|
By: Elizabeth Fustos and Amy Ostrander, Chemonics The blog highlights some important shifts that are foundational when applying a systems thinking approach. First and maybe most important is developing a solid understanding of why the system and individual actors work/behave the way they do. In more traditional approaches, there is an assumption that actors lack capacity or just 'do not know better,' but in reality, local actors and systems evolve to fit the local contexts. A second shift that is critical is developing insights into why an actor, and eventually a whole industry, would see value in changing the way they are currently working. Any durable shift has to come from the perspective of the local system and actors. Another shift that is not expressly included in the blog, but is critical, is the need for aligned change in interconnected systems. For example, it was crucial that ARDS understand the contexts in the financial services market system and equipment market system in relation to other firms and the overall system adapting to European markets that are more stringent in terms of grades and standards. Helping one firm access equipment has to be done with the intention of easing the risks/smoothing the path for other firms to be able to do the same. The new AGRO program is designed to build off of its predecessor’s lessons from both failures and successes. Focusing Project Design on MSD The facilitative, systems approach required for market systems development (MSD) is not always intuitive to project staff. Those accustomed to working on traditional development programming have focused on training for beneficiaries, and those coming from the private sector have focused on one business, not an entire system. That challenge became clear when a Chemonics-led team created the first work plan for the USAID Agriculture and Rural Development Support project (ARDS) in Ukraine in 2016. Despite feeling that the project team had a good grounding in the theory of the market systems approach, the work plan quickly filled with training and workshops. Chief of Party Patrick Rader and Deputy Chief of Party Kseniya Sydorkina decided to pause and develop a tool that would help the entire team think through market systems and create a more flexible plan. The result was the MSD Analysis Framework, which we include with this blog post to promote greater sharing of practical tools for MSD implementation. The tool includes three straightforward stages as a framework to walk a team through the analysis of a market system: a) Background (identify opportunities and system constraints); b) Analysis Framework (identify needs and gaps in the system); and c) Strategic Framework (identify behaviors and processes that need to change, key outcomes, and solutions and interventions). In introducing the team to the tool to guide data and analysis driven implementation, Rader and Sydorkina developed four main principles to follow when using it. 1. Focus on incentives Through the tool, Rader and Sydorkina coached the team to focus on understanding behaviors as the core of their analysis: What are the incentives and motivations behind the behaviors of the many actors involved? This is where the team had their “aha moment.” They discussed how they could approach getting key actors to do something different, and most importantly, keep doing it. They planned for long-term behavior change for sustainability from the very first day. By identifying and targeting incentives to encourage the crucial actions needed to improve the system, the team would ensure that the new, beneficial behavior remains a part of the system long after the project is over. 2. Involve the project team For project success, the entire team needs to understand, buy into, and execute the strategy. This is particularly true in market systems work, where staff are expected to identify what is working and what is not and help redirect as needed. It is critical to carry out the early analysis using the MSD Analysis Framework collaboratively with the project team. It is an opportunity to encourage them to question themselves and their understanding of how single businesses or value chains function within a wider system, to think through behaviors and incentives together to get a clearer picture of reality. Done well, this step can foster deeper understanding of the work ahead and greater buy-in across the team. 3. Establish adaptive management systems Using the information gathered through the tool, the ARDS team created deliverables and key milestones. They met every quarter to review what they’d accomplished during the previous quarter, identify changes needed, and plan for the next quarter. This adaptive management approach enabled them to lead with data, responding to what they saw happening in the system, and not simply following the original plan exactly as they’d laid it out. They consistently returned to analyzing behaviors and incentives that can drive sustainable change. 4. Measure behaviors and adapt The final key was to align monitoring and evaluation planning with this tool, measuring not just immediate outputs and outcomes, but also changes in behaviors, adapting and updating approaches as the system evolved. With data on hand, the team could see what improved and what did not budge, and they could adjust their approaches and support accordingly. The Pay-Off: Results in Action Using this approach, ARDS successfully fostered and supported long-term behavior change in key market actors. In one example, Triada, a berry processor that had previously sold only to Russia saw its market close during hostilities between the countries in 2014. The ARDS team co-invested with Triada to purchase processing equipment — doubling its processing capacity and shifting its focus to higher-quality products for the European market. Triada dramatically increased its procurement, which supports small rural growers, and now invest in ensuring product quality to meet the higher international standards. The market incentive will ensure that these practices continue long after ARDS has closed. Transferring Knowledge & Adapting the Tool As ARDS nears close-out, the MSD Analysis Framework has also helped with institutional memory. The team can look back at their initial analysis because they documented it and can see what they’ve tried already and what has led them to where they are now. This can be especially important for transitions to new projects and developing new proposals and work plans. In November 2019, Chemonics started implementing the USAID Agriculture Growing Rural Opportunities (AGRO) activity, which will build on various elements of the ARDS program and explore new areas of market systems programming in eastern and southern Ukraine. In designing an initial rapid assessment to inform the value chain and geographic focus for the new activity, the team decided to revisit the MSD Analysis Framework from ARDS rather than start from scratch. They reviewed the completed tools and developed a format for the assessment and report that similarly identified constraints and opportunities, priority outcomes, desired changes in behaviors, and potential solutions and interventions for each potential value chain. The team’s interview questions, survey design, and discussions with activity staff and stakeholders focused on gathering information to inform system-level thinking from the beginning. Given AGRO’s mandate to support additional value chains beyond ARDS’ focus on dairy, meat, fruits, and vegetables, the design of this assessment was flexible enough to allow the AGRO team to verify the ARDS market systems solutions that worked or the components that needed adapting, with the goal of scaling up to new geographies or across value chains. In addition, the assessment’s flexibility allowed the team to start the process of identifying constraints, opportunities, behaviors, and potential solutions for new value chains. Sharing and Improving We’re sharing an example of a completed analysis framework tool used under ARDS for the fruit and vegetables value chains. The MSD Analysis Framework is easy to adapt for any context and program by choosing a value chain or system issue to focus on and then inserting the most relevant actors in each section. ARDS, for example, used the framework tool to understand the dairy and fruits and vegetables value chains, their supporting functions, as well as agri-food controls. Chemonics is sharing this tool to build the collective toolkit for MSD, and kick-off more tool sharing throughout the course of the upcoming Market Systems Symposium. We hope that your teams find this tool to be a useful way to make market systems theories work in practice, we are excited to see it adapted for other programs. Chemonics looks forward to using this tool on other programs around the world, adapting and improving it as we go. What tools are your teams using to put theory into practice and how can we foster a culture of sharing and collaboration to ensure stronger market systems across the globe? 
0 Comments
By Melissa Scudo Gasmi, Eileen Hoffman, Tracy Shanks (Chemonics)  A site visit at an Aflasafe demonstration-scale manufacturing plant in Ibadan, Nigeria. With Chemonics and Dalberg, IITA implemented the Aflasafe Technology Transfer and Commercialization Project, with funding from the Gates Foundation and USAID. Photo by: IITA / CC BY-NC In the following post on private sector engagement, the authors provide three examples of working with private sector actors. In the first intervention, a project works with a segment of the tourism industry in Jordan to help them connect to international marketing platforms. In the second, a project works with a specific business on how to commercialize a new product related to reducing aflatoxins in crops, and in the third, a project facilitates public-private partnerships related to entrepreneurial support services. While all the examples give some good ideas on ways to work with private sector, from a systems perspective there are important questions that practitioners should be asking and testing when applying any of these tactics.  The methodology used to commercialize Aflasafe can be adapted by research institutions or donors seeking to take new innovations to scale Donor agencies, such as the U.S. Agency for International Development and the U.K. Department for International Development, have made private sector engagement, or PSE, a key element of their development strategies. Being more intentional about including the private sector in development is good news. Over the years, we in the development community have come to recognize that the success of the private sector depends on strong development outcomes. Both parties succeed when there is a healthy, well-educated, and skilled workforce, efficient and productive supply chains, better business environments, and stronger economies that drive more domestic commerce and international trade. At Chemonics, we have learned there is value and opportunity for PSE in any other sector and at any stage of development. In the past, PSE often occurred once activities had been fully designed. Now, the private sector is active from the design and establishment of shared objectives to implementation and evaluation of outcomes to ensure we’re achieving sustainable results for all. So what is the implementers’ role today? We believe our role is to bring partners together find ideas based on shared risk and shared reward, create sustainable and long-term impact, and test and scale up solutions. There is no one-size-fits-all approach to do this, but these are three PSE models that we have tried and tested in different parts of the world and with which we have seen some success. The traditional model: Finding the sweet spot Worldwide, travel and tourism is one of the largest economic sectors, supporting 1 in 10 jobs and generating more than 10% of global GDP. In the last five years, 1 in 5 new jobs were created in the tourism sector. For lower-income countries, this represents a significant opportunity for job creation and export growth, particularly among local businesses that provide services where large multinationals have little presence. In Jordan, local small- and medium-sized hospitality companies outside of the capital of Amman struggled to attract tourists and grow their businesses. Traditional marketing techniques such as word-of-mouth, printed brochures, and basic websites were not generating enough growth. As the implementer of a tourism development program, we worked with the Jordan Tourism Board to increase sales and jobs in the industry. We recognized the untapped potential of local businesses and knew it could be realized if the tourism industry could successfully reach an international audience. We engaged the world’s largest travel technology companies, TripAdvisor and Expedia, to help identify solutions that would give the websites with more global tourism offerings, provide small Jordanian hospitality businesses with access to global tourists, and contribute to our development goals. As the implementing partner, we facilitated collaboration between the travel technology companies and the Jordan Tourism Board. Through these partnerships, the Jordan Tourism Board was able to take steps to reach a new, broader audience of international travelers, showcasing what Jordan has to offer as a travel destination. Activities included Expedia holding a half-day workshop in Amman to teach local hospitality businesses how to create effective accounts. Additionally, TripAdvisor signed on to an agreement with the Jordan Tourism Board to provide support valued at $250,000. The private sector direct model: Scaling innovations developed through research institutions Aflatoxins — toxins produced by soil fungi that can infect commodity crops — threaten food security, health, and trade in many low- and middle-income countries, particularly in Africa. They contaminate food supply chains, and aflatoxin management has cost an estimated $1 billion per year in just the Philippines, Thailand, and Indonesia. They can also cause stunting in children and lead to liver cancer. After more than a decade of research, the International Institute of Tropical Agriculture developed Aflasafe, a natural product that combats aflatoxins. However, getting this product to the market was another challenge. The gap between a scientific discovery and its commercialization is known as the innovation “valley of death,” a nod to common hurdles that stand between innovative solutions and practical scalability. The problem facing Aflasafe’s commercialization is that the product does not have a direct impact on agricultural yields. And, the negative effects of aflatoxins in the body can take years to manifest, resulting in very low awareness among farmers because they are often invisible to the naked eye. We knew commercialization of Aflasafe depended on a market-driven approach and leveraging private sector assets, so IITA set up the Aflasafe Technology Transfer and Commercialization Project and implemented it in partnership with Chemonics and Dalberg Advisors. To reach the necessary number of farmers and ensure Aflasafe would be viable, ATTC developed a five-phase commercialization methodology for taking science to scale, focused on analyzing and presenting market analysis to private investors and business opportunities to manufacturers. Since November 2015, ATTC has seen six market assessment strategies, four technology transfer agreement licenses, two distribution licenses, and three actively operational manufacturing plants. This commercialization methodology can be adapted by research institutions or donors seeking to leverage the resources of private business to get new innovations on store shelves and in the hands of users who will benefit. . See a larger version of the image here. Image by: Chemonics The multiple partner/complex model Private sector growth in LMICs is often stymied by a workforce with insufficient skills and technical training, resulting in youths and entrepreneurs unprepared for today’s tech-driven economy. Local companies are challenged to use modern technology solutions that would help them compete in lucrative markets, and global technology companies’ products are not utilized to their full potential in these markets. To tackle these challenges in Moldova, we applied a collaboration model known in Europe as the “golden triangle,” bringing together industry, government, and academia to develop innovation centers based on the needs of the private sector. Multinational technology company Microsoft approached the development community with an interest in building an information technology training center in Moldova. We took the initial concept and evolved it through co-creation with Microsoft, IBM, the Technical University of Moldova, and the Moldovan Association of Information and Communications Technology Companies into an ICT Center of Excellence. Using a similar co-creation process, we have since transformed business ideas from numerous companies into six other university-based excellence centers, which include shared learning spaces, coworking and startup zones, globally recognized training programs for cutting-edge and in-demand technologies, and collaborative production facilities with equipment, tools, and software for rapid prototyping. As the development implementer, we identified the shared business and development interests among all the partners. We convened private sector companies with similar business needs and ideas as well as academic institutions with shared technical interests and long-term commitments to training and education. Global and local companies contributed technical know-how, software, hardware, training programs, and trainers to ensure the global relevance and quality of services. Universities provided physical spaces and long-term management, while local private sector associations provided business planning, management systems and support, and continual input on private sector business needs to ensure sustainability. Meanwhile, donor, university, and industry association representatives serve on the centers’ boards of directors for balanced oversight. Having strong, credible partners and using proven global approaches convinced the Moldovan government that these centers would be well-funded and managed and would achieve both business and development objectives, ensuring long-term critical government support. Through the centers, 180 teams and startups have benefited from acceleration programs in technology, fashion, and digital business. Some 34,000 youths and professionals have developed in-demand technical skills in coding, cybersecurity, the “internet of things,” electronics, fashion pattern-making, design, and robotics. We project that, by the end of 2020, the centers will have improved the skills of 40,000 youths. We know that doing good and doing well are not mutually exclusive. If we are to make achieving the Sustainable Development Goals profitable for the private sector, we must understand the needs and strengths of all partners and design projects on this foundation of shared value to transform development outcomes. Whether the role of the development community is to identify opportunities, convene stakeholders, facilitate partnerships, provide technical guidance, or measure impact, development practitioners should adapt their involvement according to unique circumstances and opportunities. Only then can we facilitate the right partnerships that will bridge private sector interests and development goals. AuthorsMelissa Scudo Gasmi By Kristin O'Planick, Market Systems Specialist, USAID  Photo Credit: USAID/Morgana Wingard In this blog, Kristin provides and excellent overview of the emerging importance of applying resilience lenses in market systems approaches. Besides providing an excellent summary of where we are and the challenges going forward, she raises a critical point about need to see markets relative to the value to provide back to society and in the case of resilience support communities as the weather shocks and stresses. In this this context the resilience of a market system is important, but its resilience has to be in the context of how it supports/provides value to actors/communities participating in the system. Looking forward to part 2, and to the discussions that will be had on this topic at MSS2020.  Kristin O'Planick The market systems community has been circling around the idea of market systems resilience (MSR) for some time now. The topic has gotten some play in larger fora over the past year. There was an MSR track at the Market Systems Symposium, sessions at the most recent SEEP Conference, and a smaller roundtable conversation digging into questions of measurement. Yet we are still very much in an emergent space. The U.S. Agency for International Development (USAID)’s goal is to reach a place where the application of a resilience lens is the default posture in market systems programming.
Where do things stand? Over the past year or so, some guidance and tools have come out. A few programs are iterating attempts to program for and measure MSR. This community is actively exploring various methodological approaches to measurement. This is great news, as there is unlikely one “right” way to do this given the heterogeneity of contexts and resource levels with which we work. To facilitate greater use and adaptation of this first wave of MSR measurement resources, they can now be found in the Tools section of Marketlinks. Exploring these documents will provide a foundational understanding of what we think to-date. For those who want the upshot now: One working definition of MSR is “the ability of a market system to respond to disturbance in a way that allows consistency and sustainability, or that leads to improvement, in the market system’s functioning.” Bearing in mind that we care about the market system’s functioning in terms of how it provides protection or enhancement of population well-being (e.g. by providing income or affordable goods and services, etc). We don’t care about the resilience of the market system per se, but what outcomes are achieved through it. Any good economist or complex adaptive systems thinker will know that market systems are inherently resilient: they are self-organizing systems that will reorganize in response to shocks and stresses. This is why movement of goods in Haiti shifted from trucks to motorcycles to donkeys when roads were destroyed by Hurricane Matthew, why refugee camps have pop-up markets with rather diverse goods, and why it is still possible to purchase anything in Syria if you have the money. What USAID is trying to do through MSR programming is influence the characteristics that shape this self-organization such that the reorganization post-disturbance adds value from a development objective perspective (more inclusive, poverty-reducing, etc). Those of us who have put forth resources thus far seem to be on the same page in terms of what the general characteristics (or principles or determinants) are that underpin resilience capacity in a market system to absorb, adapt, and transform in response to a disturbance. As a sampling:
To be sure, we must continue to build an evidence base for these and a practice around their practical use on the ground. Related, we know that monitoring trends in these characteristics is more important than measuring absolutes. What is the “right” amount of connectivity? Too much and a disturbance impacts the whole market system. Too little and the ability to tap resources and new customers is insufficient in the face of a disturbance. Each context may require a different “ideal” point on the spectrum. Read Part 2 of this blog to explore lessons so far and critical learning areas yet to be explored. By Marcus Jenal, Partner, Mesopartner  Photo by Luis Villasmil on Unsplash For most practitioners, the hardest part about applying systems thinking is shifting how they frame whatever problem they are trying to address. As Marcus describes in his blog, many practitioners think about their main challenge as something static, requiring a specific technical fix, or as Marcus suggests, a band-aid (plaster). While technical fixes are certainly a component of most development challenges, the fundamental question is always around why the known solution does not resonate within the system. This post provides a thoughtful way of explaining the importance of embracing complexity in development, starting with changing the key questions we ask and the frameworks through which we interpret these development challenges.  Marcus Jenal Market systems resilience connects systemic change and sustainability
Resilience was one of the central themes at the 2019 Market Systems Symposium in Cape Town, where I recently had the pleasure to interview Kristin O’Planick, for a Systemic Insight Podcast (subscribe wherever you download podcasts). Kristin spoke about a new framework for assessing market systems resilience being designed by USAID. The conversation about market system resilience brings together several threads I have worked in my professional career, particularly on measuring systemic change and sustainability. The perspective I offer here contrasts markedly with some recent BEAM Blogs (Why can’t we measure systemic change? and How can we fix the biggest sustainability problem facing development?). Systemic change is not about fixing current problems I want to challenge one dominant view in our field which seems to conceptualise market systems development as being about finding fixes to specific problems in the system (an underperforming function or rule) and then scaling these fixes out to reach large numbers of beneficiaries. This happens first through project partners buying into that fix, then scaling it out, and then through other market actors crowding in and copying the fix. In my opinion this way of thinking about systemic change is akin to putting plasters (band-aids) on system wounds, not trusting or believing in the ability of the body to heal itself. An alternative view of systemic change, inspired by resilience, would be more about enabling the body to heal itself. This does not mean that we don’t need plasters at all; they can help the body to heal in acute cases. But without building up the healing capacity, we will never be able to step back from the role of first-aider. The interesting thing is that in our daily lives, we seem to understand this much better than in our work lives (see my recent blog - We seem to understand complexity in life – why can we not in our work?) A better way of thinking about systemic change was described in depth by Shawn Cunningham and I in Rethinking Systemic Change for the BEAM Exchange in 2016. We concluded that "Systemic change is most likely to be achieved when influential actors or networks of actors become aware of how change happens, and their role in realising the evolutionary potential of the economy. These influential actors need to develop the capability to engage in, collectively discover and continuously shape their institutional landscape." In other words, what we strive to achieve when using the MSD approach is not merely to fix some current problems, but to build the capability for continuous learning and development into the market system. This is in line with Carl Folke’s definition of resilience: "Resilience is about cultivating the capacity to sustain development in the face of expected and surprising change and diverse pathways of development and potential thresholds between them” (Folke, 2016) Sustainability as adaptive capacity This brings us to the next concept that resilience helps us to reframe sustainability. To use the same metaphor as above, current views on sustainability seem very much about trying to ensure that the plasters (band-aids) we put on stay on as long as possible. Or in other words that a fix that a project puts in place (a new business model, a new service, etc.) will be continuously provided also when the project stops funding it and, ideally, forever. Is that really what we should be after? With dynamic, shifting economies, this particular solution might not be relevant anymore in a couple of years, what then? An economy is dynamic and evolving. So why not equip market actors with means to navigate this dynamic landscape, rather than to put in place a solution for a current problem? That, for me, would be a truly sustainable form of market systems development. Back in 2013, Lucho Osorio and I conducted an e-consultation on M&E in market systems development and one of the findings was that we should see sustainability not as how long our particular solution persists, but rather as how able the market system is to "avoid or minimize future shocks and benefit from new trends whilst staying inclusive, productive and efficient” (Osorio-Cortes and Jenal, 2013). We called this ‘stainability as adaptability’. Daniel Christian Wahl in his book Designing Regenerative Cultures describes sustainability as a learning journey: “Sustainability is not a fixed state that can be achieved and then maintained forever after. Sustainability is a dynamic process of co-evolution and a community-based process of continuous conversation and learning how to participate appropriately in the constantly transforming life-sustaining process that we are part of and that our future depends upon.” Sustainability as a concept also has an important role to play in its original meaning: how we can live on this planet in a way so future generations will also be able to live happy and fulfilled lives. That is a whole different challenge, which is, I believe, not taken into account enough in market systems development. The big question there is how we balance social, environmental and economic sustainability, without seeing these as trade-offs. What I don’t want to imply in this article is that programmes are not doing any of this at the moment. They are. Yet the conceptual discussion about systemic change and sustainability seems to be dominated by first-aiders. I think it is important to put more emphasis on a system’s resilience and give it priority over fixing current problems. All in all, I would say that market systems resilience is a helpful concept when thinking about our legacy as development actors both with regards to systemic change and sustainability. By Giulia Salmaso, Senior Associate, Economic Growth, Palladium  Photo by Ravi N Jha on Unsplash In this post Giulia highlights the challenge of gender inequality in market systems approaches. As Giulia suggests, the issue of gender is often framed from a social or moral perspective. For many practitioners, this way of contextualizing the gender issue has created a type of push-back resulting in many projects deciding to think of gender as a secondary consideration. At the same time, from a more objective systems thinking perspective, the idea of restricting 50% (or more) of the human capital in a social system from engaging in developing and testing solutions to emergent risks and opportunities is a real limitation on a market system. Especially from complex systems understanding, it is essential that a market system actively engage as many people – regardless of gender – as possible to increase the likelihood of generating value added solutions for a society. In this context, gender inequities are not secondary, but are of primary concern.  Giulia Salmaso It’s no news that we need gender equality to achieve sustainable growth and eradicate poverty. Yet, ‘gender’ is often found only at the end of reports, a small paragraph among the many ‘cross-cutting issues’, an add-on at best. I brainstormed about why this is the case at the Market System Symposium, earlier this year in Cape Town, with a room filled with practitioners who haven’t lost determination. We discussed issues ranging from difficulties in mainstreaming gender to more controversial aspects such as when and how to target women’s specific constraints. Overall, we all brought challenges to the table, but also many examples of how market systems development can be effective in redressing imbalances to empower women and contribute to inclusive impact. Here are some takeaways. Gender, Women’s Economic Empowerment and Market Systems Development: a (mis)perception that we better fix It seems that market systems development (MSD) programmes are confronted with a significant push back when it comes to Women’s Economic Empowerment (WEE) or worse gender. Eyes starts to roll, people yawn, doors could even slam shut – brace yourself, it isn’t going to be easy. It appears to be grounded in the strong perception that women’s (economic) empowerment is ‘socially’ driven and has nothing to do with markets, and that including women’s constraints in the market diagnosis and intervention design (whether it’s mainstreamed or targeted) would shift the programme focus away from improving productivity and increasing incomes. When ‘gender’ and WEE come with too much ‘social’ baggage simply using a different language helps. Some of us found it very effective to discuss with staff about women and men customers, producers, employers and employees; how women and men are currently engaging (or not) in market systems and what products and services women and men require, afford, prefer and can access. The deal with Mainstreaming: It starts at the start (and ends at the end) … Gender mainstreaming means integrating a gender perspective into the preparation, design, implementation, and monitoring and evaluation of projects, with a view to promoting equality between women and men and addressing discrimination. While most programmes mainstream gender in their measurement systems for reporting purposes, gender mainstreaming is generally patchier across the rest of the programme/intervention cycle. Essentially, it seems that although we often ‘disaggregate impact’ we miss mainstreaming in the first steps and hence miss out on generating inclusive results. The two steps of the intervention cycle that seems the most neglected are:
… It generally accommodates women’s constraints but does not address them – so beware … Acknowledging that women face additional constraints allows programmes to mainstream that understanding and respond to those constraints. For instance, when arranging a training or a marketing event, programmes can recognise that women’s lack of mobility and care duties often prevent them from participating in such events. As a result, the programme should select a venue and timing that accommodates the needs of women. Mainstreaming in this sense doesn’t necessarily address the root causes of gender inequality nor targets women’s constraints, but allows programmes to be responsive, facilitate broader, more inclusive, reach and increase the possibility that both men and women will benefit from interventions. Mainstreaming tactics, which often are essentially about ‘opening and leaving the door open’, also help when women are ‘invisible’ players. Indeed, by mainstreaming one can challenge gender stereotypes which lead the private sector as well as programmes into believing that women don’t buy or sell a specific product or are not involved in a certain activity and therefore should not be engaged. … it is simply not enough Unpaid care, lack of mobility, limited decision-making power and control over resources are among the challenges faced by women across countries and sectors, which systematically prevent them from engaging effectively in market systems and benefitting from growth. Whether we are attempting to improve market systems in agriculture, manufacturing, housing, health or education, chances are extremely high that gender inequality, if unaddressed, will affect the ability of programmes to improve the performance of market systems sustainably and generate enduring impact. Hence, the need to act in tandem – beyond mainstreaming there is a need for programmes to design and implement interventions that target women’s constraints. Debunking (more) myths about WEE and MSD – the (not so) hidden incentives of market actors to address gender inequality MSD programmes tend to refrain from designing interventions targeted at addressing women’s constraints under the assumption that market actors lack the incentives to do so, even with programmatic support. However, it is precisely the systemic nature of market systems approaches that allows programmes to understand women’s constraints as part of the wider market systems, and identify which actors have the incentives to address them (with the right support). Unpaid care, lack of mobility, low decision-making authority, lack of access to information etc. translate into untapped labour, absenteeism, high staff turnover, unreached customers, sub-optimal supply and the list continues. This means that the business case is strong for the private sector to find solutions to constraints faced by women. Similarly, these constraints reflect also government failures, meaning that public actors have strong incentives (and mandates) to address gender inequality. Facilitation approaches are proving more and more effective, but somehow the good news still goes unnoticed. Labour saving technologies, the provision of on-site nurseries at the workplace or discounts for workers to access public or private-run nursery facilities, as well as catering for transportation needs are just some examples of how market systems development can effectively contribute to women’s empowerment while improving the productivity of market actors. Nonetheless, programmes should acknowledge that these types of interventions are mainly effective in addressing access domains of women’s empowerment, leaving the agency gap open. The “agency” beast and why it makes us feel uncomfortable As it stands, women’s agency constraints, such as low decision-making power, low control over resources and incomes, are perhaps for the bravest and the most farsighted. If access dimensions of women’s empowerment perfectly fit with facilitation approaches, as an implementer I appreciate how agency can be a (different) beast. Undoubtably, addressing agency likely requires the quintessential market systems development practitioner to step out of her/his comfort zone i.e. the private sector, the high investment leverage, the projectable results at the end of the year. How so? First, actors that generally have immediate incentives and capacity to address women’s constraints are often actors that MSD programme engage with little or even look at with suspicion – the civil society, community organisations or local governments at best. Second, the nature of these actors, implies that they are unlikely to be able to commit financially; yet, while investment leverage is of critical importance for MSD programmes, it does not supersede all performance metrics. Third, it takes time and the move from outputs to outcomes to impact requires a more patient and complex pathway – which means programmes must understand and target women’s agency from the onset and be able to revisit interventions as results emerge. Once again, the beauty of the market systems development approach is that it embeds great flexibility and creativity – all of the above is possible. In conclusion – it just needs to be done (and done MUCH better) These takeaways tell a simple message – the market systems development approach is perfectly suitable to contribute to redressing gender inequality. Although challenges do exist, most seem to be rooted in the status quo and the perception that market systems development programmes can neglect gender and disregard their mandate (as well as the business case) to improve the empowerment of women. And finally, “Well begun is half done”; programmes where gender is part of the conversation from day one and part of everybody’s responsibility are programmes with the biggest potential to contribute to transformational impact, empower women and help rebalance gender inequality. Course correction is also possible though – if you are interested to read more about how programmes can improve their impact on WEE by tackling common challenges have a look here. About the AuthorGiulia is an international development practitioner with a strong background in economics and expertise in the fields of market systems development, monitoring and result measurement and women’s economic empowerment. She has extensive field-based experience managing, implementing and evaluating private sector development programmes, in programme reporting and building the capacity of local staff. By Jonathan Mitchell, the Oxford Policy Management portfolio leader for financial and private sector development, and project director for the Decision Support Unit of the DFID private sector development programme in the Democratic Republic of the Congo. Note that the views and opinions expressed in this article are those of the author and do not necessarily represent those of his employers, donor organisations, or the programmes he works with.  Jonathan’s blog post highlights some important points and insights surrounding the question of the effectiveness of market systems thinking approaches. In addition to these relevant insights from Jonathan, I would add that the whole discussion of evidence also has to recognize what is it that we want to learn or evaluate. Jonathan touches on this when he points out that market systems projects have different objectives from more traditional project approaches. Market systems approaches also frame the challenge very differently from traditional expert-driven technical fix approaches in the understanding that real and durable change has to come from within the local system, which has important implications on issues like attribution. Maybe the most important takeaway from Jonathan’s blog post that the development industry has to struggle with is the separation of the donor political economies’ realities with honest, objective debate and learning about the role and effectiveness of international development.  Jonathan Mitchell In Hans Christian Andersen’s story The Emperor’s New Clothes, the monarch parades before his subjects in his new regalia and no one dares point out that he’s naked. It takes a child in the crowd to call out the charade.
Looking at barriers to effective learning at the Market Systems Symposium recently, we took inspiration from Andersen’s story. Cultural and structural obstacles that frustrate meaningful learning develop over time in any field. Every one of us involved in delivering MSD programmes needs to put ourselves in the place of the child in the crowd from time to time. No, we do not think that the market systems approach is a charade. But the evidence base for MSD approach effectiveness is not strong enough. We can undoubtedly do better, but only if we begin to ‘call out’ some of the entrenched issues that are hiding in plain sight. Evidence matters because the market systems approach is increasingly visible in donor-funded private sector development, and also becoming significant in non-traditional social development sectors such as water and sanitation, health and education. In our discussions we asked ourselves two key questions:
Do we have robust impact evidence from which to learn? On the face of it, the suggestion that there is a lack of evidence of impact about the effectiveness of market systems approaches is absurd. Since the first explicitly market systems project, the FinMark Trust launched by DFID in South Africa in 2001, the BEAM Exchange Evidence Map has collected over 150 evidence documents on market systems interventions across 41 countries. Each of these documents reflects a large volume of monitoring data. The problem is not with the quantity of evidence, but rather with its quality. Few of these analyses meet the minimum thresholds of evaluation rigour. BEAM’s Evidence Review in 2019 reported clear signs of publication bias, and we cannot learn from mistakes that we hide. In addition, most of the evidence was commissioned by implementation teams – so not strictly independent. Few of the evidence base documents are ex-post impact evaluations, which is the most reliable way to assess the overall performance of market systems programmes. By 2019 only 14 percent of the Evidence Map comprised impact evaluations and external reviews. So it appears not much has changed since Ruffer and Wach’s review of M4P programme evaluations in 2013 reported that ‘evaluations reviewed here are generally weak’ in terms of considering systemic changes, data quality, triangulation practices, use of theories of change and consistency of units. Clearly there is a problem here. But do market systems projects perform any differently in this regard to other similarly complex development sectors? Part of the problem is obviously structural to the aid sector generally. The need to show that taxpayers’ money is being spent effectively generally does not sit well alongside a nuanced reporting of a complicated picture. In addition, the recipients of aid do not generally complain about poor services. However, we should recognise that monitoring the impact of a market systems programme is harder than, say, building a school with aid funds. Market systems projects deliver, in a tangible sense, very little beyond diagnosis, facilitation and monitoring. Results are delivered (or not) by entrepreneurs adopting business innovations or public officials changing regulations, over whom the project has limited direct control. Getting accurate impact evidence from market systems projects is even harder than for other types of aid projects. Improving accuracy is partly, therefore, a technical issue of applying counterfactuals to evaluations; taking the attribution of results more seriously; and undertaking ex-post evaluations. It also is related to a commitment to "serious monitoring" (internal, longitudinal etc.) and a decade of effort and experience has gone into developing the DCED’s Standard for Results Measurement which includes independent auditing of programmes’ results measurement systems. However, in my view, the root of the problem is located in incentive frameworks created by the political economy of aid. Under pressure from donors to report rapid and extremely high impact-level results, combined with light touch donor management of monitoring systems, project teams are incentivised to generate an optimistic view of their interventions. This tendency is only sharpened when payment by results modalities are used - where consultants’ payments are contingent upon the achievement of specific high-level results being achieved. The ICAI review of DFID’s private sector development work in 2014 gave an amber-red (meaning ‘performs relatively poorly’) score for its assessment of impact, linking this explicitly to the pressure to demonstrate results against measurable targets, rather than systemic change and broader growth and poverty reduction. In short, everyone is incentivised to pretend that the Emperor is wearing beautiful clothes. I do not think this situation is inevitable. We need inspirational people to create the space and environment where development practitioners are incentivised to tell the truth about the results of their interventions and to report failures as well as successes. This is not an easy task, but it is vital and it is possible How can we learn better? Assuming an environment is created that will generate sufficiently robust evidence to support learning, the question emerges – how can we learn better? We think this requires action at the cultural and institutional level. Even though humans are biologically wired to learn, institutional learning in development cooperation seems to be fragmented and owned by individuals. Many stakeholders recognise the importance of building the culture of learning but struggle to put it into practice. Happily we already have a pretty good idea from experienced MSD programme managers, about how to build high-performing teams with strong learning cultures. Donors also have a role in either promoting or inhibiting the learning culture. In general, the donor approach has been to out-source learning to consultancy firms and platforms run by external entities such as the donor-financed BEAM Exchange, DCED or MarketLinks. These online platforms perform a useful function in that they are a repository of evidence and can synthesise and evaluate this evidence with a degree of critical oversight. However, institutionally, we need to evolve from scattered independent evaluations and ad-hoc research about market systems topics into a robust and recognised field of learning that attracts independent researchers from different backgrounds. From this viewpoint our current repositories of knowledge and evidence are not ideal. Instead we should be looking to create an enabling environment for serious learning around market systems. First, market systems practitioners (implementing organisations) should make effective their demand for better evidence and knowledge by being prepared to pay for it. In this way the online platforms can create a sustainable revenue stream which is independent from the pressures that come from donor funding. Second, the distance between market system practitioner and academic worlds should be reduced. Market systems thinking has its conceptual roots in a respectable and currently vibrant academic critique of neo-liberal economics, drawing upon behavioural and evolutionary economics, and the science of complex adaptive systems. (See for example Cunningham & Jenal on systems change, or Raworth’s work on doughnut economics). There is a window of opportunity for the market systems world to establish links with academic institutions in both donor and recipient countries in order to establish the latter as repositories of market system thinking and application. For practitioners this solution offers an institutionalisation of knowledge which the private sector cannot replace. For academic institutions, engaging with market systems practitioners will yield a rich palate of empirical case studies and the promise of funding from a new source. In conclusion, we need to be honest with ourselves that while the Emperor has new clothes, they still look a bit threadbare at present. We all have a role to play in taking learning more seriously. Donors should engage with politicians to nudge the incentive frameworks that they are creating away from impact-level to outcome-level results. Implementing agencies should value their ‘results’ not just as a way to demonstrate the effectiveness of a specific aid programme but as a valuable input to a broader learning process. And academics should recognise that the MSD approach presents their institutions with an important opportunity to apply some of the most innovative thinking in a relevant and meaningful context. By Mike Field, Market Systems Specialist, EcoVentures International   Mike Field In a previous blog on this site, “Diversity and Inclusion in Market Systems Programming,” contributed by Anoushka Boodhna and Devi Ramkissoon, the authors raised an important evidence-based discussion on why diversity and inclusiveness are central to more durable economic growth. During many conversations around resilience and economic growth at the 2019 Market Systems Symposium, I found it useful to reframe the purpose of a market system. If you can, think of a market system as evolved social mechanisms that, when most effective (i.e., provide the greatest good for the society), can proactively manage risks, solve problems and generate more resources. The challenge when market systems are not working at their best is they often become tools of the powerful and connected to extract resources and consolidate power. So the question remains: what to do when a market system is not working effectively for the wider society? Specifically, there are three interconnected and interdependent capacities that a market system requires to effectively perform its functions for a society. Without these capacities a market system cannot effectively allocate human, financial and other resources in response to emergent risks and opportunities. These three systemic capacities include:
It is through the interdependent interactions of these three capacities that a market system can effectively allocate resources to various combinations of people and ideas that most resonate with the society, as well as an ability to define relative value between different types of risks and associated products and services. A key point here is how market systems self-organize to be responsive to consumer/societal demands by innovating ways to meet demand and add value (i.e., by mitigating, neutralizing or otherwise managing risk proactively). These dynamic allocation processes ensure enough diversity and inclusiveness are integrated into the market system to best secure the wider society’s ability to proactively manage risk and add value. By Dun Grover, Director of Monitoring, Evaluation and Learning, Transforming Market Systems Activity (TMS) Honduras, ACDI/VOCA  In this blog, Dun highlights some important learning from his project’s efforts to apply more rigorous monitoring methods when tracking systemic change. A key point is that quantitative methods are valuable when tracking systemic change, but they have to be understood in the context of complexity. As Dun explains, there has been pushback on the use of quantitative methods when trying to monitor and learn about systemic change. While there is a valid argument against quantitative methods, the concern is more narrow and related to how many practitioners perceive such methods as providing absolute answers. For example, traditional approaches have applied such methods to come up with absolute yes and no answers related to project attribution. While we have learned that such ways of thinking are not valid from a systems thinking perspective, we also have to recognize that quantitative methods are important when applied properly. The blog lays out important considerations and insights into how to ensure quantitative methods add value when trying to gain insights into whether and how systems change.  Dun Grover In Cape Town, I had the opportunity to share some of my experiences working with the Honduras Transforming Market Systems Activity and our market system diagnostic – more specifically, how we were attempting to measure several aspects of market systems, including resilience. One of the points that sparked dialogue at our Symposium session was the feasibility and usefulness of quantitative methods (versus qualitative ones) to measure market systems and their attributes.
Since then, we have completed the market systems diagnostic. I encourage you to check out the dashboards and whitepaper here at http://cohep.com/sistemasdemercado/. Now that this process is complete, I’ve had the chance to reflect on the discussion from Cape Town. In addition to the interesting results which you can read about in the link, here are some of the realizations I’ve had: Quantifying helps inform management decision making, even if those measures are less precise. I think the challenge most people bump into when attempting to quantify complex systems is that is impossible to do so with the same level of precision that we can, say, measure yields. USAID’s definition for precision states that “data should have a sufficient level of detail to permit management decision-making.” It turns out that we can measure the number of shocks experienced and the pace of recovery of enterprises across a sample of enterprises in an industry within an acceptable margin of error. Though these may be proxies for systems-level change, they are very meaningful measures that inform adaptive decision-making for the project and its stakeholders. Data analysis brought to light several hidden features of Honduran market systems, such as the impact of certain shocks of enterprise performance, that have shifted activities and generated insights that have prompted qualitative inquiry. You should focus on the key variables and their directionality of change – you don’t need to explain it all. In statistics, R squared is the percent of variance explained by the model. 0 percent indicates the model explains none of the variance and 100 percent indicates the model explains all the variance. In modeling our data, we found relatively low R squares (note: this is not surprising for social sciences fields). Despite this, we also found 17 variables that were statistically predictive of systems performance results. These discoveries are potential levers for systems change. Although these quantitative models might not tell you whether pulling these levers will result in an 11%, 32.5% or even a 500% increase in system ‘performance’, we do have a stronger evidence base to inform our decisions around which levers to pull in which directions. Further, we know with a level of confidence that when we do, the system will materially change to produce more of the results we want now and likely into the future. How to cross-validate to avoid overfitting your models in order to reduce errors in your predictions. In developing a statistical model, you may develop a model that fits your data perfectly but doesn’t fit in the real world and leads you to make errors in your predictions. This statistical phenomenon is called overfitting. In ‘real-life’ overfitting is akin to when we try to generalize experiences from one situation to another and mistakenly apply variables that don’t belong in our understanding. In statistical analysis it is a standard practice to use validation methods to detect and remedy such errors. One of the methods we are applying to avoid overfitting is cross-validation. To do this, we are facilitating workshops with a set of enterprises to validate the measures, identify ones which may have been mistakenly included, and, further, to identify variables which we missed that we should try to measure the next year. Quantitative reasoning is integral to constructing knowledge of systems. A core feature of systems that doesn’t change is that our knowledge and understanding of systems must always change. Quantitative reasoning is a process and way of thinking that helps us construct knowledge about systems. Quantitative reasoning involves the collection and reinterpretation of data and subsequent revisions to models and theories based on new lines of evidence. In our market system diagnostic, we intend to adapt, drop, or replace indicators on an annual basis that do not prove statistically or materially predictive of target outcomes. The purpose of this process is to continue to improve the precision and fit of our measurement methods to Honduran market systems. Further, by engaging academia and the private sector in this process, we are strengthening a systems mindset oriented towards exploration and discovery among local stakeholders in constructing collective knowledge of Honduran market systems. We welcome you to contribute to this process of learning and adaptation. If you have recommendations of variables to include in the 2019 diagnostic or methodologies to model the data, please send them to politica.economica@cohep.com or dgrover@acdivoca.org. Please include any evidence and sources as to why this contribution can help us to better explain Honduras’s market system performance. Co-Authored by Anoushka Boodhna, Consultant, EcoVentures International & Devi Ramkissoon, Acting Division Chief, USAID  In this post, Devi and Anoushka start an important evidence-based discussion about why diversity and inclusion are central to addressing complex challenges. Central to the rationale for taking a market systems approach is that market systems are complex systems, which means that they are dynamic, evolving systems that are influenced by many factors all at the same time. Because there are many factors influencing a market system at one time, traditional approaches that assumed away all the factors except for one technically solvable factor have not worked. As donors have become more comfortable with recognizing that development is complex, they have also had to realize that the process for addressing complex challenges is different to traditional approaches. Specifically, complex challenges need teams that can engage in a learning and creative problem-solving process that emerges of overtime. Organizationally, best practice for such challenges includes teams that are diverse and inclusive of as many perspectives as possible. Diversity and inclusivity are not only a nice thing to have, but are necessary characteristics of teams that are effective at generating results in complex environments.  Anoushka Boodhna In this blog series, we examine the ways in which the concepts of diversity and inclusion apply to market systems programming. We hold that diversity in complex adaptive systems is one signal of a healthy market system. To this end, embedding these principles in programming will contribute to successful market systems activities whose results will ultimately be more sustainable in the long run.  Devi Ramkissoon The concepts of diversity and inclusion are increasingly becoming integrated into workforce management across the public, private, and non-profit sectors. According to George Washington University (GWU), the term “diversity” is commonly used to describe “individual differences (e.g., life experiences, learning and working styles, personality types) and group/social differences (e.g., race, socio-economic status, class, gender, sexual orientation, country of origin, ability, intellectual traditions and perspectives, as well as cultural, political, religious, and other affiliations) that can be engaged to achieve excellence in teaching, learning, research, scholarship, and administrative and support services.” GWU defines inclusion as “the active, intentional, and ongoing engagement with diversity -- in people, in the curriculum, in the co-curriculum, and in communities (e.g., intellectual, social, cultural, geographical) with which individuals might connect.” Diversity and Inclusion (D&I) are now seen as a crucial aspect of increasing productivity for organizations, no matter what their goal.
Diversity is an important characteristic of a healthy market system. In particular, there are three ‘capacities’ in market systems that are bolstered or enhanced as a system becomes more diverse:
Within international development programming, D&I is integral when working in market systems and navigating complexity. A diverse and inclusive team is more likely to bring about the variation needed to catalyze market system change through individual and social differences in perspectives, viewpoints, and ideas. When aligned around core principles such as poverty alleviation, they are better able to support market actors to explore different pathways for business growth and inclusion as well as generate innovation where needed. A diverse and inclusive team is also more likely to support market actors to navigate risk in constantly changing environments by thinking ‘out-of-the-box’ when observing signals, making adaptations, and finding creative ways to solve problems. From program design through implementation, learning, and adaptive management, and monitoring and evaluation, diversity in staffing and perspectives can be invaluable to the market system change. For example, by cultivating an inclusive, diverse team and hiring staff with diverse backgrounds, one program in Kenya was able to advance its goals. Specifically, the program hired a marketing expert to support inputs distribution strategies for smallholder farmers. Not only did she fit a diversity profile as a young Kenyan woman, she also was from the private sector and introduced new cross-cutting interventions in ICT and media, which became a new space in MSD and agriculture. She also linked the program to a young, creative, tech startup scene in Nairobi. This is just one of the ways that programming responds positively to applying D&I concepts to MSD. In Part 2 of the Diversity and Inclusion Blog Post Series, we’ll dig deeper to explore how D&I plays out at some of the key junctures of MSD program design and implementation. By Lorenz Wild, a seasoned MSD practitioner who is currently on pseudo-sabbatical in Italy and actually has some time to think about stuff rather than dash wildly after donor reports, partnership negotiations, staff capacity building, baselines, budgets, and so on.  In this provocative blog, Lorenz highlights what many systems thinking development practitioners have been struggling with for years, which is whether the myopic focus on saving the individual ignores more dangerous systemic misalignments. A central theme in the 2019 Market Systems Symposium was a call for more donors, practitioners, researchers, etc. to question long-standing assumptions about development, economics, markets, and agriculture. Through the use of systems-thinking lenses, insights can be gained on why serious issues such as climate change, inequitable markets, and political corruption remain so intractable, including how positive change can be catalyzed. It seems increasingly clear that good development has to be able to do both, deal with immediate and acute issues facing certain populations, while also embracing complexity as a way to more effectively catalyze positive and inclusive systemic change.  Lorenz Wild This blog will raise the question of how we, as MSD practitioners, should respond to the failing global economic model upon which we base our work. I left the Market Systems Symposium in Cape Town energized and excited. Catching up with old colleagues, meeting new people, and sharing learning all made me feel like I was part of a community of leading thinkers in MSD, ready to take on global challenges for the well-being of others. But I was also left with a nagging thought, a feeling coming from the gut that has bothered me since I started doing economic development work in 2005 in Kyrgyzstan. And while I was planning on writing a simple practicable blog upon my return, I’ve suddenly been called to fry a bigger fish as I once again question whether or not, through our work, we are promoting a global economic model that is sustainable and equitable. I actually believed to have found the answer to this question some years ago when the value chain development approach evolved into Making Markets Work for the Poor (M4P), now more commonly known simply as Market Systems Development (MSD). In this approach practitioners identify opportunities to benefit the “poor” (by economic standards mostly) by capitalizing on existing market forces. I dove into the MSD world, excited to put my brain and brawn behind an approach that aims at benefitting the “poor” in a sustainable way that is also scalable, the multiple MSD orgasm. I worked in Ethiopia, Jordan, and Solomon Islands on MSD projects that saw thousands of people increase their resilience, incomes, and find jobs. But, despite these and other positive development outcomes, the nagging feeling in my gut grew stronger, and the question - am I promoting an economic model that is inherently unsustainable and inequitable? - grew louder. I am now seeing that the answer has been screaming in my face for years, starting with the 2008 global financial crisis, the Panama and Paradise papers, global warming, the plastic waste dilemma, species extinction, continuing violence around the world; the list goes on and on. While our global economic system, largely of neoliberal capitalist timbre, has helped, and continues to help millions to rise up out of economic poverty, we have bet on the future and negated the costs of negative externalities that are now coming to the fore. This is especially evident in our current environmental crisis, the resulting climate change-promoted natural disasters costing millions in dollars and lives, and record-breaking levels of “economically developed” illnesses such as cancer and depression. While disheartening statistics, such as the one from the 2019 Oxfam Report showing that the "26 richest people on earth in 2018 had the same net worth as the poorest half of the world’s population, some 3.8 billion people” could be justified by the fact that a rising tide lifts all boats, more troubling is that the report also claims that 2,200 billionaires worldwide saw their wealth grow by 12 percent, even as the poorest half saw its wealth fall by 11 percent. Yes, statistics can be cooked, framed, and re-framed, and used for an agenda, and not all development is regressive. The book Factfullness, by Anna Rosling Rönnlund, Hans Rosling, and Ola Rosling, actually shows that, in terms of the United Nations Millennium Development Goals, some real progress has been achieved, especially in the areas of health and education. But I again ask, at what cost? One doesn’t need to be a genius to understand the basic mechanism that an increasing global population with increased wealth, largely coming from the regions of our work, require more food, demand more meat, and with improved purchasing power will want to take part in the race to own all the latest gadgets. Agriculture is shown to be one of the biggest, if not biggest, contributor to climate change. So how is this going to work? This paradox is what has scientists screaming; activists screaming; youth screaming; spiritual leaders screaming (see the encyclical "Laudato Si" - “On Care for our Common Home” - from Pope Francis addressing environmental challenges, economic systems, and the question of social justice); while we, MSD practitioners, enthusiastically labor to perfect the MSD approach, fail to look up from the microscope to see the larger reality that with good intentions and some good results we are promoting an economic system that is failing humanity, failing to contribute to the common good of all. The “common good”, rather than just wealth, is, in fact, what the economy is supposed to produce. As Claus Dierksmeier, director of the Weltethos-Institut (Global Ethics Project Institute), points out, this idea has been a historical consensus of the greatest political and philosophical minds (Reframing Economic Ethics. The Philosophical Foundations of Humanistic Management, Palgrave Macmillan, 2016, p. 35). It is also the principle and fuel of various new movements underway, including the Institute for New Economic Thinking, the New Economy Coalition, the New Economic Foundation, and one by my fellow Austrians, Christian Felber, the “Economy for the Common Good Movement”. Felber echoes Dierksmeier as he shows us that virtually all constitutions over the world posit that the economy must be a means to an end, and not the other way around (see Colombian constitution’s article 333, US Constitution’s Preamble, and Bavarian constitution’s article 157). So what does this principle, of the “economic for the common good" mean for us, MSD practitioners? What is our stance? What is our role, if any? Are we satisfied knowing that our work improves the lives of many now, while contributing to future negative impacts for the entire planet? |
AuthorsThe MSDHub Blog Series is authored by respected implementers and donors of market systems projects globally. 
Core Contributor Mike Field
Archives
May 2020
Categories
All
Highlights |
||||
RSS Feed
