This Working Paper takes comprehensive stock of the impacts of the first two waves of COVID-19 (in Q2 and Q4 2020) on the microfinance sector in Myanmar. We discuss potential impact pathways, review policy responses to the crisis, and present new quantitative analysis based on a set of surveys with respondents throughout the agricultural value chain. Additionally, we briefly review impacts since the military takeover on February 1, 2021. Overall, various disruptions to the microfinance sector, particularly during peak periods of COVID-19, significantly reduced overall lending from April 2020, onward. These disruptions, along with disruptions to external financing, led to greater informal borrowing, likely greater indebtedness, and lower food security. However, policy responses and financing accommodations to microfinance institutions (MFIs) in Q2 and Q3 2020 cushioned the sector against widespread insolvency. The events since the military takeover are creating new challenges, exacerbating the aforementioned impacts, and raising new risks of MFI insolvency and broader crises around food security, indebtedness, and poverty. Considering these findings, stakeholder recommendations underscore the importance of easing the movement of international and domestic goods. Efforts should be focused on meeting the MFIs’ need for loanable funds through mechanisms such as exchange rate hedging, credit guarantees, and loan enhancement, while continuing to encourage flexibility around existing financing. When the time comes for a full recovery, there should be a focus on facilitating additional financial injections so that MFIs can more effectively restart lending operations.

We analyze rice input and productivity data for the monsoon seasons of 2020 and 2021 from the Myanmar Agriculture Performance Survey (MAPS). The survey covers plots of 2,672 rice producers, spread over 259 townships in all states/regions of the country. We find that: 1. Rice productivity at the national level during the monsoon of 2021 decreased on average by 2.1 percent compared to the monsoon of 2020. Considering estimated area reductions, national paddy production decreased by 3.4 percent compared to the monsoon of 2020. 2. Some areas performed substantially worse. Rice yields were low and declined significantly in Kayah and Chin, two conflict-affected states that have shown the highest levels of food insecurity in recent assessments. 3. Prices for most inputs used in rice cultivation increased significantly between these two seasons. Prices of urea, the most important chemical fertilizer used by rice farmers, increased by 56 percent on average and mechanization costs increased by 19 percent. 4. Paddy prices at the farm increased by 8 percent, significantly less than input prices, squeezing rice farmers’ profits during the monsoon of 2021. Despite the substantial hurdles in production and marketing due to the political crisis and international market developments, the results of the Myanmar Agricultural Performance Survey show the overall resilience of rice production during the monsoon of 2021. While the rice sector has been a source of stability in the country, the situation for future crop seasons is however concerning given further increases in input prices (especially fertilizer), the overall reduced profitability of rice farming, the reduced coping strategies remaining for rice farmers, and currency policy changes by the military government.

This book deals with the challenges of macro financial linkages in the emerging markets.

In 2011 the World Bank—with funding from the Bill and Melinda Gates Foundation—launched the Global Findex database, the world's most comprehensive data set on how adults save, borrow, make payments, and manage risk. Drawing on survey data collected in collaboration with Gallup, Inc., the Global Findex database covers more than 140 economies around the world. The initial survey round was followed by a second one in 2014 and by a third in 2017. Compiled using nationally representative surveys of more than 150,000 adults age 15 and above in over 140 economies, The Global Findex Database 2017: Measuring Financial Inclusion and the Fintech Revolution includes updated indicators on access to and use of formal and informal financial services. It has additional data on the use of financial technology (or fintech), including the use of mobile phones and the Internet to conduct financial transactions. The data reveal opportunities to expand access to financial services among people who do not have an account—the unbanked—as well as to promote greater use of digital financial services among those who do have an account. The Global Findex database has become a mainstay of global efforts to promote financial inclusion. In addition to being widely cited by scholars and development practitioners, Global Findex data are used to track progress toward the World Bank goal of Universal Financial Access by 2020 and the United Nations Sustainable Development Goals. The database, the full text of the report, and the underlying country-level data for all figures—along with the questionnaire, the survey methodology, and other relevant materials—are available at www.worldbank.org/globalfindex.

A large percentage of workers and firms operate in the informal economy, outside the line of sight of governments in emerging market and developing economies. This may hold back the recovery in these economies from the deep recessions caused by the COVID-19 pandemic--unless governments adopt a broad set of policies to address the challenges of widespread informality. This study is the first comprehensive analysis of the extent of informality and its implications for a durable economic recovery and for long-term development. It finds that pervasive informality is associated with significantly weaker economic outcomes--including lower government resources to combat recessions, lower per capita incomes, greater poverty, less financial development, and weaker investment and productivity.

Understanding how the Papua New Guinea (PNG) agricultural economy and associated household consumption is affected by climate, market and other shocks requires attention to linkages and substitution effects across various products and the markets in which they are traded. In this study, we use a multi-market simulation model of the PNG food economy that explicitly includes production, consumption, external trade and prices of key agricultural commodities to quantify the likely impacts of a set of potential shocks on household welfare and food security in PNG. In this study, we use a multi-market simulation model of the PNG food economy that explicitly includes production, consumption, external trade and prices of key agricultural commodities to quantify the likely impacts of a set of potential shocks on household welfare and food security in PNG. We have built the model to be flexible in order to explore different potential scenarios and then identify where and how households are most affected by an unexpected shock. The model is designed using region and country-level data sources that inform the structure of the PNG food economy, allowing for a data-driven evaluation of potential impacts on agricultural production, food prices, and food consumption. Thus, as PNG confronts different unexpected challenges within its agricultural economy, the model presented in this paper can be adapted to evaluate the potential impact and necessary response by geographic region of an unexpected economic shock on the food economy of the country. We present ten simulations modeling the effects of various shocks on PNG’s economy. The first group of scenarios consider the effects of shocks to production of specific agricultural commodities including: 1) a decrease on maize and sorghum output due to Fall Armyworm; 2) reduction in pig production due to a potential outbreak of African Swine Fever; 3) decline in sweet potato production similar to the 2015/16 El Niño Southern Oscillation (ENSO) climate shock; and 4) a decline in poultry production due to COVID-19 restrictions on domestic mobility and trade. A synopsis of this report, which focuses on the COVID-19 related shocks on the PNG economy is also available online (Diao et al., 2020).1 The second group of simulations focus on COVID-19-related changes in international prices, increased marketing costs in international and domestic trade, and reductions in urban incomes. We simulate a 1) 30 percent increase in the price of imported rice, 2) a 30 percent decrease in world prices for major PNG agricultural exports, 3) higher trade transaction costs due to restrictions on the movement of people (traders) and goods given social distancing measures of COVID-19, and 4) potential economic recession causing urban household income to fall by 10 percent. Finally, the last simulation considers the combined effect of all COVID-19 related shocks combining the above scenarios into a single simulation. A key result of the analysis is that urban households, especially the urban poor, are particularly vulnerable to shocks related to the Covid-19 pandemic. Lower economic activity in urban areas (assumed to reduce urban non-agricultural incomes by 10 percent), increases in marketing costs due to domestic trade disruptions, and 30 percent higher imported rice prices combine to lower urban incomes by almost 15 percent for both poor and non-poor urban households. Urban poor households, however, suffer the largest drop in calorie consumption - 19.8 percent, compared to a 15.8 percent decline for urban non-poor households. Rural households are much less affected by the Covid-19 related shocks modeled in these simulations. Rural household incomes, affected mainly by reduced urban demand and market disruptions, fall by only about four percent. Nonetheless, calorie consumption for the rural poor and non-poor falls by 5.5 and 4.2 percent, respectively.

Technology is changing the landscape of the financial sector, increasing access to financial services in profound ways. These changes have been in motion for several years, affecting nearly all countries in the world. During the COVID-19 pandemic, technology has created new opportunities for digital financial services to accelerate and enhance financial inclusion, amid social distancing and containment measures. At the same time, the risks emerging prior to COVID-19, as digital financial services developed, are becoming even more relevant.