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  • International Finance Corporation  (6)
  • Andree, Bo Pieter Johannes  (3)
  • Washington, D.C : The World Bank  (9)
  • Agriculture  (9)
  • 1
    Language: English
    Pages: 1 Online-Ressource (36 pages)
    Parallel Title: Erscheint auch als Andree, Bo Pieter Johannes Machine Learning Imputation of High Frequency Price Surveys in Papua New Guinea
    Keywords: Agriculture ; Agriculture and Food Security ; Economic Shocks ; Economic Theory and Research ; Food Prices ; Inflation ; Machine Learning Advances ; Macroeconomic Monitoring ; Macroeconomics and Economic Growth ; Poverty Monitoring and Analysis ; Poverty Reduction
    Abstract: Capabilities to track fast-moving economic developments re-main limited in many regions of the developing world. This complicates prioritizing policies aimed at supporting vulnerable populations. To gain insight into the evolution of fluid events in a data scarce context, this paper explores the ability of recent machine-learning advances to produce continuous data in near-real-time by imputing multiple entries in ongoing surveys. The paper attempts to track inflation in fresh produce prices at the local market level in Papua New Guinea, relying only on incomplete and intermittent survey data. This application is made challenging by high intra-month price volatility, low cross-market price correlations, and weak price trends. The modeling approach uses chained equations to produce an ensemble prediction for multiple price quotes simultaneously. The paper runs cross-validation of the prediction strategy under different designs in terms of markets, foods, and time periods covered. The results show that when the survey is well-designed, imputations can achieve accuracy that is attractive when compared to costly-and logistically often infeasible-direct measurement. The methods have wider applicability and could help to fill crucial data gaps in data scarce regions such as the Pacific Islands, especially in conjunction with specifically designed continuous surveys
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  • 2
    Language: English
    Pages: 1 Online-Ressource (526 pages)
    Parallel Title: Erscheint auch als
    Keywords: Agribusiness ; Agricultural Finance ; Agriculture ; Climate-Smart Agriculture ; Farmer Cooperatives ; Farmer Cooperatives Training ; Gender and Agriculture ; ICT4Ag ; Smallholder Agriculture ; Smallholder Farmers ; Smallholder Supply Chains ; Smallholders
    Abstract: Smallholder farmers are the stewards of more than 80 percent of the world's farms. These small family businesses produce about one-third of the world's food. In Africa and Asia, smallholders dominate the production of food crops, as well as export commodities such as cocoa, coffee, and cotton. However, smallholders and farm workers remain among the poorest segments of the population, and they are on the frontline of climate change. Smallholder farmers face constraints in accessing inputs, finance, knowledge, technology, labor, and markets. Raising farm-level productivity in a sustainable way is a key development priority. Agribusinesses are increasingly working with smallholder farmers in low- and middle-income countries to secure agricultural commodities. More productive smallholders boost rural incomes and economic growth, as well as reduce poverty. Smallholders also represent a growing underserved market for farm inputs, information, and financial services. Working with Smallholders: A Handbook for Firms Building Sustainable Supply Chains (third edition) shows agribusinesses how to engage more effectively with smallholders and to develop sustainable, resilient, and productive supply chains. The book compiles practical solutions and cutting-edge ideas to overcome the challenges facing smallholders. This third edition is substantially revised from the second edition and incorporates new material on the potential for digital technologies and sustainable farming. This handbook is written principally to outline opportunities for the private sector. The content may also be useful to the staffs of governmental or nongovernmental development programs working with smallholders, as well as to academic and research institutions
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  • 3
    Language: English
    Pages: 1 Online-Ressource
    Series Statement: Private Sector Development, Privatization, and Industrial Policy
    Keywords: Agribusiness ; Agriculture ; Energy ; Finance and Financial Sector Development ; Housing Finance ; Private Investment ; Private Sector ; Private Sector Development ; Private Sector Economics ; Renewable Energy
    Abstract: Since achieving independence in 1990, Namibia's remarkable growth has been fueled by foreign direct investment and enabled by prudent economic management. Since 2016, however, growth has declined steadily and the economy fell into recession, exposing the vulnerability of Namibia's economic growth model to external and climate shocks. These challenges were exacerbated by the Coronavirus (COVID-19) pandemic, an economic slowdown in neighboring South Africa, worsening terms of trade on the back of declining global demand and commodity prices, a decline in Southern African Customs Union (SACU) revenues, and the effects of crippling droughts on agricultural and industrial production. Namibia has very high levels of poverty and inequality, which are largely driven by high levels of unemployment. The primary objective of this Country Private Sector Diagnostic (CPSD) is to identify near and medium-term reform opportunities to revitalize the private sector and help reposition Namibia's growth on a green, resilient, and inclusive trajectory. This CPSD explores priority reform opportunities to address five cross-cutting bottlenecks: (1) enhancing the role and performance of the state-owned enterprise (SOE) sector through a more effective competition policy environment; (2) strengthening implementation of the public-private partnership (PPP) framework to expand private investments, especially in infrastructure; (3) leveraging the potential for digital transformation of the economy; (4) addressing inefficiencies in logistics and trade facilitation; and (5) tapping opportunities in the water sector for green and resilient growth. The diagnostic then looks in depth at three sectors prioritized by the Namibian government - renewable energy, climate-smart agribusiness, and housing, and provides recommendations for reducing sector-specific bottlenecks to stimulate growth potential
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  • 4
    Language: English
    Pages: 1 Online-Ressource
    Series Statement: Private Sector Development, Privatization, and Industrial Policy
    Keywords: Access To Finance ; Agribusiness ; Agriculture ; Business Environment ; COVID-19 ; Emerging Markets ; Energy Sector ; Livestock ; Private Sector ; Private Sector Development ; Private Sector Economics ; Special Economic Zones
    Abstract: Until the onset of the coronavirus disease 2019 (SARS-CoV2) COVID-19 pandemic and despite the deteriorating security situation, Mali's economic growth averaged five percent since 2014, on par with its long-term potential. Mali's fragile state status has also taken a toll on economic activity and social welfare by reducing access to markets, threatening food security, and degrading human capital indicators. With an increasing debt burden resulting in limited fiscal space to address persistent security risks and to combat the COVID-19 pandemic, the government of Mali is compelled to refocus the role of the state and unleash the potential of the private sector to boost productivity growth, to diversify the economy away from a narrow base, and to ensure inclusive economic and social welfare for all Malians. The growth model will be readdressed around energizing investment, creating resilient markets, and building back better for a more resilient recovery via (a) improving the business environment; (b) crowding-in private participation in the delivery of infrastructure and certain public services; (c) ensuring that remaining state-owned enterprises and private firms compete on equal terms - that is, upholding competitive neutrality principles; (d) expanding public-private partnerships in key sectors, through transparent and competitive procurement; and (e) leveraging digital solutions by further enhancing digital infrastructure that would, in turn, increase the uptake of digital financial services and digital platforms for key sectors of the economy, such as agriculture, and digitize government services (e-government)
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  • 5
    Language: English
    Pages: 1 Online-Ressource (44 pages)
    Parallel Title: Erscheint auch als Andree, Bo Pieter Johannes Machine Learning Guided Outlook of Global Food Insecurity Consistent with Macroeconomic Forecasts
    Keywords: Agriculture ; Economic Shocks ; Food and Nutrition Policy ; Food Crises ; Food Insecurity ; Food Security ; Food Security Policy ; Health, Nutrition and Population ; Humanitarian Needs ; Machine Learning ; Macro-Economic Projection ; Pre-Pandemic Food Security ; Social Development ; Vulnerability
    Abstract: Motivated by the deterioration in global food security conditions, this paper develops a parsimonious machine learning model to derive a multi-year outlook of global severe food insecurity from macro-economic projections. The objective is to provide forecasts that are internally consistent with wider economic assessments, allowing both food security policies and economic development policies to be informed by a cohesive set of expectations. The model is validated on holdout data that explicitly test the ability to forecast new data from history and extrapolate beyond observed intervals. It is then applied to the World Economic Outlook database of April 2022 to project the severely food insecure population across all 144 World Bank lending countries. The analysis estimates that the global severely food insecure population may remain above 1 billion through 2027 unless large-scale interventions are made. The paper also explores counterfactual scenarios, first to investigate additional risks in a downside economic scenario, and second, to investigate whether restoring macroeconomic targets is sufficient to revert food insecurity back to pre-pandemic levels. The paper concludes that the proposed model provides a robust and low-cost approach to maintain reliable long-term projections and produce scenario analyses that can be revised systematically and interpreted within the context of available economic outlooks
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  • 6
    Language: English
    Pages: 1 Online-Ressource
    Series Statement: Private Sector Development, Privatization, and Industrial Policy
    Keywords: Agribusiness ; Agricultural Sector Economics ; Agriculture ; Covid-19 ; General Manufacturing ; Industry ; Information and Communication Technologies ; Information Technology ; Private Sector Development ; Private Sector Economics
    Abstract: Sri Lanka is a country of paradoxes. With the lowest poverty rates, best social indicators, and highest per capita income in South Asia, Sri Lanka's economic performance since independence had generally been hailed as a success before the current debt crisis. However, past performance occurred amidst many distortions and an economy less open than its peers, largely reflecting the strong involvement of the state in the economy. Even if this interventionist model of economic policy and the presence of many state-owned enterprises (SOEs) served the country well through the years of conflict and their aftermath, it is no longer sustainable. Indeed, after the rapid growth of the peace dividend in the years post-2009, the economy has faltered and progress on social indicators has stagnated. Many of market distortions remain and have been exacerbated by COVID-19. Understanding how, despite these handicaps, Sri Lanka achieved positive economic and social outcomes in the past provides the building blocks of a realistic, forward-looking growth strategy, one of the objectives of this Country Private Sector Diagnostic (CPSD). The research for this report was conducted prior to the current crisis, but the recommendations remain relevant to implementing public policies that will support private sector-led inclusive and sustainable growth
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  • 7
    Online Resource
    Online Resource
    Washington, D.C : The World Bank
    Language: English
    Pages: 1 Online-Ressource
    Series Statement: Other Agricultural Study
    Keywords: Access To Finance ; Agricultural Irrigation and Drainage ; Agriculture ; Asset Management ; Finance and Financial Sector Development ; Financial Structures
    Abstract: The demand for more efficient use of land and water resources to enable farmers to produce food using climate-resilient processes continues to grow in the face of a growing global population and the impacts of climate change and other shocks such as Coronavirus (COVID-19). Although irrigation has been widely promoted as important for productivity and resilience, it has not been sufficiently expanded. Large, well-established irrigation projects developed by public institutions and select private sector projects play an important role in providing access to irrigation, but they are insufficient to meet need. In parallel, farmers have been developing effective small-scale irrigation (SSI) options that include a range of technologies, financing methods, and operating models. International Finance Corporation (IFC) and the International Fund for Agricultural Development (IFAD) are global organizations focused on promoting resilient agriculture and food system transformation. This handbook takes a practical approach in guiding its target readers, which comprise policy makers, governments and government agencies, private sector actors, and development institution partners, on how to deliver effective design and operation strategies, combined with financing models, to implement and sustainably expand use of irrigation
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  • 8
    Language: English
    Pages: 1 Online-Ressource
    Series Statement: Other Agricultural Study
    Keywords: Agribusiness ; Agricultural Sector Economics ; Agriculture ; Macroeconomics and Economic Growth
    Abstract: In recent years, there has been a growing interest in investments from the government, development partners and the private sector in integrated development/growth corridors and other spatial development initiatives, where coordinated investments in transport infrastructure, power, communications and markets are expected to create conditions to unleash Papua New Guinea's undoubted agricultural potential. Growth corridor strategies are increasingly invoked to coordinate public and private investment around strategic backbone infrastructure in developing countries. Investments in soft and hard infrastructure to promote investment in processing zones or out-grower schemes and facilitate multi-stakeholder dialogue aim to overcome coordination failures and bottlenecks related to market linkages or producer-relations to secure supply chains. This paper discusses the model of growth corridors as a tool for inclusive agricultural development in Papua New Guinea. It provides corridor and other spatial development approaches in terms of i) their geographical scope, ii) their objectives and iii) their governance mechanisms, the driving force behind the corridor initiative. Finally, it analyzes the potential and the needs of how the Markham and Ramu valleys can be a role model for an agricultural transformation in Papua New Guinea
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  • 9
    Online Resource
    Online Resource
    Washington, D.C : The World Bank
    Language: English
    Pages: 1 Online-Ressource (42 pages)
    Parallel Title: Erscheint auch als Andree, Bo Pieter Johannes Estimating Food Price Inflation from Partial Surveys
    Keywords: Agriculture ; Financial Stability ; Food Prices ; Food Security ; Inflation ; Machine Learning ; Macroeconomics and Economic Growth
    Abstract: The traditional consumer price index is often produced at an aggregate level, using data from few, highly urbanized, areas. As such, it poorly describes price trends in rural or poverty-stricken areas, where large populations may reside in fragile situations. Traditional price data collection also follows a deliberate sampling and measurement process that is not well suited for monitoring during crisis situations, when price stability may deteriorate rapidly. To gain real-time insights beyond what can be formally measured by traditional methods, this paper develops a machine-learning approach for imputation of ongoing subnational price surveys. The aim is to monitor inflation at the market level, relying only on incomplete and intermittent survey data. The capabilities are highlighted using World Food Programme surveys in 25 fragile and conflict-affected countries where real-time monthly food price data are not publicly available from official sources. The results are made available as a data set that covers more than 1200 markets and 43 food types. The local statistics provide a new granular view on important inflation events, including the World Food Price Crisis of 2007-08 and the surge in global inflation following the 2020 pandemic. The paper finds that imputations often achieve accuracy similar to direct measurement of prices. The estimates may provide new opportunities to investigate local price dynamics in markets where prices are sensitive to localized shocks and traditional data are not available
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