Publication:
Climate Shocks and Their Effects on Food Security, Prices, and Agricultural Wages in Afghanistan

Loading...
Thumbnail Image
Files in English
English PDF (1.62 MB)
451 downloads
English Text (136.84 KB)
10 downloads
Date
2024-12-17
ISSN
Published
2024-12-17
Editor(s)
Abstract
This study examines the effects of climate and weather shocks on Afghanistan's agricultural economy, with an emphasis on food security, prices, and wages. By utilizing a dynamical model and a unique data set that includes monthly global and local food prices, agricultural wages, unofficial exchange rates, and local climate data, the research provides econometric estimates of the impacts of droughts and floods. The findings reveal that both flooding and drought significantly increase food insecurity, directly and indirectly. Directly, these climatic shocks are linked to heightened risks of food insecurity in the following months, even when controlling for price and wage fluctuations. Indirectly, droughts and floods drive up food prices and depress agricultural wages, further exacerbating food insecurity. The study suggests that enhancing climate resilience in the agriculture sector could mitigate these risks, stabilize local food prices and wages, and strengthen food security and the broader agricultural economy. The results also show that price data effectively capture food security shocks from various non-economic sources, and can serve as a versatile monitoring tool in situations where detailed data on food security are unavailable.
Link to Data Set
Citation
Gbadegesin, Tosin; Andrée, Bo Pieter Johannes; Braimoh, Ademola. 2024. Climate Shocks and Their Effects on Food Security, Prices, and Agricultural Wages in Afghanistan. Policy Research Working Paper; 10999. © World Bank. http://hdl.handle.net/10986/42552 License: CC BY 3.0 IGO.
Associated URLs
Report Series
Report Series
Other publications in this report series
  • Publication
    Geopolitics and the World Trading System
    (Washington, DC: World Bank, 2024-12-23) Mattoo, Aaditya; Ruta, Michele; Staiger, Robert W.
    Until the beginning of this century, the GATT/WTO system worked. Economic research provided a compelling explanation. It showed that if governments maximize the well-being of their own countries broadly defined, GATT/WTO principles would facilitate mutually beneficial cooperation over their trade policy choices. Now heightened geopolitical rivalry seems to have undermined the WTO. A simple transposition of the previous rationalization suggests that geopolitics and trade cooperation are not compatible. The paper shows that this is only true if rivalry eclipses any consideration of own-country well-being. In all other circumstances, there are gains from trade cooperation even with geopolitics. Furthermore, the WTO’s relevance is in question only if it adheres too rigidly to its existing rules and norms. Through measured adaptation to the geopolitical imperative, the WTO can continue to thrive as a forum for multilateral trade cooperation in the age of geopolitics.
  • Publication
    Chinese Imports and Industrialization in Africa
    (Washington, DC: World Bank, 2025-05-12) Mavungu, Marina Ngoma
    The rise of China in the global economy has been linked with negative impacts on employment across many high- and middle-income countries. However, evidence for African countries is limited. This paper investigates the causal relationship between Chinese imports and manufacturing employment in Ethiopia. Imports may harm domestic firms through a revenue effect (lower market shares) or benefit them, indirectly if competition spurs innovation or directly through access to better quality or cheaper inputs. The analysis shows that a one unit increase in import penetration leads to a 15.2 percent increase in industry employment. The inputs effect is disentangled from the other two effects by decomposing total Chinese imports by their end-use category using input-output tables. The evidence shows that imported intermediate inputs are driving the employment gains. The findings are consistent with the idea that employment gains are a result of productivity gains and increases in capacity utilization. These employment gains appear to benefit large firms and labor-intensive industries disproportionately.
  • Publication
    VAT Exemptions, Embedded Tax, and Unintended Consequences
    (Washington, DC: World Bank, 2025-05-15) Chandler, William; Thomas, Alastair; Tremblay, Frederic
    The value-added tax (VAT) has proved to be a highly effective tool at raising revenue in developed and developing countries alike. However, the effective operation of the VAT breaks down in the presence of exemptions. Unlike zero rates, exemptions deny input tax credits, thereby increasing production costs and resulting in VAT being embedded within the prices of goods and services. This paper develops a VAT model based on input-output table and household budget survey data for 29 European countries to examine the effects of VAT exemptions on final prices and to assess the merits of their use. Simulation results show that exemptions suffer from the same targeting problems as reduced VAT rates, but, in addition, they are non-transparent and have unpredictable and counterproductive indirect effects. These effects are in addition to the well-known distortionary impact of exemptions on production decisions, and their creation of incentives to self-supply. The paper concludes that the use of exemptions should be limited to addressing pragmatic concerns, such as the disproportionate compliance costs of small businesses and the practical difficulty in taxing margin-based financial services.
  • Publication
    Disentangling the Key Economic Channels through Which Infrastructure Affects Jobs
    (Washington, DC: World Bank, 2025-04-03) Vagliasindi, Maria; Gorgulu, Nisan
    This paper takes stock of the literature on infrastructure and jobs published since the early 2000s, using a conceptual framework to identify the key channels through which different types of infrastructure impact jobs. Where relevant, it highlights the different approaches and findings in the cases of energy, digital, and transport infrastructure. Overall, the literature review provides strong evidence of infrastructure’s positive impact on employment, particularly for women. In the case of electricity, this impact arises from freeing time that would otherwise be spent on household tasks. Similarly, digital infrastructure, particularly mobile phone coverage, has demonstrated positive labor market effects, often driven by private sector investments rather than large public expenditures, which are typically required for other large-scale infrastructure projects. The evidence on structural transformation is also positive, with some notable exceptions, such as studies that find no significant impact on structural transformation in rural India in the cases of electricity and roads. Even with better market connections, remote areas may continue to lack economic opportunities, due to the absence of agglomeration economies and complementary inputs such as human capital. Accordingly, reducing transport costs alone may not be sufficient to drive economic transformation in rural areas. The spatial dimension of transformation is particularly relevant for transport, both internationally—by enhancing trade integration—and within countries, where economic development tends to drive firms and jobs toward urban centers, benefitting from economies scale and network effects. Turning to organizational transformation, evidence on skill bias in developing countries is more mixed than in developed countries and may vary considerably by context. Further research, especially on the possible reasons explaining the differences between developed and developing economies, is needed.
  • Publication
    Economic Consequences of Trade and Global Value Chain Integration
    (World Bank, Washington, DC, 2025-04-04) Borin, Alessandro; Mancini, Michele; Taglioni, Daria
    This paper introduces a new approach to measuring Global Value Chains (GVC), crucial for informed policy-making. It features a tripartite classification (backward, forward, and two-sided) covering trade and production data. The findings indicate that traditional trade-based GVC metrics significantly underestimate global GVC activity, especially in sectors like services and upstream manufacturing, and overstate risks in early trade liberalization stages. Additionally, conventional backward-forward classifications over-estimate backward linkages. The paper further applies these measures empirically to assess how GVC participation mediates the impact of demand shocks on domestic output, highlighting both the exposure and stabilizing potential of GVC integration. These new measures are comprehensively available on the World Bank’s WITS Platform, providing a key resource for GVC analysis.
Journal
Journal Volume
Journal Issue

Related items

Showing items related by metadata.

  • Publication
    Machine Learning Imputation of High Frequency Price Surveys in Papua New Guinea
    (World Bank, Washington, DC, 2023-09-28) Andrée, Bo Pieter Johannes; Pape, Utz Johann; Andree, Bo, Pieter Johannes
    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.
  • Publication
    Estimating Food Price Inflation from Partial Surveys
    (World Bank, Washington, DC, 2021-12) Andree, Bo Pieter Johannes; Andree, Bo, Pieter Johannes
    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.
  • Publication
    Stochastic Modeling of Food Insecurity
    (World Bank, Washington, DC, 2020-09) Wang, Dieter; Andree, Bo Pieter Johannes; Chamorro, Andres Fernando; Girouard Spencer, Phoebe; Andree, Bo, Pieter Johannes
    Recent advances in food insecurity classification have made analytical approaches to predict and inform response to food crises possible. This paper develops a predictive, statistical framework to identify drivers of food insecurity risk with simulation capabilities for scenario analyses, risk assessment and forecasting purposes. It utilizes a panel vector-autoregression to model food insecurity distributions of 15 Sub-Saharan African countries between October 2009 and February 2019. Statistical variable selection methods are employed to identify the most important agronomic, weather, conflict and economic variables. The paper finds that food insecurity dynamics are asymmetric and past-dependent, with low insecurity states more likely to transition to high insecurity states than vice versa. Conflict variables are more relevant for dynamics in highly critical stages, while agronomic and weather variables are more important for less critical states. Food prices are predictive for all cases. A Bayesian extension is introduced to incorporate expert opinions through the use of priors, which lead to significant improvements in model performance.
  • Publication
    Altered Destinies: The Long-Term Effects of Rising Prices and Food Insecurity in the Middle East and North Africa
    (Washington, DC : World Bank, 2023-04-06) Gatti, Roberta; Lederman, Daniel; Islam, Asif M.; Andree, Bo, Pieter Johannes; Lotfi, Rana; Mousa, Mennatallah Emam; Bennett, Federico; Assem, Hoda
    Growth is forecasted to slow down for the Middle East and North Africa region. The war in Ukraine in 2022 exacerbated inflationary pressures as the world recovered from the COVID 19 pandemic induced recession. The response by central banks to raise rates to curb inflation is slowing economic activity, while rising food prices are making it difficult for families to put meals on the table. Inflation, when it stems from food prices, hits the poor harder than the rich, thus compounding food insecurity in MENA that had been rising over decades. The immediate effects of food insecurity can be a devastating loss of life, but even temporary increases in food prices can cause long-term irreversible damages, especially to children. The rise in food prices due to the war in Ukraine may have altered the destinies of hundreds of thousands of children in the region, setting them on paths to limited prosperity. Food insecurity imposes challenges to a region where the state of child nutrition and health were inadequate before the shocks from the COVID-19 pandemic. The report discusses policy options and highlights the need for data to guide effective decision making.
  • Publication
    Machine Learning Guided Outlook of Global Food Insecurity Consistent with Macroeconomic Forecasts
    (World Bank, Washington, DC, 2022-10) Andree, Bo Pieter Johannes; Andree, Bo, Pieter Johannes
    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.

Users also downloaded

Showing related downloaded files

  • Publication
    Economy Profile of Denmark
    (World Bank, Washington, DC, 2017-11-01) World Bank Group
    Doing Business 2018 is the 15th in a series of annual reports investigating the regulations that enhance business activity and those that constrain it. This economy profile presents the Doing Business indicators for Denmark. Doing Business presents quantitative indicators on business regulation and the protection of property rights that can be compared across 190 economies; for 2018 Denmark ranks 3. Doing Business measures aspects of regulation affecting 11 areas of the life of a business. Ten of these areas are included in this year’s ranking on the ease of doing business: starting a business, dealing with construction permits, getting electricity, registering property, getting credit, protecting minority investors, paying taxes, trading across borders, enforcing contracts and resolving insolvency. Doing Business also measures features of labor market regulation, which is not included in this year’s ranking. Data in Doing Business 2018 are current as of June 1, 2017. The indicators are used to analyze economic outcomes and identify what reforms of business regulation have worked, where and why.
  • Publication
    What a Waste 2.0
    (Washington, DC: World Bank, 2018-09-20) Kaza, Silpa; Yao, Lisa C.; Bhada-Tata, Perinaz; Van Woerden, Frank; Ionkova, Kremena; Morton, John; Poveda, Renan Alberto; Sarraf, Maria; Malkawi, Fuad; Harinath, A.S.; Banna, Farouk; An, Gyongshim; Imoto, Haruka; Levine, Daniel
    By 2050, the world is expected to generate 3.40 billion tons of waste annually, increasing drastically from today’s 2.01 billion tons. What a Waste 2.0: A Global Snapshot of Solid Waste Management to 2050 aggregates extensive solid waste data at the national and urban levels. It estimates and projects waste generation to 2030 and 2050. Beyond the core data metrics from waste generation to disposal, the report provides information on waste management costs, revenues, and tariffs; special wastes; regulations; public communication; administrative and operational models; and the informal sector.
  • Publication
    Digital Progress and Trends Report 2023
    (Washington, DC: World Bank, 2024-03-05) World Bank
    Digitalization is the transformational opportunity of our time. The digital sector has become a powerhouse of innovation, economic growth, and job creation. Value added in the IT services sector grew at 8 percent annually during 2000–22, nearly twice as fast as the global economy. Employment growth in IT services reached 7 percent annually, six times higher than total employment growth. The diffusion and adoption of digital technologies are just as critical as their invention. Digital uptake has accelerated since the COVID-19 pandemic, with 1.5 billion new internet users added from 2018 to 2022. The share of firms investing in digital solutions around the world has more than doubled from 2020 to 2022. Low-income countries, vulnerable populations, and small firms, however, have been falling behind, while transformative digital innovations such as artificial intelligence (AI) have been accelerating in higher-income countries. Although more than 90 percent of the population in high-income countries was online in 2022, only one in four people in low-income countries used the internet, and the speed of their connection was typically only a small fraction of that in wealthier countries. As businesses in technologically advanced countries integrate generative AI into their products and services, less than half of the businesses in many low- and middle-income countries have an internet connection. The growing digital divide is exacerbating the poverty and productivity gaps between richer and poorer economies. The Digital Progress and Trends Report series will track global digitalization progress and highlight policy trends, debates, and implications for low- and middle-income countries. The series adds to the global efforts to study the progress and trends of digitalization in two main ways: · By compiling, curating, and analyzing data from diverse sources to present a comprehensive picture of digitalization in low- and middle-income countries, including in-depth analyses on understudied topics. · By developing insights on policy opportunities, challenges, and debates and reflecting the perspectives of various stakeholders and the World Bank’s operational experiences. This report, the first in the series, aims to inform evidence-based policy making and motivate action among internal and external audiences and stakeholders. The report will bring global attention to high-performing countries that have valuable experience to share as well as to areas where efforts will need to be redoubled.
  • Publication
    World Development Report 2018
    (Washington, DC: World Bank, 2018) World Bank
    Every year, the World Bank's World Development Report takes on a topic of central importance to global development. The 2018 Report, Learning to Realize Education's Promise, is the first ever devoted entirely to education. Now is an excellent time for it: education has long been critical for human welfare, but is even more so in a time of rapid economic change. The Report explores four main themes. First, education's promise: Education is a powerful instrument for eradicating poverty and promoting shared prosperity, but fulfilling its potential requires better policies - both within and outside the education system. Second, the learning crisis: Despite gains in education access, recent learning assessments show that many young people around the world, especially from poor families, are leaving school unequipped with even the most foundational skills they need for life. At the same time, internationally comparable learning assessments show that skills in many middle-income countries lag far behind what those countries aspire to. Third, promising interventions to improve learning: Research from areas such as brain science, pedagogical innovations, or school management have identified interventions that promote learning by ensuring that learners are prepared, that teachers are skilled as well as motivated, and that other inputs support the teacher-learner relationship. Fourth, learning at scale: Achieving learning throughout an education system will require more than just scaling up effective interventions. Change requires overcoming technical and political barriers by deploying salient metrics for mobilizing actors and tracking progress, building coalitions for learning, and being adaptive when implementing programs.
  • Publication
    Mozambique
    (World Bank, Washington, DC, 2017-08-04) Marquez, Patricio V.; Krasovsky, Konstantin; Andreeva, Tatiana
    Mozambique ratified the WHO Framework Convention on Tobacco Control only in 2017, but some tobacco control policies were already implemented in the country before that. The prevalence of current tobacco use in 2003 was about 40 percent in men and 18 percent in women, while women consumed predominantly smokeless tobacco. Between 2003 and 2011, the level of tobacco use among women decreased: the prevalence of smoking remained at the same level, but the use of other tobacco products substantially declined. However, among men, the prevalence of current cigarette smoking increased. The volumes of annual cigarette sales increased from about 2.5 billion cigarettes in 2006-2010 to about 3.7 billion cigarettes in 2012-2013 and then declined in 2014-2016. Since 2010, the tiered specific excises for cigarettes and mixed (ad valorem and specific) excises for other tobacco have been in place. In 2013, 2014, and 2015, the excise rates were increased. In 2013-2016 combined, tobacco prices in Mozambique increased by 85 percent in nominal terms, or by 27 percent in inflation-adjusted terms. Over those years, inflation-adjusted GDP per capita increased by 14, and so, cigarettes became less affordable. In 2013-2015, the increase in tobacco excise became one of the factors of the price increase, which reduced tobacco affordability and probably reduced tobacco consumption and sales in the country. Tobacco excise revenue increased from 3.2 billion MZN in 2012 to 3.75 billion MZN in 2015. However, all neighboring countries have cigarette prices and taxes much higher than Mozambique. In such a situation, cigarette smuggling out of Mozambique is rather common, while cigarette smuggling into Mozambique is very unlikely. Even in the report commissioned by the tobacco industry, percentage of contraband cigarettes at the Mozambican market was estimated to be only 1-2 percent of total consumption. The following recommendations could provide both public health and fiscal benefits for Mozambique: As the first step, cigarette specific excise rates should be unified for all kinds of cigarettes at the level currently used for hard-pack cigarettes. Then, the unified rate should be annually increased to make tobacco products less affordable over time in order to reduce consumption and prevalence in line with FCTC provisions. The issue of cigarette smuggling should not be used in hindering the implementation of tax and price policies. Increase of cigarette taxes and prices in Mozambique would reduce cigarette smuggling out of the country, and it would reduce tobacco consumption in the neighboring countries. Tobacco control monitoring, including economic information on tobacco products sales, prices, and other indicators, should be much improved in the country to support more precise forecasts of the outcomes of the current and future tobacco control activities.