Publication: The Impact of Farm Credit in Pakistan
Loading...
Published
2001-08
ISSN
Date
2014-05-08
Author(s)
Faruqee, Rashidur R.
Editor(s)
Abstract
Both formal, and informal loans matter in agriculture. But formal lenders provide much more in production lending, than do informal lenders, often at a higher cost than what they can recover. The Agricultural Development Bank of Pakistan (ADBP), for example, providing about 90 percent of formal loans in rural areas, incurs high costs on loan defaults. Like other governments, the Government of Pakistan subsidized the formal scheme on the grounds that lending to agriculture is a high-risk activity, because of covariate risk. Because farm credit schemes are subsidized, policymakers must know if these schemes are worth supporting. Using recent data from a large household survey from rural Pakistan, the authors estimate the cost-effectiveness of the ADBP loans. To estimate credit's impact, they use a two-stage method, which takes into account the endogeneity of borrowing. Clearly, formal lenders are biased toward larger farmers with collateral. Large landowners, who tend to represent only four percent of rural households, get 42 percent of formal loans. Landless, and subsistence farmers, who represent more than 69 percent of rural households, receive only 23 percent of formal loans. ADBP loans improve household welfare but, although large farmers receive most of ADBP finance, the impact of credit is greater for small farmers than for large farmers. Large landowners use formal loans unproductively. Because the ADBP scheme is subsidized, it is not cost-effective for delivering rural credit. It would be more cost-effective is small farmers were better targeted instead.
Link to Data Set
Citation
“Faruqee, Rashidur R.; Khandker, Shahidur R.. 2001. The Impact of Farm Credit in Pakistan. Policy Research Working Paper;No. 2653. © http://hdl.handle.net/10986/18200 License: CC BY 3.0 IGO.”
Associated URLs
Associated content
Other publications in this report series
Publication The Economic Value of Weather Forecasts: A Quantitative Systematic Literature Review(Washington, DC: World Bank, 2025-09-10)This study systematically reviews the literature that quantifies the economic benefits of weather observations and forecasts in four weather-dependent economic sectors: agriculture, energy, transport, and disaster-risk management. The review covers 175 peer-reviewed journal articles and 15 policy reports. Findings show that the literature is concentrated in high-income countries and most studies use theoretical models, followed by observational and then experimental research designs. Forecast horizons studied, meteorological variables and services, and monetization techniques vary markedly by sector. Estimated benefits even within specific subsectors span several orders of magnitude and broad uncertainty ranges. An econometric meta-analysis suggests that theoretical studies and studies in richer countries tend to report significantly larger values. Barriers that hinder value realization are identified on both the provider and user sides, with inadequate relevance, weak dissemination, and limited ability to act recurring across sectors. Policy reports rely heavily on back-of-the-envelope or recursive benefit-transfer estimates, rather than on the methods and results of the peer-reviewed literature, revealing a science-to-policy gap. These findings suggest substantial socioeconomic potential of hydrometeorological services around the world, but also knowledge gaps that require more valuation studies focusing on low- and middle-income countries, addressing provider- and user-side barriers and employing rigorous empirical valuation methods to complement and validate theoretical models.Publication It’s Not (Just) the Tariffs: Rethinking Non-Tariff Measures in a Fragmented Global Economy(Washington, DC: World Bank, 2025-10-22)As tariffs have declined, non-tariff measures (NTMs) have become central to trade policy, especially in high-income countries and regulated sectors like food and green technologies. Although NTMs may serve legitimate goals, they could also sort countries and firms into or out of markets based on compliance capacity and differences in product mix. Documenting recent advances in the estimation of ad valorem equivalents (AVEs), this paper uncovers new patterns of use and exposure of NTMs. High-income countries rely more heavily on NTMs relative to tariffs, while low- and middle-income countries face steeper AVEs on their exports. Firm-level evidence shows that NTMs disproportionately affect smaller firms, leading to market exit and concentration. Poorly designed NTMs can harm productivity and welfare, while coordinated, capacity-aware use can deliver inclusive outcomes. Policy design, transparency, and diagnostics must evolve to reflect the growing role—and risks—of NTMs in a fragmented global trade landscape.Publication Monitoring Global Aid Flows: A Novel Approach Using Large Language Models(Washington, DC: World Bank, 2025-11-04)Effective monitoring of development aid is the foundation for assessing the alignment of flows with their intended development objectives. Existing reporting systems, such as the Organisation for Economic Co-operation and Development’s Creditor Reporting System, provide standardized classification of aid activities but have limitations when it comes to capturing new areas like climate change, digitalization, and other cross-cutting themes. This paper proposes a bottom-up, unsupervised machine learning framework that leverages textual descriptions of aid projects to generate highly granular activity clusters. Using the 2021 Creditor Reporting System data set of nearly 400,000 records, the model produces 841 clusters, which are then grouped into 80 subsectors. These clusters reveal 36 emerging aid areas not tracked in the current Creditor Reporting System taxonomy, allow unpacking of “multi-sectoral” and “sector not specified” classifications, and enable estimation of flows to new themes, including World Bank Global Challenge Programs, International Development Association–20 Special Themes, and Cross-Cutting Issues. Validation against both Creditor Reporting System benchmarks and International Development Association commitment data demonstrates robustness. This approach illustrates how machine learning and the new advances in large language models can enhance the monitoring of global aid flows and inform future improvements in aid classification and reporting. It offers a useful tool that can support more responsive and evidence-based decision-making, helping to better align resources with evolving development priorities.Publication The Macroeconomic Implications of Climate Change Impacts and Adaptation Options(Washington, DC: World Bank, 2025-05-29)Estimating the macroeconomic implications of climate change impacts and adaptation options is a topic of intense research. This paper presents a framework in the World Bank's macrostructural model to assess climate-related damages. This approach has been used in many Country Climate and Development Reports, a World Bank diagnostic that identifies priorities to ensure continued development in spite of climate change and climate policy objectives. The methodology captures a set of impact channels through which climate change affects the economy by (1) connecting a set of biophysical models to the macroeconomic model and (2) exploring a set of development and climate scenarios. The paper summarizes the results for five countries, highlighting the sources and magnitudes of their vulnerability --- with estimated gross domestic product losses in 2050 exceeding 10 percent of gross domestic product in some countries and scenarios, although only a small set of impact channels is included. The paper also presents estimates of the macroeconomic gains from sector-level adaptation interventions, considering their upfront costs and avoided climate impacts and finding significant net gross domestic product gains from adaptation opportunities identified in the Country Climate and Development Reports. Finally, the paper discusses the limits of current modeling approaches, and their complementarity with empirical approaches based on historical data series. The integrated modeling approach proposed in this paper can inform policymakers as they make proactive decisions on climate change adaptation and resilience.Publication The State of Global Services Trade Policies: Evidence from Recent Data(Washington, DC: World Bank, 2025-10-28)The economic environment for services trade has changed dramatically over the past 15 years, driven by rapid technological progress that has expanded the possibilities for exchanging services. How has trade policy responded to these changes? How do policy stances in a wide range of service sectors compare across economies? With its unprecedented global coverage, the Services Trade Policy Database and the associated Services Trade Restrictions Index, developed jointly by the World Bank and the World Trade Organization, help address these questions. This paper makes three principal contributions. First, it offers an in-depth discussion of the current state of services trade policies and their differences across 134 economies and 34 services subsectors. Second, the paper reveals how recent (2016–22) changes in policy stances have seen progressive liberalization by lower-income economies but stabilization or even slight policy reversals in high-income economies. This dynamic differs fundamentally from the trend that unfolded after the Great Recession over 2008–16. Third, the paper shows the implications of policy changes over the past six years on services trade costs, and it showcases how the Services Trade Policy Database’s regulatory information can inform trade negotiations, regulatory analysis, and policy making. Alongside these contributions, the paper documents updates to the Services Trade Policy Database’s economy and sector coverage and explains the latest methodological improvements made to the World Bank–World Trade Organization Services Trade Restrictions Index.
Journal
Journal Volume
Journal Issue
Collections
Related items
Showing items related by metadata.
Publication Does the Village Fund Matter in Thailand?(2009-07-01)This paper evaluates the impact of the Thailand Village and Urban Revolving Fund on household expenditure, income, and assets. The revolving fund was launched in 2001 when the Government of Thailand promised to provide a million baht (about $22,500) to every village and urban community in Thailand as working capital for locally-run rotating credit associations. The money about $2 billion in total was quickly disbursed to locally-run committees in almost all of Thailand s 74,000 villages and more than 4,500 urban (including military) communities. By May 2005, the committees had lent a total of about $8 billion, with an average loan of $466. Using data from the Thailand Socioeconomic Surveys of 2002 and 2004, each of which surveys almost 35,000 households, the authors find that the borrowers were disproportionately poor and agricultural. A propensity score matching model finds that Fund borrowing in 2004 was associated with, on average, 1.9 percent more income, 3.3 percent more expenditure, and about 5 percent more ownership of durable goods. These results are broadly consistent with the results from instrumental variables models (where the identifying instrument was the inverse of village size), which however show a smaller (marginal) effect. Households that borrowed both from the revolving fund and from the Bank of Agriculture and Agricultural Cooperatives gained substantially more in terms of higher income than those who borrowed from either one or the other or from neither.Publication Does Access to Finance Matter in Microenterprise Growth? Evidence from Bangladesh(World Bank, Washington, DC, 2013-01)In less-developed economies such as Bangladesh, the farm sector is the major source of employment and income, while the rural nonfarm sector provides as an additional source of income. But the rural nonfarm sector increasingly plays an important role in fostering the development of the rural economy. A significant share of this sector is made up of microenterprise activities, which requires investment and access to adequate funds. This paper investigates the role access to finance plays in promoting the efficiency and growth of microenterprise activities. The findings suggest that households engaged in microenterprise activities, in addition to farm and other nonfarm activities, are much better off (in terms of income, expenditure and poverty) than those not engaged in such activities. Fewer than 10 percent of the enterprises have access to institutional finance (formal banks or microcredit), although the rate of return on microenterprise investments is more than sufficient (36 percent per year) to repay institutional loans. The research suggests that credit constraints may reduce the enterprises' profit margin by as much as 13.6 percent per year. As the returns to microenterprise investment are found to be high, microfinance institutions can play a larger role in supporting microenterprise growth in Bangladesh.Publication Microfinance and Poverty : Evidence using Panel Data from Bangladesh(Published by Oxford University Press on behalf of the World Bank, 2005-09-08)Microfinance supports mainly informal activities that often have a low return and low market demand. It may therefore be hypothesized that the aggregate poverty impact of microfinance is modest or even nonexistent. If true, the poverty impact of microfinance observed at the participant level represents either income redistribution or short run income generation from the microfinance intervention. This article examines the effects of microfinance on poverty reduction at both the participant and the aggregate levels using panel data from Bangladesh. The results suggest that access to microfinance contributes to poverty reduction, especially for female participants, and to overall poverty reduction at the village level. Microfinance thus helps not only poor participants but also the local economy.Publication Microfinance and Moneylenders: Long-Run Effects of MFIs on Informal Credit Market in Bangladesh(World Bank, Washington, D.C., 2013-09)Using two surveys from Bangladesh, this paper provides evidence on the effects of microfinance competition on village moneylender interest rates and households' dependence on informal credit. The views among practitioners diverge sharply: proponents claim that competition of microfinance institutions reduces both the moneylender interest rate and households' reliance on informal credit, while the critics argue the opposite. Taking advantage of recent econometric approaches that address selection on unobservables without imposing standard exclusion restrictions, this paper finds that microfinance competition does not reduce moneylender interest rates, thus partially repudiating the proponents. The effects are heterogeneous; there is no perceptible effect at low levels of coverage, but when microfinance coverage is high enough, the moneylender interest rate increases significantly. In contrast, households' dependence on informal credit tends to go down after they become a member of a microfinance institution, which contradicts part of the critic's argument. The evidence is consistent with a model where microfinance institutions draw away better borrowers from the moneylender, and fixed costs are important in informal lending.Publication Investment Efficiency and the Distribution of Wealth(World Bank, Washington, DC, 2009)The point of departure of this paper is that in the absence of effectively functioning asset markets the distribution of wealth matters for efficiency. Inefficient asset markets depress total factor productivity (TFP) in two ways: first, by not allowing efficient firms to grow to the size that they should achieve (this could include many great firms that are never started); and second, by allowing inefficient firms to survive by depressing the demand for factors (good firms are too small) and hence factor prices. Both of these effects are dampened when the wealth of the economy is in the hands of the most productive people, again, for two reasons: first, because they do not rely as much on asset markets to get outside resources into the firm; and second, because wealth allows them to self insure and therefore they are more willing to take the right amount of risk. None of this, however, tells us that efficiency enhancing redistributions must always be targeted to the poorest. There is some reason to believe that a lot of the inefficiency lies in the fact that many medium size firms are too small.
Users also downloaded
Showing related downloaded files
Publication The Container Port Performance Index 2023(Washington, DC: World Bank, 2024-07-18)The Container Port Performance Index (CPPI) measures the time container ships spend in port, making it an important point of reference for stakeholders in the global economy. These stakeholders include port authorities and operators, national governments, supranational organizations, development agencies, and other public and private players in trade and logistics. The index highlights where vessel time in container ports could be improved. Streamlining these processes would benefit all parties involved, including shipping lines, national governments, and consumers. This fourth edition of the CPPI relies on data from 405 container ports with at least 24 container ship port calls in the calendar year 2023. As in earlier editions of the CPPI, the ranking employs two different methodological approaches: an administrative (technical) approach and a statistical approach (using matrix factorization). Combining these two approaches ensures that the overall ranking of container ports reflects actual port performance as closely as possible while also being statistically robust. The CPPI methodology assesses the sequential steps of a container ship port call. ‘Total port hours’ refers to the total time elapsed from the moment a ship arrives at the port until the vessel leaves the berth after completing its cargo operations. The CPPI uses time as an indicator because time is very important to shipping lines, ports, and the entire logistics chain. However, time, as captured by the CPPI, is not the only way to measure port efficiency, so it does not tell the entire story of a port’s performance. Factors that can influence the time vessels spend in ports can be location-specific and under the port’s control (endogenous) or external and beyond the control of the port (exogenous). The CPPI measures time spent in container ports, strictly based on quantitative data only, which do not reveal the underlying factors or root causes of extended port times. A detailed port-specific diagnostic would be required to assess the contribution of underlying factors to the time a vessel spends in port. A very low ranking or a significant change in ranking may warrant special attention, for which the World Bank generally recommends a detailed diagnostic.Publication Business Ready 2024(Washington, DC: World Bank, 2024-10-03)Business Ready (B-READY) is a new World Bank Group corporate flagship report that evaluates the business and investment climate worldwide. It replaces and improves upon the Doing Business project. B-READY provides a comprehensive data set and description of the factors that strengthen the private sector, not only by advancing the interests of individual firms but also by elevating the interests of workers, consumers, potential new enterprises, and the natural environment. This 2024 report introduces a new analytical framework that benchmarks economies based on three pillars: Regulatory Framework, Public Services, and Operational Efficiency. The analysis centers on 10 topics essential for private sector development that correspond to various stages of the life cycle of a firm. The report also offers insights into three cross-cutting themes that are relevant for modern economies: digital adoption, environmental sustainability, and gender. B-READY draws on a robust data collection process that includes specially tailored expert questionnaires and firm-level surveys. The 2024 report, which covers 50 economies, serves as the first in a series that will expand in geographical coverage and refine its methodology over time, supporting reform advocacy, policy guidance, and further analysis and research.Publication Global Economic Prospects, June 2025(Washington, DC: World Bank, 2025-06-10)The global economy is facing another substantial headwind, emanating largely from an increase in trade tensions and heightened global policy uncertainty. For emerging market and developing economies (EMDEs), the ability to boost job creation and reduce extreme poverty has declined. Key downside risks include a further escalation of trade barriers and continued policy uncertainty. These challenges are exacerbated by subdued foreign direct investment into EMDEs. Global cooperation is needed to restore a more stable international trade environment and scale up support for vulnerable countries grappling with conflict, debt burdens, and climate change. Domestic policy action is also critical to contain inflation risks and strengthen fiscal resilience. To accelerate job creation and long-term growth, structural reforms must focus on raising institutional quality, attracting private investment, and strengthening human capital and labor markets. Countries in fragile and conflict situations face daunting development challenges that will require tailored domestic policy reforms and well-coordinated multilateral support.Publication Digital Progress and Trends Report 2023(Washington, DC: World Bank, 2024-03-05)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 Global Economic Prospects, January 2025(Washington, DC: World Bank, 2025-01-16)Global growth is expected to hold steady at 2.7 percent in 2025-26. However, the global economy appears to be settling at a low growth rate that will be insufficient to foster sustained economic development—with the possibility of further headwinds from heightened policy uncertainty and adverse trade policy shifts, geopolitical tensions, persistent inflation, and climate-related natural disasters. Against this backdrop, emerging market and developing economies are set to enter the second quarter of the twenty-first century with per capita incomes on a trajectory that implies substantially slower catch-up toward advanced-economy living standards than they previously experienced. Without course corrections, most low-income countries are unlikely to graduate to middle-income status by the middle of the century. Policy action at both global and national levels is needed to foster a more favorable external environment, enhance macroeconomic stability, reduce structural constraints, address the effects of climate change, and thus accelerate long-term growth and development.