Publication:
How Valuable is the Reliability of Residential Electricity Supply in Low-Income Countries? Evidence from Nepal

Loading...
Thumbnail Image
Files in English
English PDF (813.34 KB)
418 downloads
Published
2020-06
ISSN
Date
2020-07-06
Editor(s)
Abstract
This study uses a contingent valuation approach to value the willingness-to-pay (WTP) for improved service experienced by households in Nepal following the end of the country's load-shedding crisis of 2008-2016. Using a detailed survey of grid-connected Nepali households, the authors calculate the WTP per outage-day avoided and the residential value of lost (VoLL) and analyze their key drivers. Households are willing to pay, on average, 123.32 NR ($1.11) per month, or 65 percent of the actual average monthly bill for improved quality of power supply. The preferred estimates of the VoLL are in the range of 5 to 15 NR/kWh (¢4.7-¢14/kWh). These estimates are below the marginal cost of avoided load shedding, and virtually the same as valuations at the beginning of the load-shedding crisis.
Link to Data Set
Citation
Alberini, Anna; Steinbuks, Jevgenijs; Timilsina, Govinda. 2020. How Valuable is the Reliability of Residential Electricity Supply in Low-Income Countries? Evidence from Nepal. Policy Research Working Paper;No. 9311. © World Bank. http://hdl.handle.net/10986/34026 License: CC BY 3.0 IGO.
Associated URLs
Associated content
Report Series
Report Series
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) Farkas, Hannah; Linsenmeier, Manuel; Talevi, Marta; Avner, Paolo; Jafino, Bramka Arga; Sidibe, Moussa
    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
    The Macroeconomic Implications of Climate Change Impacts and Adaptation Options
    (Washington, DC: World Bank, 2025-05-29) Abalo, Kodzovi; Boehlert, Brent; Bui, Thanh; Burns, Andrew; Castillo, Diego; Chewpreecha, Unnada; Haider, Alexander; Hallegatte, Stephane; Jooste, Charl; McIsaac, Florent; Ruberl, Heather; Smet, Kim; Strzepek, Ken
    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
    Labor Demand in the Age of Generative AI: Early Evidence from the U.S. Job Posting Data
    (Washington, DC: World Bank, 2025-11-18) Liu, Yan; Wang, He; Yu, Shu
    This paper examines the causal impact of generative artificial intelligence on U.S. labor demand using online job posting data. Exploiting ChatGPT’s release in November 2022 as an exogenous shock, the paper applies difference-in-differences and event study designs to estimate the job displacement effects of generative artificial intelligence. The identification strategy compares labor demand for occupations with high versus low artificial intelligence substitution vulnerability following ChatGPT’s launch, conditioning on similar generative artificial intelligence exposure levels to isolate substitution effects from complementary uses. The analysis uses 285 million job postings collected by Lightcast from the first quarter of 2018 to the second quarter of 2025Q2. The findings show that the number of postings for occupations with above-median artificial intelligence substitution scores fell by an average of 12 percent relative to those with below-median scores. The effect increased from 6 percent in the first year after the launch to 18 percent by the third year. Losses were particularly acute for entry-level positions that require neither advanced degrees (18 percent) nor extensive experience (20 percent), as well as those in administrative support (40 percent) and professional services (30 percent). Although generative artificial intelligence generates new occupations and enhances productivity, which may increase labor demand, early evidence suggests that some occupations may be less likely to be complemented by generative artificial intelligence than others.
  • Publication
    External Finance in Emerging Markets and Developing Economies: A Tale of Differences in Vulnerabilities
    (Washington, DC: World Bank, 2025-12-04) Kim, Dohan; Milesi-Ferretti, Gian Maria
    Over the past two decades, many emerging markets and developing economies have been viewed as increasingly resilient to external financial shocks. This paper assesses whether such resilience is broadly shared across emerging markets and developing economies by classifying them into three tiers based on economic size, income level, institutional strength, and financial integration. The analysis shows that first-tier emerging markets and developing economies have improved their external balance sheets and reduced dependence on official support. However, second- and third-tier emerging markets and developing economies have experienced growing external vulnerabilities since the global financial crisis, marked by rising external debt liabilities and declining foreign exchange reserves. Using a range of indicators, including sovereign defaults, arrears, partial defaults, and International Monetary Fund lending, the paper identifies episodes of external financial distress and shows that distress remains widespread among second- and third-tier emerging markets and developing economies. The empirical analysis confirms that key components of the net international investment position—especially external debt and foreign exchange reserves—predict the onset of external financial distress, with institutional quality shaping the impact. Weak institutions amplify risks, while strong institutions mitigate them. These findings highlight the importance of recognizing heterogeneity across emerging markets and developing economies, strengthening institutional quality alongside external balance-sheet management, and rebuilding buffers to safeguard against renewed global financial stress.
  • Publication
    Rigging the Scores: Corruption through Scoring Rule Manipulation in Public Procurement Auctions
    (Washington, DC: World Bank, 2025-12-02) Chen, Qianmiao
    Public procurement is highly susceptible to corruption, especially in developing countries. Although open auctions are widely adopted to curb it, this paper finds that corruption remains prevalent even within this procurement format. Procurement officers can collaborate with firms to manipulate scoring rules, ensuring predetermined winners, while corrupt firms submit noncompetitive bids to meet minimum bidder requirements. Using extensive data from Chinese public procurement auctions, the paper introduces model-driven statistical tools to detect such corruption, identifying a corruption rate of 65 percent. A procurement expert audit survey confirms the tools’ reliability, with a 91 percent probability that experts recognize suspicious scoring rules when flagged. Firm-level analysis reveals that local, state-owned, and less productive firms are favored in corrupt auctions. Lastly, the paper explores policy implications. Analysis of the national anti-corruption campaign since 2012 suggests that general investigations may be insufficient to address deeply ingrained corrupt practices. Using counterfactuals based on an estimated structural model, the paper shows that implementing anonymous call-for-tender evaluations could improve social welfare by 10 percent by eliminating suspicious rules and encouraging broader participation.
Journal
Journal Volume
Journal Issue

Related items

Showing items related by metadata.

  • Publication
    How Much Has Nepal Lost in the Last Decade Due to Load Shedding?
    (World Bank, Washington, DC, 2018-06) Timilsina, Govinda; Sapkota, Prakash; Steinbuks, Jevgenijs
    Nepal suffered with severe shortage of electricity supply or load shedding in the last decade. Electricity load shedding is considered one of the major barriers to the country's economic development. This study uses a computable general equilibrium model to estimate the economic costs of electricity load shedding the country faced during 2008-16. The study shows that if there had been no load shedding, annual gross domestic product, on average, would have been almost 7 percent higher than it was during 2008-16. The worst effects of load shedding were on the investment environment. If there had been no load shedding, investment would have been 48 percent higher than it was. Although electricity load shedding has been reduced recently in the residential sector through better electricity load management and increased electricity production and imports, the industrial sector, one of the main sources of economic growth in the country, still faces load shedding. Unless the electricity load shedding is eliminated, Nepal will continue to suffer a heavy economic loss.
  • Publication
    Tajikistan’s Winter Energy Crisis : Electricity Supply and Demand Alternatives
    (World Bank, Washington, DC, 2012-11) Fields, Daryl; Kochnakyan, Artur; Stuggins, Gary; Besant-Jones, John
    Reliable power supply is critical for Tajikistan's economy and poverty reduction goals. Without reliable, affordable electricity throughout the year, Tajikistan's businesses cannot invest, operate and create jobs; hospitals and schools cannot function fully or safely with frequent power cuts during winter; citizens suffer indoor air pollution from burning wood for heating and cooking. Electricity also powers the country's two largest exports: aluminum and agricultural produce, which account for about 30 percent of Tajikistan's annual gross domestic product and almost 45 percent of export earnings. Currently, electricity is the cheapest available resource to heat homes so the residential and commercial sectors are highly dependent on electricity for heat as well as lighting and industrial processes. The Government is responsible for guiding programs that keep power supply apace with demand. The purpose of this study is to assist the Government in further defining ways to meet growing demand for electricity in Tajikistan, with a particular focus on the recurring winter shortages which amount to about 24 percent of winter demand. The study also examines the potential benefits of power exports, particularly during summers when hydropower plants spill energy. The study explores a range of alternatives to meet electricity demand as quickly as possible and develop a short term plan of action to alleviate the social and economic costs of winter shortages. The study focuses on multiple initiatives that can be started immediately and simultaneously, and will establish fundamental components of energy security for Tajikistan, namely: to moderate unsustainable demand growth, protect the current asset base, and remedy the thermal/hydro imbalance in the energy sector.
  • Publication
    Tajikistan's Winter Energy Crisis : Electricity Supply and Demand Alternatives
    (Washington, DC: World Bank, 2013) Fields, Daryl; Kochnakyan, Artur; Mukhamedova, Takhmina; Stuggins, Gary; Besant-Jones, John
    Tajikistan's electricity system is in a state of crisis. Approximately 70 percent of the Tajik people suffer from extensive shortages of electricity during the winter. These shortages, estimated at about 2,700 GWh, about a quarter of winter electricity demand, impose economic losses estimated at over United States (US) 200 million dollars per annum or 3 percent of Gross Domestic Product (GDP). The electricity shortages have not been addressed because investments have not been made in new electricity supply capacity and maintenance of existing assets has not improved. The financial incentive for electricity consumers to reduce their consumption is inadequate as electricity prices are among the lowest in the world. Without prompt action to remedy the causes of Tajikistan's electricity crisis and with growing demand, the shortages could increase to about 4,500 GWh by 2016 (over a third of winter electricity demand) or worse. The World Bank undertook this study to assist the Government of Tajikistan (GoT) in finding ways to overcome the current electricity shortages and establish a sound basis for meeting the growing electricity demand in Tajikistan. The study focuses on the investments and policy reforms needed between now and 2020 to strengthen the financial, technical and institutional capacity of the Tajik power sector and prepare the GoT for undertaking a major expansion of power supply capacity. The study excludes large hydropower plants with storage, given their complexity and global experience that such projects are subject to delays. The winter electricity shortages are caused by a combination of low hydropower output during winter when river flows are low and high demand driven by heating needs. The GoT should focus its immediate attention on three ways to eliminate the current winter power shortages: 1) ambitious energy efficiency plans to reduce uneconomic power usage; 2) new dual-fired thermal power supply to complement the existing hydropower supply during winter; and 3) increased energy imports to leverage surplus electricity supply in neighboring countries.
  • Publication
    Paying the Price for Unreliable Power Supplies : In-House Generation of Electricity by Firms in Africa
    (2009-04-01) Steinbuks, Jevgenijs; Foster, Vivien
    This paper documents the prevalence of in-house generation of electric power by firms in Sub-Saharan Africa and attempts to identify the underlying causes. The analysis is based on two data sources. The UDI World Electric Power Plants Data Base (WEPP), a global inventory of electric power generating units, provides a detailed inventory of in-house generation at the country level. The World Bank's Enterprise Survey Database captures business perceptions of the obstacles to enterprise growth for 8,483 currently operating firms in 25 African countries. Overall, so-called own generation by firms-which has been on the rise in recent years-accounts for about 6 percent of installed generation capacity in Sub-Saharan Africa (equivalent to at least 4,000 MW of installed capacity). However, this share doubles to around 12 percent in the low-income countries, the post-conflict countries, and more generally on the Western side of the continent. In a handful of countries own generation represents more than 20 percent of capacity. Rigorous empirical analysis shows that unreliable public power supplies is far from being the only or even the largest factor driving generator ownership. Firm characteristics have a major influence-in particular, the probability of owning a generator doubles in large firms relative to small ones. Our model predicts that the prevalence of own generation would remain high (at around 20 percent) even if power supplies were perfectly reliable, suggesting that other factors, such as emergency back-up and export regulations, play a critical role in the decision to own a generator.
  • Publication
    The Impacts of Metering and Climate Conditions on Residential Electricity Demand : The Case of Albania
    (2011-01-01) Iimi, Atsushi
    Albania is among the most vulnerable countries to external energy shocks and climatic conditions, because of its high dependency on hydropower for electricity. Given highly volatile international energy prices and expected global warming, it is becoming increasingly important to manage the demand for electricity. However, the country has long been faced with a significant problem of electricity metering. About one-third of total energy is lost for technical and nontechnical reasons. This paper estimates the residential demand function by applying a two-stage system equation method for an endogenous censored variable, because the lack of metering makes the electricity consumption partially observable for the econometrician. It is found that metering is important to curb non-essential electricity use by households. The electricity demand could also be reduced by raising the first block rate and lowering the second block rate and the threshold between the two blocks. In addition, weather conditions and home appliance ownership would affect the demand for electricity. But the latter looks more influential than the former.

Users also downloaded

Showing related downloaded files

  • Publication
    Argentina Country Climate and Development Report
    (World Bank, Washington, DC, 2022-11) World Bank Group
    The Argentina Country Climate and Development Report (CCDR) explores opportunities and identifies trade-offs for aligning Argentina’s growth and poverty reduction policies with its commitments on, and its ability to withstand, climate change. It assesses how the country can: reduce its vulnerability to climate shocks through targeted public and private investments and adequation of social protection. The report also shows how Argentina can seize the benefits of a global decarbonization path to sustain a more robust economic growth through further development of Argentina’s potential for renewable energy, energy efficiency actions, the lithium value chain, as well as climate-smart agriculture (and land use) options. Given Argentina’s context, this CCDR focuses on win-win policies and investments, which have large co-benefits or can contribute to raising the country’s growth while helping to adapt the economy, also considering how human capital actions can accompany a just transition.
  • Publication
    Lebanon Economic Monitor, Fall 2022
    (Washington, DC, 2022-11) World Bank
    The economy continues to contract, albeit at a somewhat slower pace. Public finances improved in 2021, but only because spending collapsed faster than revenue generation. Testament to the continued atrophy of Lebanon’s economy, the Lebanese Pound continues to depreciate sharply. The sharp deterioration in the currency continues to drive surging inflation, in triple digits since July 2020, impacting the poor and vulnerable the most. An unprecedented institutional vacuum will likely further delay any agreement on crisis resolution and much needed reforms; this includes prior actions as part of the April 2022 International Monetary Fund (IMF) staff-level agreement (SLA). Divergent views among key stakeholders on how to distribute the financial losses remains the main bottleneck for reaching an agreement on a comprehensive reform agenda. Lebanon needs to urgently adopt a domestic, equitable, and comprehensive solution that is predicated on: (i) addressing upfront the balance sheet impairments, (ii) restoring liquidity, and (iii) adhering to sound global practices of bail-in solutions based on a hierarchy of creditors (starting with banks’ shareholders) that protects small depositors.
  • Publication
    Classroom Assessment to Support Foundational Literacy
    (Washington, DC: World Bank, 2025-03-21) Luna-Bazaldua, Diego; Levin, Victoria; Liberman, Julia; Gala, Priyal Mukesh
    This document focuses primarily on how classroom assessment activities can measure students’ literacy skills as they progress along a learning trajectory towards reading fluently and with comprehension by the end of primary school grades. The document addresses considerations regarding the design and implementation of early grade reading classroom assessment, provides examples of assessment activities from a variety of countries and contexts, and discusses the importance of incorporating classroom assessment practices into teacher training and professional development opportunities for teachers. The structure of the document is as follows. The first section presents definitions and addresses basic questions on classroom assessment. Section 2 covers the intersection between assessment and early grade reading by discussing how learning assessment can measure early grade reading skills following the reading learning trajectory. Section 3 compares some of the most common early grade literacy assessment tools with respect to the early grade reading skills and developmental phases. Section 4 of the document addresses teacher training considerations in developing, scoring, and using early grade reading assessment. Additional issues in assessing reading skills in the classroom and using assessment results to improve teaching and learning are reviewed in section 5. Throughout the document, country cases are presented to demonstrate how assessment activities can be implemented in the classroom in different contexts.
  • Publication
    World Development Report 2006
    (Washington, DC, 2005) World Bank
    This year’s Word Development Report (WDR), the twenty-eighth, looks at the role of equity in the development process. It defines equity in terms of two basic principles. The first is equal opportunities: that a person’s chances in life should be determined by his or her talents and efforts, rather than by pre-determined circumstances such as race, gender, social or family background. The second principle is the avoidance of extreme deprivation in outcomes, particularly in health, education and consumption levels. This principle thus includes the objective of poverty reduction. The report’s main message is that, in the long run, the pursuit of equity and the pursuit of economic prosperity are complementary. In addition to detailed chapters exploring these and related issues, the Report contains selected data from the World Development Indicators 2005‹an appendix of economic and social data for over 200 countries. This Report offers practical insights for policymakers, executives, scholars, and all those with an interest in economic development.
  • Publication
    Digital Africa
    (Washington, DC: World Bank, 2023-03-13) Begazo, Tania; Dutz, Mark Andrew; Blimpo, Moussa
    All African countries need better and more jobs for their growing populations. "Digital Africa: Technological Transformation for Jobs" shows that broader use of productivity-enhancing, digital technologies by enterprises and households is imperative to generate such jobs, including for lower-skilled people. At the same time, it can support not only countries’ short-term objective of postpandemic economic recovery but also their vision of economic transformation with more inclusive growth. These outcomes are not automatic, however. Mobile internet availability has increased throughout the continent in recent years, but Africa’s uptake gap is the highest in the world. Areas with at least 3G mobile internet service now cover 84 percent of Africa’s population, but only 22 percent uses such services. And the average African business lags in the use of smartphones and computers as well as more sophisticated digital technologies that catalyze further productivity gains. Two issues explain the usage gap: affordability of these new technologies and willingness to use them. For the 40 percent of Africans below the extreme poverty line, mobile data plans alone would cost one-third of their incomes—in addition to the price of access devices, apps, and electricity. Data plans for small- and medium-size businesses are also more expensive than in other regions. Moreover, shortcomings in the quality of internet services—and in the supply of attractive, skills-appropriate apps that promote entrepreneurship and raise earnings—dampen people’s willingness to use them. For those countries already using these technologies, the development payoffs are significant. New empirical studies for this report add to the rapidly growing evidence that mobile internet availability directly raises enterprise productivity, increases jobs, and reduces poverty throughout Africa. To realize these and other benefits more widely, Africa’s countries must implement complementary and mutually reinforcing policies to strengthen both consumers’ ability to pay and willingness to use digital technologies. These interventions must prioritize productive use to generate large numbers of inclusive jobs in a region poised to benefit from a massive, youthful workforce—one projected to become the world’s largest by the end of this century.