Quality of Service Predicts Willingness to Pay for Household Electricity Connections in Rural India

While rural electrification has been a high priority for many governments in the developing world, the factors that make individual households more likely to pay for a connection have received insufficient attention. In particular, many studies have dealt with the role of affordability of grid connections, but they have generally avoided studying the effects of service quality. Estimating the effect of quality on willingness of potential customers to pay is a difficult task because of self-selection — if quality is important, those in higher quality service areas are more likely to have a connection. Using household data from rural India, we estimate a Heckman selection model to deal with this issue and find a substantial impact of quality on willingness to pay for a connection in India. The results suggest that improving the quality of connections is critical to improving access.

Explaining Willingness to Pay for Pricing Reforms that Improve Electricity Service in India

Quality of electricity service remains poor in many developing countries. Here we examine factors that influence stated willingness to pay for better service (i.e., more hours of power per day) among rural and urban households in Uttar Pradesh, India. Besides suggesting that low willingness to pay is a major obstacle to pricing reform, we find that respondents with more social trust are willing to pay more. In a randomized survey experiment, we also find that delays in service improvements and a lack of community support for pricing reform reduce willingness to pay. These results confirm the importance of non-financial considerations in popular support for policies that impose higher prices in exchange for better service. However, we do not find evidence for sense of entitlement — the belief that government should offer basic goods and services for free — as a predictor of low willingness to pay. These results offer useful input for effective strategies to reform electricity pricing for better service and, ultimately, economic growth, particularly in areas where electricity is heavily underpriced and where governance is weak.

Global Patterns of Power Sector Reform, 1982-2013

A reliable supply of electricity is essential for economic development, and developing countries across the world have implemented reforms to improve their power sector performance. We publish a dataset of power sector reforms in 142 developing countries from 1982 to 2013 and use the data to describe patterns of variation. We find that privatization and liberalization of competition continue to lag behind other reforms, such as allowing independent power producers and establishing electricity regulators. However, this gap is only wide for relatively poor and authoritarian countries with low institutional capacity. Hybrid power markets remain a reality, but economic growth and democratization can move power sectors in emerging economies to a different direction. If developing economies continue to expand their economies, build state capacity, and move toward democratic political institutions, then we may see more private electric utilities and competition for profits in the future.

Evaluation of the Reliability of Solar Micro-Grids in Emerging Markets – Issues and Solutions

One of the most important technical features of a power system is its ability to deliver electricity reliably to the customers. Based on interviews with 12 energy service companies (ESCO) currently operating solar micro-grids in northern rural India, this study identified important factors related to technical design, customer behaviour and operations and management (O&M) that may result in contingencies in service. In addition, the study presents companies’ innovative solutions to overcome these problems. Initially, the interview method allowed only a rough qualitative comparison of different reliability levels as the availability of comparable data was limited. We found that a more descriptive method for reliability assessment would create equally valuable information on renewable off-grid energy projects. We propose a simple framework for assessing reliability that highlights the particular features of off-grid areas in developing countries.

Satellite Data for the Social Sciences: Measuring Rural Electrification with Nighttime Lights

Remote sensing data has the potential to revolutionize social science. One of the most prominent examples of this is the Nighttime Lights dataset, which provides digital measures of nighttime luminosity from 1992 to 2013. This study evaluates the Nighttime Lights data against detailed rural electrification data from the 2011 Census of India. The results suggest that many nighttime luminosity measures derived from satellite data are surprisingly accurate for measuring rural electrification, even at the village level and using simple statistical tools. We also demonstrate that this accuracy can be substantially improved by using of better GIS maps, basic geoprocessing tools, and particular aggregations of nighttime luminosity. Nighttime luminosity performs worse in measuring financial inclusion or proxies of poverty, however, and detects rural electrification less accurately when the supply of power is intermittent. These results offer guidelines for when and how remote sensing data can be used when administrative data is absent or unreliable.