Abstract:This paper estimates the returns to household income due to improved access to electricity in rural India. We examine the effect of connecting a household to the grid and the quality of electricity, defined as hours of daily supply. The analysis is based on two rounds of a representative panel of more than 10,000 households. We use the district-level density of transmission cables as instrument for the electrification status of the household. We find that a grid connection increases non-agricultural incomes of… Show more
“…Similarly, the instrumental variable estimates of the effect of electrification on household income in Chakravorty et al. () ranged between 86.7 and 89.8 percent.…”
Section: Empirical Evidence From Previous Literaturementioning
confidence: 95%
“…Some of the rigorous efforts to determine attribution of RE on development outcomes in developing countries include Chakravorty et al. (), Dinkelman (), Lipscomb et al. (), and Rud ().…”
Section: Empirical Evidence From Previous Literaturementioning
confidence: 99%
“…Some of the rigorous efforts to determine attribution of RE on development outcomes in developing countries include Chakravorty et al (2014), Dinkelman (2011), Lipscomb et al (2013), and Rud (2012). The first study examined impact of electrification on income, the second study on female employment and wages, the third on income, poverty, and Human Development Index, and the fourth on industrial outputs.…”
Section: Empirical Evidence From Previous Literaturementioning
confidence: 99%
“…The nonrandom selection of projects is likely to bias the comparison of electrified and nonelectrified groups and would be confounded with the unobserved heterogeneity. Some of the previous studies on this topic either have relied on randomized experiments (Bernard & Torero, 2015) or instrumental variables (IV) methods to deal with the fact that access to electricity is not randomly assigned (Chakravorty, Pelli, & Beyza, 2014;Dinkelman, 2011;Rud, 2012).…”
We investigate the impact of a rural electrification program on household income and children's schooling in rural Bhutan. Using propensity score matching, we find that electrification had a statistically significant impact on nonfarm income and education. Nonfarm income increased by 61 percent and children gained 0.72 additional years of schooling and 9 minutes of study time per day. We do not observe significant effects on farm income. Results are consistent and robust to different matching algorithms. Our findings indicate that investments in reducing energy deficit may help improve human welfare in Bhutan.
“…Similarly, the instrumental variable estimates of the effect of electrification on household income in Chakravorty et al. () ranged between 86.7 and 89.8 percent.…”
Section: Empirical Evidence From Previous Literaturementioning
confidence: 95%
“…Some of the rigorous efforts to determine attribution of RE on development outcomes in developing countries include Chakravorty et al. (), Dinkelman (), Lipscomb et al. (), and Rud ().…”
Section: Empirical Evidence From Previous Literaturementioning
confidence: 99%
“…Some of the rigorous efforts to determine attribution of RE on development outcomes in developing countries include Chakravorty et al (2014), Dinkelman (2011), Lipscomb et al (2013), and Rud (2012). The first study examined impact of electrification on income, the second study on female employment and wages, the third on income, poverty, and Human Development Index, and the fourth on industrial outputs.…”
Section: Empirical Evidence From Previous Literaturementioning
confidence: 99%
“…The nonrandom selection of projects is likely to bias the comparison of electrified and nonelectrified groups and would be confounded with the unobserved heterogeneity. Some of the previous studies on this topic either have relied on randomized experiments (Bernard & Torero, 2015) or instrumental variables (IV) methods to deal with the fact that access to electricity is not randomly assigned (Chakravorty, Pelli, & Beyza, 2014;Dinkelman, 2011;Rud, 2012).…”
We investigate the impact of a rural electrification program on household income and children's schooling in rural Bhutan. Using propensity score matching, we find that electrification had a statistically significant impact on nonfarm income and education. Nonfarm income increased by 61 percent and children gained 0.72 additional years of schooling and 9 minutes of study time per day. We do not observe significant effects on farm income. Results are consistent and robust to different matching algorithms. Our findings indicate that investments in reducing energy deficit may help improve human welfare in Bhutan.
“…Rural consumers often mistrust electricity from the centralized utility due to the increased costs from factors such as remoteness and grid expansion (Chaurey, ; Sharma, ). Studies show that a simple connection to the grid provides limited returns to household income due to low quality of grid‐provided energy (Chakravorty et al ., ). Central electricity providers are criticized for their “neglect of the consumer” and lacking sensitivity to consumer expectations (Sharma, ), contributing to consumer demand for alternative electrification options.…”
This study identifies and assesses the perspectives of four key stakeholder groups towards solar minigrids in rural India. The stakeholders considered are policymakers, minigrid developers and operators, development organizations, and national grid representatives. Recent state and national policies in India have increased the focus on minigrids and their services. In this study, stakeholder interviews were employed to identify the attitudes towards the recent electricity policy, the underlying context for minigrid development, the role of minigrids in rural electrification, and the inclusion of minigrid systems within the larger framework of electricity sector policies by the recent government minigrid policies. Results indicate that stakeholders agree that minigrids, as a rural electricity service, are currently viable to complement the national grid due to their high reliability, performance in remote regions, and diminishing cost per unit. However, stakeholders disagree on the future outcomes, with diverging views on the priority of minigrids as an electrification tool in the face of the expanding central grid, the ideal implementation strategy for minigrids, and the potential for grid‐minigrid interaction. Based on stakeholder feedback, the growth of minigrids in India is likely to be constrained by the confidence in recent policies, necessitating more frequent dialogue among decision makers and a solidified relationship to the national electricity grid.
Mini‐grids are considered important in order to improve access to electricity in developing countries. Their technical and organizational independence from the large national grids and their interactions with local social, economic, and environmental factors suggests that system dynamics is a useful method of analysis. However, the successful implementation of mini‐grids in rural electrification has partly been prevented due to complexity issues, making problem formulation difficult. Most problem‐solving methods, such as system dynamics, require well‐defined problems. Previous work on the problem formulation process in system dynamics is limited. This work presents a conceptual framework for tackling complexity and uncertainties in rural electrification. The conceptual framework is general and draws on research in conceptual modelling and system dynamics. The focus is on the learning that can be achieved from a system description and how it can be used to tackle complexity by reducing uncertainties and improving knowledge.
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