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Is electrification welfare improving?: non-experimental evidence from rural Bhutan

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  • Kumar, Santosh
  • Rauniyar, Ganesh

Abstract

This paper investigates the income and educational impacts of a large village-based electrification program in rural Bhutan. We designed and administered a household and village-level socio-economic survey in the electrified and non-electrified villages and collected data on wide range of developmental outcomes. Using Propensity Score Matching (PSM) and propensity-based weighted regression, we find that access to electricity improved economic and educational outcomes. While access to electricity increased non-farm income by 60-70%, and it had no significant effect on farm-income. Since non- farm income consists of a small percentage of total household income, the impact should be considered modest and not large. We also nd that children in electrified households have 0.75 additional years of schooling, an increase of about 24%. Additionally, amount of evening study time at home is 10 minutes more for the children in the treated households compared to untreated households. We employed different matching algorithms and our results are consistent and robust to all matching estimator. Our study contributes to the few studies on infrastructure literature which has often been focused on transport, telecom, and water projects. Given the limited use of electricity for income-generating activities in Bhutan, investments in other complementary infrastructure, such as, markets, roads, information technology, credit may help the households to realize the full benefits of electrification.

Suggested Citation

  • Kumar, Santosh & Rauniyar, Ganesh, 2011. "Is electrification welfare improving?: non-experimental evidence from rural Bhutan," MPRA Paper 31482, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:31482
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    References listed on IDEAS

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    1. A. Smith, Jeffrey & E. Todd, Petra, 2005. "Does matching overcome LaLonde's critique of nonexperimental estimators?," Journal of Econometrics, Elsevier, vol. 125(1-2), pages 305-353.
    2. Nazmul Chaudhury & Jeffrey Hammer & Michael Kremer & Karthik Muralidharan & F. Halsey Rogers, 2006. "Missing in Action: Teacher and Health Worker Absence in Developing Countries," Journal of Economic Perspectives, American Economic Association, vol. 20(1), pages 91-116, Winter.
    3. Jalan, Jyotsna & Ravallion, Martin, 2003. "Does piped water reduce diarrhea for children in rural India?," Journal of Econometrics, Elsevier, vol. 112(1), pages 153-173, January.
    4. Binswanger, Hans P. & Khandker, Shahidur R. & Rosenzweig, Mark R., 1993. "How infrastructure and financial institutions affect agricultural output and investment in India," Journal of Development Economics, Elsevier, vol. 41(2), pages 337-366, August.
    5. Black, Dan A. & Smith, J.A.Jeffrey A., 2004. "How robust is the evidence on the effects of college quality? Evidence from matching," Journal of Econometrics, Elsevier, vol. 121(1-2), pages 99-124.
    6. Mobarak, Ahmed & Lipscomb, Molly & Barham, Tania, 2011. "Development Effects of Electrification: Evidence from the Geologic Placement of Hydropower Plants in Brazil," CEPR Discussion Papers 8427, C.E.P.R. Discussion Papers.
    7. Ravallion, Martin, 2008. "Evaluating Anti-Poverty Programs," Handbook of Development Economics, in: T. Paul Schultz & John A. Strauss (ed.), Handbook of Development Economics, edition 1, volume 4, chapter 59, pages 3787-3846, Elsevier.
    8. Heckman, James J. & Lalonde, Robert J. & Smith, Jeffrey A., 1999. "The economics and econometrics of active labor market programs," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 31, pages 1865-2097, Elsevier.
    9. James Heckman & Hidehiko Ichimura & Jeffrey Smith & Petra Todd, 1998. "Characterizing Selection Bias Using Experimental Data," Econometrica, Econometric Society, vol. 66(5), pages 1017-1098, September.
    10. Barnes,Douglas French & Khandker,Shahidur R. & Nguyen,Minh Huu & Samad,Hussain A., 2009. "Welfare impacts of rural electrification : evidence from Vietnam," Policy Research Working Paper Series 5057, The World Bank.
    11. James J. Heckman & Hidehiko Ichimura & Petra Todd, 1998. "Matching As An Econometric Evaluation Estimator," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 65(2), pages 261-294.
    12. Sascha O. Becker & Andrea Ichino, 2002. "Estimation of average treatment effects based on propensity scores," Stata Journal, StataCorp LP, vol. 2(4), pages 358-377, November.
    13. Juan Jose Diaz & Sudhanshu Handa, 2006. "An Assessment of Propensity Score Matching as a Nonexperimental Impact Estimator: Evidence from Mexico’s PROGRESA Program," Journal of Human Resources, University of Wisconsin Press, vol. 41(2).
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    Cited by:

    1. Hyun H. Son, 2013. "Inequality of Human Opportunities in Developing Asia," Asian Development Review, MIT Press, vol. 30(2), pages 110-130, September.
    2. Obsa Urgessa Ayana & Jima Degaga, 2022. "Effects of rural electrification on household welfare: a meta-regression analysis," International Review of Economics, Springer;Happiness Economics and Interpersonal Relations (HEIRS), vol. 69(2), pages 209-261, June.
    3. Sinem Kilic Celik & M. Ayhan Kose & Franziska Ohnsorge, 2023. "Potential Growth Prospects: Risks, Rewards and Policies," CAMA Working Papers 2023-19, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    4. Dendup, Ngawang & Arimura, Toshi H., 2019. "Information leverage: The adoption of clean cooking fuel in Bhutan," Energy Policy, Elsevier, vol. 125(C), pages 181-195.
    5. Mohammad Jahangir Alam & Shinji Kaneko, 2019. "The Effects of Electrification on School Enrollment in Bangladesh: Short- and Long-Run Perspectives," Energies, MDPI, vol. 12(4), pages 1-26, February.

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    More about this item

    Keywords

    Rural Electrification; Development Effectiveness; Asian Development Bank; Impct Evaluation; South-east Asia; Bhutan.;
    All these keywords.

    JEL classification:

    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
    • O20 - Economic Development, Innovation, Technological Change, and Growth - - Development Planning and Policy - - - General
    • N75 - Economic History - - Economic History: Transport, International and Domestic Trade, Energy, and Other Services - - - Asia including Middle East

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