IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/31482.html
   My bibliography  Save this paper

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/31482/1/MPRA_paper_31482.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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).
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. 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.
    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. Hyun H. Son, 2013. "Inequality of Human Opportunities in Developing Asia," Asian Development Review, MIT Press, vol. 30(2), pages 110-130, September.
    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Dettmann, E. & Becker, C. & Schmeißer, C., 2011. "Distance functions for matching in small samples," Computational Statistics & Data Analysis, Elsevier, vol. 55(5), pages 1942-1960, May.
    2. Dettmann, Eva & Becker, Claudia & Schmeißer, Christian, 2010. "Is there a Superior Distance Function for Matching in Small Samples?," IWH Discussion Papers 3/2010, Halle Institute for Economic Research (IWH).
    3. Eliasson, Kent, 2006. "How Robust is the Evidence on the Returns to College Choice? Results Using Swedish Administrative Data," Umeå Economic Studies 692, Umeå University, Department of Economics.
    4. Duflo, Esther & Glennerster, Rachel & Kremer, Michael, 2008. "Using Randomization in Development Economics Research: A Toolkit," Handbook of Development Economics, in: T. Paul Schultz & John A. Strauss (ed.), Handbook of Development Economics, edition 1, volume 4, chapter 61, pages 3895-3962, Elsevier.
    5. Guido W. Imbens & Jeffrey M. Wooldridge, 2009. "Recent Developments in the Econometrics of Program Evaluation," Journal of Economic Literature, American Economic Association, vol. 47(1), pages 5-86, March.
    6. Peter R. Mueser & Kenneth R. Troske & Alexey Gorislavsky, 2007. "Using State Administrative Data to Measure Program Performance," The Review of Economics and Statistics, MIT Press, vol. 89(4), pages 761-783, November.
    7. Richard Blundell & Lorraine Dearden & Barbara Sianesi, 2003. "Evaluating the impact of education on earnings in the UK: Models, methods and results from the NCDS," IFS Working Papers W03/20, Institute for Fiscal Studies.
    8. Richard Blundell & Monica Costa Dias, 2009. "Alternative Approaches to Evaluation in Empirical Microeconomics," Journal of Human Resources, University of Wisconsin Press, vol. 44(3).
    9. Ferraro, Paul J. & Miranda, Juan José, 2014. "The performance of non-experimental designs in the evaluation of environmental programs: A design-replication study using a large-scale randomized experiment as a benchmark," Journal of Economic Behavior & Organization, Elsevier, vol. 107(PA), pages 344-365.
    10. Marco Caliendo & Sabine Kopeinig, 2008. "Some Practical Guidance For The Implementation Of Propensity Score Matching," Journal of Economic Surveys, Wiley Blackwell, vol. 22(1), pages 31-72, February.
    11. Maren Duvendack & Richard Palmer-Jones, 2012. "High Noon for Microfinance Impact Evaluations: Re-investigating the Evidence from Bangladesh," Journal of Development Studies, Taylor & Francis Journals, vol. 48(12), pages 1864-1880, December.
    12. Seonho Shin, 2022. "Evaluating the Effect of the Matching Grant Program for Refugees: An Observational Study Using Matching, Weighting, and the Mantel-Haenszel Test," Journal of Labor Research, Springer, vol. 43(1), pages 103-133, March.
    13. Carlos A. Flores & Oscar A. Mitnik, 2009. "Evaluating Nonexperimental Estimators for Multiple Treatments: Evidence from Experimental Data," Working Papers 2010-10, University of Miami, Department of Economics.
    14. 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.
    15. Justine Burns & Malcolm Kewsell & Rebecca Thornton, 2009. "Evaluating the Impact of Health Programmes," SALDRU Working Papers 40, Southern Africa Labour and Development Research Unit, University of Cape Town.
    16. Eliasson, Kent, 2006. "College Choice And Earnings Among University Graduates In Sweden," Umeå Economic Studies 693, Umeå University, Department of Economics.
    17. Andrea Pufahl & Christoph R. Weiss, 2009. "Evaluating the effects of farm programmes: results from propensity score matching," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 36(1), pages 79-101, March.
    18. Richard K. Crump & V. Joseph Hotz & Guido W. Imbens & Oscar A. Mitnik, 2006. "Moving the Goalposts: Addressing Limited Overlap in the Estimation of Average Treatment Effects by Changing the Estimand," NBER Technical Working Papers 0330, National Bureau of Economic Research, Inc.
    19. Eliasson, Kent, 2006. "The Role of Ability in Estimating the Returns to College Choice: New Swedish Evidence," Umeå Economic Studies 691, Umeå University, Department of Economics.
    20. Ashok K. Mishra & Anjani Kumar & Pramod K. Joshi & Alwin D'Souza, 2018. "Cooperatives, contract farming, and farm size: The case of tomato producers in Nepal," Agribusiness, John Wiley & Sons, Ltd., vol. 34(4), pages 865-886, October.

    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

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:31482. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.