IDEAS home Printed from https://ideas.repec.org/p/oxf/oxcrwp/185.html
   My bibliography  Save this paper

Nighttime Lights and Power Infrastructure Investment: Evidence from Angola

Author

Listed:
  • Qi Zhang
  • James Cust

Abstract

An increasing number of papers in the literature use satellite data on nighttime lights as a proxy for economic activities, such as GDP or GDP growth. They implicitly assume that the relationship between GDP and nighttime lights works through the demand side, and there is no constraint on the supply of electricity. This paper first points out a paradox in using this method: the countries for which the method is needed the most, i.e. the countries with poor statistical capacity, are just the countries, for which the assumption of the method is satisfied the least, i.e. the countries with a large power infrastructure deficit. Motivated by this, we collected the data on power infrastructure investment in Angola, a country with a large power infrastructure funding gap. Indeed, we find that in the case of Angola the stable relationship between GDP growth and lights growth assumed in the literature is broken. Instead,increase in lights strongly co-moved with increase in power infrastructure investment. The strong link between lights and investment enables us to develop a new method of quantitatively evaluating value-for-money for infrastructure investments, which directly estimates the cost-effectiveness of transforming investment to welfare, as measured by lights. We estimate the overall cost-effectiveness, and the cost-effectiveness of different financing methods in the case of Angola.

Suggested Citation

  • Qi Zhang & James Cust, 2016. "Nighttime Lights and Power Infrastructure Investment: Evidence from Angola," OxCarre Working Papers 185, Oxford Centre for the Analysis of Resource Rich Economies, University of Oxford.
  • Handle: RePEc:oxf:oxcrwp:185
    as

    Download full text from publisher

    File URL: https://ora.ox.ac.uk/objects/uuid:a53cb06f-ef62-44c0-ac49-f6d3a34f1a82
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Dubin, Jeffrey A & McFadden, Daniel L, 1984. "An Econometric Analysis of Residential Electric Appliance Holdings and Consumption," Econometrica, Econometric Society, vol. 52(2), pages 345-362, March.
    2. François Bourguignon & Martin Fournier & Marc Gurgand, 2007. "Selection Bias Corrections Based On The Multinomial Logit Model: Monte Carlo Comparisons," Journal of Economic Surveys, Wiley Blackwell, vol. 21(1), pages 174-205, February.
    3. Frederick van der Ploeg & Anthony J. Venables, 2012. "Natural Resource Wealth: The Challenge of Managing a Windfall," Annual Review of Economics, Annual Reviews, vol. 4(1), pages 315-337, July.
    4. Sutton, Paul C. & Costanza, Robert, 2002. "Global estimates of market and non-market values derived from nighttime satellite imagery, land cover, and ecosystem service valuation," Ecological Economics, Elsevier, vol. 41(3), pages 509-527, June.
    5. Francesco Caselli & Guy Michaels, 2013. "Do Oil Windfalls Improve Living Standards? Evidence from Brazil," American Economic Journal: Applied Economics, American Economic Association, vol. 5(1), pages 208-238, January.
    6. Lee, Lung-Fei, 1983. "Generalized Econometric Models with Selectivity," Econometrica, Econometric Society, vol. 51(2), pages 507-512, March.
    7. Gordon B. Dahl, 2002. "Mobility and the Return to Education: Testing a Roy Model with Multiple Markets," Econometrica, Econometric Society, vol. 70(6), pages 2367-2420, November.
    8. Vivien Foster & Cecilia Briceno-Garmendia, 2010. "Africa's Infrastructure : A Time for Transformation [Infrastructures africaines]," World Bank Publications - Books, The World Bank Group, number 2692.
    9. Doll, Christopher N.H. & Muller, Jan-Peter & Morley, Jeremy G., 2006. "Mapping regional economic activity from night-time light satellite imagery," Ecological Economics, Elsevier, vol. 57(1), pages 75-92, April.
    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. Schreiner, Lena & Madlener, Reinhard, 2022. "Investing in power grid infrastructure as a flexibility option: A DSGE assessment for Germany," Energy Economics, Elsevier, vol. 107(C).

    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. Breustedt, Gunnar & Schulz, Norbert & Latacz-Lohmann, Uwe, 2013. "Kalibrierung von Vertragsnaturschutzprogrammen mittels eines zweistufigen Discrete-Choice-Experimentes," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 62(04), pages 1-17, November.
    2. Guaracyane Lima Campelo & João Mário Santos De França & Emerson Luís Lemos Marinho, 2016. "Impacts Of Malnutrition On Labor Productivity: Empirical Evidences In Rural Brazil," Anais do XLII Encontro Nacional de Economia [Proceedings of the 42nd Brazilian Economics Meeting] 236, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    3. Sergi Jiménez-Martín & Cristina Prieto, 2012. "The trade-off between formal and informal care in Spain," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 13(4), pages 461-490, August.
    4. Aleksandra Anić & Gorana Krstić, 2019. "What Lies Behind The Gender Wage Gap In Serbia?," Economic Annals, Faculty of Economics and Business, University of Belgrade, vol. 64(223), pages 137-170, October –.
    5. Stéphane Couture & Serge Garcia & Arnaud Reynaud, 2009. "Household Energy Choices and Fuelwood Consumption: An Econometric Approach to the French Data," LERNA Working Papers 09.08.284, LERNA, University of Toulouse.
    6. Damette, Olivier & Delacote, Philippe & Lo, Gaye Del, 2018. "Households energy consumption and transition toward cleaner energy sources," Energy Policy, Elsevier, vol. 113(C), pages 751-764.
    7. C. Duvivier & S. Li & M.-F. Renard, 2013. "Are workers close to cities paid higher nonagricultural wages in rural China?," Applied Economics, Taylor & Francis Journals, vol. 45(30), pages 4308-4322, October.
    8. Espenlaub, Susanne & Khurshed, Arif & Mohamed, Abdulkadir, 2014. "Does cross-border syndication affect venture capital risk and return?," International Review of Financial Analysis, Elsevier, vol. 31(C), pages 13-24.
    9. Miguel Santolino & Magnus Söderberg, 2014. "Modelling appellate courts’ responses in motor injury disputes," European Journal of Law and Economics, Springer, vol. 38(3), pages 393-407, December.
    10. Ewa Cukrowska-Torzewska & Anna Lovasz, 2017. "The Impact of Parenthood on the Gender Wage Gap – a Comparative Analysis of 26 European Countries," Working Papers 2017-25, Faculty of Economic Sciences, University of Warsaw.
    11. Bertoli, S. & Fernández-Huertas Moraga, J. & Ortega, F., 2013. "Crossing the border: Self-selection, earnings and individual migration decisions," Journal of Development Economics, Elsevier, vol. 101(C), pages 75-91.
    12. Raquel Carrasco & J Ignacio García-Pérez & Juan F Jimeno, 2024. "Worker flows and wage dynamics: estimating wage growth without composition effects," Oxford Economic Papers, Oxford University Press, vol. 76(1), pages 94-114.
    13. Zhao, Shangwei & Xie, Tian & Ai, Xin & Yang, Guangren & Zhang, Xinyu, 2023. "Correcting sample selection bias with model averaging for consumer demand forecasting," Economic Modelling, Elsevier, vol. 123(C).
    14. By Barbara Mueller & Jürg Schweri, 2015. "How specific is apprenticeship training? Evidence from inter-firm and occupational mobility after graduation," Oxford Economic Papers, Oxford University Press, vol. 67(4), pages 1057-1077.
    15. Gans, Will & Alberini, Anna & Longo, Alberto, 2013. "Smart meter devices and the effect of feedback on residential electricity consumption: Evidence from a natural experiment in Northern Ireland," Energy Economics, Elsevier, vol. 36(C), pages 729-743.
    16. Peter Huber & Ulugbek Rahimov, 2017. "The Self-Selection of Workers to the Formal and Informal in Transition Economies: Evidence from Tajikistan," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 67(2), pages 140-164, April.
    17. Masamune Iwasawa & Mitsuo Inada & Seiichi Fukui, 2014. "How Migrant Heterogeneity Influences the Effect of Remittances on Educational Expenditure:Empirical Evidence from the Cambodian Socio-Economic Survey," KIER Working Papers 898, Kyoto University, Institute of Economic Research.
    18. Mauro Vigani & Jonas Kathage, 2019. "To Risk or Not to Risk? Risk Management and Farm Productivity," American Journal of Agricultural Economics, John Wiley & Sons, vol. 101(5), pages 1432-1454, October.
    19. Eberhard Feess & Michael Gerfin & Gerd Muehlheusser, 2015. "Contracts As Rent‐Seeking Devices: Evidence From German Soccer," Economic Inquiry, Western Economic Association International, vol. 53(1), pages 714-730, January.
    20. Nathan E. Wilso, 2016. "Market Structure as a Determinant of Patient Care Quality," American Journal of Health Economics, MIT Press, vol. 2(2), pages 241-271, Spring.

    More about this item

    Keywords

    procurement; growth accounting; nighttime lights; investment; electricity; infrastructure; value-for-money;
    All these keywords.

    JEL classification:

    • Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy
    • O1 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development
    • H4 - Public Economics - - Publicly Provided Goods

    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:oxf:oxcrwp:185. 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: Melis Boya (email available below). General contact details of provider: https://edirc.repec.org/data/oxcaruk.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.