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Is energy aid allocated fairly? A global energy vulnerability perspective

Author

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  • Kangyin Dong

    (University of International Business and Economics [Beijing, China])

  • Qingzhe Jiang

    (University of International Business and Economics [Beijing, China])

  • Yang Liu

    (University of International Business and Economics [Beijing, China])

  • Zhiyang Shen

    (LEM - Lille économie management - UMR 9221 - UA - Université d'Artois - UCL - Université catholique de Lille - Université de Lille - CNRS - Centre National de la Recherche Scientifique, IÉSEG School Of Management [Puteaux])

  • Michael Vardanyan

    (LEM - Lille économie management - UMR 9221 - UA - Université d'Artois - UCL - Université catholique de Lille - Université de Lille - CNRS - Centre National de la Recherche Scientifique)

Abstract

The escalating climate change crisis is causing many developing countries to become more vulnerable to energy-related challenges, highlighting the issue of fairness in allocating energy aid. Given this context, it is important to ensure countries that face higher energy vulnerabilities receive a greater share of energy aid funding. This study aims to assess the impact of energy vulnerability on energy aid allocation using a double-hurdle model and a panel of 124 countries from 2002 to 2019. We rely on an index of energy vulnerability to understand the differences in the amount of aid available to different energy-vulnerable recipients, and study the transmission mechanisms underlying this relationship. Our results suggest that the allocation of energy aid has been largely fair. Specifically, energy-vulnerable countries are more likely to be selected as recipients of energy aid during the selection stage, and subsequently receive a greater share of this aid during the allocation stage. However, this effect is heterogeneous and asymmetric. Donors tend to allocate energy aid to countries characterized by relatively low quality of government, low income levels, and limited access to energy assistance. Furthermore, disparities exist in the impact of energy vulnerability on different types of energy support. Specifically, countries with higher energy vulnerability receive a greater proportion of energy policy and energy distribution aid, but are allocated a relatively small share of aid to their non-renewable energy-generation sectors. Additionally, the relationship between energy vulnerability and renewable energy generation aid is not statistically significant. Our results highlight the importance of considering energy vulnerability when allocating energy assistance, and have both scholarly and practical significance. Our findings also have important policy implications for donors by providing guidance on how to promote a fairer allocation of energy aid.

Suggested Citation

  • Kangyin Dong & Qingzhe Jiang & Yang Liu & Zhiyang Shen & Michael Vardanyan, 2024. "Is energy aid allocated fairly? A global energy vulnerability perspective," Post-Print hal-04277505, HAL.
    • Handle: RePEc:hal:journl:hal-04277505
    DOI: 10.1016/j.worlddev.2023.106409
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    as
    1. Liu, Yang & Wang, Jianda & Dong, Kangyin & Taghizadeh-Hesary, Farhad, 2023. "How does natural resource abundance affect green total factor productivity in the era of green finance? Global evidence," Resources Policy, Elsevier, vol. 81(C).
    2. Hansen, Lars Peter, 1982. "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, Econometric Society, vol. 50(4), pages 1029-1054, July.
    3. Axel Dreher & Peter Nunnenkamp & Rainer Thiele, 2008. "Does Aid for Education Educate Children? Evidence from Panel Data," The World Bank Economic Review, World Bank, vol. 22(2), pages 291-314, April.
    4. Laldjebaev, Murodbek & Morreale, Stephen J. & Sovacool, Benjamin K. & Kassam, Karim-Aly S., 2018. "Rethinking energy security and services in practice: National vulnerability and three energy pathways in Tajikistan," Energy Policy, Elsevier, vol. 114(C), pages 39-50.
    5. Kleibergen, Frank & Paap, Richard, 2006. "Generalized reduced rank tests using the singular value decomposition," Journal of Econometrics, Elsevier, vol. 133(1), pages 97-126, July.
    6. David Roodman, 2009. "How to do xtabond2: An introduction to difference and system GMM in Stata," Stata Journal, StataCorp LP, vol. 9(1), pages 86-136, March.
    7. Manning, W. G. & Duan, N. & Rogers, W. H., 1987. "Monte Carlo evidence on the choice between sample selection and two-part models," Journal of Econometrics, Elsevier, vol. 35(1), pages 59-82, May.
    8. Ward, Patrick & Shively, Gerald, 2012. "Vulnerability, Income Growth and Climate Change," World Development, Elsevier, vol. 40(5), pages 916-927.
    9. Michael A. Clemens & Steven Radelet & Rikhil R. Bhavnani & Samuel Bazzi, 2012. "Counting Chickens when they Hatch: Timing and the Effects of Aid on Growth," Economic Journal, Royal Economic Society, vol. 122(561), pages 590-617, June.
    10. Valentine, Scott Victor, 2011. "Emerging symbiosis: Renewable energy and energy security," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(9), pages 4572-4578.
    11. Liao, Chuan & Erbaugh, James T. & Kelly, Allison C. & Agrawal, Arun, 2021. "Clean energy transitions and human well-being outcomes in Lower and Middle Income Countries: A systematic review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 145(C).
    12. Backlund, Sandra & Thollander, Patrik & Palm, Jenny & Ottosson, Mikael, 2012. "Extending the energy efficiency gap," Energy Policy, Elsevier, vol. 51(C), pages 392-396.
    13. Aidy Halimanjaya, 2016. "Allocating climate mitigation finance: a comparative analysis of five major green donors," Journal of Sustainable Finance & Investment, Taylor & Francis Journals, vol. 6(3), pages 161-185, July.
    14. Baurzhan, Saule & Jenkins, Glenn P., 2016. "Off-grid solar PV: Is it an affordable or appropriate solution for rural electrification in Sub-Saharan African countries?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 1405-1418.
    15. Paul Clist & Alessia Isopi & Oliver Morrissey, 2012. "Selectivity on aid modality: Determinants of budget support from multilateral donors," The Review of International Organizations, Springer, vol. 7(3), pages 267-284, September.
    16. Fan, Shengyue & Zha, Shuai & Zhao, Chenxi & Sizheng, Fangyuan & Li, Meihui, 2022. "Using energy vulnerability to measure distributive injustice in rural heating energy reform: A case study of natural gas replacing bulk coal for heating in Gaocheng District, Hebei Province, China," Ecological Economics, Elsevier, vol. 197(C).
    17. Barrett, Sam, 2014. "Subnational Climate Justice? Adaptation Finance Distribution and Climate Vulnerability," World Development, Elsevier, vol. 58(C), pages 130-142.
    18. Stephen R. Bond, 2002. "Dynamic panel data models: a guide to micro data methods and practice," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 1(2), pages 141-162, August.
    19. Huong, Tran Thi Lan & Ha, Le Thanh, 2023. "A comprehensive analysis of the correlation between foreign aid and energy security in emerging countries: Does institutional quality matter?," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 952-968.
    20. Genave, Anna & Blancard, Stéphane & Garabedian, Sabine, 2020. "An assessment of energy vulnerability in Small Island Developing States," Ecological Economics, Elsevier, vol. 171(C).
    21. Cragg, John G, 1971. "Some Statistical Models for Limited Dependent Variables with Application to the Demand for Durable Goods," Econometrica, Econometric Society, vol. 39(5), pages 829-844, September.
    22. Stephen Bond, 2002. "Dynamic panel data models: a guide to microdata methods and practice," CeMMAP working papers 09/02, Institute for Fiscal Studies.
    23. David Dollar & Craig Burnside, 2000. "Aid, Policies, and Growth," American Economic Review, American Economic Association, vol. 90(4), pages 847-868, September.
    24. Simone Juhasz Silva & Douglas Nelson, 2012. "Does Aid Cause Trade? Evidence from an Asymmetric Gravity Model," The World Economy, Wiley Blackwell, vol. 35(5), pages 545-577, May.
    25. Gasser, Patrick, 2020. "A review on energy security indices to compare country performances," Energy Policy, Elsevier, vol. 139(C).
    26. Aldieri, Luigi & Gatto, Andrea & Vinci, Concetto Paolo, 2021. "Evaluation of energy resilience and adaptation policies: An energy efficiency analysis," Energy Policy, Elsevier, vol. 157(C).
    27. James L. Plummer, 1981. "Policy Implications of Energy Vulnerability," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 25-36.
    28. Che, Xiahui & Zhu, Bangzhu & Wang, Ping, 2021. "Assessing global energy poverty: An integrated approach," Energy Policy, Elsevier, vol. 149(C).
    29. Gnansounou, Edgard, 2008. "Assessing the energy vulnerability: Case of industrialised countries," Energy Policy, Elsevier, vol. 36(10), pages 3734-3744, October.
    30. Raghuram G. Rajan & Arvind Subramanian, 2008. "Aid and Growth: What Does the Cross-Country Evidence Really Show?," The Review of Economics and Statistics, MIT Press, vol. 90(4), pages 643-665, November.
    31. Chen Chen & Jessica Hellmann & Lea Berrang-Ford & Ian Noble & Patrick Regan, 2018. "A global assessment of adaptation investment from the perspectives of equity and efficiency," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 23(1), pages 101-122, January.
    32. Zhao, Jun & Jiang, Qingzhe & Dong, Xiucheng & Dong, Kangyin, 2021. "Assessing energy poverty and its effect on CO2 emissions: The case of China," Energy Economics, Elsevier, vol. 97(C).
    33. Sovacool, Benjamin K. & Burke, Matthew & Baker, Lucy & Kotikalapudi, Chaitanya Kumar & Wlokas, Holle, 2017. "New frontiers and conceptual frameworks for energy justice," Energy Policy, Elsevier, vol. 105(C), pages 677-691.
    34. Hansen, Henrik & Tarp, Finn, 2001. "Aid and growth regressions," Journal of Development Economics, Elsevier, vol. 64(2), pages 547-570, April.
    35. Sambit Bhattacharyya & Maurizio Intartaglia & Andy McKay, 2018. "Does energy‐related aid affect emissions? Evidence from a global dataset," Review of Development Economics, Wiley Blackwell, vol. 22(3), pages 1166-1194, August.
    36. Mahalik, Mantu Kumar & Villanthenkodath, Muhammed Ashiq & Mallick, Hrushikesh & Gupta, Monika, 2021. "Assessing the effectiveness of total foreign aid and foreign energy aid inflows on environmental quality in India," Energy Policy, Elsevier, vol. 149(C).
    37. Jung Eun Kim, 2019. "Sustainable energy transition in developing countries: the role of energy aid donors," Climate Policy, Taylor & Francis Journals, vol. 19(1), pages 1-16, January.
    38. Stephen Bond, 2002. "Dynamic panel data models: a guide to microdata methods and practice," CeMMAP working papers CWP09/02, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    39. Dong, Kangyin & Dong, Xiucheng & Jiang, Qingzhe & Zhao, Jun, 2021. "Assessing energy resilience and its greenhouse effect: A global perspective," Energy Economics, Elsevier, vol. 104(C).
    40. Kathryn A. A. O. Assefuah & Nthabiseng Moleko & Joshua Yindenaba Abor, 2022. "Pension Markets in Africa," Palgrave Macmillan Studies in Banking and Financial Institutions, in: Joshua Yindenaba Abor & Charles Komla Delali Adjasi (ed.), The Economics of Banking and Finance in Africa, chapter 0, pages 861-894, Palgrave Macmillan.
    41. Ahmadi, Somayeh & Saboohi, Yadollah & Vakili, Ali, 2021. "Frameworks, quantitative indicators, characters, and modeling approaches to analysis of energy system resilience: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 144(C).
    42. M. Kabir Hassan & Aishath Muneeza & Karamo N.M. Sonko, 2022. "Islamic finance in Africa," Chapters, in: M. K. Hassan & Aishath Muneeza & Karamo N.M. Sonko (ed.), Islamic Finance in Africa, chapter 1, pages 2-13, Edward Elgar Publishing.
    43. Sinclear R. Ndemewah & Martin R. W. Hiebl, 2022. "Management Accounting Research on Africa," European Accounting Review, Taylor & Francis Journals, vol. 31(4), pages 1029-1057, August.
    44. Makeleni, Mphumzi & Sheefeni, Johannes P.S., 2022. "Life Insurance and Economic Growth in South Africa," Economia Internazionale / International Economics, Camera di Commercio Industria Artigianato Agricoltura di Genova, vol. 75(2), pages 213-240.
    45. Ioannidis, Alexis & Chalvatzis, Konstantinos J. & Li, Xin & Notton, Gilles & Stephanides, Phedeas, 2019. "The case for islands’ energy vulnerability: Electricity supply diversity in 44 global islands," Renewable Energy, Elsevier, vol. 143(C), pages 440-452.
    46. Thomson, Harriet & Snell, Carolyn, 2013. "Quantifying the prevalence of fuel poverty across the European Union," Energy Policy, Elsevier, vol. 52(C), pages 563-572.
    47. Pan, Yuling & Dong, Feng, 2022. "Design of energy use rights trading policy from the perspective of energy vulnerability," Energy Policy, Elsevier, vol. 160(C).
    48. Carola Betzold & Florian Weiler, 2017. "Allocation of aid for adaptation to climate change: Do vulnerable countries receive more support?," International Environmental Agreements: Politics, Law and Economics, Springer, vol. 17(1), pages 17-36, February.
    49. Abdiweli Ali & Hodan Isse, 2006. "An Empirical Analysis of the Determinants of Foreign Aid: A Panel Approach," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 12(2), pages 241-250, May.
    50. Maamoun, Nada & Kennedy, Ryan & Jin, Xiaomeng & Urpelainen, Johannes, 2020. "Identifying coal-fired power plants for early retirement," Renewable and Sustainable Energy Reviews, Elsevier, vol. 126(C).
    51. Weiler, Florian & Klöck, Carola & Dornan, Matthew, 2018. "Vulnerability, good governance, or donor interests? The allocation of aid for climate change adaptation," World Development, Elsevier, vol. 104(C), pages 65-77.
    52. Kim, Jung Eun, 2018. "Technological capacity building through energy aid: Empirical evidence from renewable energy sector," Energy Policy, Elsevier, vol. 122(C), pages 449-458.
    53. Monyei, Chukwuka G. & Adewumi, Aderemi O. & Obolo, Michael O. & Sajou, Barka, 2018. "Nigeria's energy poverty: Insights and implications for smart policies and framework towards a smart Nigeria electricity network," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 1582-1601.
    54. Edomah, Norbert & Foulds, Chris & Jones, Aled, 2017. "Policy making and energy infrastructure change: A Nigerian case study of energy governance in the electricity sector," Energy Policy, Elsevier, vol. 102(C), pages 476-485.
    55. Gupta, Eshita, 2008. "Oil vulnerability index of oil-importing countries," Energy Policy, Elsevier, vol. 36(3), pages 1195-1211, March.
    56. Halkos, George E. & Gkampoura, Eleni-Christina, 2021. "Evaluating the effect of economic crisis on energy poverty in Europe," Renewable and Sustainable Energy Reviews, Elsevier, vol. 144(C).
    57. Kazimierczuk, Agnieszka H., 2019. "Wind energy in Kenya: A status and policy framework review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 107(C), pages 434-445.
    58. Katharina Michaelowa & Anke Weber, 2006. "Chapter 18 Aid Effectiveness in the Education Sector: A Dynamic Panel Analysis," Frontiers of Economics and Globalization, in: Theory and Practice of Foreign Aid, pages 357-385, Emerald Group Publishing Limited.
    59. Masako Ikegami & Zijian Wang, 2021. "Does energy aid reduce CO2 emission intensities in developing countries?," Journal of Environmental Economics and Policy, Taylor & Francis Journals, vol. 10(4), pages 343-358, October.
    60. repec:kap:iaecre:v:12:y:2006:i:2:p:241-250 is not listed on IDEAS
    61. Bettina Kretschmer & Michael Hübler & Peter Nunnenkamp, 2013. "Does Foreign Aid Reduce Energy And Carbon Intensities Of Developing Economies?," Journal of International Development, John Wiley & Sons, Ltd., vol. 25(1), pages 67-91, January.
    62. Clist, Paul, 2011. "25Years of Aid Allocation Practice: Whither Selectivity?," World Development, Elsevier, vol. 39(10), pages 1724-1734.
    63. Anna Genave, 2019. "Energy vulnerability in the Southwest Indian Ocean islands," Post-Print hal-03544904, HAL.
    64. Liu, Yang & Dong, Kangyin & Jiang, Qingzhe, 2023. "Assessing energy vulnerability and its impact on carbon emissions: A global case," Energy Economics, Elsevier, vol. 119(C).
    65. Yuxin Zhu & Dazuo Tian & Feng Yan, 2020. "Effectiveness of Entropy Weight Method in Decision-Making," Mathematical Problems in Engineering, Hindawi, vol. 2020, pages 1-5, March.
    66. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    67. Kaygusuz, K., 2011. "Energy services and energy poverty for sustainable rural development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(2), pages 936-947, February.
    68. Jacques Percebois, 2007. "Energy vulnerability and its management," Post-Print hal-03060922, HAL.
    69. Windmeijer, Frank, 2005. "A finite sample correction for the variance of linear efficient two-step GMM estimators," Journal of Econometrics, Elsevier, vol. 126(1), pages 25-51, May.
    70. Gatto, Andrea & Drago, Carlo, 2020. "Measuring and modeling energy resilience," Ecological Economics, Elsevier, vol. 172(C).
    71. de Vries, Bert J.M. & van Vuuren, Detlef P. & Hoogwijk, Monique M., 2007. "Renewable energy sources: Their global potential for the first-half of the 21st century at a global level: An integrated approach," Energy Policy, Elsevier, vol. 35(4), pages 2590-2610, April.
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    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • F35 - International Economics - - International Finance - - - Foreign Aid
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

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