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Spillovers impact of institutional and economic factors in energy intensity

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  • Rafael Alvarado
  • Cristian Ortiz
  • Lizeth Cuesta
  • Brayan Tillaguango

Abstract

Previous literature does not incorporate the spillover effects of institutional factors in the analysis of the determinants of energy intensity. This research aims to empirically examine the impact of institutional and economic factors on energy intensity using spatial panel data models. Specifically, the institutional factors included are civil liberties, political corruption, and women's political empowerment. We find robust evidence that there are spillover effects from regressors on the energy intensity of countries. We find that the index of civil liberties, political corruption, and women's political empowerment reduce energy intensity. In addition, we find robust evidence that real output per capita and oil price reduce energy intensity, while manufacturing industry increase it. Our results indicate that manufacturing activity requires greater attention from policymakers and academics to mitigate the harmful aspects of energy intensity. Likewise, our results constitute a new look at the approach to mechanisms to reduce energy intensity to achieve sustainable economic development consistent with Sustainable Development Goals 7 and 12.

Suggested Citation

  • Rafael Alvarado & Cristian Ortiz & Lizeth Cuesta & Brayan Tillaguango, 2023. "Spillovers impact of institutional and economic factors in energy intensity," Sustainable Development, John Wiley & Sons, Ltd., vol. 31(3), pages 1805-1823, June.
  • Handle: RePEc:wly:sustdv:v:31:y:2023:i:3:p:1805-1823
    DOI: 10.1002/sd.2485
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    as
    1. Lin, Boqiang & Xu, Mengmeng, 2019. "Quantitative assessment of factors affecting energy intensity from sector, region and time perspectives using decomposition method: A case of China’s metallurgical industry," Energy, Elsevier, vol. 189(C).
    2. Fuhai Hong & Tat-How Teh, 2019. "Bureaucratic Shirking, Corruption, and Firms’ Environmental Investment and Abatement," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 74(2), pages 505-538, October.
    3. Hausman, Jerry A & Taylor, William E, 1981. "Panel Data and Unobservable Individual Effects," Econometrica, Econometric Society, vol. 49(6), pages 1377-1398, November.
    4. Swamy, Anand & Knack, Stephen & Lee, Young & Azfar, Omar, 2001. "Gender and corruption," Journal of Development Economics, Elsevier, vol. 64(1), pages 25-55, February.
    5. Samargandi, Nahla, 2019. "Energy intensity and its determinants in OPEC countries," Energy, Elsevier, vol. 186(C).
    6. Löschel, Andreas & Pothen, Frank & Schymura, Michael, 2015. "Peeling the onion: Analyzing aggregate, national and sectoral energy intensity in the European Union," Energy Economics, Elsevier, vol. 52(S1), pages 63-75.
    7. Massimo Filippini & Lester C. Hunt, 2011. "Energy Demand and Energy Efficiency in the OECD Countries: A Stochastic Demand Frontier Approach," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 59-80.
    8. Hausman, Jerry, 2015. "Specification tests in econometrics," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 38(2), pages 112-134.
    9. Lin, Boqiang & Chen, Yu, 2019. "Will economic infrastructure development affect the energy intensity of China's manufacturing industry?," Energy Policy, Elsevier, vol. 132(C), pages 122-131.
    10. Tao Tang & Lizeth Cuesta & Brayan Tillaguango & Rafael Alvarado & Abdul Rehman & Diana Bravo-Benavides & Natalia Zárate, 2022. "Causal Link between Technological Innovation and Inequality Moderated by Public Spending, Manufacturing, Agricultural Employment, and Export Diversification," Sustainability, MDPI, vol. 14(14), pages 1-25, July.
    11. Chen, Feng-Wen & Tan, Yulu & Chen, Fengzhang & Wu, Yong-Qiu, 2021. "Enhancing or suppressing: The effect of labor costs on energy intensity in emerging economies," Energy, Elsevier, vol. 214(C).
    12. Chang, Ming-Chung, 2014. "Energy intensity, target level of energy intensity, and room for improvement in energy intensity: An application to the study of regions in the EU," Energy Policy, Elsevier, vol. 67(C), pages 648-655.
    13. Zha, Jianping & Tan, Ting & Fan, Rong & Xu, Han & Ma, Siqi, 2020. "How to reduce energy intensity to achieve sustainable development of China's transport sector? A cross-regional comparison analysis," Socio-Economic Planning Sciences, Elsevier, vol. 71(C).
    14. Liu, Luyao & Bai, Feifei & Su, Chenyu & Ma, Cuiping & Yan, Ruifeng & Li, Hailong & Sun, Qie & Wennersten, Ronald, 2022. "Forecasting the occurrence of extreme electricity prices using a multivariate logistic regression model," Energy, Elsevier, vol. 247(C).
    15. Agyarko, Kofi A. & Opoku, Richard & Van Buskirk, Robert, 2020. "Removing barriers and promoting demand-side energy efficiency in households in Sub-Saharan Africa: A case study in Ghana," Energy Policy, Elsevier, vol. 137(C).
    16. Abdul Rehman & Magdalena Radulescu & Laura Mariana Cismas & Rafael Alvarado & Carmen Gabriela Secara & Claudia Tolea, 2022. "Urbanization, Economic Development, and Environmental Degradation: Investigating the Role of Renewable Energy Use," Sustainability, MDPI, vol. 14(15), pages 1-14, July.
    17. Torrie, Ralph D. & Stone, Christopher & Layzell, David B., 2016. "Understanding energy systems change in Canada: 1. Decomposition of total energy intensity," Energy Economics, Elsevier, vol. 56(C), pages 101-106.
    18. Jiang, Lei & Folmer, Henk & Ji, Minhe, 2014. "The drivers of energy intensity in China: A spatial panel data approach," China Economic Review, Elsevier, vol. 31(C), pages 351-360.
    19. Díaz, Antonia & Marrero, Gustavo A. & Puch, Luis A. & Rodríguez, Jesús, 2019. "Economic growth, energy intensity and the energy mix," Energy Economics, Elsevier, vol. 81(C), pages 1056-1077.
    20. Yan, Junna & Su, Bin, 2020. "What drive the changes in China's energy consumption and intensity during 12th Five-Year Plan period?," Energy Policy, Elsevier, vol. 140(C).
    21. Anselin, Luc, 2002. "Under the hood : Issues in the specification and interpretation of spatial regression models," Agricultural Economics, Blackwell, vol. 27(3), pages 247-267, November.
    22. Jun, Wen & Mughal, Nafeesa & Zhao, Jin & Shabbir, Malik Shahzad & Niedbała, Gniewko & Jain, Vipin & Anwar, Ahsan, 2021. "Does globalization matter for environmental degradation? Nexus among energy consumption, economic growth, and carbon dioxide emission," Energy Policy, Elsevier, vol. 153(C).
    23. Pan, Xiongfeng & Uddin, Md. Kamal & Saima, Umme & Jiao, Zhiming & Han, Cuicui, 2019. "How do industrialization and trade openness influence energy intensity? Evidence from a path model in case of Bangladesh," Energy Policy, Elsevier, vol. 133(C).
    24. Zeng, Lin & Xu, Ming & Liang, Sai & Zeng, Siyu & Zhang, Tianzhu, 2014. "Revisiting drivers of energy intensity in China during 1997–2007: A structural decomposition analysis," Energy Policy, Elsevier, vol. 67(C), pages 640-647.
    25. Alvarado, Rafael & Tillaguango, Brayan & Murshed, Muntasir & Ochoa-Moreno, Santiago & Rehman, Abdul & Işık, Cem & Alvarado-Espejo, Johana, 2022. "Impact of the informal economy on the ecological footprint: The role of urban concentration and globalization," Economic Analysis and Policy, Elsevier, vol. 75(C), pages 750-767.
    26. Zhou, Xiaoyong & Zhou, Dequn & Wang, Qunwei, 2018. "How does information and communication technology affect China's energy intensity? A three-tier structural decomposition analysis," Energy, Elsevier, vol. 151(C), pages 748-759.
    27. Huang, Junbing & Lai, Yali & Wang, Yajun & Hao, Yu, 2020. "Energy-saving research and development activities and energy intensity in China: A regional comparison perspective," Energy, Elsevier, vol. 213(C).
    28. Mavisakalyan, Astghik & Tarverdi, Yashar, 2019. "Gender and climate change: Do female parliamentarians make difference?," European Journal of Political Economy, Elsevier, vol. 56(C), pages 151-164.
    29. Ponce, Pablo & Alvarado, Rafael & Ponce, Katerine & Alvarado, Raquel & Granda, Danny & Yaguana, Karen, 2019. "Green returns of labor income and human capital: Empirical evidence of the environmental behavior of households in developing countries," Ecological Economics, Elsevier, vol. 160(C), pages 105-113.
    30. Lee, Chien-Chiang & Ho, Shan-Ju, 2022. "Impacts of export diversification on energy intensity, renewable energy, and waste energy in 121 countries: Do environmental regulations matter?," Renewable Energy, Elsevier, vol. 199(C), pages 1510-1522.
    31. Wang, Kai-Hua & Liu, Lu & Zhong, Yifan & Lobonţ, Oana-Ramona, 2022. "Economic policy uncertainty and carbon emission trading market: A China's perspective," Energy Economics, Elsevier, vol. 115(C).
    32. Huang, Junbing & Chen, Xiang, 2020. "Domestic R&D activities, technology absorption ability, and energy intensity in China," Energy Policy, Elsevier, vol. 138(C).
    33. Liddle, Brantley & Huntington, Hillard, 2021. "There’s Technology Improvement, but is there Economy-wide Energy Leapfrogging? A Country Panel Analysis," World Development, Elsevier, vol. 140(C).
    34. Dincer, Oguzhan C. & Fredriksson, Per G., 2018. "Corruption and environmental regulatory policy in the United States: Does trust matter?," Resource and Energy Economics, Elsevier, vol. 54(C), pages 212-225.
    35. Zhike Lv & Chao Deng, 2019. "Does women's political empowerment matter for improving the environment? A heterogeneous dynamic panel analysis," Sustainable Development, John Wiley & Sons, Ltd., vol. 27(4), pages 603-612, July.
    36. Li, Meng & Gao, Yuning & Liu, Shenglong, 2020. "China’s energy intensity change in 1997–2015: Non-vertical adjusted structural decomposition analysis based on input-output tables," Structural Change and Economic Dynamics, Elsevier, vol. 53(C), pages 222-236.
    37. Brantley Liddle and Hillard Huntington, 2020. "Revisiting the Income Elasticity of Energy Consumption: A Heterogeneous, Common Factor, Dynamic OECD & non-OECD Country Panel Analysis," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 207-230.
    38. Huang, Junbing & Du, Dan & Tao, Qizhi, 2017. "An analysis of technological factors and energy intensity in China," Energy Policy, Elsevier, vol. 109(C), pages 1-9.
    39. Lin, Boqiang & Wang, Miao, 2021. "What drives energy intensity fall in China? Evidence from a meta-frontier approach," Applied Energy, Elsevier, vol. 281(C).
    40. Karimu, Amin & Brännlund, Runar & Lundgren, Tommy & Söderholm, Patrik, 2017. "Energy intensity and convergence in Swedish industry: A combined econometric and decomposition analysis," Energy Economics, Elsevier, vol. 62(C), pages 347-356.
    41. J. Elhorst, 2010. "Applied Spatial Econometrics: Raising the Bar," Spatial Economic Analysis, Taylor & Francis Journals, vol. 5(1), pages 9-28.
    42. Chakraborty, Saptorshee Kanto & Mazzanti, Massimiliano, 2020. "Energy intensity and green energy innovation: Checking heterogeneous country effects in the OECD," Structural Change and Economic Dynamics, Elsevier, vol. 52(C), pages 328-343.
    43. Chontanawat, Jaruwan & Wiboonchutikula, Paitoon & Buddhivanich, Atinat, 2014. "Decomposition analysis of the change of energy intensity of manufacturing industries in Thailand," Energy, Elsevier, vol. 77(C), pages 171-182.
    44. Azhgaliyeva, Dina & Liu, Yang & Liddle, Brantley, 2020. "An empirical analysis of energy intensity and the role of policy instruments," Energy Policy, Elsevier, vol. 145(C).
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