Politická ekonomie 2024, Volume 72(2), Special Issue: 375-402 | DOI: 10.18267/j.polek.1439

Role of Corruption and Governance Quality on Green Electricity Transition: Learning Through the Lens of Economic Complexity and Sustainability

Ziya A, Xiaochuan Guo, Syed Ali Raza
Ziya A (co-first author): School of Economics and Management, Inner Mongolia University, Hohhot, Inner Mongolia Autonomous Region, China
Xiaochuan Guo (co-first author): School of Management, Shanghai University, Shanghai, China
Syed Ali Raza (corresponding author): Department of Business Administration, IQRA University Karachi, Pakistan; Adnan Kassar School of Business, Lebanese American University, Beirut, Lebanon

The transition towards green and clean energy sources is the need of the day and a key target for several economies across the globe. Besides, emerging economies also aim to minimize fossil fuel dependence, promoting the adoption of green electricity. However, several obstacles, including governance, corruption and economic-related issues, are forthcoming in attaining sustainability in the context of green energy. This research examines seven emerging economies from 1990 to 2020. The study uses novel panel diagnostic assessment approaches, which validate the slope heterogeneity and cross-sectional dependence and confirm the cointegration between the study variables. Employing the method of moments quantile regression, this research concludes that corruption and governance quality adversely influence the transition to green electricity. On the other hand, the influence of economic complexity, research and development expenditures and per capita GDP is positive and significant. These results are robust as validated by estimators such as mean group and fully modified ordinary least squares. Furthermore, a two-way Granger causality exists between regressors and green energy transition, which allows this research to offer appropriate policy implications. This study recommends improving institutions, strengthening bureaucracy, enhancing accountability and investing in research and development, green technologies and human capital to encourage green energy transition.

Keywords: Green energy transition, governance quality, corruption, economic complexity, green electricity, Emerging Seven
JEL classification: P48, Q28, Q47

Vloženo: 1. prosinec 2023; Revidováno: 12. únor 2024; Přijato: 29. únor 2024; Zveřejněno online: 18. březen 2024; Zveřejněno: 1. květen 2024  Zobrazit citaci

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Ziya, A., Guo, X., & Raza, S.A. (2024). Role of Corruption and Governance Quality on Green Electricity Transition: Learning Through the Lens of Economic Complexity and Sustainability. Politická ekonomie72(Spec.issue), 375-402. doi: 10.18267/j.polek.1439
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Reference

  1. Achuo, E., Kakeu, P., Asongu, S. (2023). Financial Development, human capital, and energy transition: A global comparative analysis. EDWRG Working Paper No. 23/005. Přejít k původnímu zdroji...
  2. Bellakhal, R., Kheder, S. B., Haffoudhi, H. (2019). Governance and renewable energy investment in MENA countries: How does trade matter? Energy Economics, 84(C), 104541, https://doi.org/10.1016/j.eneco.2019.104541 Přejít k původnímu zdroji...
  3. Breitung, J. (2001). The local power of some unit root tests for panel data. In: Baltagi, B. H., Fomby, T. B., Carter Hill, R. Nonstationary panels, panel cointegration, and dynamic panels, 161-177. Leeds: Emerald Group Publishing Limited. https://doi.org/10.1016/S0731-9053(00)15006-6 Přejít k původnímu zdroji...
  4. Caglar, A. E., Ulug, M. (2022). The role of government spending on energy efficiency R&D budgets in the green transformation process: insight from the top-five countries. Environmental Science and Pollution Research, 29(50), 76472-76484. https://doi.org/10.1007/s11356-022-21133-w Přejít k původnímu zdroji...
  5. Can, M., Ahmed, Z. (2023). Towards sustainable development in the European Union countries: Does economic complexity affect renewable and nonrenewable energy consumption? Sustainable Development, 31(1), 439-451. https://doi.org/10.1002/sd.2402 Přejít k původnímu zdroji...
  6. Chan, T., Ford, L., Higham, C., et al. (2023). Corruption and integrity risks in climate solutions: an emerging global challenge. LSE Policy Report 10/23.
  7. Chen, X., Chen, G., Lin, M., et al. (2022). How does anti-corruption affect enterprise green innovation in China's energy-intensive industries? Environmental Geochemistry and Health, 44(9), 2919-2942. https://doi.org/10.1007/s10653-021-01125-4 Přejít k původnímu zdroji...
  8. Chu, L. K. (2023). The role of energy security and economic complexity in renewable energy development: evidence from G7 countries. Environmental Science and Pollution Research, 30(19), 56073-56093. https://doi.org/10.1007/s11356-023-26208-w Přejít k původnímu zdroji...
  9. Chu, L. K., Ghosh, S., Doğan, B., et al. (2023). Energy security as the new determinant of renewable energy: the role of economic complexity in top energy users. Energy, 263(C), 125799. https://doi.org/10.1016/j.energy.2022.125799 Přejít k původnímu zdroji...
  10. Dai, J., Ahmed, Z., Sinha, A., et al. (2023). Sustainable green electricity, technological innovation, and ecological footprint: Does democratic accountability moderate the nexus? Utilities Policy, 82, 101541. https://doi.org/10.1016/j.jup.2023.101541 Přejít k původnímu zdroji...
  11. Dauda, L., Long, X., Mensah, C. N., et al. (2019). The effects of economic growth and innovation on CO2 emissions in different regions. Environmental Science and Pollution Research, 26, 15028-15038. https://doi.org/10.1007/s11356-019-04891-y Přejít k původnímu zdroji...
  12. Degbedji, D. F., Akpa, A. F., Chabossou, A. F., et al. (2024). Institutional quality and green economic growth in West African economic and monetary union. Innovation and Green Development, 3(1), 100108. https://doi.org/10.1016/j.igd.2023.100108 Přejít k původnímu zdroji...
  13. Du, J., Shen, Z., Song, M., et al. (2023). The role of green financing in facilitating renewable energy transition in China: Perspectives from energy governance, environmental regulation, and market reforms. Energy Economics, 120, 106595. https://doi.org/10.1016/j.eneco.2023.106595 Přejít k původnímu zdroji...
  14. Dumitrescu, E. I., Hurlin, C. (2012). Testing for Granger non-causality in heterogeneous panels. Economic Modelling, 29(4), 1450-1460. https://doi.org/10.1016/j.econmod.2012.02.014 Přejít k původnímu zdroji...
  15. Ergun, S. J., Rivas, M. F. (2023). Does higher income lead to more renewable energy consumption? Evidence from emerging-Asian countries. Heliyon, 9(1). https://doi.org/10.1016/j.heliyon.2023.e13049 Přejít k původnímu zdroji...
  16. Fatima, N., Li, Y., Ahmad, M., et al. (2019). Analyzing long-term empirical interactions between renewable energy generation, energy use, human capital, and economic performance in Pakistan. Energy, Sustainability and Society, 9(1), 42. https://doi.org/10.1186/s13705-019-0228-x Přejít k původnímu zdroji...
  17. Feng, Y., Zhao, T. (2022). Exploring the Nonlinear Relationship between Renewable Energy Consumption and Economic Growth in the Context of Global Climate Change. International Journal of Environmental Research and Public Health, 19(23), 15647. https://doi.org/10.3390/ijerph192315647 Přejít k původnímu zdroji...
  18. Gennaioli, C., Tavoni, M. (2016). Clean or dirty energy: Evidence of corruption in the renewable energy sector. Public Choice, 166, 261-290. https://doi.org/10.1007/s11127-016-0322-y Přejít k původnímu zdroji...
  19. Gu, Xiao, Gu, Xiaoh., Wang, W., et al. (2024). China's Political Risk and Transition to Cleaner Energy: Evaluating the Role of Political Economy for COP27. Politická ekonomie, 72(2), Special Issue, Forthcoming article. ttps://doi.org/10.18267/j.polek.1414 Přejít k původnímu zdroji...
  20. Halilbegović, S., Pekmez, Z., Rehman, A. (2023). Modeling the Nexus of Renewable and Nonrenewable Energy Consumption and Economic Progress in Southeastern Europe: A Panel Data Analysis. Sustainability, 15(12), 9413. https://doi.org/10.3390/su15129413 Přejít k původnímu zdroji...
  21. Hamid, I., Alam, M. S., Kanwal, A., et al. (2022). Decarbonization pathways: the roles of foreign direct investments, governance, democracy, economic growth, and renewable energy transition. Environmental Science and Pollution Research, 29(33), 49816-49831. https://doi.org/10.1007/s11356-022-18935-3 Přejít k původnímu zdroji...
  22. Hanck, C. (2009). A meta analytic approach to testing for panel cointegration. Communications in Statistics - Simulation and Computation, 38(5), 1051-1070. https://doi.org/10.1080/03610910902750039 Přejít k původnímu zdroji...
  23. Hao, C. H. (2023). Does governance play any role in the energy transition? Novel evidence from BRICS economies. Environmental Science and Pollution Research, 30(19), 55158- 55170. https://doi.org/10.1007/s11356-023-25881-1 Přejít k původnímu zdroji...
  24. Hidalgo, C. A., Hausmann, R. (2009). The building blocks of economic complexity. Proceedings of the National Academy of Sciences, 106(26), 10570-10575. https://doi.org/10.1073/pnas.0900943106 Přejít k původnímu zdroji...
  25. Huang, Y., Ahmad, M., Ali, S., et al. (2022). Does eco-innovation promote cleaner energy? Analyzing the role of energy price and human capital. Energy, 239, 122268. https://doi.org/10.1016/j.energy.2021.122268 Přejít k původnímu zdroji...
  26. Im, K. S., Pasaran, M. H., Shin, Y. (1995). Testing for unit roots in heterogeneous panels. Cambridge Working Paper No. 9526.
  27. Inglesi-Lotz, R. (2016). The impact of renewable energy consumption to economic growth: A panel data application. Energy Economics, 53, 58-63. https://doi.org/10.1016/j.eneco.2015.01.003 Přejít k původnímu zdroji...
  28. Jarque, C. M., Bera, A. K. (1987). A test for normality of observations and regression residuals. International Statistical Review / Revue Internationale de Statistique, 55(2), 163-172. https://doi.org/10.2307/1403192 Přejít k původnímu zdroji...
  29. Kao, C. (1999). Spurious regression and residual-based tests for cointegration in panel data. Journal of Econometrics, 90(1), 1-44. https://doi.org/10.1016/S0304-4076(98)00023-2 Přejít k původnímu zdroji...
  30. Khan, Z., Malik, M. Y., Latif, K., et al. (2020). Heterogeneous effect of eco-innovation and human capital on renewable & nonrenewable energy consumption: Disaggregate analysis for G-7 countries. Energy, 209(C), 118405. https://doi.org/10.1016/j.energy.2020.118405 Přejít k původnímu zdroji...
  31. Kiliç Depren, S., Erdogan, S., Tevfik Kartal, M., et al. (2024). Effect of Political Stability, Geopolitical Risk and R&D Investments on Environmental Sustainability: Evidence from European Countries by Novel Quantile Models. Politická ekonomie, 72. https://doi.org/10.18267/j.polek.1413 Přejít k původnímu zdroji...
  32. Knack, S., Keefer, P. (1995). Institutions and economic performance: Cross-country tests using alternative institutional measures. Economics & Politics, 7(3), 207-227. https://doi.org/10.1111/j.1468-0343.1995.tb00111.x Přejít k původnímu zdroji...
  33. Kwilinski, A., Lyulyov, O., Pimonenko, T. (2023). Inclusive Economic Growth: Relationship between Energy and Governance Efficiency. Energies, 16(6), 2511. https://doi.org/10.3390/en16062511 Přejít k původnímu zdroji...
  34. Lambsdorff, J. G. (2007). Consequences and causes of corruption - What do we know from a cross-section of countries? In: Rose-Ackerman, S. International handbook on the economics of corruption, 3-52. Cheltenham: Edward Elgar Publishing. https://doi.org/10.4337/9781847203106.00007 Přejít k původnímu zdroji...
  35. Larsson, R., Lyhagen, J., Löthgren, M. (2001). Likelihood-based cointegration tests in heterogeneous panels. Econometrics Journal, 4(1), 109-142. Přejít k původnímu zdroji...
  36. Levin, A., Lin, C. F., Chu, C. S. J. (2002). Unit root tests in panel data: asymptotic and finite-sample properties. Journal of Econometrics, 108(1), 1-24. https://doi.org/10.1016/S0304-4076(01)00098-7 Přejít k původnímu zdroji...
  37. Li, W., Cao, N., Xiang, Z. (2023). Drivers of renewable energy transition: The role of ICT, human development, financialization, and R&D investment in China. Renewable Energy, 206(C), 441-450. https://doi.org/10.1016/j.renene.2023.02.027 Přejít k původnímu zdroji...
  38. Liao, C., Erbaugh, J. T., Kelly, A. C., et al. (2021). Clean energy transitions and human well-being outcomes in Lower and Middle-Income Countries: A systematic review. Renewable and Sustainable Energy Reviews, 145, 111063. https://doi.org/10.1016/j.rser.2021.111063 Přejít k původnímu zdroji...
  39. Liu, D., Wang, G., Sun, C., et al. (2023). An analysis of the effects of human capital on green growth: effects and transmission channels. Environmental Science and Pollution Research, 30(4), 10149-10156. https://doi.org/10.1007/s11356-022-22587-8 Přejít k původnímu zdroji...
  40. Machado, J. A., Silva, J. S. (2019). Quantiles via moments. Journal of Econometrics, 213(1), 145-173. https://doi.org/10.1016/j.jeconom.2019.04.009 Přejít k původnímu zdroji...
  41. Maddala, G. S., Wu, S. (1999). A comparative study of unit root tests with panel data and a new simple test. Oxford Bulletin of Economics and Statistics, 61(S1), 631-652. https://doi.org/10.1111/1468-0084.0610s1631 Přejít k původnímu zdroji...
  42. Mahmood, H., Tanveer, M., Furqan, M. (2021). The rule of law, corruption control, governance, and economic growth in managing renewable and nonrenewable energy consumption in South Asia. International Journal of Environmental Research and Public Health, 18(20), 10637. https://doi.org/10.3390/ijerph182010637 Přejít k původnímu zdroji...
  43. Murshed, M., Saboori, B., Madaleno, M., et al. (2022). Exploring the nexuses between nuclear energy, renewable energy, and carbon dioxide emissions: the role of economic complexity in the G7 countries. Renewable Energy, 190, 664-674. https://doi.org/10.1016/j.renene.2022.03.121 Přejít k původnímu zdroji...
  44. Ozturk, I., Al-Mulali, U., Solarin, S. A. (2019). The control of corruption and energy efficiency relationship: an empirical note. Environmental Science and Pollution Research, 26(17), 17277-17283. https://doi.org/10.1007/s11356-019-05016-1 Přejít k původnímu zdroji...
  45. Paramati, S. R., Shahzad, U., Doğan, B. (2022). The role of environmental technology for energy demand and energy efficiency: Evidence from OECD countries. Renewable and Sustainable Energy Reviews, 153(C), 111735. https://doi.org/10.1016/j.rser.2021.111735 Přejít k původnímu zdroji...
  46. Pedroni, P. (2004). Panel cointegration: asymptotic and finite sample properties of pooled time series tests with an application to the PPP hypothesis. Econometric Theory, 20(3), 597-625. Přejít k původnímu zdroji...
  47. Pesaran, M. H., Yamagata, T. (2008). Testing slope homogeneity in large panels. Journal of Econometrics, 142(1), 50-93. https://doi.org/10.1016/j.jeconom.2007.05.010 Přejít k původnímu zdroji...
  48. Pesaran, M. H. (2004). General diagnostic tests for cross-sectional dependence in panels. IZA Discussion Paper No. 1240. Přejít k původnímu zdroji...
  49. Phillips, P. C., Perron, P. (1988). Testing for a unit root in time series regression. Biometrika, 75(2), 335-346. https://doi.org/10.2307/2336182 Přejít k původnímu zdroji...
  50. Qi, X., Guo, Y., Guo, P., et al. (2022). Do subsidies and R&D investment boost energy transition performance? Evidence from Chinese renewable energy firms. Energy Policy, 164, 112909. https://doi.org/10.1016/j.enpol.2022.112909 Přejít k původnímu zdroji...
  51. Ren, S., Hao, Y., Wu, H. (2021). Government corruption, market segmentation, and renewable energy technology innovation: Evidence from China. Journal of Environmental Management, 300, 113686. https://doi.org/10.1016/j.jenvman.2021.113686 Přejít k původnímu zdroji...
  52. Ross, M. (2006). A closer look at oil, diamonds, and civil war. Annual Review of Political Science, 9, 265-300. https://doi.org/10.1146/annurev.polisci.9.081304.161338 Přejít k původnímu zdroji...
  53. Saadaoui, H., Chtourou, N. (2022). Do institutional quality, financial development, and economic growth improve renewable energy transition? Some Evidence from Tunisia. Journal of the Knowledge Economy, 14, 2927-2958. https://doi.org/10.1007/s13132-022-00999-8 Přejít k původnímu zdroji...
  54. Saba, C. S. and Biyase, M. (2022). Determinants of renewable electricity development in Europe: Do Governance indicators and institutional quality matter? Energy Reports, 8, 13914-13938. https://doi.org/10.1016/j.egyr.2022.09.184 Přejít k původnímu zdroji...
  55. Sarkodie, S. A., Strezov, V. (2018). Empirical study of the environmental Kuznets curve and environmental sustainability curve hypothesis for Australia, China, Ghana, and the USA. Journal of Cleaner Production, 201, 98-110. https://doi.org/10.1016/j.jclepro.2018.08.039 Přejít k původnímu zdroji...
  56. Sinha, A., Bekiros, S., Hussain, N., et al. (2023). How social imbalance and governance quality shape policy directives for energy transition in the OECD countries? Energy Economics, 120, 106642. https://doi.org/10.1016/j.eneco.2023.106642 Přejít k původnímu zdroji...
  57. Sun, Y., Bao, Q., Siao-Yun, W., et al. (2022). Renewable energy transition and environmental sustainability through economic complexity in BRICS countries: fresh insights from novel Method of Moments Quantile regression. Renewable Energy, 184(C), 1165-1176. https://doi.org/10.1016/j.renene.2021.12.003 Přejít k původnímu zdroji...
  58. Wan, X., Jahangir, A., Usman, M., et al. (2022). Exploring the effects of economic complexity and the transition to a clean energy pattern on ecological footprint from the Indian perspective. Frontiers in Environmental Science, 9, 736. https://doi.org/10.3389/fenvs.2021.816519 Přejít k původnímu zdroji...
  59. Wang, X., Chen, G., Afshan, S., et al. (2023). Transition towards sustainable Energy: The role of economic complexity, financial liberalization and natural resources management in China. Resources Policy, 83(C), 103631. https://doi.org/10.1016/j.resourpol.2023.103631 Přejít k původnímu zdroji...
  60. Wysocki, J., Dec, P. (2022). In Search of Non-Obvious Relationships between Greenhouse Gas or Particulate Matter Emissions, Renewable Energy and Corruption. Energies, 15(4), 1347. https://doi.org/10.3390/en15041347 Přejít k původnímu zdroji...
  61. Xu, G., Yang, H., Schwarz, P. (2022). A strengthened relationship between electricity and economic growth in China: An empirical study with a structural equation model. Energy, 241(C), 122905. https://doi.org/10.1016/j.energy.2021.122905 Přejít k původnímu zdroji...
  62. Xu, R., Pata, U. K., Dai, J. (2024). Sustainable growth through green electricity transition and environmental regulations: do risks associated with corruption and bureaucracy matter? Politická ekonomie, 72 (2), Special Issue, Forthcoming article. https://doi.org/10.18267/j.polek.1420 Přejít k původnímu zdroji...
  63. Yu, S., Zhou, Y., Syed, Q. R., et al. (2024). Sustainable Growth, Political Risk and Carbon Footprint: Do Energy Transition and Financial Expansion Matter? Politická ekonomie, 72(2), Special Issue, Forthcoming article. https://doi.org/10.18267/j.polek.1419 Přejít k původnímu zdroji...
  64. Zhang, Y. (2023). Energy transition in Southeast Asian countries: is there a role for governance at the country level? Environmental Science and Pollution Research, 30(16), 48460-48470. https://doi.org/10.1007/s11356-023-25290-4 Přejít k původnímu zdroji...
  65. Zhang, Y., Alharthi, M., Ali, S. A., et al. (2022). The eco-innovative technologies, human capital, and energy pricing: Evidence of sustainable energy transition in developed economies. Applied Energy, 325(C), 119729. https://doi.org/10.1016/j.apenergy.2022.119729 Přejít k původnímu zdroji...
  66. Zhou, X., Hu, X., Duan, M., et al. (2024). Go for economic transformation and development in China: Financial development, higher education, and green technology evolution. Evaluation Review, 48(1), 32-62. https://doi.org/10.1177/0193841X231166741 Přejít k původnímu zdroji...

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