Enerji yoksulluğu ve yenilenebilir enerji kullanımının çevresel bozulmaya etkileri

Abstract

Bu makalede çevresel bozulma ile ekonomik büyüme, yenilenebilir enerji tüketimi ve enerji yoksulluğu arasındaki etkileşim araştırılmıştır. Çalışmada 47 Afrika ülkesine ait 2000-2019 yıllarını kapsayan veriler kullanılmıştır. Çevresel bozulma göstergesi olarak CO2, ekonomik büyüme göstergesi olarak kişi başına GSYH, yenilenebilir enerji göstergesi olarak toplam nihai enerji tüketimi içindeki yenilenebilir enerji oranı ve enerji yoksulluğu göstergesi olarak pişirme için hane halklarının temiz enerjiye erişim oranı verileri ile elektrik enerjisine erişim oranı kullanılmıştır. Çalışmada yenilenebilir enerji tüketim oranının ve enerji yoksulluğunun çevre üzerindeki etkilerinin incelenmesi amaçlanmıştır. Uygulanan kantil regresyon analizi sonuçlarına göre yenilenebilir enerji kullanım oranındaki artışlar çevre kalitesi üzerinde iyileştirici bir etkiye sahipken ekonomik büyüme ve enerji yoksulluğu değişkenlerinin çevre kalitesi üzerinde negatif bir etki oluşturduğu bulunmuştur.

Keywords

• Yenilenebilir Enerji
• Enerji Yoksulluğu
• Çevresel Bozulma
• Karbon Salınımı
• Kantil Regresyon

The effects of energy poverty and renewable energy use on environmental degradation

Abstract

In this article, the interaction between environmental degradation and economic growth, renewable energy consumption and energy poverty has been investigated. Data from 47 African countries covering the years 2000-2019 were used in the study. For environmental degradation CO2, for economic growth GDP per capita, for renewable energy consumption the rate of renewable energy in total final energy consumption, for energy poverty households' access to clean energy data for cooking and the rate of access to electrical energy were used as an indicator. In this study, it is aimed to examine the effects of renewable energy consumption rate and energy poverty on the environment. According to the results of the applied quantile regression analysis, while the increase in the use of renewable energy have an improving effect on the environmental quality, the economic growth and energy poverty variables leads to the deterioration of the environmental quality.

Keywords

• Renewable Energy
• Energy Poverty
• Environmental Degradation
• Carbon Emission
• Quantile Regression

References

1. Abbas, K., Xu, D., Li, S. ve Baz, K. (2021). Health implications of household multidimensional energy poverty for women: A structural equation modeling technique. Energy ve Buildings, 234,110661. doi:10.1016/j.enbuild.2020.110661
2. Akram, R., Chen, F., Khalid, F., Huang, G. ve Irfan, M. (2021). Heterogeneous effects of energy efficiency and renewable energy on economic growth of BRICS countries: A fixed effect panel quantile regression analysis. Energy, 215, 119019. doi: 10.1016/j.energy.2020.119019
3. Alam, M. (2006). Economic Growth with Energy. Northeastern University, Boston: MPRA Paper No. 1260. Erişim adresi: https://mpra.ub.uni-muenchen.de/1260/1/MPRA_paper_1260.pdf
4. Alper, F. ve Alper, A. (2017). Karbondioksit emisyonu, ekonomik büyüme, enerji tüketimi ilişkisi: Türkiye için bir ARDL sınır testi yaklaşımı. Sosyoekonomi, 25(33), 145-156. doi:10.17233/sosyoekonomi.292114
5. Avrupa Komisyonu. (2023, 03 04). Energy. Energy poverty in the EU. Erişim adresi: https://energy.ec.europa.eu/topics/markets-and-consumers/energy-consumer-rights/energy-poverty-eu_en
6. Baltagi, B. ve Hashem Pesaran, M. (2007). Heterogeneity and cross section dependence in panel data models: theory and applications introduction. Journal of Applied Econometrics, 22(2), 229-232. doi:10.1002/jae.955
7. Bardazzi, R., Bortolotti, L. ve Pazienza, M. (2021). To eat and not to heat? Energy poverty and income inequality in Italian regions. Energy Research ve Social Science, 73, 101946. doi:10.1016/j.erss.2021.101946
8. Barnes, D. ve Floor, W. (1996). Rural energy in developing countries: a challenge for economic development. Annual Review of Energy and the Environment, 21(1), 497-530. doi:10.1146/annurev.energy.21.1.497

9. Bilgili, F., Ozturk, I., Kocak, E., Kuskaya, S. ve Cingoz, A. (2022). The nexus between access to electricity and CO2 damage in Asian Countries: The evidence from quantile regression models. Energy ve Buildings, 256, 111761. doi:10.1016/j.enbuild.2021.111761
10. Birleşmiş Milletler. (2015). Transforming our world: The 2030 Agenda for Sustainable Development A/RES/70/1. UN General Assembly, New York. Erişim adresi:https://sdgs.un.org/2030agenda
11. Birleşmiş Miletler. (2022). United Nations Department of Economic and Social Affairs . World Urbanization Prospects 2018. Erişim adresi:https://population.un.org/wup/Download/
12. Boardman, B. (2010). Fixing fuel poverty: challenges and solutions. Earthscan
13. Bouzarovski, S. ve Petrova, S. (2015). A global perspective on domestic energy deprivation: Overcoming the energy poverty–fuel poverty binary. Energy Research ve Social Science, 10, 31-40. doi:10.1016/j.erss.2015.06.007
14. Bouzarovski, S., Petrova, S. ve Sarlamanov, R. (2012). Energy poverty policies in the EU: A critical perspective. Energy Policy, 49, 76-82. doi:10.1016/j.enpol.2012.01.033
15. Brundtland, G. (1987). Report of the world commission on environment and development: our common future. Oslo. Erişim adresi: https://sustainabledevelopment.un.org/content/documents/5987our-common-future.pdf
16. Canay, I. (2011). A simple approach to quantile regression for panel data. Econometrics Journal, 14, 368-386. doi:10.1111/j.1368-423X.2011.00349.x
17. Canbay, Ş. (2019). Türkiye'de iktisadi büyüme ile yenilenebilir enerji tüketiminin çevre kirliliği üzerindeki etkileri. Maliye Dergisi, 176, 140-151. Erişim adresi: https://ms.hmb.gov.tr/uploads/2019/09/176-07.pdf
18. Carbon Footprint. (2022). Carbon footprint warming. Climate change. Erişim adresi:https://www.carbonfootprint.com/warming.html
19. Castaño-Rosa, R., Solís-Guzmán, J., Rubio-Bellido, C. ve Marrero, M. (2019). Towards a multiple-indicator approach to energy poverty in the European Union: A review. Energy ve Buildings, 193, 36-48. doi:10.1016/j.enbuild.2019.03.039
20. Cheng, C., Ren, X., Wang, Z. ve Yan, C. (2019). Heterogeneous impacts of renewable energy and environmental patents on CO2 emission-Evidence from the BRIICS. Science of the Total Environment, 668, 1328-1338. doi:10.1016/j.scitotenv.2019.02.063
21. Cohen, B. (2006). Urbanization in developing countries: Current trends, future projections, and key challenges for sustainability. Technology in Society, 28(1-2), 63-80. doi:10.1016/j.techsoc.2005.10.005
22. De Hoyos, R. ve Sarafidis, V. (2006). Testing for cross-sectional dependence in panel-data models. The Stata Journal, 6(4), 482-496. doi:10.1177/1536867X0600600403
23. Demir, Y. ve Görür, Ç. (2020). OECD ülkelerine ait çeşitli enerji tüketimleri ve ekonomik büyüme arasindaki ilişkinin panel eşbütünleşme analizi ile incelenmesi. Ekoist: Journal of Econometrics and Statistics, 32, 15-33. doi:10.26650/ekoist.2020.32.0005
24. Denis, D. (2021). Applied Univariate, Bivariate, and Multivariate Statistics: Understanding Statistics for Social and Natural Scientists, With Applications in SPSS and R (2 b.). John Wiley ve Sons, Inc. Erişim adresi: http://ndl.ethernet.edu.et/bitstream/123456789/28312/1/Daniel%20J.%20Denis_2016.pdf
25. Diamond, I. ve Jefferies, J. (2019). Beginning statistics: an ıntroduction for social scientists (1 b.). SAGE Publications Ltd.
26. Dimnwobi, S., Okere, K., Onuoha, F. ve Ekesiobi, C. (2022). Energy poverty, environmental degradation and agricultural productivity in Sub-Saharan Africa. Awka, Nigeria: African Governance and Development Institute. doi:10.1080/13504509.2022.2158957
27. Dogan, E., Seker, F. ve Bulbul, S. (2017). Investigating the impacts of energy consumption, real GDP, tourism and trade on CO2 emissions by accounting for cross-sectional dependence: a panel study of OECD countries. Current Issues in Tourism, 20(16), 1701-1719. doi:10.1080/13683500.2015.1119103
28. Dünya Sağlık Örgütü. (2006). Fuel for life: household energy and health. Cenevre, İşviçre: Dünya Sağlık Örgütü. Erişim adresi: https://apps.who.int/iris/bitstream/handle/10665/43421/9241563168_eng.pdf
29. El-Katiri, L. (2014). The energy poverty nexus in the Middle East and North Africa. OPEC Energy Review, 38(3), 296-322. doi:10.1111/opec.12029
30. Emek, Ö. F. ve Atay Polat, M. (2022). Enerji tüketimi, küreselleşme ve ekonomik büyüme arasindaki ilişki: seçilmiş yükselen piyasa ekonomileri için bir nedensellik analizi. İktisat Politikası Araştırmaları Dergisi, 9(2), 331-351. doi:10.26650/JEPR1087057
31. Esily, R., Yuanying, C., Ibrahiem, D., Houssam, N., Makled, R. ve Chen, Y. (2023). Environmental benefits of energy poverty alleviation, renewable resources, and urbanization in North Africa. Utilities Policy, 82, 101561, 1-14. doi:10.1016/j.jup.2023.101561
32. Forster, B. (1973). Optimal capital accumulation in a polluted environment. Southern Economic Journal, 39(4), 544-547. doi:10.2307/1056705
33. Freeman, B. (2022). Closing the energy poverty gap in Africa using landfill gas. The Payne Institute Commentary Series: Commentary, 1-11. doi:10.25676/11124/15134
34. Georgescu-Roegen, N. (1975). Energy and Economic Myths. Southern Economic Journal, 41(3) , 347-381. doi:10.2307/1056148
35. Gujarati, D. (2004). Basic econometrics (4 b.). The McGraw-Hill Companies
36. Halkos, G. ve Gkampoura, E.-C. (2021). Evaluating the effect of economic crisis on energy poverty in Europe. Renewable and Sustainable Energy Reviews, 144, 110981, 1-11. doi:10.1016/j.rser.2021.110981
37. Hancı, G. (2014). Kredi Temerrüt Takaslari ve Bist-100 Arasindaki İlişkinin İncelenmesi. Maliye ve Finans Yazıları, 102, 9-22. Erişim adresi: https://dergipark.org.tr/en/download/article-file/412419
38. Healy, J. ve Clinch, J. (2004). Quantifying the severity of fuel poverty, its relationship with poor housing and reasons for non-investment in energy-saving measures in Ireland. Energy Policy, 32(2), 207-220. doi:10.1016/S0301-4215(02)00265-3
39. Hiemstra-van der Horst, G. ve Hovorka, A. (2008). Reassessing the ‘‘energy ladder’’: Household energy use in Maun, Botswana. Energy Policy, 36(9), 3333-3344. doi:10.1016/j.enpol.2008.05.006
40. Hills, J. (2012). Getting the measure of fuel poverty: final report of the Fuel Poverty Review. London UK: Crown copyright. Erişim adresi: https://sticerd.lse.ac.uk/dps/case/cr/casereport72
41. Huang, C.-H. ve Cai, D. (1994). Constant-returns endogenous growth with pollution control. Environmental and Resource Economics, 4(4), 383-400. doi:10.1007/BF00692231
42. Uluslararası Enerji Ajansı. (2004). World energy outlook. Paris: OECD/IEA. Erişim adresi:https://www.iea.org/reports/world-energy-outlook-2004
43. Inglesi-Lotz, R. ve Dogan, E. (2018). The role of renewable versus non-renewable energy to the level of CO2 emissions a panel analysis of sub-Saharan Africa's Βig 10 electricity generators. Renewable Energy,, 36-43. doi: https://doi.org/10.1016/j.renene.2018.02.041
44. Hükümetlerarası İklim Değişikliği Paneli. (2014). Climate Change 2014: Synthesis Report. Contribution of Working Groups I, II and III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Geneva, Switzerland : The Intergovernmental Panel on Climate Change (IPCC). Erişim adresi: https://www.ipcc.ch/report/ar5/syr/
45. Uluslararası Yenilenebilir Enerji Ajansı. (2020). Global Renewables Outlook: Energy transformation 2050. Abu Dhabi: International Renewable Energy Agency. Erişim adresi:www.irena.org/publications
46. Jack, J., Ogbanga, M. ve Odubo, T. (2018). Energy poverty and environmental sustainability challenges in Nigeria. Ilorin Journal of Sociology, 10(1), 19-31. Erişim adresi: https://www.researchgate.net/profile/Jackson-Jack
47. Jebli, M., Youssef, S. ve Ozturk, I. (2016). Testing environmental Kuznets curve hypothesis: The role of renewable and non-renewable energy consumption and trade in OECD countries. Ecological Indicators, 60, 824-831. doi:10.1016/j.ecolind.2015.08.031
48. Karpinska, L. ve Śmiech, S. (2020). Invisible energy poverty? Analysing housing costs in Central and Eastern Europe. Energy Research ve Social Science, 70, 101670. doi:10.1016/j.erss.2020.101670
49. Khan, H., Khan, I. ve Binh, T. (2020). The heterogeneity of renewable energy consumption, carbon emission and financial development in the globe: a panel quantile regression approach. Energy Reports 6,, 859-867. doi:10.1016/j.egyr.2020.04.002
50. Koçak, E., Ulucak, R., Dedeoğlu, M. ve Şentürk Ulucak, Z. (2019). Is there a trade-off between sustainable society targets in Sub-Saharan Africa? Sustainable Cities and Society, 51(101705). doi:10.1016/j.scs.2019.101705
51. Koenker, R. (2004). Quantile regression for longitudinal data. Journal of Multivariate Analysis, 91, 74-89. doi: 10.1016/j.jmva.2004.05.006
52. Koenker, R. ve Bassett Jr., G. (1978). Regression Quantiles. Econometrica, 46(1), 33-50. doi:10.2307/1913643
53. Krautkraemer, J. (1985). Optimal growth, resource amenities and the preservation of natural environments. The Review of Economic Studies, 52(1), 153-170. doi: 10.2307/2297476
54. Liddell, C. ve Morris, C. (2010). Fuel poverty and human health: A review of recent evidence. Energy Policy, 38(6), 2987-2997. doi:10.1016/j.enpol.2010.01.037
55. Masron, T. ve Subramaniam, Y. (2019). Does poverty cause environmental degradation? Evidence from developing countries. Journal of Poverty, 23(1), 44-64. doi:10.1080/10875549.2018.1500969
56. McCauley, D. (2017). Energy justice : re-balancing the trilemma of security, poverty and climate change. Cham, Switzerland: Palgrave Macmillan
57. Meadows, D., Meadows, D., Randers, J. ve Behrens Ill, W. (1972). Limits to growth. New York: Universe Books
58. Mete, E. (2021). Enerji tüketimi ve ekonomik büyüme ilişkisi: G7 ülkeleri örneği. Atatürk Üniversitesi İktisadi ve İdari Bilimler Dergisi, 35(4), 1481-1495. doi:10.16951/atauniiibd.938207
59. Mirza, F., Sinha, A., Khan, J., Kalugina, O. ve Zafar, M. (2022). Impact of Energy Efficiency on CO2 Emissions: Empirical Evidence from Developing Countries. MPRA Paper No. 111923, 1-41.Erişim adresi: https://mpra.ub.uni-muenchen.de/111923/
60. Monyei, C., Adewumi, A., Obolo, M. ve Sajou, B. (2018). Nigeria's energy poverty: Insights and implications for smart policies and framework towards a smart Nigeria electricity network. Renewable and Sustainable Energy Reviews, 81, 1582-1601. doi:10.1016/j.rser.2017.05.237
61. Munasinghe, M. (2002). The sustainomics trans-disciplinary meta-framework for making development more sustainable: applications to energy issues. International Journal of Sustainable Development, 5(1-2), 125-182. doi:10.1504/IJSD.2002.002563
62. Neacsa, A., Panait, M., Muresan, J. ve Voica, M. (2020). Energy poverty in European Union: Assessment difficulties, effects on the quality of life, mitigation measures. some evidences from Romania. Sustainability, 12(10), 4036. doi:10.3390/su12104036
63. Opoku, E. ve Aluko, O. (2021). Heterogeneous effects of industrialization on the environment: evidence from panel quantile regression. Structural Change and Economic Dynamics, 59, 174-184. doi:10.1016/j.strueco.2021.08.015
64. Pachauri, S. ve Spreng, D. (2004). Energy use and energy access in relation to poverty. Economic and Political weekly, 39(3), 271-278. Erişim adresi: https://www.jstor.org/stable/4414526
65. Papada, L. ve Kaliampakos, D. (2016). Measuring energy poverty in Greece. Energy Policy, 94, 157–165. doi:10.1016/j.enpol.2016.04.004
66. Pereira, M., Silva, N. ve Freitas , M. (2019). Energy transition: the nexus between poverty and CO2 emissions in Brazil. International Journal of Innovation and Sustainable Development, 13(3-4), 376-391. doi:10.1504/IJISD.2019.100398
67. Pezzey, J. (1992). Sustainability: an interdisciplinary guide. Environmental Values, 1(4), 321-362. doi: 10.3197/096327192776680034
68. Preston, I., White, V., Blacklaws, K. ve Hirsh, D. (2014). Fuel and poverty: A Rapid Evidence Assessment for the Joseph Rowntree Foundation. Bristol, UK: Centre for Sustainable Energy. Erişim adresi: https://centreforsustainableenergy.ams3.digitaloceanspaces.com/wp-content/uploads/2023/03/18215554/Fuel_and_poverty_review_June2014.pdf
69. Pye, S., Dobbins, A., Baffert, C., Brajković, J., De Miglio, R. ve Deane, P. (2015). Energy poverty and vulnerable consumers in the energy sector across the EU: analysis of policies and measures. INSIGHT_E. Erişim adresi: https://energy.ec.europa.eu/publications/energy-poverty-and-vulnerable-consumers-energy-sector-across-eu-analysis-policies-and-measures_en
70. Quito, B., del Río-Rama, M., Alvarez-García, J. ve Durán-Sánchez, A. (2022). Impacts of industrialization, renewable energy and urbanization on the global ecological footprint: A quantile regression approach. Business Strategy and the Environment, 1-13. doi:10.1002/bse.3203
71. Robić, S., Rogulj, I. ve Ančić, B. (2018). Energy poverty in the Western Balkans: adjusting policy responses to socio-economic drivers. N. Simcock, H. Thomson, S. Petrova, ve S. Bouzarovski içinde, Energy Poverty and Vulnerability (s. 282). Routledge
72. Sadath, A. ve Acharya, R. (2017). Assessing the extent and intensity of energy poverty using Multidimensional Energy Poverty Index: Empirical evidence from households in India. Energy Policy, 102, 540-550. doi:10.1016/j.enpol.2016.12.056
73. Sancar, C. ve Atay Polat, M. (2021). CO2 emisyonları, ekonomik büyüme ve sağlık harcamaları ilişkisi: Türkiye ve seçilmiş ülke örnekleri için ampirik bir uygulama. MANAS Sosyal Araştırmalar Dergisi, 10(1), 236-252. doi:10.33206/mjss.748253
74. Selçuk, I., Gölçek , A. ve Köktaş, A. (2019). Energy poverty in Turkey. Sosyoekonomi, 27(42), 283-299. doi:10.17233/sosyoekonomi.2019.04.15
75. Smulders, S. ve Gradus, R. (1996). Pollution abatement and long-term growth. European Journal of Political Economy, 12(3), 505-532. doi: 10.1016/S0176-2680(96)00013-4
76. Son, H. ve Yoon, S. (2020). Reducing energy poverty: Characteristics of household electricity use in Vietnam. Energy for Sustainable Development, 59, 62-70. doi:10.1016/j.esd.2020.08.007
77. Sovacool , B. ve Drupady, I. (2012). Energy Access, Poverty, and Development: The Governance of Small-Scale Renewable Energy in Developing Asia. Surrey, England: Ashgate Publishing Limited
78. Sovacool, B. (2012). The political economy of energy poverty: A review of key challenges. Energy for Sustainable Development, 16(3), 272-282. doi: 10.1016/j.esd.2012.05.006
79. Sule, I., Yusuf, A. ve Salihu, M.-K. (2022). Impact of energy poverty on education inequality and infant mortality in some selected African countries. Energy Nexus, 5(16), 100034, 1-7. doi:10.1016/j.nexus.2021.100034
80. Teyyare, E. (2018). Tasarruf-yatırım-kurumsal kalite ilişkisine yönelik bir analiz: Türkiye örneği. Bolu Abant İzzet Baysal Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 18(1), 119-139. doi:10.11616/asbed.v18i38800.459486
81. Thomson, H. ve Snell, C. (2013). Quantifying the prevalence of fuel poverty across the European Union. Energy Policy, 52, 563–572. doi:10.1016/j.enpol.2012.10.009
82. Thomson, H., Snell, C. ve Bouzarovski, S. (2017). Health, well-being and energy poverty in Europe: A comparative study of 32 European countries. International Journal of Environmental Research and Public Health, 14(6), 584. doi:10.3390/ijerph14060584
83. Tian, F., Gao, J. ve Yang, K. (2018). A quantile regression approach to panel data analysis of health‐care expenditure in Organisation for Economic Co‐operation and Development countries. Health Economics, 27(12), 1921-1944. doi: 10.1002/hec.3811
84. Tietenberg, T. ve Lewis, L. (2018). Environmental and natural resource economics (Eleventh Edition b.). New York: Routledge.
85. Van Ewijk, C. ve Van Wijnbergen, S. (1995). Can abatement overcome the conflict between environment and economic growth? De Economist, 143(2), 197-216. doi:10.1007/BF01384535
86. Waldmann, E. (2018). Quantile regression: A short story on how and why. Statistical Modelling, 18(3–4), 203-2018. doi:10.1177/1471082X18759142
87. Wang, K., Wang, Y.-X., Li, K. ve Wei, Y.-M. (2015). Energy poverty in China: An index based comprehensive evaluation. Renewable and Sustainable Energy Reviews, 47, 308-323. doi:10.1016/j.rser.2015.03.041
88. Wang, Q., Guo, J., Li, R., Mikhaylov, A. ve Moiseev, N. (2023). Does technical assistance alleviate energy poverty in sub-Saharan African countries? A new perspective on spatial spillover effects of technical assistance. Energy Strategy Reviews, 45, 101047, 1-9. doi:10.1016/j.esr.2022.101047
89. Wang, S., Zeng, J. ve Liu, X. (2019). Examining the multiple impacts of technological progress on CO2 emissions in China: a panel quantile regression approach. Renewable and Sustainable Energy Reviews, 103, 140-150. doi:10.1016/j.rser.2018.12.046
90. Wilkinson, P., Smith, K., Beevers, S., Tonne, C. ve Oreszczyn, T. (2007). Energy, energy effi ciency, and the built environment. Lancet, 370, 1175–87. doi:10.1016/S0140-6736(07)61255-0
91. Wooldridge, J. (2019). Introductory econometrics (2 b.)
92. Yan, D., Kong, Y., Ren, X., Shi, Y. ve Chiang, S. (2019). The determinants of urban sustainability in Chinese resource-based cities: A panel quantile regression approach. Science of the Total Environment, 686, 1210-1219. doi:10.1016/j.scitotenv.2019.05.386
93. Yazici, B. ve Yolacan, S. (2007). A comparison of various tests of normality. Journal of Statistical Computation and Simulation, 77(2) , 175-183. doi:10.1080/10629360600678310
94. Yip, A.-n., Mah, D.-y. ve Barber, L. (2020). Revealing hidden energy poverty in Hong Kong: a multi-dimensional framework for examining and understanding energy poverty. Local Environment, 25(7), 473-491. doi: 10.1080/13549839.2020.1778661
95. Zakari, A., Adedoyin, F. ve Bekun, F. (2021). The effect of energy consumption on the environment in the OECD countries: economic policy uncertainty perspectives. Environmental Science and Pollution Research, 28(37), 52295-52305. doi:10.1007/s11356-021-14463-8
96. Zhao, J., Jiang, Q., Dong, X. ve Dong, K. (2021). Assessing energy poverty and its effect on CO2 emissions: the case of China. Energy Economics, 97, 105191. doi:10.1016/j.eneco.2021.105191
97. Zheng, W. ve Walsh, P. (2019). Economic growth, urbanization and energy consumption — A provincial level analysis of China. Energy Economics, 80, 153-162. doi:10.1016/j.eneco.2019.01.004