Abstract
The research aims to determine the nexus of energy projects retrofit and poverty under two scenarios: energy project cost estimation and energy price determination. Households in rural areas of northern China are now required to switch from coal to cleaner heating options, including natural gas and electricity, as part of a government-led clean heating initiative. This initiative significantly increased the heating expense for participating homes, even when substantial subsidies were applied. We surveyed a large number of northern Chinese households to learn more about the rise in energy insecurity that has been attributed to government action. Our research shows that switching to electricity and gas from coal considerably worsens energy poverty in several ways, whereas switching to clean coal improves the situation. According to an econometric study, changes in energy poverty reveal heterogeneity in several ways. There is little change in Beijing, while the considerably less developed province of Hebei to the north sees a 75% rise. Energy poverty is more common in families with poorer incomes, lower levels of education, and smaller sizes. People who lack resources to insulate their homes will feel the effects more acutely. These results support the idea that low-income families would suffer disproportionately under a “one policy for all” mandate. For policymakers working on energy transition strategies for a low-carbon economy, it highlights the need to consider the distributional impact.
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References
Ahmad T, Zhu H, Zhang D, Tariq R, Bassam A, Ullah F, AlGhamdi AS, Alshamrani SS (2022) Energetics Systems and artificial intelligence: applications of industry 4.0. Energy Reports 8:334–361. https://doi.org/10.1016/j.egyr.2021.11.256
Antelava A, Damilos S, Hafeez S, Manos G, Al-Salem SM, Sharma BK, Kohli K, Constantinou A (2019) Plastic solid waste (PSW) in the context of life cycle assessment (LCA) and sustainable management. Environ Manag 64(2):230–244. https://doi.org/10.1007/S00267-019-01178-3
Bartzas G, Komnitsas K (2017) Life cycle analysis of pistachio production in Greece. Sci Total Environ 595:13–24. https://doi.org/10.1016/j.scitotenv.2017.03.251
Belhassine O (2020) Volatility spillovers and hedging effectiveness between the oil market and Eurozone sectors: a tale of two crises. Res Int Business Fin 53. https://doi.org/10.1016/j.ribaf.2020.101195
Breeze P (2018) In: Breeze PBT-PSEST (ed) Chapter 8 - Hydrogen energy storage. Academic Press, pp 69–77. https://doi.org/10.1016/B978-0-12-812902-9.00008-0
Camba AC (2020) Capturing the short-run and long-run causal behavior of Philippine stock market volatility under vector error correction environment. J Asian Finan Econom Business 7(8):41–49. https://doi.org/10.13106/JAFEB.2020.VOL7.NO8.041
Caux S, Hankache W, Fadel M, Hissel D (2010) On-line fuzzy energy management for hybrid fuel cell systems. Int J Hydrogen Energy 35:2134–2143. https://doi.org/10.1016/j.ijhydene.2009.11.108
Chang L, Iqbal S, Chen H (2023) Does financial inclusion index and energy performance index co-move? Energy Policy 174:113422
Cheng Z, Kai Z, Zhu S (2023) Does green finance regulation improve renewable energy utilization? Evidence from energy consumption efficiency. Renew Energy 208:63–75. https://doi.org/10.1016/j.renene.2023.03.083
Curran G (2020) Divestment, energy incumbency and the global political economy of energy transition: the case of Adani’s Carmichael mine in Australia. Climate Policy 20(8):949–962. https://doi.org/10.1080/14693062.2020.1756731
Eriksson ELV, Gray EM (2017) Optimization and integration of hybrid renewable energy hydrogen fuel cell energy systems – a critical review. Appl Energy 202:348–364. https://doi.org/10.1016/j.apenergy.2017.03.132
Erum N, Hussain S (2019) Corruption, natural resources and economic growth: evidence from OIC countries. Resources Policy 63:101429. https://doi.org/10.1016/j.resourpol.2019.101429
Goel A, Chhapra ZD (2021) Evolution and advances of laser hair removal technologies in India. Cosmoderma 1
Goodell JW, Nammouri H, Saâdaoui F, Ben Jabeur S (2023) Carbon allowances amid climate change concerns: fresh insights from wavelet multiscale analysis. Finance Res Lett. https://doi.org/10.1016/j.frl.2023.103871
Hankache W, Caux S, Hissel D, Fadel M (2009) Genetic algorithm fuzzy logic energy management strategy for fuel cell hybrid vehicle. IFAC Proceed Volumes 42(9):137–142. https://doi.org/10.3182/20090705-4-SF-2005.00026
Haushalter D, Klasa S, Maxwell WF (2007) The influence of product market dynamics on a firm's cash holdings and hedging behavior. J Finan Econ 84(3):797–825. https://doi.org/10.1016/j.jfineco.2006.05.007
Iqbal S, Bilal AR (2021) Energy financing in COVID-19: how public supports can benefit? China Finance Rev Int 12(2):219–240
Kallai T, Lendér Z, Lucz G (2022) What artificial intelligence and IoT (AIoT) can deliver to scale up the hydrogen economy? https://doi.org/10.13140/RG.2.2.32118.06726
Kalogirou S (2001) Kalogirou, S.A: Artificial neural networks in renewable energy systems applications: a review. Renew Sustain Energy Rev 5:373-401. https://doi.org/10.1016/S1364-0321(01)00006-5
Kishore SC, Perumal S, Atchudan R, Alagan M, Sundramoorthy AK, Lee YR (2022) A critical review on artificial intelligence for fuel cell diagnosis. Catalysts 12(7). https://doi.org/10.3390/catal12070743
Konisky DM, Carley S (2021) What we can learn from the green new deal about the importance of equity in national climate policy. J Policy Anal Manag 40(3):996–1002. https://doi.org/10.1002/PAM.22314
Li X, Chen L, Lin JH (2023) Borrowing-firm environmental impact on insurer green finance assessment: green loan subsidy, regulatory cap, and green technology. Environ Impact Assess Rev 99. https://doi.org/10.1016/j.eiar.2022.107007
Li Y, Ma Z, Zheng M, Li D, Lu Z, Xu B (2021) Performance Analysis and optimization of a high-temperature PEMFC vehicle based on particle swarm optimization algorithm. Membranes 11(9). https://doi.org/10.3390/membranes11090691
Ligus M, Peternek P (2021) The sustainable energy development index—an application for european union member states. Energies 14(4). https://doi.org/10.3390/EN14041117
Luo W, Yao J, Mitchell R, Zhang X (2020) Spatiotemporal access to emergency medical services in Wuhan, China: accounting for scene and transport time intervals. Int J Health Geograph 19(1). https://doi.org/10.1186/S12942-020-00249-7
Menegaki A, Tugcu C (2017) Energy consumption and sustainable economic welfare in G7 countries; a comparison with the conventional nexus. Renew Sustain Energy Rev 69:892–901. https://doi.org/10.1016/j.rser.2016.11.133
Miao Z, Baležentis T, Shao S, Chang D (2019) Energy use, industrial soot and vehicle exhaust pollution—China’s regional air pollution recognition, performance decomposition and governance. Energy Econ 83:501–514. https://doi.org/10.1016/j.eneco.2019.07.002
Pan C, Sun T, Mirza N, Huang Y (2022) The pricing of low emission transitions: evidence from stock returns of natural resource firms in the GCC. Res Policy 79:102986. https://doi.org/10.1016/j.resourpol.2022.102986
Piersma T, Drent J (2003) Phenotypic flexibility and the evolution of organismal design. Trends Ecol Evolut 18(5):228–233. https://doi.org/10.1016/S0169-5347(03)00036-3
Ross EV, Ladin Z, Kreindel M, Dierickx C (1999) Theoretical considerations in laser hair removal. Dermatol Clin 17(2):333–355
Seo H (2021) Peer effects in corporate disclosure decisions. J Account Econ 71(1). https://doi.org/10.1016/j.jacceco.2020.101364
Su CW, Chen Y, Hu J, Chang T, Umar M (2023) Can the green bond market enter a new era under the fluctuation of oil price? Econ Res Ekonomska Istrazivanja 36(1):536–561. https://doi.org/10.1080/1331677X.2022.2077794
Szetela B, Majewska A, Jamroz P, Djalilov B, Salahodjaev R (2022) renewable Energy and CO2 emissions in top natural resource rents depending countries: the role of governance. Front Energ Res 10. https://doi.org/10.3389/fenrg.2022.872941
Tam KP (2013) Concepts and measures related to connection to nature: similarities and differences. J Environ Psychol 34:64–78. https://doi.org/10.1016/J.JENVP.2013.01.004
Turtos Carbonell LM, Sanchez Gacita M, Rivero Oliva J, De J, Curbelo Garea L, Diaz Rivero N, Meneses Ruiz E (2010) Methodological guide for implementation of the AERMOD system with incomplete local data. Atmos Pollut Res 1(2):102–111. https://doi.org/10.5094/APR.2010.013
Umamaheswaran S, Rajiv S (2015) Financing large scale wind and solar projects - a review of emerging experiences in the Indian context. Renew Sustain Energy Rev 48:166–177. https://doi.org/10.1016/J.RSER.2015.02.054
Wang J, Dong K (2019) What drives environmental degradation? Evidence from 14 Sub-Saharan African countries. Sci Total Environ 656:165–173. https://doi.org/10.1016/j.scitotenv.2018.11.354
Wang J, Wang H, Wang D (2021) Equity concentration and investment efficiency of energy companies in China: evidence based on the shock of deregulation of QFIIs. Energy Econ 93. https://doi.org/10.1016/j.eneco.2020.105032
Yang X, Li N, Mu H, Zhang M, Pang J, Ahmad M (2021) Study on the long-term and short-term effects of globalization and population aging on ecological footprint in OECD countries. Ecolog Complex 47. https://doi.org/10.1016/j.ecocom.2021.100946
Yang Y, Liu Z, Saydaliev HB, Iqbal S (2022) Economic impact of crude oil supply disruption on social welfare losses and strategic petroleum reserves. Resour Policy 77:102689
Zepf V (2020) The dependency of renewable energy technologies on critical resources. Mater Basis Energ Trans 49–70. https://doi.org/10.1016/B978-0-12-819534-5.00004-0
Zhao L, Saydaliev HB, Iqbal S (2022) Energy financing, COVID-19 repercussions and climate change: implications for emerging economies. Climate Chang Econ 13(03):2240003
Zheng X, Zhou Y, Iqbal S (2022) Working capital management of SMEs in COVID-19: role of managerial personality traits and overconfidence behavior. Econ Anal Policy 76:439–451
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Write up corrections, data curation, supervision: RuiYing Wang; analysis, software, editing and visualization: Ting Cao; conceptualization, methodology: XingYuan He; review, corrections, visualization: YiMin Fan.
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Wang, ., Cao, T., He, X. et al. Energy financing, energy projects retrofit and energy poverty: a scenario-analysis approach for energy project cost estimation and energy price determination. Environ Sci Pollut Res 30, 108865–108877 (2023). https://doi.org/10.1007/s11356-023-29822-w
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DOI: https://doi.org/10.1007/s11356-023-29822-w