Does digital financing influence renewable energy performance in China?
China
Digital finance
Energy access
Financialization
Renewable energy performance
Journal
Environmental science and pollution research international
ISSN: 1614-7499
Titre abrégé: Environ Sci Pollut Res Int
Pays: Germany
ID NLM: 9441769
Informations de publication
Date de publication:
Aug 2023
Aug 2023
Historique:
received:
23
03
2023
accepted:
12
06
2023
medline:
9
8
2023
pubmed:
1
7
2023
entrez:
1
7
2023
Statut:
ppublish
Résumé
The objective of this study is to examine how digital finance influences renewable energy performance in China. Empirical data from China between 2007 and 2019 is used to evaluate the relationship among these variables. The study uses two techniques, quantile regression (QR) and generalized methods of moments (GMM), to draw empirical conclusions. The results reveal that digital finance significantly influences the renewable energy performance, ecological growth, and financial performance of cities in China. Specifically, digital finance accounts for 45.92% of the variation in renewable energy indicators, 27.60% in ecological growth, and 24.39% in the improved financial performance of renewable energy at the city level. The study also observes that the city-level score for digital finance, renewable energy, and other indicators is heterogeneous in movement. Factors contributing to this heterogeneity include high population (16.05%), access to digital banking (23.11%), province-level renewable energy performance (39.62%), household financial stability (22.04%), and household renewable energy literacy (8.47%). Based on these findings, the study recommends practical implications for key stakeholders.
Identifiants
pubmed: 37392296
doi: 10.1007/s11356-023-28288-0
pii: 10.1007/s11356-023-28288-0
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
85708-85720Informations de copyright
© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.
Références
Ahmad B, Iqbal S, Hai M, Latif S (2022) The interplay of personal values, relational mobile usage and organizational citizenship behavior. Interact Technol Smart Educ 19(2):260–280
Alharbi SS, Al Mamun M, Boubaker S, Rizvi SKA (2023) Digital finance and renewable energy: a worldwide evidence. Energy Econ 118:106499. https://doi.org/10.1016/j.eneco.2022.106499
doi: 10.1016/j.eneco.2022.106499
Alsagr N (2023) Financial efficiency and its impact on renewable energy investment: empirical evidence from advanced and emerging economies. J Clean Prod 401:136738
doi: 10.1016/j.jclepro.2023.136738
Alsagr N, van Hemmen S (2021) The impact of financial development and geopolitical risk on renewable energy consumption: evidence from emerging markets. Environ Sci Pollut Res 28:25906–25919
doi: 10.1007/s11356-021-12447-2
Amigo-Jorquera C, Guerrero-González MJ, Sannazzaro J, Urquiza-Gómez A (2019) Does energy poverty have a female face in Chile? Takuya: Latin American Science. Technol Soc 2(1):378–390. https://doi.org/10.1080/25729861.2019.1608038
doi: 10.1080/25729861.2019.1608038
Bag S, Wood LC, Mangla SK, Luthra S (2020) Procurement 4.0 and its implications on business process performance in a circular economy. Resour Conserv Recycl 152:104502. https://doi.org/10.1016/j.resconrec.2019.104502
doi: 10.1016/j.resconrec.2019.104502
Bei J, Wang C (2023) Renewable energy resources and sustainable development goals: evidence based on digital finance, clean energy, and environmentally friendly investment. Resour Policy 80:103194. https://doi.org/10.1016/j.resourpol.2022.103194
doi: 10.1016/j.resourpol.2022.103194
Bilal AR, Fatima T, Iqbal S, Imran MK (2022) I can see the opportunity that you cannot! A nexus between individual entrepreneurial orientation, alertness, and access to finance. Eur Bus Rev 34(4):556–577
Bornmann L, Mutz R, Daniel HD (2008) Are there better indices for evaluation purposes than the h index? A comparison of nine different variants of the h index using data from biomedicine. J Am Soc Inform Sci Technol 59(5):830–837. https://doi.org/10.1002/ASI.20806
doi: 10.1002/ASI.20806
Bouzarovski S (2017) Energy poverty: (Dis)assembling Europe’s infrastructural divide. Energy Poverty: (Dis)Assembling Eur Infrastruct Divide:1–117. https://doi.org/10.1007/978-3-319-69299-9
Calado H, Gutierrez D, Pegorelli C, Kirkfeldt TS, Hipólito C, Moniz F, McClintock W, Vergílio M, Guerreiro J, Papaioannou E (2021) A tailored method for strategic environmental assessment in maritime spatial planning. J Environ Assess Policy Manage 23(01n02):2250009. https://doi.org/10.1142/S1464333222500090
doi: 10.1142/S1464333222500090
Castaño-Rosa R, Solís-Guzmán J, Marrero M (2020) Energy poverty goes south? Understanding the costs of energy poverty with the index of vulnerable homes in Spain. Energy Res Soc Sci 60. https://doi.org/10.1016/J.ERSS.2019.101325
Chang L, Iqbal S, Chen H (2023) Does financial inclusion index and energy performance index co-move?. Energy Policy 174:113422
Chen Y, Kumara EK, Sivakumar V (2021) Investigation of the finance industry on risk awareness model and digital economic growth. Ann Oper Res. https://doi.org/10.1007/s10479-021-04287-7
Filippi A, Tedeschi L, Parretti D, Ricci S, Morelli P, Grilli P, Rossi A, Innocenti F (2009) Lifestyle counseling in primary care: long-term effects on cholesterol level. Eur J Gen Pract 15(3):136–140. https://doi.org/10.3109/13814780903362560
doi: 10.3109/13814780903362560
Golosnoy AS, Provotorov VV, Sergeev SM, Raikhelgauz LB, Kravets OJ (2019) Software engineering math for network applications. J Phys: Conf Ser 1399(4):044047. https://doi.org/10.1088/1742-6596/1399/4/044047
doi: 10.1088/1742-6596/1399/4/044047
Gouveia JP, Palma P, Simoes SG (2019) Energy poverty vulnerability index: a multidimensional tool to identify hotspots for local action. Energy Rep 5:187–201. https://doi.org/10.1016/J.EGYR.2018.12.004
doi: 10.1016/J.EGYR.2018.12.004
Gross R, Leach M, Bauen A (2003) Progress in renewable energy. Environ Int 29(1):105–122. https://doi.org/10.1016/S0160-4120(02)00130-7
doi: 10.1016/S0160-4120(02)00130-7
Gu X, Alamri AM, Ahmad M, Alsagr N, Zhong X, Wu T (2023) Natural resources extraction and green finance: Dutch disease and COP27 targets for OECD countries. Resour Policy 81:103404
doi: 10.1016/j.resourpol.2023.103404
Guasch-Ferré M, Li Y, Bhupathiraju SN, Huang T, Drouin-Chartier JP, Manson JAE, Sun Q, Rimm EB, Rexrode KM, Willett WC, Stampfer MJ, Hu FB (2022) Healthy lifestyle score including sleep duration and cardiovascular disease risk. Am J Prev Med. https://doi.org/10.1016/j.amepre.2022.01.027
Hanssen F, May R, van Dijk J, Rød JK (2018) Spatial multi-criteria decision analysis tool suite for consensus-based siting of renewable energy structures. J Environ Assess Policy Manage 20(03):1840003. https://doi.org/10.1142/S1464333218400033
doi: 10.1142/S1464333218400033
Iqbal S, Bilal AR, Nurunnabi M, Iqbal W, Alfakhri Y, Iqbal N (2021) It is time to control the worst: testing COVID-19 outbreak, energy consumption and CO 2 emission. Environ Sci Pollut Res 28:19008–19020
Iqbal S, Bilal AR (2021) Energy financing in COVID-19: how public supports can benefit?. China Finance Rev Int 12(2):219–240
Kabir KH, Khan MA, Hasan K, Aftab S (2022) Driving forces of adaptation decision and strategies to climate-related events: case on farming households in south–west coastal Bangladesh. J Environ Assess Policy Manage:2250019. https://doi.org/10.1142/S1464333222500193
Kabir Z (2022) The Role of Social Impact Assessment (SIA) in the development of a mine closure plan in regional Australia. J Environ Assess Policy Manage:2250015. https://doi.org/10.1142/S1464333222500156
Li CZ, Umair M (2023) Do digital finance development goals affects renewable energy in China? Renew Energy 203(December 2022):898–905. https://doi.org/10.1016/j.renene.2022.12.066
doi: 10.1016/j.renene.2022.12.066
Li W, Chien F, Ngo QT, Nguyen TD, Iqbal S, Bilal AR (2021) Vertical financial disparity, energy prices and emission reduction: empirical insights from Pakistan. J Environ Manage 294:112946
Lin B, Okyere MA (2023) Race and energy poverty: the moderating role of subsidies in South Africa. Energy Econ 117:106464. https://doi.org/10.1016/j.eneco.2022.106464
doi: 10.1016/j.eneco.2022.106464
Marttunen M, Mustajoki J (2018) Use of analyst-generated stakeholder preference profiles in multi-criteria decision analysis — experiences from an urban planning case. J Environ Assess Policy Manage 20(03):1840002. https://doi.org/10.1142/S1464333218400021
doi: 10.1142/S1464333218400021
Muhammad J, Fatima, & Sharif. (2016) Environmental Kuznets curve and financial development in Pakistan. Renew Sustain Energy Rev 54:406–414
doi: 10.1016/j.rser.2015.10.019
Nielsen M, Ravensbeck L, Nielsen R (2014) Green growth in fisheries. Marine Policy 46:43–52. https://doi.org/10.1016/j.marpol.2014.01.003
doi: 10.1016/j.marpol.2014.01.003
Podvalny SL, Podvalny ES, Provotorov VV (2017) The controllability of parabolic systems with delay and distributed parameters on the graph. Proc Comput Sci 103:324–330. https://doi.org/10.1016/j.procs.2017.01.115
doi: 10.1016/j.procs.2017.01.115
Pofoura AK, Sun H, Mensah IA, Liu F (2022) How does eco-innovation affect CO2 emissions? evidence from sub-Saharan Africa. J Environ Assess Policy Manage:2250017. https://doi.org/10.1142/S146433322250017X
Shahzad U, Gupta M, Sharma GD, Rao A, Chopra R (2022) Resolving energy poverty for social change: research directions and agenda. Technol Forecast Soc Change 181:121777. https://doi.org/10.1016/J.TECHFORE.2022.121777
doi: 10.1016/J.TECHFORE.2022.121777
Shaktawat A, Vadhera S (2022) Sustainability assessment of renewable energy performance in context to India using multicriteria analysis with and without incorporating risk analysis. J Environ Assess Policy Manage:2250020. https://doi.org/10.1142/S146433322250020X
Shi Y, Tiwari AK, Gozgor G, Lu Z (2020) Correlations among cryptocurrencies: Evidence from multivariate factor stochastic volatility model. Res Int Business Finance 53. https://doi.org/10.1016/j.ribaf.2020.101231
Sironen S, Mononen L (2018) Spatially referenced decision analysis of long-term forest management scenarios in Southwestern Finland. J Environ Assess Policy Manage 20(03):1850009. https://doi.org/10.1142/S1464333218500096
doi: 10.1142/S1464333218500096
Sun Y, Ding W, Yang Z, Yang G, Du J (2020) Measuring China’s regional inclusive green growth. Sci Total Environ 713. https://doi.org/10.1016/j.scitotenv.2019.136367
Sun L, Fang S, Iqbal S, Bilal AR (2022) Financial stability role on climate risks, and climate change mitigation: implications for green economic recovery. Environ Sci Pollut Res 29(22):33063–33074
Wang Y, Zhi Q (2016) The role of digital finance in environmental protection: two aspects of market mechanism and policies. Energy Proc 104:311–316. https://doi.org/10.1016/j.egypro.2016.12.053
doi: 10.1016/j.egypro.2016.12.053
Wang S, Sun L, Iqbal S (2022) Green financing role on renewable energy dependence and energy transition in E7 economies. Renew Energ 200:1561–1572
Wu L, Xu L (2020) The role of venture capital in SME loans in China. Res Int Business Finance 51. https://doi.org/10.1016/j.ribaf.2019.101081
Yang Y, Liu Z, Saydaliev HB, Iqbal S (2022) The economic impact of crude oil supply disruption on social welfare losses and strategic petroleum reserves. Resour Policy 77:102689. https://doi.org/10.1016/J.RESOURPOL.2022.102689
doi: 10.1016/J.RESOURPOL.2022.102689
Yin X, Xu Z (2022) An empirical analysis of the coupling and coordinative development of China’s digital finance and economic growth. Resour Policy 75. https://doi.org/10.1016/j.resourpol.2021.102476
Zhang L, Huang F, Lu L, Ni X, Iqbal S (2022) Energy financing for energy retrofit in COVID-19: recommendations for green bond financing. Environ Sci Pollut Res 29(16):23105:23116
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
Zhou M, Li X (2022) Influence of digital finance and renewable energy resources over the sustainable development goal of clean energy in China. Resour Policy 78(May):102816. https://doi.org/10.1016/j.resourpol.2022.102816
doi: 10.1016/j.resourpol.2022.102816
Zhao L, Saydaliev HB, Iqbal S (2022) Energy financing, COVID-19 repercussions and climate change: implications for emerging economies. Clim Chang Econ 13(03):2240003