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Drivers of China’s geographical renewable energy development: evidence from spatial association network structure approaches

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Abstract

The Sustainable Development Goals, championed by the United Nations, have elevated the importance of renewable energy development (RED) within China's energy landscape. As China strives to align its energy goals with these global objectives, it becomes imperative to delve into the intricate spatial dynamics of renewable energy. This study employs a modified gravity model and harness the power of social network analysis to scrutinize the landscape of RED in 30 Chinese provinces from 2012 to 2021. The findings reveal a captivating narrative of transformation. Over the years, we have witnessed shifts in the general trajectory of RED across China and nuanced variations within each province. The spatial network underpins RED's growth as a multifaceted tapestry, showing stability and adaptability. It paints a vivid picture of interconnected provinces with telltale signs of spatial spillover effects. Amid this intricate web emerges a core–edge pattern, signifying the ascent of core regions while the peripheries undergo a contraction. Nevertheless, beneath the surface, the demographics of network components play a significant role, contributing to the rich tapestry of RED variations across provinces. This spatial network thrives on the disparities in industrial policy, economic development, system adjacency, transportation infrastructure, and the diverse political systems across the Chinese provinces. In light of these compelling findings, our call to action is clear. Policymakers would reinforce their commitment to RED, encouraging regional collaboration and harmonizing policies to accelerate China's journey towards sustainable energy goals.

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Notes

  1. https://www.dentons.com/en/insights/articles/2022/april/21/status-and-trends-a-bird-s-eye-view-of-the-chinese-electricity-market.

References

  • Abbas S, Gui P, Chen A et al (2022) The effect of renewable energy development, market regulation, and environmental innovation on CO2 emissions in BRICS countries. Environ Sci Pollut Res 29:59483–59501. https://doi.org/10.1007/s11356-022-20013-7

    Article  Google Scholar 

  • Abdmouleh Z, Alammari RA, Gastli A (2015) Review of policies encouraging renewable energy integration and best practices. Renew Sustain Energy Rev 45:249–262

    Article  Google Scholar 

  • Abeka MJ, Amoah EK, Owusu Appiah M, Gatsi JG, Obuobi NK, Boateng E (2022) Economic institutions, political institutions and renewable energy production in Africa. J Afr Bus 23(4):1049–1066

    Article  Google Scholar 

  • Adedoyin FF, Bekun FV, Alola AA (2020) Growth impact of transition from non-renewable to renewable energy in the EU: the role of research and development expenditure. Renew Energy 159:1139–1145

    Article  Google Scholar 

  • Aguirre M, Ibikunle G (2014) Determinants of renewable energy growth: a global sample analysis. Energy Policy 69:374–384

    Article  Google Scholar 

  • Ahuja G (2000) Collaboration networks, structural holes, and innovation: a longitudinal study. Adm Sci Q 45(3):425–455

    Article  Google Scholar 

  • Anderson JE (1979) A theoretical foundation for the gravity equation. Am Econ Rev 69(1):106–116

    Google Scholar 

  • Apergis N, Eleftheriou S (2016) Gold returns: do business cycle asymmetries matter? Evidence from an international country sample. Econ Model 57:164–170. https://doi.org/10.1016/j.econmod.2016.04.020

    Article  Google Scholar 

  • Apergis N, Payne JE (2014) Renewable energy, output, CO2 emissions, and fossil fuel prices in Central America: evidence from a nonlinear panel smooth transition vector error correction model. Energy Econ 42:226–232

    Article  Google Scholar 

  • Arnette A, Zobel CW (2012) An optimisation model for regional renewable energy development. Renew Sustain Energy Rev 16(7):4606–4615

    Article  Google Scholar 

  • Awan A, Abbasi KR, Rej S, Bandyopadhyay A, Lv K (2022) The impact of renewable energy, internet use and foreign direct investment on carbon dioxide emissions: a method of moments quantile analysis. Renew Energy 189:454–466

    Article  Google Scholar 

  • Bai C, Zhou L, Xia M, Feng C (2020) Analysis of the spatial association network structure of China’s transportation carbon emissions and its driving factors. J Environ Manag 253:109765

    Article  Google Scholar 

  • Bao C, Fang CL (2013) Geographical and environmental perspectives for the sustainable development of renewable energy in urbanising China. Renew Sustain Energy Rev 27:464–474

    Article  Google Scholar 

  • Bao C, Wang H (2019) Trans-provincial convergence of per capita energy consumption in urban China, 1990–2015. Sustainability 11(5):1431

    Article  Google Scholar 

  • Beck F, Martinot E (2004) Renewable energy policies and barriers. Encyclopedia of Energy, pp 365–383

  • Biresselioglu ME, Karaibrahimoglu YZ (2012) The government orientation and use of renewable energy: case of Europe. Renew Energy 47:29–37

    Article  Google Scholar 

  • Bistline J, Santen N, Young D (2019) The economic geography of variable renewable energy and impacts of trade formulations for renewable mandates. Renew Sustain Energy Rev 106:79–96

    Article  Google Scholar 

  • Bogdanov D, Ram M, Aghahosseini A, Gulagi A, Oyewo AS, Child M, Caldera U, Sadovskaia K, Farfan J, Barbosa LD, Fasihi M, Breyer C (2021) Low-cost renewable electricity as the key driver of the global energy transition towards sustainability. Energy 227:120467

    Article  Google Scholar 

  • Burt RS (1995) Structural holes: the social structure of competition. Harvard University Press, Harvard

    Google Scholar 

  • Burt RS (2002) The social capital of structural holes. The new economic sociology: developments in an emerging field. In: The new economic sociology: developments in an emerging field. vol 148, no 90. Russell Sage Foundation, pp 201–247. http://www.jstor.org/stable/10.7758/9781610442602

  • Calvert K, Pearce JM, Mabee WE (2013) Toward renewable energy geo-information infrastructures: applications of GIScience and remote sensing that build institutional capacity. Renew Sustain Energy Rev 18:416–429

    Article  Google Scholar 

  • Cannella AA Jr, McFadyen MA (2016) Changing the exchange: The dynamics of knowledge worker ego networks. J Manag 42(4):1005–1029

    Google Scholar 

  • Carbaugh RJ, St Brown M (2012) Industrial policy and renewable energy: trade conflicts. J Int Glob Econ Stud

  • Carrington PJ, Scott J, Wasserman S (eds) (2005) Models and methods in social network analysis, vol 28. Cambridge University Press. https://doi.org/10.1017/CBO9780511811395

    Book  Google Scholar 

  • Cassi L, Morrison A, Ter Wal AL (2012) The evolution of trade and scientific collaboration networks in the global wine sector: a longitudinal study using network analysis. Econ Geogr 88(3):311–334

    Article  Google Scholar 

  • Chang CT, Lee HC (2016) Taiwan’s renewable energy strategy and energy-intensive industrial policy. Renew Sustain Energy Rev 64:456–465

    Article  Google Scholar 

  • Chen Y (2018) Factors influencing renewable energy consumption in China: an empirical analysis based on provincial panel data. J Clean Prod 174:605–615

    Article  Google Scholar 

  • Chen Z, Sarkar A, Rahman A, Li X, Xia X (2022) Exploring the drivers of green agricultural development (GAD) in China: a spatial association network structure approaches. Land Use Policy 112:105827

    Article  Google Scholar 

  • Chiu D (2017) The East is green: China’s global leadership in renewable energy. New Perspect Foreign Policy 13:3–12

    Google Scholar 

  • Clark WV, Rushton G, Golledge RG (1970) The spatial structure of the iowa urban network. Geogr Anal 2:301–313. https://doi.org/10.1111/j.1538-4632.1970.tb00861.x

    Article  Google Scholar 

  • Contesse M, Van Vliet BJ, Lenhart J (2018) Is urban agriculture urban green space? A comparison of policy arrangements for urban green space and urban agriculture in Santiago de Chile. Land Use Policy 71:566–577

    Article  Google Scholar 

  • Curran L, Lv P, Spigarelli F (2017) Chinese investment in the EU renewable energy sector: Motives, synergies and policy implications. Energy Policy 101:670–682

    Article  Google Scholar 

  • Darmani A, Arvidsson N, Hidalgo A, Albors J (2014) What drives the development of renewable energy technologies? Toward a typology for the systemic drivers. Renew Sustain Energy Rev 38:834–847

    Article  Google Scholar 

  • Das K, Samanta S, Pal M (2018) Study on centrality measures in social networks: a survey. Soc Netw Anal Min 8(1):1–11

    Article  Google Scholar 

  • Delgado A, Romero I (2016) Environmental conflict analysis using an integrated grey clustering and entropy-weight method: A case study of a mining project in Peru. Environ Model Softw 77:108–121

    Article  Google Scholar 

  • Dogan E, Seker F (2016) The influence of real output, renewable and non-renewable energy, trade and financial development on carbon emissions in the top renewable energy countries. Renew Sustain Energy Rev 60:1074–1085

    Article  Google Scholar 

  • Doreian P, Conti N (2012) Social context, spatial structure and social network structure. Soc Netw 34(1):32–46

    Article  Google Scholar 

  • Dow MM, Cheverud JM (1985) Comparison of distance matrices in studies of population structure and genetic microdifferentiation: quadratic assignment. Am J Phys Anthropol 68(3):367–373

    Article  Google Scholar 

  • Dulal HB, Shah KU, Sapkota C, Uma G, Kandel BR (2013) Renewable energy diffusion in Asia: Can it happen without government support? Energy Policy 59:301–311

    Article  Google Scholar 

  • Elavarasan RM, Shafiullah GM, Padmanaban S, Kumar NM, Annam A, Vetrichelvan AM, Mihet-Popa L, Holm-Nielsen JB (2020) A comprehensive review on renewable energy development, challenges, and policies of leading Indian states with an international perspective. IEEE Access 8:74432–74457

    Article  Google Scholar 

  • Fan J, Wang J, Wei S, Zhang X (2018) The development of China’s renewable energy policy and implications to Africa. In: IOP conference series: materials science and engineering, vol 394, no. 4. IOP Publishing, p 042034

  • Fan W, Hao Y (2020) An empirical research on the relationship amongst renewable energy consumption, economic growth and foreign direct investment in China. Renew Energy 146:598–609

    Article  Google Scholar 

  • Fang W, Liu Z, Putra ARS (2022) Role of research and development in green economic growth through renewable energy development: empirical evidence from South Asia. Renew Energy 194:1142–1152

    Article  Google Scholar 

  • Gan C, Voda M, Wang K, Chen L, Ye J (2021) Spatial network structure of the tourism economy in urban agglomeration: a social network analysis. J Hosp Tour Manag 47:124–133

    Article  Google Scholar 

  • Gargiulo M, Benassi M (2000) Trapped in your own net? Network cohesion, structural holes, and the adaptation of social capital. Organ Sci 11(2):183–196

    Article  Google Scholar 

  • GhaffarianHoseini A, Ibrahim R, Baharuddin MN, GhaffarianHoseini A (2011) Creating green culturally responsive intelligent buildings: socio-cultural and environmental influences. Intell Build Int 3(1):5–23

    Article  Google Scholar 

  • Glueckler J, Doreian P (2016) Social network analysis and economic geography—positional, evolutionary and multi-level approaches. J Econ Geogr 16(6):1123–1134

    Google Scholar 

  • Gonzalez-Brambila CN, Veloso FM, Krackhardt D (2013) The impact of network embeddedness on research output. Res Policy 42(9):1555–1567

    Article  Google Scholar 

  • Gulati R (1995) Social structure and alliance formation patterns: a longitudinal analysis. Adm Sci Q 40(4):619–652

    Article  Google Scholar 

  • Hailemariam A, Ivanovski K, Dzhumashev R (2022) Does R&D investment in renewable energy technologies reduce greenhouse gas emissions? Appl Energy 327:120056

    Article  Google Scholar 

  • He YY, Wei ZX, Liu GQ, Zhou P (2020) Spatial network analysis of carbon emissions from the electricity sector in China. J Clean Prod 262:121193

    Article  Google Scholar 

  • Higueras-Castillo E, Liébana-Cabanillas FJ, Muñoz-Leiva F, Molinillo S (2019) The role of collectivism in modeling the adoption of renewable energies: A cross-cultural approach. Int J Environ Sci Technol 16(4):2143–2160

    Article  Google Scholar 

  • Huang Q, Wong DW (2016) Activity patterns, socioeconomic status and urban spatial structure: what can social media data tell us? Int J Geogr Inf Sci 30(9):1873–1898

    Article  Google Scholar 

  • Huang M, Wang Z, Chen T (2019) Analysis on the theory and practice of industrial symbiosis based on bibliometrics and social network analysis. J Clean Prod 213:956–967

    Article  Google Scholar 

  • Ibrahiem DM, Hanafy SA (2021) Do energy security and environmental quality contribute to renewable energy? The role of trade openness and energy use in North African countries. Renew Energy 179:667–678

    Article  Google Scholar 

  • [IEA] - International Energy Agency (2020) World energy outlook. Paris, p 2020

  • Jacobson MZ, Delucchi MA, Cameron MA, Mathiesen BV (2018) Matching demand with supply at low cost in 139 countries among 20 world regions with 100% intermittent wind, water, and sunlight (WWS) for all purposes. Renew Energy 123:236–248

    Article  Google Scholar 

  • Jacobson MZ, Delucchi MA, Cameron MA, Coughlin SJ, Hay CA, Manogaran IP, Shu Y, Von Krauland AK (2019) Impacts of green new deal energy plans on grid stability, costs, jobs, health, and climate in 143 countries. One Earth 1(4):449–463

    Article  Google Scholar 

  • Ji Q, Zhang D (2019) How much does financial development contribute to renewable energy growth and upgrading of energy structure in China? Energy Policy 128:114–124

    Article  Google Scholar 

  • Johnstone N, Haščič I, Popp D (2010) Renewable energy policies and technological innovation: evidence based on patent counts. Environ Resour Econ 45(1):133–155

    Article  Google Scholar 

  • Nieminen J (1974) On the centrality in a graph. Scand J Psychol. https://doi.org/10.1111/j.1467-9450.1974.tb00598.x

    Article  Google Scholar 

  • Khan S, Yahong W (2021) Symmetric and asymmetric impact of poverty, income inequality, and population on carbon emission in Pakistan: new evidence from ARDL and NARDL co-integration. Front Environ Sci 9:666362

    Article  Google Scholar 

  • Koseoglu NM, van den Bergh JC, Lacerda JS (2013) Allocating subsidies to R&D or to market applications of renewable energy? Balance and geographical relevance. Energy Sustain Dev 17(5):536–545

    Article  Google Scholar 

  • Koskinen O, Breyer C (2016) Energy storage in global and transcontinental energy scenarios: a critical review. Energy Procedia 99:53–63

    Article  Google Scholar 

  • Lawler EL (1963) The quadratic assignment problem. Manag Sci 9(4):586–599

    Article  Google Scholar 

  • Li T, Li A, Guo X (2020) The sustainable development-oriented development and utilisation of renewable energy industry—a comprehensive analysis of MCDM methods. Energy 212:118694

    Article  Google Scholar 

  • Lin B, Moubarak M (2014) Renewable energy consumption–economic growth nexus for China. Renew Sustain Energy Rev 40:111–117

    Article  Google Scholar 

  • Lin B, Zhu J (2019a) Determinants of renewable energy technological innovation in China under CO2 emissions constraint. J Environ Manag 247:662–671

    Article  Google Scholar 

  • Lin B, Zhu J (2019b) The role of renewable energy technological innovation on climate change: empirical evidence from China. Sci Total Environ 659:1505–1512

    Article  Google Scholar 

  • Lin B, Omoju OE, Okonkwo JU (2016) Factors influencing renewable electricity consumption in China. Renew Sustain Energy Rev 55:687–696

    Article  Google Scholar 

  • Lin Q, Jin S, Zong Y et al (2021) High-efficiency prime editing with optimized, paired pegRNAs in plants. Nat Biotechnol 39:923–927. https://doi.org/10.1038/s41587-021-00868-w

    Article  Google Scholar 

  • Liu H, Liang D (2013) A review of clean energy innovation and technology transfer in China. Renew Sustain Energy Rev 18:486–498

    Article  Google Scholar 

  • Liu W, Lund H, Mathiesen BV, Zhang X (2011) Potential of renewable energy systems in China. Appl Energy 88(2):518–525

    Article  Google Scholar 

  • Lo K (2014) A critical review of China’s rapidly developing renewable energy and energy efficiency policies. Renew Sustain Energy Rev 29:508–516

    Article  Google Scholar 

  • Löffler K, Hainsch K, Burandt T, Oei PY, Kemfert C, Von Hirschhausen C (2017) Designing a model for the global energy system—GENeSYS-MOD: an application of the open-source energy modeling system (OSeMOSYS). Energies 10(10):1468

    Article  Google Scholar 

  • Loiola EM, de Abreu NMM, Boaventura-Netto PO, Hahn P, Querido T (2007) A survey for the quadratic assignment problem. Eur J Oper Res 176(2):657–690

    Article  Google Scholar 

  • Lou T, Tang J (2013) Mining structural hole spanners through information diffusion in social networks. In: Proceedings of the 22nd international conference on World Wide Web, pp 825–836

  • Lovrić M, Da Re R, Vidale E, Pettenella D, Mavsar R (2018) Social network analysis as a tool for the analysis of international trade of wood and non-wood forest products. For Policy Econ 86:45–66

    Article  Google Scholar 

  • Lu Z, Tan J (2016) Construction of Guangxi green agricultural development level evaluation index system. Agric Netw Inf 11:12–15

    Google Scholar 

  • Luderer G, Madeddu S, Merfort L, Ueckerdt F, Pehl M, Pietzcker R, Rottoli M, Schreyer F, Bauer N, Baumstark L, Bertram C, Kriegler E (2022) Impact of declining renewable energy costs on electrification in low-emission scenarios. Nat Energy 7(1):32–42

    Article  Google Scholar 

  • Lui GC, Li WK, Leung KM, Lee JH, Jayawardena AW (2007) Modelling algal blooms using vector autoregressive model with exogenous variables and long memory filter. Ecol Model 200(1–2):130–138

    Article  Google Scholar 

  • Marques AC, Fuinhas JA, Manso JP (2010) Motivations driving renewable energy in European countries: a panel data approach. Energy Policy 38(11):6877–6885

    Article  Google Scholar 

  • Mathiesen BV, Lund H, Nørgaard P (2008) Integrated transport and renewable energy systems. Utilities Policy 16(2):107–116

    Article  Google Scholar 

  • Misevicius A (2003) Genetic algorithm hybridised with ruin and recreate procedure: application to the quadratic assignment problem. In: Research and development in intelligent systems, vol 19. Springer, London, pp 163–176

  • Naraine ML, Parent MM (2016) Illuminating centralised users in the social media ego network of two national sport organisations. J Sport Manag 30(6):689–701

    Article  Google Scholar 

  • National Bureau of Statistics (2015) China energy statistics yearbook. China Statistics Publisher, Beijing

    Google Scholar 

  • National Bureau of Statistics (2016) China power yearbook. China Statistics Publisher, Beijing

    Google Scholar 

  • NBSC (2015) National bureau of statistics of China. http://www.stats.gov.cn/

  • Pfeiffer B, Mulder P (2013) Explaining the diffusion of renewable energy technology in developing countries. Energy Econ 40:285–296

    Article  Google Scholar 

  • Polzin F, Sanders M, Täube F (2017) A diverse and resilient financial system for investments in the energy transition. Curr Opin Environ Sustain 28:24–32. https://doi.org/10.1016/j.cosust.2017.07.004

    Article  Google Scholar 

  • Pursiheimo E, Holttinen H, Koljonen T (2019) Inter-sectoral effects of high renewable energy share in global energy system. Renew Energy 136:1119–1129

    Article  Google Scholar 

  • Rafiq S, Bloch H, Salim R (2014) Determinants of renewable energy adoption in China and India: a comparative analysis. Appl Econ 46(22):2700–2710

    Article  Google Scholar 

  • Rahman J, Dimand RW (2021) The emergence of geographical economics: at the contested boundaries of economics, geography, and regional science. J Hist Econ Thought 43(2):241–261

    Article  Google Scholar 

  • Rahman A, Dargusch P, Wadley D (2021) The political economy of oil supply in Indonesia and the implications for renewable energy development. Renew Sustain Energy Rev 144:111027

    Article  Google Scholar 

  • Rehman MU, Bouri E, Eraslan V, Kumar S (2019) Energy and non-energy commodities: an asymmetric approach towards portfolio diversification in the commodity market. Resour Policy 63:101456. https://doi.org/10.1016/j.resourpol.2019.101456

    Article  Google Scholar 

  • Saadaoui H (2022) The impact of financial development on renewable energy development in the MENA region: the role of institutional and political factors. Environ Sci Pollut Res 29(26):39461–39472

    Article  Google Scholar 

  • Sadorsky P (2009) Renewable energy consumption and income in emerging economies. Energy Policy 37(10):4021–4028

    Article  Google Scholar 

  • Secretariat R (2020) Renewables 2020 global status report. Rep. Paris: REN12

  • Shen J, Luo C (2015) Overall review of renewable energy subsidy policies in China-contradictions of intentions and effects. Renew Sustain Energy Rev 41:1478–1488

    Article  Google Scholar 

  • Shortall R, Kharrazi A (2017) Cultural factors of sustainable energy development: a case study of geothermal energy in Iceland and Japan. Renew Sustain Energy Rev 79:101–109

    Article  Google Scholar 

  • Smith DA, White DR (1992) Structure and dynamics of the global economy: network analysis of international trade 1965–1980. Soc Forces 70(4):857–893

    Article  Google Scholar 

  • Sovacool BK (2009) The cultural barriers to renewable energy and energy efficiency in the United States. Technol Soc 31(4):365–373

    Article  Google Scholar 

  • Struik PC, Kuyper TW (2017) Sustainable intensification in agriculture: the richer shade of green. A Review. Agron Sustain Dev 37(5):1–15

    Article  Google Scholar 

  • Su Y, Yu YQ (2019) Spatial association effect of regional pollution control. J Clean Prod 213:540–552

    Article  Google Scholar 

  • Sun Y, Razzaq A, Sun H, Irfan M (2022) The asymmetric influence of renewable energy and green innovation on carbon neutrality in China: analysis from non-linear ARDL model. Renew Energy 193:334–343. https://doi.org/10.1016/j.renene.2022.04.159

    Article  Google Scholar 

  • Taalbi J (2017) What drives innovation? Evidence from economic history. Res Policy 46(8):1437–1453

    Article  Google Scholar 

  • Teske S (2019) Achieving the Paris climate agreement goals: Global and regional 100% renewable energy scenarios with non-energy GHG pathways for+ 1.5 C and+ 2 C. Springer, New York, p 491

    Book  Google Scholar 

  • Wang J (2016) Knowledge creation in collaboration networks: Effects of tie configuration. Res Policy 45(1):68–80

    Article  Google Scholar 

  • Wang C, Rodan S, Fruin M, Xu X (2014) Knowledge networks, collaboration networks, and exploratory innovation. Acad Manag J 57(2):484–514

    Article  Google Scholar 

  • Wang Q, Li S, Pisarenko Z (2020) Heterogeneous effects of energy efficiency, oil price, environmental pressure, R&D investment, and policy on renewable energy–evidence from the G20 countries. Energy 209:118322

    Article  Google Scholar 

  • Wang Y, Chen Z, Wang X, Hou M, Wei F (2021) Research on the spatial network structure and influencing factors of the allocation efficiency of agricultural science and technology resources in China. Agriculture 11(11):1170

    Article  Google Scholar 

  • Wasserman S, Faust K (1994) Social network analysis: methods and applications. Cambridge University Press, Cambridge

    Book  Google Scholar 

  • Wei X, Mohsin M, Zhang Q (2022) Role of foreign direct investment and economic growth in renewable energy development. Renew Energy 192:828–837

    Article  Google Scholar 

  • White HC, Boorman SA, Breiger RL (1976) Social structure from multiple networks. I. Blockmodels of roles and positions. Am J Sociol 81(4):730–780

    Article  Google Scholar 

  • Yan Y, Guan J (2018) Social capital, exploitative and exploratory innovations: The mediating roles of ego-network dynamics. Technol Forecast Soc Chang 126:244–258

    Article  Google Scholar 

  • Yang XJ, Hu H, Tan T, Li J (2016) China’s renewable energy goals by 2050. Environ Dev 20:83–90

    Article  Google Scholar 

  • Yu F, Guo Y, Le-Nguyen K, Barnes SJ, Zhang W (2016) The impact of government subsidies and enterprises’ R&D investment: a panel data study from renewable energy in China. Energy Policy 89:106–113

    Article  Google Scholar 

  • Yu Z, Ridwan IL, Tanveer M, Khan SAR (2023) Investigating the nexuses between transportation Infrastructure, renewable energy sources, and economic growth: striving towards sustainable development. Ain Shams Eng J 14(2):101843

    Article  Google Scholar 

  • Zhang Q, Wang Y (2018) Struggling towards virtuous coevolution: institutional and strategic works of Alibaba in building the Taobao e-commerce ecosystem. Asian Bus Manag 17(3):208–242

    Article  Google Scholar 

  • Zhang S, Andrews-Speed P, Zhao X, He Y (2013) Interactions between renewable energy policy and renewable energy industrial policy: a critical analysis of China’s policy approach to renewable energies. Energy Policy 62:342–353

    Article  Google Scholar 

  • Zhang D, Wang J, Lin Y, Si Y, Huang C, Yang J, Huang B, Li W (2017) Present situation and future prospect of renewable energy in China. Renew Sustain Energy Rev 76:865–871

    Article  Google Scholar 

  • Zhao Y, Tang KK, Wang LL (2013) Do renewable electricity policies promote renewable electricity generation? Evidence from panel data? Energy Policy 62:887–897

    Article  Google Scholar 

  • Zhao X, Luo D (2017) Driving force of rising renewable energy in China: environment, regulation and employment. Renew Sustain Energy Rev 68:48–56

    Article  Google Scholar 

  • Zhao P, Zhang Z (2018) TNF-alpha promotes colon cancer cell migration and invasion by upregulating TROP-2. Oncol Lett 15:3820–3827

    Google Scholar 

  • Zhu B, Zhang M, Zhou Y, Wang P, Sheng J, He K, Wei Y-M, Xie R (2019) Exploring the effect of industrial structure adjustment on interprovincial green development efffciency in China: a novel integrated approach. Energy Policy 134:110946. https://doi.org/10.1016/j.enpol.2019.110946

    Article  Google Scholar 

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Acknowledgements

This research is supported by the National Social Science Foundation of China (Grant number: 23CJY082).

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  1. School of Economics, Tianjin University of Commerce, Tianjin, People’s Republic of China

    Yunpeng Sun & Ruoya Jia

  2. Research Division, CAREC Institute, Urumqi, 830000, People’s Republic of China

    Asif Razzaq

  3. School of Economics, Nankai University, Tianjin, People’s Republic of China

    Qun Bao

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Sun, Y., Jia, R., Razzaq, A. et al. Drivers of China’s geographical renewable energy development: evidence from spatial association network structure approaches. Econ Change Restruct 56, 4115–4163 (2023). https://doi.org/10.1007/s10644-023-09573-x

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