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Optimal path for overcoming barriers in developing China’s wind energy industry

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Abstract

Developing the wind energy industry (WEI) has been a long-term strategy in China for responding to the energy crisis and greenhouse gas emissions. However, China’s WEI faces various barriers despite its favorable prospects. This paper aims to propose a path analysis approach for exploring the best methods and timing for overcoming diverse barriers in developing WEI systematically, especially in terms of revealing in which phases these barriers should take priority. A multidimensional barrier set categorized by institutional, economic and financial, social, technical, and market factors is identified via the integration of a literature review and empirical interviews. A path analysis approach based on the grey group DEMATEL-NK model is constructed, where the causalities and intensities among barriers are extracted to design a path simulation algorithm with heuristics. The optimal path for overcoming barriers in developing the WEI is generated through a simulation of the search and optimization process used to climb to the fitness landscape peak. The results show that the different barriers to completing the legal and regulatory framework should be prioritized to reach adequate financial incentives and coordination among stakeholders, and that an efficient talent cultivation system should be developed and industry-academic cooperation should be strengthened to increase technical and R&D capabilities in the short term. The optimal path presents a strategic instrument for managers to use to better develop sustainable and clean wind energy systems from the novel insights of prioritizing to overcome barriers.

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References

  • Afsharzade N, Papzan A, Ashjaee M, Delangizan S, Van Passel S, Azadi H (2016) Renewable energy development in rural areas of Iran. Renew Sust Energ Rev 65:743–755

    Article  Google Scholar 

  • Bai C, Satir A, Sarkis J (2019) Investing in lean manufacturing practices: an environmental and operational perspective. Int J Prod Res 57(4):1037–1051

    Article  Google Scholar 

  • Beck F, Martinot E (2016) Renewable energy policies and barriers

  • Bruck M, Sandborn P, Goudarzi N (2018) A Levelized Cost of Energy (LCOE) model for wind farms that include Power Purchase Agreements (PPAs). Renew Energy 122:131–139

    Article  Google Scholar 

  • Burke PJ, Widnyana J, Anjum Z, Aisbett E, Resosudarmo B, Baldwin KG (2019) Overcoming barriers to solar and wind energy adoption in two Asian giants: India and Indonesia. Energy Policy 132:1216–1228

    Article  Google Scholar 

  • Caporale D, Sangiorgio V, Amodio A, De Lucia C (2020) Multi-criteria and focus group analysis for social acceptance of wind energy. Energy Policy 140:111387

    Article  Google Scholar 

  • Christensen JL, Hain DS (2017) Knowing where to go: the knowledge foundation for investments in renewable energy. Energy Res Soc Sci 25:124–133

    Article  Google Scholar 

  • Cui Q, He L, Han G, Chen H, Cao J (2020) Review on climate and water resource implications of reducing renewable power curtailment in China: a nexus perspective. Appl Energy 267:115114

    Article  Google Scholar 

  • Dai J, Yang X, Wen L (2018) Development of wind power industry in China: a comprehensive assessment. Renew Sust Energ Rev 97:156–164

    Article  Google Scholar 

  • de Albuquerque Sgarbi F, Uhlig A, Simões AF, Goldemberg J (2019) An assessment of the socioeconomic externalities of hydropower plants in Brazil. Energy Policy 129:868–879

    Article  Google Scholar 

  • de Melo CA, de Martino Jannuzzi G, Bajay SV (2016) Nonconventional renewable energy governance in Brazil: lessons to learn from the German experience. Renew Sust Energ Rev 61:222–234

    Article  Google Scholar 

  • Değirmenci S, Bingöl F, Sofuoglu SC (2018) MCDM analysis of wind energy in Turkey: decision making based on environmental impact. Environ Sci Pollut Res 25(20):19753–19766

    Article  Google Scholar 

  • Diógenes JRF, Claro J, Rodrigues JC, Loureiro MV (2020a) Barriers to onshore wind energy implementation: a systematic review. Energy Res Soc Sci 60:101337

    Article  Google Scholar 

  • Diógenes JRF, Rodrigues JC, Diógenes MCF, Claro J (2020b) Overcoming barriers to onshore wind farm implementation in Brazil. Energy Policy 138:111165

    Article  Google Scholar 

  • Edsand HE (2017) Identifying barriers to wind energy diffusion in Colombia: a function analysis of the technological innovation system and the wider context. Technol Soc 49:1–15

    Article  Google Scholar 

  • Firestone J, Hoen B, Rand J, Elliott D, Hübner G, Pohl J (2018) Reconsidering barriers to wind power projects: community engagement, developer transparency and place. J Environ Policy Plan 20(3):370–386

    Article  Google Scholar 

  • Fontela E, Gabus A (1976) The DEMATEL observer, DEMATEL 1976 report. Battelle Geneva Research Center, Geneva

    Google Scholar 

  • Ganco M (2017) NK model as a representation of innovative search. Res Policy 46(10):1783–1800

    Article  Google Scholar 

  • Gatzert N, Kosub T (2016) Risks and risk management of renewable energy projects: the case of onshore and offshore wind parks. Renew Sust Energ Rev 60:982–998

    Article  Google Scholar 

  • Global Wind Energy Council (2011) Global wind report, annual market update 2010. Brussels, Belgium

  • He Y, Pang Y, Zhang J, Xia T, Zhang T (2015) Feed-in tariff mechanisms for large-scale wind power in China. Renew Sust Energ Rev 51:9–17

    Article  Google Scholar 

  • He ZX, Xu SC, Shen WX, Zhang H, Long RY, Yang H, Chen H (2016) Review of factors affecting China’s offshore wind power industry. Renew Sust Energ Rev 56:1372–1386

    Article  Google Scholar 

  • Hvelplund F, Østergaard PA, Meyer NI (2017) Incentives and barriers for wind power expansion and system integration in Denmark. Energy Policy 107:573–584

    Article  Google Scholar 

  • Irfan M, Zhao ZY, Ahmad M, Batool K, Jan A, Mukeshimana MC (2019) Competitive assessment of Indian wind power industry: a five forces model. J Renew Sustain Energy 11(6):063301

    Article  Google Scholar 

  • Jin X, Rong Y, Zhong X (2014) Wind turbine manufacturing industry in China: current situation and problems. Renew Sust Energ Rev 33:729–735

    Article  Google Scholar 

  • Kauffman SA (1993) The origins of order: self-organization and selection in evolution. Oxford University Press, USA

    Google Scholar 

  • Kolisetty D, Jose B (2018) Indian progress in the renewable technologies: a review on present status, policies, and barriers. Int J Renew Energy Res 8(2):805–819

    Google Scholar 

  • Kumar N, Pal N (2020) The existence of barriers and proposed recommendations for the development of renewable energy in Indian perspective. Environ Dev Sustain 22(3):2187–2205

    Article  Google Scholar 

  • Kumar JCR, Kumar DV, Majid MA (2019) Wind energy programme in India: emerging energy alternatives for sustainable growth. Energy Environ 30(7):1135–1189

    Article  Google Scholar 

  • Lam LT, Branstetter L, Azevedo IM (2017) China’s wind industry: leading in deployment, lagging in innovation. Energy Policy 106:588–599

    Article  Google Scholar 

  • Li CB, Li P, Feng X (2014) Analysis of wind power generation operation management risk in China. Renew Energy 64:266–275

    Article  Google Scholar 

  • Lin B, Chen Y (2019) Impacts of policies on innovation in wind power technologies in China. Appl Energy 247:682–691

    Article  Google Scholar 

  • Ling Y, Cai X (2012) Exploitation and utilization of the wind power and its perspective in China. Renew Sust Energ Rev 16(4):2111–2117

    Article  Google Scholar 

  • Liu C, Wang Y, Zhu R (2017) Assessment of the economic potential of China’s onshore wind electricity. Resour Conserv Recycl 121:33–39

    Article  Google Scholar 

  • Liu S, Bie Z, Lin J, Wang X (2018) Curtailment of renewable energy in Northwest China and market-based solutions. Energy Policy 123:494–502

    Article  Google Scholar 

  • Liu J, Li Y, Lu Y, Fu X, Yan S (2020) Research on the influence factors of ubiquitous power Internet of things for promoting consumption of wind power based on fuzzy G1-ISM in China. Int J Electr Power Energy Syst 121:106124

    Article  Google Scholar 

  • Lu X, McElroy MB, Peng W, Liu S, Nielsen CP, Wang H (2016) Challenges faced by China compared with the US in developing wind power. Nat Energy 1(6):1–6

    Article  Google Scholar 

  • Mao W, Wang W, Sun H (2019a) Driving patterns of industrial green transformation: a multiple regions case learning from China. Sci Total Environ 697:134134

    Article  CAS  Google Scholar 

  • Mao W, Wang W, Luo D, Sun H (2019b) Analyzing interactions between risk factors for ice disaster in Ning-Meng reach of Yellow River based on grey rough DEMATEL method. Nat Hazards 97(3):1025–1049

    Article  Google Scholar 

  • Mao W, Wang W, Sun H (2019c) A grey possibility based hybrid decision method with novel measure functions of grey number. J Intell Fuzzy Syst 37(4):5307–5322

    Article  Google Scholar 

  • Martin N, Rice J (2015) Improving Australia’s renewable energy project policy and planning: a multiple stakeholder analysis. Energy Policy 84:128–141

    Article  Google Scholar 

  • Menezes EJN, Araújo AM, da Silva NSB (2018) A review on wind turbine control and its associated methods. J Clean Prod 174:945–953

    Article  Google Scholar 

  • Mercer N, Sabau G, Klinke A (2017) “Wind energy is not an issue for government”: Barriers to wind energy development in Newfoundland and Labrador, Canada. Energy Policy 108:673–683

    Article  Google Scholar 

  • Nazir MS, Ali ZM, Bilal M, Sohail HM, Iqbal HM (2020) Environmental impacts and risk factors of renewable energy paradigm—a review. Environ Sci Pollut Res 27:33516–33526. https://doi.org/10.1007/s11356-020-09751-8

    Article  Google Scholar 

  • Qi Y, Dong W, Dong C, Huang C (2019) Understanding institutional barriers for wind curtailment in China. Renew Sust Energ Rev 105:476–486

    Article  Google Scholar 

  • Sahu BK (2018) Wind energy developments and policies in China: a short review. Renew Sust Energ Rev 81:1393–1405

    Article  Google Scholar 

  • Schumacher K, Yang Z (2018) The determinants of wind energy growth in the United States: drivers and barriers to state-level development. Renew Sust Energ Rev 97:1–13

    Article  Google Scholar 

  • She ZY, Cao R, Xie BC, Ma JJ, Lan S (2019) An analysis of the wind power development factors by Generalized Bass Model: a case study of China’s eight bases. J Clean Prod 231:1503–1514

    Article  Google Scholar 

  • Shen SV, Cain BE, Hui I (2019) Public receptivity in China towards wind energy generators: a survey experimental approach. Energy Policy 129:619–627

    Article  Google Scholar 

  • Shieh JI, Wu HH, Huang KK (2010) A DEMATEL method in identifying key success factors of hospital service quality. Knowl-Based Syst 23(3):277–282

    Article  Google Scholar 

  • Song F, Bi D, Wei C (2019) Market segmentation and wind curtailment: an empirical analysis. Energy Policy 132:831–838

    Article  Google Scholar 

  • Sun HF, Dang YG, Mao WX (2018) A decision-making method with grey multi-source heterogeneous data and its application in green supplier selection. Int J Environ Res Public Health 15(3):446

    Article  Google Scholar 

  • Sun HF, Dang YG, Mao WX (2019) Identifying key factors of regional agricultural drought vulnerability using a panel data grey combined method. Nat Hazards 98(2):621–642

    Article  Google Scholar 

  • Wang X, Dang Y (2015) Multi-index grey target decision method based on adjustment coefficient. J Intell Fuzzy Syst 29(2):769–775

    Article  Google Scholar 

  • Wang F, Yin H, Li S (2010) China’s renewable energy policy: commitments and challenges. Energy Policy 38(4):1872–1878

    Article  Google Scholar 

  • Wang Z, Qin H, Lewis JI (2012) China’s wind power industry: policy support, technological achievements, and emerging challenges. Energy Policy 51:80–88

    Article  Google Scholar 

  • Wang W, Tian Y, Zhu Q, Zhong Y (2017) Barriers for household e-waste collection in China: perspectives from formal collecting enterprises in Liaoning Province. J Clean Prod 153:299–308

    Article  Google Scholar 

  • Wang L, Cao Q, Zhou L (2018) Research on the influencing factors in coal mine production safety based on the combination of DEMATEL and ISM. Saf Sci 103:51–61

    Article  Google Scholar 

  • Wang KH, Su CW, Lobonţ OR, Moldovan NC (2020) Chinese renewable energy industries’ boom and recession: evidence from bubble detection procedure. Energy Policy 138:111200

    Article  Google Scholar 

  • Wesseh PK Jr, Lin B (2016) A real options valuation of Chinese wind energy technologies for power generation: do benefits from the feed-in tariffs outweigh costs? J Clean Prod 112:1591–1599

    Article  Google Scholar 

  • Wu J, Wang ZX, Wang GQ (2014) The key technologies and development of offshore wind farm in China. Renew Sust Energ Rev 34:453–462

    Article  Google Scholar 

  • Wu Y, Hu Y, Lin X, Li L, Ke Y (2018) Identifying and analyzing barriers to offshore wind power development in China using the grey decision-making trial and evaluation laboratory approach. J Clean Prod 189:853–863

    Article  Google Scholar 

  • Wu G, Wang H, Wu Q (2020) Wind power development in the Belt and Road area of Xinjiang, China: Problems and solutions. Util Policy 64:101024

    Article  Google Scholar 

  • Xia Y (2016) “The Five-Year promise” of offshore wind power: how do we keep it? (In Chinese). Wind Energy 6:30–36

    Google Scholar 

  • Xia F, Lu X, Song F (2020) The role of feed-in tariff in the curtailment of wind power in China. Energy Econ 86:104661

    Article  Google Scholar 

  • Yang JJ, Yang M, Wang MX, Du PJ, Yu YX (2020) A deep reinforcement learning method for managing wind farm uncertainties through energy storage system control and external reserve purchasing. Int J Electr Power Energy Syst 119:105928

    Article  Google Scholar 

  • Yuan L, Xi J (2019) Review on China’s wind power policy (1986–2017). Environ Sci Pollut Res 26(25):25387–25398

    Article  Google Scholar 

  • Zeng B, Zeng M, Xue S, Cheng M, Wang YJ, Feng JJ (2014) Overall review of wind power development in Inner Mongolia: status quo, barriers and solutions. Renew Sust Energ Rev 29:614–624

    Article  Google Scholar 

  • Zhang S, Wang W, Wang L, Zhao X (2015) Review of China’s wind power firms internationalization: status quo, determinants, prospects and policy implications. Renew Sust Energ Rev 43:1333–1342

    Article  Google Scholar 

  • Zhang S, Wei J, Chen X, Zhao Y (2020) China in global wind power development: role, status and impact. Renew Sust Energ Rev 127:109881

    Article  Google Scholar 

  • Zhao ZY, Chang RD, Chen YL (2016) What hinder the further development of wind power in China?—A socio-technical barrier study. Energy Policy 88:465–476

    Article  Google Scholar 

  • Zhao J, Guo Z, Guo Y, Zhang Y, Lin W, Hu J (2019) Wind resource assessment based on numerical simulations and an optimized ensemble system. Energy Convers Manag 201:112164

    Article  Google Scholar 

  • Zhu Y, Zhu C, Song C, Li Y, Chen X, Yong B (2019) Improvement of reliability and wind power generation based on wind turbine real-time condition assessment. Int J Electr Power Energy Syst 113:344–354

    Article  Google Scholar 

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Funding

This paper is supported by the National Natural Science Foundation of China (71771119, 51979106 and 71701105), the Postgraduate Research & Practice Innovation Program of Jiangsu Province (KYCX19_0127), the Key Research Project of Social Science Fund in Jiangsu Province (No. 16GLA001), the Fundamental Research Funds for the Central Universities (NP2017301), and China Scholarship Council.

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Authors and Affiliations

  1. College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Jiangjunlu Campus, Nanjing, 211106, China

    Huifang Sun & Yaoguo Dang

  2. School of Economics and Management, Southeast University, Nanjing, 211189, China

    Wenxin Mao

  3. School of Mathematics and Statistics, North China University of Water Resources and Electric Power, Zhengzhou, 450046, China

    Dang Luo

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  1. Huifang Sun
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  2. Yaoguo Dang
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  3. Wenxin Mao
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  4. Dang Luo
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Contributions

Huifang Sun focuses on the conceptualization, methodology, and writing-original draft. Yaoguo Dang focuses on conceptualization, supervision, and funding acquisition. Wenxin Mao focuses on investigation, methodology, and software. Dang Luo focuses on conceptualization and investigation.

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Correspondence to Huifang Sun.

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Sun, H., Dang, Y., Mao, W. et al. Optimal path for overcoming barriers in developing China’s wind energy industry. Environ Sci Pollut Res 28, 35597–35612 (2021). https://doi.org/10.1007/s11356-021-12531-7

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