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Determinants of overcapacity in China's renewable energy industry: Evidence from wind, photovoltaic, and biomass energy enterprises

机译:中国可再生能源行业超现代性的决定因素:来自风,光伏和生物量企业的证据

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摘要

This study uses data on 116 listed Chinese equipment manufacturing or material production enterprises in the non-hydropower renewable energy industries (i.e., wind, photovoltaic (PV), and biomass energy) to explore the determinants of overcapacity in the renewable energy industry. A data envelopment analysis model is applied to measure the overcapacity of these enterprises. Relevant data from 2008 to 2016 are regressed using a panel Tobit model with a bootstrap method and accordingly, the mechanism of overcapacity formation is identified from the perspectives of enterprises' profitability level, government subsidy, and the domestic and foreign market structures. The results show that overcapacity differs among China's non-hydropower renewable energy indus-tries?it is the most serious in the PV industry, followed by the wind and biomass industries. Enterprise profitabil-ity, government subsidy, and market structure all significantly impact the overcapacity of the PV industry. Further, the increase in the number of policies will aggravate the overcapacity of the PV industry, but an increase in coor-dination degree of renewable energy industrial policies and financial support could mitigate it. Excessive govern-ment subsidy and the unbalanced market structure at home and abroad are the main reasons for the overcapacity in the wind and biomass industries, respectively. To reduce overcapacity, subsidy standards and thresholds for en -tering and exiting industries should be rigidly controlled by the government. In addition, PV enterprises should focus on improving enterprises' return on assets and pay more attention to domestic market demand, while bio-mass enterprises should actively explore overseas markets. Finally, more attention should be paid to the policies' synergy of the photovoltaic industry and its related industrial rather than the number of policies. ? 2020 Elsevier B.V. All rights reserved.
机译:本研究采用了116个上市的中国设备制造或材料生产企业的数据(即风,光伏(PV)和生物量能源),以探讨可再生能源行业的产能过剩的决定因素。应用数据包络分析模型来衡量这些企业的产能过剩。从2008年到2016年的相关数据使用面板Tobit模型以自动启动方法进行回归,因此,从企业盈利水平,政府补贴和国内外市场结构的角度来确定产能形成的机制。结果表明,中国非水电可再生能源的产能过流度不同?光伏产业中最严重,其次是风和生物质行业。企业利润,政府补贴和市场结构都显着影响了光伏产业的产能过剩。此外,政策数量的增加将加剧光伏产业的产能过剩,但可再生能源产业政策和财政支持的联合型程度的增加可能会减轻它。过度的政府补贴和国内外的不平衡的市场结构分别是风和生物质行业产能过剩的主要原因。为了减少产能过剩,政府应严格控制符合超现代性和退出行业的补贴标准和阈值。此外,光伏企业应重点关注改善企业的资产回报,并更加关注国内市场需求,而生物群众企业则应积极探索海外市场。最后,应更多地关注光伏行业的政策和相关工业的政策,而不是政策数量。还2020 Elsevier B.V.保留所有权利。

著录项

  • 来源
    《Energy economics》 |2021年第5期|105056.1-105056.12|共12页
  • 作者单位

    China Univ Geosci Ctr Energy Environm Management & Decis Making CE2 Wuhan 430074 Peoples R China|China Univ Geosci Sch Econ & Management Wuhan 430074 Peoples R China|Beijing Inst Technol Ctr Energy & Environm Policy Res Beijing 100081 Peoples R China;

    China Univ Geosci Ctr Energy Environm Management & Decis Making CE2 Wuhan 430074 Peoples R China|China Univ Geosci Sch Econ & Management Wuhan 430074 Peoples R China;

    China Univ Geosci Ctr Energy Environm Management & Decis Making CE2 Wuhan 430074 Peoples R China|China Univ Geosci Sch Econ & Management Wuhan 430074 Peoples R China;

    Beijing Normal Univ Business Sch Beijing 100875 Peoples R China;

    Beijing Inst Technol Ctr Energy & Environm Policy Res Beijing 100081 Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Overcapacity; Renewable energy industry; Tobit model; Market supply and demand structure; Subsidy;

    机译:产能过剩;可再生能源行业;Tobit模型;市场供需结构;补贴;

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