首页> 外文期刊>Energy >Empirical analysis and strategy suggestions on the value-added capacity of photovoltaic industry value chain in China
【24h】

Empirical analysis and strategy suggestions on the value-added capacity of photovoltaic industry value chain in China

机译:中国光伏产业价值链增值能力的实证分析与策略建议

获取原文
获取原文并翻译 | 示例
           

摘要

Energy is the foundation and driving force of modernization. Renewable energy has been developed with the help of global environmental awareness. In recent years, supported by the relevant national industrial policies, China's photovoltaic market has developed rapidly and its production capacity is huge. However, the core of supporting the sustainable development of an industry lies in the continuous appreciation of the value of itself. In order to correctly understand the status quo and problems of PV industry value chain in China, based on the "Smile Curve" theory, taking the gross profit rate of PV industry listed companies as sample variables from 2015 to 2017, the research finds that its value chain shows a gradually deepening smile. And to explore the extent to which gross profit margin is affected by various factors, 15 variables are selected from six aspects: internal innovation power, growth potential, profitability, operational efficiency, scale strength and external environment, the Stepwise Regression method is used to determine the optimal model first. Further use Principal Component Analysis to confirm the motivations affecting the value-added of listed companies in the PV industry in the upper, middle and down reaches. The results indicate that only 6 variables have significant effects on the gross profit margin of the PV industry value chain, and there are big diversities in the main influencing factors of the value-added capacity of PV companies in different links, so they should seek their own value-added breakthroughs. (C) 2019 Elsevier Ltd. All rights reserved.
机译:能源是现代化的基础和动力。在全球环境意识的帮助下开发了可再生能源。近年来,在国家相关产业政策的支持下,中国的光伏市场发展迅速,产能巨大。但是,支持行业可持续发展的核心在于对自身价值的不断欣赏。为了正确理解中国光伏产业价值链的现状和问题,基于“微笑曲线”理论,以2015年至2017年光伏产业上市公司的毛利率为样本变量,研究发现其价值链显示出逐渐加深的笑容。为了探索各种因素对毛利率的影响程度,从内部创新能力,增长潜力,盈利能力,运营效率,规模实力和外部环境六个方面选择了15个变量,使用逐步回归法确定最佳模型。进一步使用主成分分析来确定影响上游,中游和下游地区光伏行业上市公司增值的动机。结果表明,仅有6个变量对光伏产业价值链的毛利率有显着影响,不同环节中光伏企业增值能力的主要影响因素差异很大,因此应寻求自己的增值突破。 (C)2019 Elsevier Ltd.保留所有权利。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号