基于Tobit模型的光伏产业影响因素实证分析  

Empirical Analysis on the Factors Affecting the Photovoltaic Industry Based on Tobit Model

作　　者：陈斯琴[1] 刘旭东[1] 长青[1] 

机构地区：[1]内蒙古工业大学管理学院,内蒙古呼和浩特010051

出　　处：《科技管理研究》2017年第9期144-148,共5页Science and Technology Management Research

基　　金：内蒙古自治区高等学校创新团队发展计划项目"内蒙古资源型产业的工业技术经济分析和管理优化研究"(NMGIRT1404);国家软科学研究计划项目"基于产业技术路线分析的内蒙古动态循环经济发展研究"(2014GXS4D091);内蒙古自治区高等学校哲学社会科学研究重大攻关项目"动态循环经济规划模式及其在内蒙古的应用研究"(NJSG201203)

摘　　要：从微观角度出发,以2007—2014年19家公司相对效率值为因变量,以偿债能力、运营能力、人均产值、研发能力、市场服务水平以及产业政策颁布种类数目等6个指标作为自变量建立Tobit回归模型,考察中、美、日、韩四国产业发展变化及产业影响因素。研究结果显示,资产周转率和销售费用率对企业效率影响最为显著,政策实施可对产业发展起到促进或者抑制的作用。提出光伏产业规模与能力协调发展以及处理好政策与效率的关系。From the microscopic point of view, this paper takes the relative efficiency of 19 companies from 2007 to 2014 as the dependent variable, and takes six indicators as independent variables including its solvency, operation capacity, per capita output, research and development capabilities, the service level of market, and industrial policy promulgated species number to establish a Tobit regression model. The paper carries out the investigation on the industry development change and industrial factors in China, the United States, Japan and South Korea. The results show that asset turnover rate and cost of sales rate have the most obvious influence on the efficiency of enterprises; the implementation of the policy can promote or inhibit the industry development. The paper proposes the coordinated development between scale and capacity, and the coordinated relationship between policy and efficiency.

关 键 词：光伏产业 TOBIT模型 相对效率 

分 类 号：F224[经济管理—国民经济] F416.61