摘要
全要素生产率的高低可以在很大程度上解释经济发展成败,认识和提高全要素生产率有助于更好地推动经济高质量发展。本文选取中国24个省(市、自治区)2005-2016年纺织业的面板数据作为样本,运用索洛余值法对纺织业的全要素生产率(TFP)进行测算,从时间和空间维度考察了中国纺织业全要素生产率的变动趋势和幅度,以及空间区域层面上的差异。最终发现中国纺织业的全要素生产率在样本期内有所提高,各区域间存在明显差异。根据研究结果,提出了相应的政策建议。
Economic history shows that the level of total factor productivity can explain the success or failure of economic development to a large extent, and understanding and improving the total factor productivity will help to promote the high-quality development of the economy. This paper selects the panel data of 2005-2016 textile industry in 24 provinces(cities and autonomous regions) of China as a sample, calculates the total factor productivity(TFP) of textile industry by using Solow Residual Method, and investigates the variation trend and range of the textile industry’s total factor productivity in China from the perspective of time and space, as well as the differences at the regional level.Finally, it is found that the total factor productivity of China’s textile industry has increased in the sample period, and there are significant differences among regions. According to the research results, the paper puts forward the corresponding policy suggestions.
出处
《价格理论与实践》
CSSCI
北大核心
2018年第7期147-150,共4页
Price:Theory & Practice
基金
陕西省教育厅2018年度重点科学研究计划项目"基于全要素生产率的新常态下陕西省轻工产业发展环境
动力及战略研究"(项目编号:18JZ011)的成果
陕西科技大学大学生创新创业训练计划项目"基于新常态视角的陕西轻工业发展环境
动力及战略研究"(项目编号:201810708048)的成果
关键词
纺织业
全要素生产率
索洛余值法
区域差异
Textile Industry
Total Factor Productivity
Solow Residual Method
Regional Differences