文献类型：期刊文献

英文题名：Static High-Quality Development Efficiency and Its Dynamic Changes for China: A Non-Radial Directional Distance Function and a Metafrontier Non-Radial Malmquist Model

作者：Duan, Hua[1,2];Li, Bin[1];Wang, Qi[2]

第一作者：段华;Duan, Hua

通讯作者：Wang, Q[1]

机构：[1]Beijing Univ Chem Technol, Sch Econ & Management, Beijing 100029, Peoples R China;[2]Beijing Union Univ, Sch Management, Beijing 100101, Peoples R China

第一机构：Beijing Univ Chem Technol, Sch Econ & Management, Beijing 100029, Peoples R China

通讯机构：[1]corresponding author), Beijing Union Univ, Sch Management, Beijing 100101, Peoples R China.|[1141755]北京联合大学管理学院;[11417]北京联合大学;

年份：2024

卷号：12

期号：15

外文期刊名：MATHEMATICS

收录：;Scopus(收录号：2-s2.0-85200762771);WOS:【SCI-EXPANDED(收录号:WOS:001287013000001)】；

基金：This research was funded by the National Natural Science Foundation of China (NSFC),(grant No. 72274018), the Project of Cultivation for Young Top-notch Talents of Beijing Municipal Institutions, (grant No. BPHR202203222), and the Academic Research Projects of Beijing Union University, (grant No.SK10202401).

语种：英文

外文关键词：total-factor non-radial directional distance function; static total-factor high-quality development efficiency index; dynamic metafrontier non-radial Malmquist high-quality development efficiency index

摘要：Improving China's high-quality development efficiency represents a key lever for the development of new productivity and successfully achieving the "dual carbon" goal. Starting from the nonparametric production theory, this paper addresses the issues of infeasible solutions and technical heterogeneity by employing the total-factor non-radial directional distance function and a metafrontier non-radial Malmquist model. The static total-factor high-quality development efficiency index (THEI) and its dynamic metafrontier non-radial Malmquist high-quality development efficiency index (MNMHEI) are measured for 31 provinces in China from 2008 to 2021. Given that high-quality development efficiency is led and driven by talent, we use labor of different ages and levels of education as four inputs instead of single labor for the study of THEI. The MNMHEI is divided into three indices for measuring efficiency change (EC), best-practice gap change (BPC), and technology gap change (TGC). The empirical results demonstrate that labor with higher education is the main lever of static high-quality development efficiency; there is a 5.3% decrease in China's dynamic high-quality development efficiency as a whole, and a lack of technological innovation remains a significant constraint on its improvement. The results of the heterogeneity analysis, which classified all provincial areas into low-carbon and high-carbon regions, indicate that the former exhibits a higher dynamic high-quality development efficiency than the latter, which still lacks innovation and technology leadership. It is recommended that the Chinese government consider the talent management system, investments in upgrading technologies, energy conservation, and emission reduction for high-carbon regions to improve their high-quality development efficiency.