DOI: 10.3390/su12041354
论文题名: Provincial quality of economic growth: Measurements and influencing factors for China
作者: Ru S. ; Liu J. ; Wang T. ; Wei G.
刊名: Sustainability (Switzerland)
ISSN: 20711050
出版年: 2020
卷: 12, 期: 4 语种: 英语
英文关键词: Direction distance function
; Endogenous economic growth theory
; Global Malmquist-Luenberger index
; Quality of economic growth index
英文摘要: An extended total factor productivity method is developed for measuring the quality of economic growth (QEG). Specifically, criteria for judging the QEG are first elaborated using endogenous economic growth theory, and subsequently, an assessment index system for evaluating QEG is constructed. In this system, the production factors primarily include labor, material capital, education, medical and health, environmental resource, and social security, while the output indexes comprise the gross domestic product (GDP), employment rate, income gap, and environmental pollution. In the empirical study, the directional distance function and Global Malmquist-Luenberger index are implemented to examine theQEGin China from2000 to 2016 by provinces, regions, and factor decomposition, respectively. The global scale technological change and global pure technological change are the main sources for improving the QEG. The results also reveal a considerable widespread inefficiency and uneven development of the QEG. In general, from the eastern to western to central regions, the QEG becomes noticeably lower; The investment level is not only a driving force for economic growth, but also a source for boosting the QEG. These findings will provide a reference for China in adjusting relevant investments, ameliorating environmental conditions, and accomplishing the unity of quantity, quality, and efficiency in economic growth. © 2020 by the author. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/159617
Appears in Collections: 气候变化与战略
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作者单位: School of Economics and Management, Northwest University, Xi'an, 710127, China; Department of Mathematical Sciences, New Mexico State University, Las Cruces, NM 88003, United States; Department of Mathematics and Computer Science, University of North Carolina at Pembroke, Pembroke, NC 28372, United States
Recommended Citation:
Ru S.,Liu J.,Wang T.,et al. Provincial quality of economic growth: Measurements and influencing factors for China[J]. Sustainability (Switzerland),2020-01-01,12(4)