Related Experiment Video
Updated: Sep 7, 2025

Investigating the Relationship between Sea Surface Chlorophyll and Major Features of the South China Sea with Satellite Information
Published on: June 13, 2020
Convergence of green total factor productivity in China's service industry
Zhenqiu Wu1, Cailin Zeng2, Wenying Huang1
1Economics and Trade Department, School of Business Administration, Zhongnan University of Economics and Law, No. 182, Nanhu Avenue, Donghu New Technology Development Zone, Hubei Province, Wuhan, 430073, China.
Abstract:
With the rising global concern over environment and energy issues, there are many scholars incorporating them into total factor productivity (TFP) analytical framework. This paper aims to outline the dynamic change trend and convergence characteristics of green total factor productivity (GTFP) of 14 sub-sectors in China's service industry. This is of great significance to the coordinated development and green transformation of sub-sectors of China's service industry. This paper commences to gauge and decompose GTFP of China's service industry by cutting-edge epsilon-based measure (EBM) generalizing slacks-based measure (SBM) and radial measure as well as Global Malmquist-Luenberger (GML) productivity index, and to examine the existence of convergence hypothesis in China's service industry. The core conclusions are as follows: (1) the average annual growth rate of GTFP in China's service industry is 1.00%, and there exists heterogeneity for GTFP in different sub-sectors; (2) there are phenomena of σ-convergence, absolute β-convergence, and conditional β-convergence in GTFP of China's overall service industry, producer service industry, and consumer-oriented service industry. The main policy suggestions include: increasing investment in green technology innovation of the service industry, formulating more effective industrial development planning and energy policies, and optimizing energy structure and industry structure of the service industry.
More Related Videos
06:02A Low-Cost Method of Measuring the In Situ Primary Productivity of Periphyton Communities of Lentic Waters
Published on: December 16, 2022
09:16Author Spotlight: Optimization of Processing Technology for Tiebangchui with Zanba Based on CRITIC Combined with Box-Behnken Response Surface Method
Published on: May 12, 2023
Related Concept Videos
Production Efficiency
Factors Affecting Workability
Power Factor Correction