Influence of the Evolution of Marine Industry Structure on the Green Total Factor Productivity of Marine Economy

Abstract

The 14th five-year plan emphasizes the importance of marine ecology and environmental protection, and the green concept is incorporated into the high-quality development system of the marine economy. This research used the data of 11 coastal provinces and cities in China from 2006 to 2016, based on the super-efficiency slack-based measure model and global Malmquist index model. The objective was to calculate the green total factor productivity (GTFP) of the marine economy, to study the impact of the evolution of the marine industrial structure on marine economic GTFP. The study found the following: (1) in general, the upgrade of marine industrial structure promoted the growth of marine economic GTFP and presented an inverted “U” trend of initially promoting and then suppressing. Spatially, only the advancement and rationalization of industrial structure in the Yellow and Bohai Sea regions inhibited the growth of marine economic GTFP. In terms of time, the advanced marine industrial structure promoted the growth of GTFP from 2006 to 2010, whereas that of industrial structure inhibited the growth of GTFP from 2011 to 2016. (2) The GTFP of the marine economy showed an increasing trend, but the conversion rate of production technology is low. Falling into the “efficiency trap” of highly advanced technology input and low-efficiency technology output should be avoided. (3) Affected by the mismatch of regional resources or industrial structure, government intervention showed an “opposite” mechanism in areas with different marine economic strengths. Government intervention in areas with higher marine economic strength was conducive to GTFP growth, whereas government intervention in areas with weaker marine economic strength would hinder GTFP growth.

Forecasting Guangdong’s Marine Science and Technology, Marine Economy, and Employed Persons by Coastal Regions—Based on Rolling Grey MGM(1,m) Model

“…As China attaches great importance to marine development, many scholars undertook a quantitative analysis of marine economy in China. Wei et al (2021) used the superefficiency slack-based measure model and global Malmquist index model to research the impact of the evolution of the marine industrial structure on marine economic [10]. Wu and Li (2022) completed a detailed analysis of the spatiotemporal evolution and types of marine economy and provided a new strategy for measuring many aspects of marine economic resilience [11].…”

Total factor productivity of China’s marine economy: A meta-analysis

“…It has been demonstrated that indicators like GDP and FDI in national economic development, as well as factors such as the level of land-based economic development and marine industry structure, can all have a significant impact on the marine economic TFP growth (Wang et al, 2021;Wei et al, 2021). As a result, variables like the gross ocean product, total imports and exports as a percentage of GDP, the number of marine research topics, and the share of marine tertiary industry in the gross ocean product are included in the meta-regression model in this paper to examine their effects on TFP growth in the marine economy.…”

Analyzing efficiency measurement and influencing factors of China’s marine green economy: Based on a two-stage network DEA model

“…The efficiency of the marine green economy is an important indicator to measure its sustainable development (Wei et al, 2021;Ye et al, 2021). At present, scholars mainly have used stochastic frontier method (SFA) and data envelopment analysis (DEA) to evaluate marine green economy efficiency and technical efficiency (Wu, 2018;Zheng et al, 2019;Wang et al, 2021a;Chen et al, 2020b;Chi et al, 2022).…”