Are Industrial Structure Adjustment and Technical Progress Conducive to Environmental Improvement?

2022 ◽  
Vol 30 (6) ◽  
pp. 0-0
Keyword(s):  
Environmental Pollution ◽  
Technical Progress ◽  
Industrial Structure ◽  
Spillover Effects ◽  
Pollutant Emissions ◽  
Temporal Dependence ◽  
Environmental Improvement ◽  
Structure Adjustment ◽  
Industrial Structure Adjustment ◽  
Spatio Temporal

China actively broadens its channels for environmental protection and limits pollutant emissions through industrial structure adjustment and technical progress. Based on panel data of 30 provinces in China from 2003 to 2017, this study investigated the effects of industrial structure adjustment and technical progress on environmental pollution using spatial Dubin models. The findings show the following. (1) As the economy develops, the situation of environmental pollution in various regions deteriorates; moreover, spatio-temporal dependence is an aspect of environmental pollution. (2) Industrial structure adjustment and technical progress are beneficial to environmental improvement. Furthermore, there are spillover effects in factors such as industrial structure and technical progress to varying degrees. Thus, this study suggests that the path of coupling between industrial structure and technical progress should be explored to establish a pollution filtering mechanism, thereby improving environmental quality.

Industrial Structure Adjustment of Liuzhou Based on Circular Economy

2010 ◽  
Vol 171-172 ◽  
pp. 27-31
Author(s):  
Guo Dan Lu ◽  
Guan Wen Cheng ◽  
Hong Yuan Fu ◽  
Wen Yuan Wei
Keyword(s):  
Internal Structure ◽  
Circular Economy ◽  
High Efficiency ◽  
Industrial Structure ◽  
Pollutant Emissions ◽  
Tertiary Industry ◽  
High Resource ◽  
Structure Adjustment ◽  
Industrial Structure Adjustment ◽  
Secondary Industry

Circular economy with low consumption, low emission, high efficiency rate of basic features, development of circular economy required to optimize industrial structure adjustment. By analyzing tertiary industries and internal structure of tertiary industries in Liuzhou, preliminary view is large proportion of secondary industry, proportion of tertiary industry is small, development of three industries is uneven; internal structure of primary industry is not quite reasonable, main reason is large intermediate consumption of various industries, agricultural products of unit area yield is low, and development of modern agriculture lags behind, a large proportion of heavy industry in secondary industry, development of light industry lags behind, high resource consumption and pollutant emissions, tertiary industry traditional services industries has some basis, but it grows slowly, and its structure is not quite reasonable, need to be adjusted.

The Analysis of the Influence of Highway Construction and Operation on Industrial Structure Adjustment in Heilongjiang Province - Co-Integration Test and Causality Test Based on Data from 1995 to 2009

2012 ◽  
Vol 424-425 ◽  
pp. 205-209
Author(s):  
Ying Jin
Keyword(s):  
Industrial Structure ◽  
Highway Construction ◽  
Test Method ◽  
Policy Recommendations ◽  
Heilongjiang Province ◽  
Causality Test ◽  
Integration Test ◽  
Structure Adjustment ◽  
Industrial Structure Adjustment ◽  
Expressway Construction

Based on data for the year in Heilongjiang Province, 1995-2009，Using co-integration and Granger causality test method to test causality between Heilongjiang Provincial Expressway Construction and industrial structure ,found that there exists co-integration relationship between the Heilongjiang Provincial Expressway Construction and operation and three industries. Finally, highway construction, relevant policy recommendations are given to adjust the industrial structure of Heilongjiang Province

Marine economic industrial structure based on fuzzy entropy and least square regression model

2021 ◽  
pp. 1-6
Author(s):  
Xiaoqing Zhao
Keyword(s):  
Regression Model ◽  
Industrial Structure ◽  
Fuzzy Entropy ◽  
Least Square ◽  
Least Square Regression ◽  
Marine Industry ◽  
Structure Adjustment ◽  
Marine Economy ◽  
Industrial Structure Adjustment ◽  
China’S Economy

China’s economy is in the critical period of transformation from a traditional land economy to a marine economy. China is rich in marine resources, facing important development opportunities and challenges. The adjustment of marine economic industrial structure is of great significance to promote the development of China’s marine economy. To intuitively analyze and clearly understand the effect of industrial structure adjustment of marine economy in recent years in China, using the data of China’s marine industry from 2008 to 2018, fuzzy entropy theory, and least square regression model, the influence of the scientificity and advancement of marine economic industrial structure adjustment on marine economic was analyzed. Results show that the fitting degree of the model is good and significant, with every 1% increase in the scientificity and height of marine economic industrial structure adjustment, the marine economy increases by 1.88% and 2.80%, respectively. The development of marine science and technology can promote the rise of the marine economy.

scholarly journals Spatio-Temporal Distribution, Spillover Effects and Influences of China’s Two Levels of Public Healthcare Resources

2019 ◽  
Vol 16 (4) ◽  
pp. 582 ◽  
Author(s):  
Xueqian Song ◽  
Yongping Wei ◽  
Wei Deng ◽  
Shaoyao Zhang ◽  
Peng Zhou ◽  
...  
Keyword(s):  
Industrial Structure ◽  
Healthcare Expenditure ◽  
Government Expenditure ◽  
Spillover Effects ◽  
Public Healthcare ◽  
Long Term Effects ◽  
Healthcare Resources ◽  
Spatio Temporal ◽  
Main Determinants

In China, upper-level healthcare (ULHC) and lower-level healthcare (LLHC) provide different public medical and health services. Only when these two levels of healthcare resources are distributed equally and synergistically can the public’s demands for healthcare be met fairly. Despite a number of previous studies having analysed the spatial distribution of healthcare and its determinants, few have evaluated the differences in spatial equity between ULHC and LLHC and investigated their institutional, geographical and socioeconomic influences and spillover effects. This study aims to bridge this gap by analysing panel data on the two levels of healthcare resources in 31 Chinese provinces covering the period 2003–2015 using Moran’s I models and dynamic spatial Durbin panel models (DSDMs). The results indicate that, over the study period, although both levels of healthcare resources improved considerably in all regions, spatial disparities were large. The spatio-temporal characteristics of ULHC and LLHC differed, although both levels were relatively low to the north-west of the Hu Huanyong Line. DSDM analysis revealed direct and indirect effects at both short-and long-term scales for both levels of healthcare resources. Meanwhile, the influencing factors had different impacts on the different levels of healthcare resources. In general, long-term effects were greater for ULHC and short-term effects were greater for LLHC. The spillover effects of ULHC were more significant than those of LLHC. More specifically, industrial structure, traffic accessibility, government expenditure and family healthcare expenditure were the main determinants of ULHC, while industrial structure, urbanisation, topography, traffic accessibility, government expenditure and family healthcare expenditure were the main determinants of LLHC. These findings have important implications for policymakers seeking to optimize the availability of the two levels of healthcare resources.

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