scholarly journals Industrial Structure Adjustment and Regional Green Development from the Perspective of Mineral Resource Security

2020 ◽  
Vol 17 (19) ◽  
pp. 6978
Author(s):  
You Zheng ◽  
Jianzhong Xiao ◽  
Jinhua Cheng
Keyword(s):  
Mineral Resource ◽  
Industrial Structure ◽  
Negative Impact ◽  
Structural Effect ◽  
Green Economy ◽  
Green Development ◽  
Structure Adjustment ◽  
Industrial Structure Adjustment ◽  
The Impact ◽  
Resource Security

Mineral resource security is the premise and foundation of the regional green rise strategy. And the adjustment of industrial structure is an effective way to relieve the pressure of the current green economy transformation. Based on the Shift-share Method and the Spatial Durbin model, this paper takes 30 regions in China from 2006 to 2017 as examples to study the impact of industrial structure adjustment on China’s green development from the perspective of mineral resource security. The empirical results show that: China is still in the process of industrial transfer. The dynamic effect of industrial structure promotes green development from the perspective of mineral resource security, while its static effect inhibits green development from the perspective of mineral resource security. The spatial spillover effect of the industrial structure affecting green development from the perspective of mineral resource security is significant. The static structural effect of the tertiary industry promotes the green development of the region, and it has a significant negative impact on neighboring areas, while the secondary industry’s static structural effect has the opposite effect.

scholarly journals System-Dynamics Modeling for Exploring the Impact of Industrial-Structure Adjustment on the Water Quality of the River Network in the Yangtze Delta Area

2021 ◽  
Vol 13 (14) ◽  
pp. 7696
Author(s):  
Linlin Wang ◽  
Rongchang Wang ◽  
Haiyan Yan
Keyword(s):  
Water Quality ◽  
System Dynamics ◽  
Industrial Structure ◽  
Collaborative Optimization ◽  
Yangtze Delta ◽  
Delta Area ◽  
Structure Adjustment ◽  
Industrial Structure Adjustment ◽  
Farming Industry ◽  
The Impact

The coordinated development of the environment and economy is the core of sustainable development. This research investigated sustainable water-quality management by exploring the impact of socioeconomic activities on water quality associated with a major global city. To achieve this goal, a system dynamics (SD) model was developed to capture the feedback processes and interactions between the water quality; population; water resource; and the primary, secondary, and tertiary sectors of the Yangtze Delta area, especially Jiaxing City. More importantly, we further subdivided and identified the nine key subindustries within three sectors as high-polluting factors. Using this model, five scenarios based on different industrial restructurings were investigated. The simulation results suggested that Jiaxing City’s water quality would conform to a steadily increasing trend over 2021–2035. Changes in the farming industry have the most significant impact on water quality, followed by those in the paper and paper production (PPP) industry and the livestock and poultry breeding (LPB) industry. In terms of individual pollutant concentrations, the concentrations of COD and TN were most sensitive to changes in the farming industry, while PPP and LPB were identified as having the most influence on the concentrations of NH3-N and TP, respectively. It is feasible for Jiaxing City to improve its water quality through collaborative optimization of three industries. However, the effect of industrial structure adjustment is limited. Strategies comprising cleaner production should be undertaken to reduce pollution generation.

scholarly journals Will Digital Inclusive Finance Make Economic Development Greener? Evidence From China

2021 ◽  
Vol 9 ◽  
Author(s):  
Guangqin Li ◽  
Xubing Fang ◽  
Maotao Liu
Keyword(s):  
Industrial Structure ◽  
Threshold Model ◽  
Generalized Method Of Moments ◽  
Policy Implications ◽  
Green Economy ◽  
Producer Services ◽  
Variable Model ◽  
Green Development ◽  
Internal Mechanism ◽  
The Impact

This paper aimed to accurately assess the driving effect of digital inclusive finance (DIF) on green economic growth, better implement DIF-related policies, and promote the development of green economy. Based on the urban panel data from 2011 to 2018 and the DIF index, this paper investigates the impact of DIF on economic green development and its internal mechanism. The results show that there is a significant positive U-shaped nonlinear relationship between DIF and green development. Through the robustness test of the threshold model, instrumental variable model (IV), and system generalized method of moments (SYS-GMM) model, the results are still valid. The mechanism research shows that the DIF can indirectly promote China’s green development by the coagglomeration degree of producer services and optimize and upgrade industrial structure. This study provides policy implications for developing countries around the world to achieve green development by promoting the DIF level.

scholarly journals Carbon Emission Reduction Performance of Green Biased Technology Progress: From the Perspective of Industrial Structure Adjustment

2021 ◽  
Vol 251 ◽  
pp. 02070
Author(s):  
Yang Li
Keyword(s):  
Emission Intensity ◽  
Carbon Emission ◽  
Industrial Structure ◽  
Low Carbon ◽  
Suppression Effect ◽  
Carbon Emission Intensity ◽  
Structure Adjustment ◽  
Industrial Structure Adjustment ◽  
Productivity Indicators ◽  
The Impact

This paper uses China’s provincial panel data from 1997 to 2015 to construct the Malmquist- Luenberger productivity indicators to measure the level of green biased technology progress, and measures the change in industrial structure based on indicators of low-carbon transformation, optimization and rationalization of industrial structure, and empirically tests the impact of green biased technology progress and industrial structure adjustment on China’s provincial carbon emission intensity. The results show that green biased technology progress can significantly exert the suppression effect of carbon emission intensity through the channel of low-carbon transformation of industrial structure.

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