scholarly journals The mechanisms of the impact of high-tech product export trade on regional carbon performance

2021 ◽  
Author(s):  
Miao Han ◽  
Yan Zhou
Keyword(s):  
Carbon Dioxide Emissions ◽  
Capital Accumulation ◽  
Industrial Structure ◽  
High Tech ◽  
Export Trade ◽  
Low Carbon ◽  
Mediating Effects ◽  
High Tech Product ◽  
Carbon Performance ◽  
The Impact

Abstract Export trade is a driving force of economic development, but it is also an important source of increasing carbon dioxide emissions. Against the background of suggestions of conflicts between economic development and environmental health, the proportion of high-tech products in the export trade of various countries has been rising, leading governments and scholars to focus on identifying the appropriate export structure for countries. While there is some knowledge on how high-tech product exports affect carbon dioxide emissions, the mechanisms involved in that link have not been adequately addressed in previous studies. This study is based on China’s inter-provincial panel data from 2006 to 2017, and uses the fixed effects model stepwise regression method and the bootstrap method to systematically investigate the mediating effects of industrial structure supererogation, low-carbon technological innovation and human capital accumulation, operating in the impact of high-tech product export trade on regional carbon performance. The research results show that high-tech product exports can help improve regional carbon performance. The mediating variables, industrial structure supererogation, low-carbon technological innovation and human capital accumulation, separately have positive and partially mediating effects on the link between high-tech products export trade and regional carbon performance. After considering the alternative indicator of regional carbon performance and the replacement of test method, the results of this study are still robust. The research results are instructive for an understanding of the relationship between high-tech product export trade and regional carbon performance. They highlight the important role of high-tech product exports in improving regional carbon performance, and have significance in promoting China’s green and low-carbon transition.

scholarly journals The Impact of Industrial Transfer on Industrial Structure Upgrading in Central China Take Hubei Province as an example

2020 ◽  
Vol 214 ◽  
pp. 02053
Author(s):  
Chun Chen ◽  
Hong Yuan ◽  
Weiyan Lin ◽  
Qing Xia
Keyword(s):  
Free Trade ◽  
Capital Accumulation ◽  
Industrial Structure ◽  
Hubei Province ◽  
Free Trade Zone ◽  
Central China ◽  
High Tech ◽  
Industrial Transfer ◽  
The Impact ◽  
Industrial Structure Upgrading

In the construction plan of China (Hubei) pilot free trade zone issued by China (Hubei) pilot free trade zone in 2018, it is pointed out that industrial transfer should be orderly undertaken, which undoubtedly provides a strong institutional guarantee for Hubei to undertake industrial transfer. This paper analyzes the mechanism of industrial transfer on industrial structure upgrading: capital accumulation mechanism, technology progress mechanism, industry aggregation mechanism. At the same time through empirical analysis it is concluded that: build the double logarithm model of Hubei province to undertake industry shift after the provincial labor resources, science and technology innovation ability, industrial concentration degree of ascension for the upgrading of industrial structure in Hubei province has a certain role in promoting, especially the size of the capital and the increase of the number of high-tech talent to upgrade the industrial structure to promote the most significant effect. Therefore, the government should intensify efforts to introduce domestic and foreign capital, cultivate and attract more high-tech talents, focus on improving the quality of workers, expand the scale of industrial agglomeration within the province, and enhance the ability of scientific and technological innovation.

The Scenario Analysis of Carbon Emissions Based on Improved IPAT Model in China

2012 ◽  
Vol 616-618 ◽  
pp. 1484-1489 ◽  
Author(s):  
Xu Shan ◽  
Hua Wang Shao
Keyword(s):  
Carbon Dioxide ◽  
Economic Development ◽  
Carbon Dioxide Emissions ◽  
Industrial Structure ◽  
Energy Structure ◽  
Low Carbon ◽  
Policy Scenario ◽  
Social And Economic Development ◽  
Energy Environment ◽  
Development Goals

The coordination development of economy-energy-environment was discussed with traditional environmental loads model, combined with "decoupling" theory. Considering the possibilities of social and economic development, this paper set out three scenarios, and analyzed quantitatively the indexes, which affected carbon dioxide emissions, including population, per capita GDP, industrial structure and energy structure. Based on this, it forecasted carbon dioxide emissions in China in future. By comparing the prediction results, it held that policy scenario was the more realistic scenario, what’s more it can achieve emission reduction targets with the premise of meeting the social and economic development goals. At last, it put forward suggestions to implement successfully policy scenario, from energy structure, industrial structure, low-carbon technology and so on.

scholarly journals An Examination of Green Credit Promoting Carbon Dioxide Emissions Reduction: A Provincial Panel Analysis of China

2021 ◽  
Vol 13 (13) ◽  
pp. 7148
Author(s):  
Wenjie Zhang ◽  
Mingyong Hong ◽  
Juan Li ◽  
Fuhong Li
Keyword(s):  
Carbon Dioxide ◽  
Carbon Emissions ◽  
Carbon Dioxide Emissions ◽  
Industrial Structure ◽  
Emissions Reduction ◽  
Green Finance ◽  
Carbon Emissions Reduction ◽  
Negative Effect ◽  
Emissions Intensity ◽  
The Impact

The implementation of green finance is a powerful measure to promote global carbon emissions reduction that has been highly valued by academic circles in recent years. However, the role of green credit in carbon emissions reduction in China is still lacking testing. Using a set of panel data including 30 provinces and cities, this study focused on the impact of green credit on carbon dioxide emissions in China from 2006 to 2016. The empirical results indicated that green credit has a significantly negative effect on carbon dioxide emissions intensity. Furthermore, after the mechanism examination, we found that the promotion impacts of green credit on industrial structure upgrading and technological innovation are two effective channels to help reduce carbon dioxide emissions. Heterogeneity analysis found that there are regional differences in the effect of green credit. In the western and northeastern regions, the effect of green credit is invalid. Quantile regression results implied that the greater the carbon emissions intensity, the better the effect of green credit. Finally, a further discussion revealed there exists a nonlinear correlation between green credit and carbon dioxide emissions intensity. These findings suggest that the core measures to promote carbon emission reduction in China are to continue to expand the scale of green credit, increase the technology R&D investment of enterprises, and to vigorously develop the tertiary industry.

scholarly journals Analysis of financial development and industrial structure transformation

2021 ◽  
Vol 235 ◽  
pp. 02080
Author(s):  
Shuwei Harold Sun ◽  
Allen Wang ◽  
Huan Yu
Keyword(s):  
Financial Development ◽  
Industrial Structure ◽  
High Tech ◽  
Financial Industry ◽  
Estimation Model ◽  
Moment Estimation ◽  
Investment Structure ◽  
The Government ◽  
Role Of The Government ◽  
The Impact

This paper uses the relevant data from 2008 to 2017 to construct a multiple linear regression equation, and uses the generalized moment estimation model to explore the impact of financial development on industrial structure adjustment from the perspective of financial scale and efficiency. The results show that financial efficiency can promote the rationalization and upgrading of industrial structure, but the impact of financial scale on industrial structure is two-sided. Increasing financial scale can increase the amount of industrial financing and accelerate the process of industrial structure upgrading. However, blindly increasing the supply of loans will lead to the birth of bad investment, thus failing to promote the rationalization of industrial structure. Based on this, this paper puts forward some policy suggestions, such as promoting the diversified development of the financial industry, improving the imbalance of financial development in various provinces, promoting the reasonable investment structure and the development of high-tech industry, and giving full play to the role of the government.

scholarly journals A Factor Decomposition on China’s Carbon Emission from 1997 to 2012 Based on IPAT-LMDI Model

2015 ◽  
Vol 2015 ◽  
pp. 1-14 ◽  
Author(s):  
Wei Li ◽  
Ya-Bo Shen ◽  
Hui-Xia Zhang
Keyword(s):  
Development Strategy ◽  
Carbon Dioxide Emissions ◽  
Energy Intensity ◽  
Industrial Structure ◽  
Scale Effects ◽  
Assessment System ◽  
Energy Structure ◽  
Low Carbon ◽  
Economic Output ◽  
Population Scale

We probe into the key factors that possess significant effects on China’s CO2emissions during 1997–2012 on the basis of IPAT-LMDI model. Carbon dioxide emissions are specifically decomposed into CO2emission intensity, energy structure, energy intensity, industrial structure, economic output, and population scale effects. Results indicate that the paramount driving factors that resulted in the growth of CO2emissions are economic output, population scale, and energy structure. In contrast, energy intensity and industrial structure generally play an outstanding role in reducing emissions. This paper constructs a new weight assessment system by introducing “contribution value-significant factor-effect coefficient” to replace “contribution value-contribution rate” in the previous literature. According to the most significant positive effect and the most negative effect from the conclusion, we point out the effective policies that can not only accelerate the target of “China’s carbon emissions per unit of GDP could be cut down by 40–45% by 2020, from 2005 levels,” but also have crucial significance on the low-carbon economic development strategy of China.

Analysis of Impact Factors of China's Carbon Dioxide Emissions

2012 ◽  
Vol 616-618 ◽  
pp. 1111-1114
Author(s):  
Xiao Yu Ma ◽  
Qiang Yi Li ◽  
Adili Tuergong
Keyword(s):  
Carbon Dioxide Emissions ◽  
Industrial Structure ◽  
Positive Impact ◽  
Dynamic Panel Data ◽  
Impact Factors ◽  
Dynamic Panel ◽  
Consumption Structure ◽  
Current Period ◽  
Per Capita ◽  
The Impact

This paper estimates the quantity of CO2 emissions in 30 provinces of China covering the year from 1999 to 2010, combining static and dynamic panel data model.Meanwhile, we use instruments to control the endogeny of the two models, analyzing the impact factors of China's CO2 emissions comprehensively and objectively. The result shows that a inverted U-shaped relationship is found between per capita GDP and CO2 emissions per capita .And it means that the Environmental Kuznets Hypothesis is verified in China.And energy consumption structure, industrial structure and urbanization have a positive impact on China's CO2 emissions. The CO2 emissions of last period have a crucial impact on the emissions of current period.

scholarly journals Environmental Governance Effect of the Transformation of Export Trade Mode: Empirical Evidence from 194 Cities in China

2021 ◽  
Author(s):  
guangqin Li ◽  
Xubing Fang ◽  
Maotao Liu
Keyword(s):  
Developing Countries ◽  
Environmental Pollution ◽  
Empirical Evidence ◽  
Environmental Governance ◽  
Industrial Structure ◽  
Pollution Level ◽  
Energy Structure ◽  
Export Trade ◽  
Processing Trade ◽  
The Impact

Abstract As one of the developing countries, China's export trade mode (ETM) has gradually shifted from processing trade to general trade. Is the deterioration of China's environmental pollution caused by the transformation of ETM? Based on the panel data from 194 cities in China from 2000 to 2016, this paper investigates the impact of ETM transformation on the environmental pollution and its internal mechanism. The results show that: the ETM is gradually shifting from processing trade to general trade, environmental pollution will deteriorate first and then improve, that is, showing a significant “inverted U-shaped” relationship between the transformation of ETM and environmental pollution. Through the robustness test of the threshold, and SYS-GMM model, the results are still valid. The mechanism research shows that the upgrading of industrial structure, energy structure, industrial agglomeration, environmental protection investment and resource allocation are the main mechanism that the transformation of ETM affect environmental pollution. The conclusions of this study can provide empirical evidence for the process that the environmental pollution level of developing countries deteriorated and then improved during the process of transforming from processing export trade to general export trade.

Integrating building modelling with future energy systems

2018 ◽  
Vol 39 (2) ◽  
pp. 135-146 ◽  
Author(s):  
David Jenkins
Keyword(s):  
Energy Demand ◽  
Energy Systems ◽  
Building Design ◽  
Building Envelope ◽  
Low Carbon ◽  
Industry Practice ◽  
Carbon Performance ◽  
Tools And Techniques ◽  
Integration Project ◽  
The Impact

The low-carbon building design process for a building engineer is often confined to construction, building services and occupancy. However, as we see coincident changes in climate, technologies, fuels and operation, it becomes important to extend this understanding to include wider energy systems, while clarifying the importance of the built environment within that system. With energy systems, such as the National Grid, involving multiple actors from different disciplines, a key challenge is to provide guidance and future projections that are translated into different discipline-specific vernaculars, but with a genesis of common assumptions. More generally, integration across the disciplines must be reflected by modelling approaches, policy-making frameworks and outputs. This article will demonstrate the initial stages of the energy demand research of the Centre of Energy Systems Integration project, where novel modelling techniques are being used to explore the effect of future buildings on national energy systems. Practical application: The tools and techniques described within this article are designed with future industry practice in mind. The driver is the increased importance of external factors outside the traditional building envelope in determining the energy and carbon performance of a building (or buildings). Building engineers, and others within building design teams, require a new portfolio of tools and resources to better account for the impact of buildings on wider energy systems and vice versa. The role of such practitioners is therefore likely to evolve.

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