scholarly journals Influence of Urbanization and Foreign Direct Investment on Carbon Emission Efficiency: Evidence from Urban Clusters in the Yangtze River Economic Belt

2021 ◽  
Vol 13 (5) ◽  
pp. 2722
Author(s):  
Shijian Wu ◽  
Kaili Zhang
Keyword(s):  
Economic Development ◽  
Foreign Direct Investment ◽  
Carbon Emissions ◽  
Direct Investment ◽  
Yangtze River ◽  
Carbon Emission ◽  
The Yangtze River ◽  
Urban Agglomerations ◽  
Emission Efficiency ◽  
The Impact

Reducing carbon emissions and realizing green, circular, and low-carbon development is essential for high-quality economic development. Following the construction of a superefficiency SBM model and combining the panel data of three major urban agglomerations in the Yangtze River Economic Belt from 2003 to 2017, carbon emission efficiency was measured and analyzed. A spatial Durbin model (SDM) was incorporated to analyze the urban agglomerations in the Yangtze River Economic Belt and the impact of urbanization quality and foreign direct investment (FDI) on carbon emission efficiency. Finally, the SDM model was used to decompose the spillover effect. Generally, carbon emission efficiency in the three major urban agglomerations in the Yangtze River Economic Belt is low, with regional differences. FDI only has a positive impact on the carbon emissions of the Yangtze River Delta and the middle reaches of the Yangtze River. Furthermore, urbanization and population density have led to high levels of carbon emission in the region; however, the industrial structure and energy intensity factors have inhibited the improvement of regional carbon emission efficiency. Improving the quality of urbanization and trade structure is important to achieve energy conservation and emission reductions, which are pillars of sustainable economic development.

scholarly journals Threshold Effect of Foreign Direct Investment and Carbon Emissions Performance From the Perspective of Marketization Level: Implications for the Green Economy

2021 ◽  
Vol 12 ◽  
Author(s):  
Hao Hu ◽  
Haiyan Wang ◽  
Shuang Zhao ◽  
Xun Xi ◽  
Lan Li ◽  
...  
Keyword(s):  
Foreign Direct Investment ◽  
Foreign Investment ◽  
Carbon Emissions ◽  
Direct Investment ◽  
Yangtze River ◽  
Carbon Emission ◽  
Threshold Effect ◽  
Carbon Intensity ◽  
The Yangtze River ◽  
Low Carbon

Exploring the path and mechanism of marketization level in the effect of foreign direct investment (FDI) on carbon emission performance will help to maximize the stimulation effect of foreign investment on green and low-carbon development. This study used the panel data of 11 provinces and cities in the Yangtze River Economic Belt from 2008 to 2016. A panel threshold model is constructed to explore the non-linear relationship between FDI and carbon emissions performance from the perspective of marketization level. The main conclusions are as follows: First, from the perspective of marketization level, a significant double threshold effect exists between foreign participation and carbon emission intensity, with threshold values of 4.4701 and 9.2516 respectively. Second, as the marketization level increases, the technology spillover effect of FDI increases, and the stimulation effect of foreign participation on carbon intensity decreases significantly, but it does not inhibit carbon intensity, indicating that the overall benefits brought by FDI technology spillovers are still insufficient to offset pollution caused by foreign investment. Third, the eastern region of the Yangtze River Economic Belt has crossed the second threshold. In the central and western regions, the marketization process is relatively slow except for Chongqing, and the regions are still firmly stuck between the first and second thresholds. In response to the conclusions of the empirical research, relevant policy suggestions are put forward from three dimensions, namely, the strategy of introducing foreign investment, construction of the marketization system, and environmental regulation, to achieve low-carbon and green development in the Yangtze River Economic Belt.

The Effect of Economic Growth, Foreign Direct Investment, and Energy Use on Environment Degradation: Evidenced from ASEAN Nations

2021 ◽  
Vol 9 (2) ◽  
pp. 114-124
Author(s):  
Baserat Sultana ◽  
Syeda Nida Raza ◽  
Kinza Rana ◽  
Aaqib Qayyum
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Foreign Direct Investment ◽  
Direct Investment ◽  
Carbon Emission ◽  
Energy Use ◽  
Chi Square ◽  
Positive Effects ◽  
The Impact ◽  
Environment Degradation

Literature evidenced that environmental degradation creates hurdles in economic development. So, this study highlights the leading macroeconomic indicators which affect the environment and investigates the nexus among FDI, energy utilization, economic development, and environmental pollution for ASEAN nations from 1990 to 2018. Panel Autor Regressive Distributive lag (ARDL) methodology is used to examine the impact of economic growth, foreign direct investment and energy use on environment degradation. Different panel unit roots (Im, Pesaran and Shin W-stat, Levin, Lin & Chu, ADF - Fisher Chi-square, PP - Fisher Chi-square) tests are applied to confirm the intergradation order, and results confirm that there exits I (0) and I(1) order of intergradation. There exists a unidirectional relationship between energy consumption and carbon emission of CO2 and CO2 to foreign direct investment in the long run. While in the short run, there does not exist any relationship. The results confirm the existence EKC hypothesis, which confirms there exits negative and positive effects of GDP and square of GDP on carbon emission. Hence this study concludes that its essential to develop some strategies and policies to guarantee economic stability. Additionally, reliable and sustainable power resources should be used for positive environmental changes. The carbon dioxide emission should be reduced for the GDP growth by utilizing different eco-technologies and renewable energy resources, which can nullify the effect of emission of CO2 to maintain the greenhouse environment.

scholarly journals Does the Carbon Emission Trading Policy Promote Foreign Direct Investment?: A Quasi-Experiment From China

2022 ◽  
Vol 9 ◽  
Author(s):  
Wei Shao ◽  
Xiaobo Yu ◽  
Ziqi Chen
Keyword(s):  
Economic Development ◽  
Foreign Direct Investment ◽  
Environmental Regulation ◽  
Direct Investment ◽  
Carbon Emission ◽  
Emission Trading ◽  
Depth Analysis ◽  
Carbon Emission Trading ◽  
The Impact ◽  
Trading Policy

As an important policy to promote global energy transition and carbon emission reduction, does the carbon emission trading policy help promote foreign direct investment inflows, thus alleviating the contradiction between environment and economic development? Based on the “OLI paradigm,” by using the data of China’s 30 provinces from 2007 to 2016 and taking China’s pilot implementation carbon emission transaction policy in 2013 as the natural experiment, so as to construct a differences-in-differences model, this study empirically analyzed the impact of carbon emission transaction policies on foreign direct investment and conducted an in-depth analysis and discussion on related heterogeneity. The empirical results show that 1) there is a positive correlation between the carbon emission trading policy and foreign direct investment; 2) the results of heterogeneity analysis show that the effect of carbon emission trading policy on the increase in FDI is more significant in the areas with a stronger environmental regulation, a higher degree of marketization, and low energy consumption. The conclusions of this study enrich the analysis of the effectiveness of government environmental policies from the perspective of both environment and economic development and provide relevant policy enlightenment for developing countries in environmental regulation and attracting foreign direct investment.Systematic Review Registration: [website], identifier [registration number].

scholarly journals Spatio-Temporal Coupling Characteristics and the Driving Mechanism of Population-Land-Industry Urbanization in the Yangtze River Economic Belt

Land ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 400
Author(s):  
Liejia Huang ◽  
Peng Yang ◽  
Boqing Zhang ◽  
Weiyan Hu
Keyword(s):  
Economic Development ◽  
Spatial Correlation ◽  
Yangtze River ◽  
Three Dimensional ◽  
Driving Mechanism ◽  
The Yangtze River ◽  
Central Cities ◽  
Urban Agglomerations ◽  
Development Level ◽  
Coordination Degree

The purpose of this paper is to probe into the coupled coordination of urbanization in population, land, and industry to improve urbanization quality. A coupled coordination degree model, spatial analysis method and spatial metering model are employed. The study area is 110 prefecture-level cities in the Yangtze River Economic Belt. The study shows that: (1) the coupling degree of the population-land-industry urbanization grew very slowly between 2006 and 2016. On the whole, the three-dimensional urbanization is in a running-in period, and land-based urbanization dominates, while population-based urbanization and industry-based urbanization are relatively lagging behind. (2) The three major urban agglomerations, the Chengdu-Chongqing, the middle reaches of the Yangtze River and the Yangtze River Delta, are parallel to the whole area in terms of the coupling degree of the three dimensional urbanization with a well-ordered structure, especially in the central cities of the three major urban agglomerations. (3) There is significant spatial correlation in the coupling degree and coordination degree of the three-dimensional urbanization. The high value of coupling degree and coordination degree are clustered continuously in developed cities, provincial capitals, and central cities of the downstream reaches of the Yangtze River. (4) The coordinated degree has significant positive spatial autocorrelation, showing obvious spatial agglomeration characteristics: H-H agglomeration areas are concentrated in the downstream developed areas such as Jiangsu, Zhejiang, and Shanghai. L-L agglomeration areas are mainly concentrated in upstream undeveloped areas, but the number of their cities shows a decreasing trend. (5) The coordination degree of the three-dimensional urbanization is the result of the comprehensive effect of economic development level, the government’s decision-making behavior, and urban location. Among them, the economic development level, urbanization investment, traffic condition, and urban geographical location play a decisive role. This paper contributes to the existing literatures by exploring urbanization quality, spatial correlation and influencing factors from the perspectives of the three-dimensional urbanization in the Yangtze River Economic Belt. The conclusion might be helpful to promote the coupling and coordinated development of urbanization in population-land-industry, and ultimately to improve urbanization quality in the Yangtze River Economic Belt.

scholarly journals Innovative Approach to Measuring the Impact of FDI on Some Macroeconomic Indicators in B&H

ECONOMICS ◽  
2018 ◽  
Vol 6 (1) ◽  
pp. 7-15
Author(s):  
Slobodan Subotić ◽  
Živko Erceg ◽  
Vladimir Marković ◽  
Goran Mitrović
Keyword(s):  
Economic Development ◽  
Foreign Direct Investment ◽  
National Economy ◽  
Direct Investment ◽  
Economic Life ◽  
Capital Export ◽  
Economic Surplus ◽  
Macroeconomic Indicators ◽  
Relationship Of ◽  
The Impact

SUMMARY The necessity of economic life and economic development of every economy is the free movement of capital. The international movement of capital has its balance of payment when capital export represents economic surplus in relation to consumption of the national economy and the import of capital represents an increase of consumption in regard to the output of a national economy. Analysis of the influence of foreign direct investment (FDI) on economic growth of the host country, among other things, is emphasized in the function of the achieved phase of its economic development. Taking all this into consideration, the aim of this paper refers to an attempt to indicate the significance and the role of FDI as well as the importance of attracting foreign direct investment in B&H and the determination of the effects of FDI on the economy of B&H. In this regard, we will try to determine the level of FDI’s impact on some macroeconomic indicators in B&H (GDP, import, export, unemployment) by using contemporary SPSS statistical analysis program (model) and applying the methods (calculating coefficients) of correlation and regression analysis. In other words, we will determine the analytical expression used to describe a statistical relationship of these macroeconomic categories.

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