Carbon Dioxide Emissions, Urbanization Level and Industrial Structure: Empirical Evidence from North China

2021 ◽  
Author(s):  
Zhuoya Siqin ◽  
Dongxiao Niu ◽  
Mingyu Li ◽  
Hao Zhen ◽  
Xiaolong Yang
Keyword(s):  
Carbon Dioxide ◽  
Carbon Dioxide Emissions ◽  
North China ◽  
Industrial Structure ◽  
Unit Root Test ◽  
Panel Cointegration ◽  
Test Panel ◽  
Causality Test ◽  
Cross Sectional ◽  
Urbanization Level

Abstract This paper aims to examine the nexus among carbon dioxide (CO2) emissions, urbanization level and industrial structure in North China over the period 2004–2019, according to an expanded Cobb-Douglas production function. The panel econometric techniques are employed to complete the empirical analysis, including cross-sectional correlation test, panel unit root test, panel cointegration test and panel Granger causality test. The empirical results support the long-term equilibrium relationship among CO2 emissions, urbanization level and industrial structure in North China, and the urbanization level contributes most to CO2 emissions, followed by fossil energy consumption. Furthermore, the bidirectional causality between CO2 emissions and urbanization level and unidirectional causality from industrial structure to CO2 emissions are found in North China, indicating that urbanization level and industrial structure have significant impacts on CO2 emissions. Finally, according to the empirical findings, several policy suggestions are proposed for the purpose of reducing CO2 emissions in North China.

scholarly journals Panel Econometric Analysis on Mobile Payment Transactions and Traditional Banks Effort toward Financial Accessibility in Sub-Sahara Africa

2020 ◽  
Vol 12 (3) ◽  
pp. 895 ◽  
Author(s):  
Cephas Paa Kwasi Coffie ◽  
Hongjiang Zhao ◽  
Isaac Adjei Mensah
Keyword(s):  
Time Series Data ◽  
Unit Root Test ◽  
Panel Cointegration ◽  
Ordinary Least Squares ◽  
Sustainable Growth ◽  
Series Data ◽  
Mobile Payment ◽  
Cross Sectional ◽  
Mobile Payments ◽  
Long Run

The financial landscape of sub-Sahara Africa is undergoing major changes due to the advent of FinTech, which has seen mobile payments boom in the region. This paper examines the salient role of mobile payments in traditional banks’ drive toward financial accessibility in sub-Sahara Africa by using panel econometric approaches that consider the issues of independencies among cross-sectional residuals. Using data from the World Development Index (WDI) 2011–2017 on 11 countries in the region, empirical results from cross-sectional dependence (CD) tests, panel unit root test, panel cointegration test, and the fully modified ordinary least squares (FMOLS) approach indicates that (i) the panel time series data are cross-sectionally independent, (ii) the variables have the same order of integration and are cointegrated, and (iii) growth in mobile payment transactions had a significant positive relationship with formal account ownership, the number of ATMs, and number of new bank branches in the long-run. The paper therefore confirms that the institutional structure of traditional banks that makes them competitive, irrespective of emerging disruptive technologies, has stimulated overall financial accessibility in the region leading to overall sustainable growth in the financial sector. We conclude the paper with feasible policy suggestions.

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.

Industrial Structure and Source of Carbon Dioxide Emissions in East Asia: Estimation and Comparison

1998 ◽  
Vol 9 (5) ◽  
pp. 509-533 ◽  
Author(s):  
Hyun-Sik Chung
Keyword(s):  
Carbon Dioxide ◽  
Carbon Dioxide Emissions ◽  
Lower Cost ◽  
Industrial Structure ◽  
Fuel Efficiency ◽  
Industrial Sector ◽  
Asian Countries ◽  
Absolute Term ◽  
Joint Effort ◽  
Production Techniques

This study estimates and compares carbon dioxide (CO2) emissions of three East Asian countries; China, Japan and South Korea by using the well-known input-output model. The differences in CO2 emissions between countries are then analyzed by a decomposition method. The sources of differences in CO2 emissions are attributed to various factors such as different fuel efficiency, production techniques, consumption patterns and the size of the economy. It is argued that an industrial sector with high total emission intensity (TEI) can reduce pollution at lower cost than others with low TEI, assuming that the reduction in emissions entails reduction in output. In this connection, China provides a challenging case for a potential regional joint effort towards the CO2 reduction, because her emissions are shown to be the largest, both in the absolute term and in terms of average TEI.

scholarly journals THE LONG-RUN IMPACT OF ENERGY USE, INCOME AND TRADE ON CARBON DIOXIDE EMISSIONS IN MERCOSUR MEMBER STATES

2019 ◽  
Vol 17 (2) ◽  
pp. 151-170
Author(s):  
Alejandro Dellachiesa ◽  
Tunhsiang Edward Yu
Keyword(s):  
Carbon Dioxide ◽  
Co2 Emissions ◽  
Carbon Dioxide Emissions ◽  
Energy Use ◽  
Panel Cointegration ◽  
Trade Agreement ◽  
Cointegration Analysis ◽  
Positive Effects ◽  
Long Run ◽  
Reduction Of Co2

Using a heterogeneous panel cointegration analysis, this study examines the long-run impacts of income, trade, and energy use on carbon dioxide emissions (CO2), in Argentina, Brazil, Paraguay and Uruguay between 1970 − 2008. Results show that the long-run impact of those factors on CO2 emissions; particularly trade, changed following the establishment of the Mercosur regional free trade agreement in 1991. The results also suggest that increasing the level of openness, after removing barriers to trade and encouraging investments in transportation infrastructure, created positive effects in the reduction of CO2 emissions post-Mercosur. Our findings indicate that the enhancement and increase in utilization of the region’s inland waterway system could shift the Mercosur’s transport matrix towards more economical transportation modes that generates positive effects on the environment.

scholarly journals The Symmetric and Asymmetric impact of FDI Inflows, Economic growth, and Capital Investment on CO2 Emission in Oman-Evidence from ARDL and NARDL Approach

2021 ◽  
Author(s):  
Ishfaq Hamid ◽  
Md Shabbir Alam ◽  
Muntasir Murshed ◽  
Pabitra Kumar Jena ◽  
Nadia Sha ◽  
...  
Keyword(s):  
Economic Growth ◽  
Carbon Dioxide ◽  
Foreign Direct Investment ◽  
Carbon Dioxide Emissions ◽  
Direct Investment ◽  
Capital Investment ◽  
Symmetric Model ◽  
Causality Test ◽  
Long Run ◽  
Bound Test

Abstract This study examines the symmetric and asymmetric nexus between capital investment, economic growth, foreign direct investment, and CO2 emissions in Oman during 1980- 2019. For this purpose, we applied ARDL Model for linear cointegration and NARDL model for nonlinear cointegration between capital investment, economic growth, foreign direct investment, and CO2 emissions. The bound test shows the long-term equilibrium relationship among CO2 emissions, capital investment, economic growth, and FDI in both models. The error correction mechanism demonstrates that CO2 emissions congregate to their long-run equilibrium level at a 50.1 percent annual pace of adjustment by integrating capital investment, economic growth, and FDI under the symmetric model. The causality test results show that carbon emissions and FDI, economic growth, and CO2 emissions exhibit bidirectional causal links. While, on the other hand, unidirectional causal links are running from capital investment to GDP. The asymmetric results show that positive shocks to FDI and economic growth have significant tumbling consequences on Oman's carbon dioxide emissions.In contrast, negative shocks in FDI and economic growth substantially increase carbon dioxide emissions. The research findings also reveal that carbon dioxide emissions are more resilient to negative shocks in FDI and economic growth. Based on these results, this study accomplishes that abatement measures should consist of strategies to enhance the deepness of FDI and economic growth in the Oman economy.JEL Classification: F21, Q56, C22

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