The Empirical Analysis of the Impact of Industrial Structure on Carbon Emissions

2011 ◽  
pp. 533-540 ◽  
Author(s):  
Mei Liao ◽  
Tianhao Wu
Keyword(s):  
Empirical Analysis ◽  
Carbon Emissions ◽  
Industrial Structure ◽  
The Impact ◽  
The Empirical Analysis

The Impact on Carbon Emissions of Xinjiang's Population Structure

2013 ◽  
Vol 734-737 ◽  
pp. 1956-1959
Author(s):  
Ying Ying Guo ◽  
Xiao Yu Ma ◽  
A Di Li Tu Er Gong
Keyword(s):  
Population Structure ◽  
Energy Saving ◽  
Population Size ◽  
Empirical Analysis ◽  
Carbon Emissions ◽  
Positive Relationship ◽  
Industrial Structure ◽  
Population Urbanization ◽  
The Impact

In this paper, through 1995-2010 data, it studies population size of Xinjiang, population urbanization and population industrial structure, which have some degree impact on carbon emissions. Through empirical analysis suggests that the size of the population curbs carbon emissions, urbanization and industrial structure have a positive relationship with carbon emissions. Finally, the resource-rich Xinjiang, the paper puts forward corresponding energy saving policy.

ICT SMEs, Performance, Absorptive Capacity and Transformative Capacity

2019 ◽  
Vol 118 (3) ◽  
pp. 178-188
Author(s):  
Yeon-Sung Cho ◽  
Kyung-Il Khoe
Keyword(s):  
Firm Performance ◽  
Market Orientation ◽  
Empirical Analysis ◽  
Absorptive Capacity ◽  
Latent Variables ◽  
Equation Modeling ◽  
Transformative Capacity ◽  
The Impact ◽  
The Empirical Analysis ◽  
Innovative Capacity

This study intends to integrate the relationship of market orientation, innovative capacity and firm performance to Information and Communication Technology(ICT) SMEs. The purpose of this study is to identify the role of absorptive capacity and transformative capacity that affect the performance of ICT SMEs. Hypotheses were established between five latent variables. A total of six hypotheses were established including the moderated effects of absorptive capacity and transformative capacity. Of the data collected after the survey, 112 valid surveys were selected as the final sample, except for 17 questionnaires with high non - response and insincere response. The empirical analysis of this study used smartpls3.0, Partial Least Squares (PLS), a variance-based structural equation modeling. The empirical analysis of this study revealed that the impact of market orientation on innovative capacity was significant. Moreover, the innovative capacity had a positive effect on the performance of ICT SMEs. In addition, the absorptive activity had a positive moderated effect between the market orientation and the innovative capacity. On the other hand, the transformative capacity showed a positive moderated effect in relation to innovative capacity and firm performance. Our empirical results have demonstrated the importance of knowledge based capacity in the ICT SMEs.

Capital Structure and Earnings per Share: An Empirical Analysis of Indian Corporate Sector

2015 ◽  
Vol 5 (3) ◽  
Author(s):  
Harvinder Singh Mand ◽  
Manjit Singh
Keyword(s):  
Capital Structure ◽  
Empirical Analysis ◽  
Corporate Sector ◽  
Independent Variables ◽  
Earnings Per Share ◽  
Panel Data Regression ◽  
Data Regression ◽  
The Impact ◽  
The Relationship ◽  
The Empirical Analysis

This paper intends to measure the impact of capital structure on EPS (earnings per share) in Indian corporate sector. Fifteen control variables along with capital structure have been selected to know their impact on EPS. Panel data regression has been applied to establish the relationship among dependent and independent variables. It is found from the empirical analysis that the relation of capital structure with EPS has been statistically insignificant in Indian corporate sector among all specific industries except telecommunication industry. The results are consistent with Modigliani-Miller approach.

scholarly journals The Impact of Top Management’s Support on the Collaboration of Green Supply Chain Participants and Environmental Performance

2020 ◽  
Vol 12 (21) ◽  
pp. 9090
Author(s):  
Jungeun Lee ◽  
Hye-Young Joo
Keyword(s):  
Supply Chain ◽  
Empirical Analysis ◽  
Environmental Performance ◽  
Green Supply Chain ◽  
Top Management ◽  
Direct Impact ◽  
Theoretical Mechanism ◽  
The Impact ◽  
The Empirical Analysis

The purpose of this study is to determine whether the support of top management significantly improves the level of environmental collaboration with participating companies upstream and downstream of the green supply chain and the impact on environmental performance. The results of the empirical analysis of 301 companies that are establishing a green supply chain are as follows. First, top management’s support positively affects the level of collaboration with suppliers and customers in the green supply chain. Secondly, support from top management has a direct impact on the company’s environmental performance. Thirdly, the environmental collaboration of participating companies partially plays a mediation role between the support of top management and the environmental performance. This study has significance in that it analyzes the theoretical mechanism of top management’s support for environmental collaboration with participating companies, leading to environmental performance, and draws implications.

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 FINANCIAL CRISIS AND LOCAL BANKS: A REVIEW OF BANK-FIRM RELATIONSHIPS IN ITALY

2017 ◽  
Vol 14 (3) ◽  
pp. 249-258 ◽  
Author(s):  
Andrea Quintiliani
Keyword(s):  
Financial Crisis ◽  
Empirical Analysis ◽  
Research Question ◽  
Banking System ◽  
Relationship Lending ◽  
Critical Elements ◽  
Risk Return ◽  
The Impact ◽  
The Relationship ◽  
The Empirical Analysis

This paper focuses on bank-firm relationship in an economic deeply changing environment. The objectives of the paper are two-fold: to understand, compared to the overall banking system, if the lending activities and economic-financial performances of Italian local banks have changed after the outbreak of the financial crisis; and to understand what are the conditions that allow to develop a model of a local bank capable of supporting the development routes of SMEs, by an appropriate risk/return profile. In order to answer the first research question, the paper presented an empirical analysis, covering the period 2007-2011, of Italian Cooperative Credit Banks (a particular category of local banks) compared with the system of bank groups with operability spread over much of the Italian territory and not. The empirical comparative analysis has the aim to see the effects of the crisis on the relationship bank-firm through the reading of the impact on the dynamics of lending and on the profiles of structure, riskiness, profitability and efficiency of the banks under examination. In order to provide an answer to the second research question, the paper provides some insight of evolutionary nature reflection in the bank-firm relationship. In accordance with the doctrinal postulates of the relationship lending the empirical analysis shows how the financial then real crisis has not induced Cooperative Credit Banks to restrict credit to local firms. The survey evidences have however highlighted some critical elements that are reflected inevitably on the local bank’s risk-return profile. Based only on quantitative data of statement, the empirical analysis represents a limit in this kind of research. This paper is useful to stimulate the debate of experts as well as to focus on the studies of local banks in particular in the light of their anti-cyclic role. Even if abounding in subjects about local banks and relationship lending literature faces only marginally the effects of global crisis on business profiles of local banks.

scholarly journals Factors Affecting Energy-Related Carbon Emissions in Beijing-Tianjin-Hebei Region

2017 ◽  
Vol 2017 ◽  
pp. 1-17 ◽  
Author(s):  
Jing-min Wang ◽  
Yu-fang Shi ◽  
Xue Zhao ◽  
Xue-ting Zhang
Keyword(s):  
Carbon Emissions ◽  
Carbon Emission ◽  
Energy Intensity ◽  
Industrial Structure ◽  
Energy Structure ◽  
Factors Affecting ◽  
Economic Output ◽  
Level Model ◽  
The Impact ◽  
The Relationship

Beijing-Tianjin-Hebei is a typical developed region in China. The development of economy has brought lots of carbon emissions. To explore an effective way to reduce carbon emissions, we applied the Logarithmic Mean Divisia Index (LMDI) model to find drivers behind carbon emission from 2003 to 2013. Results showed that, in Beijing, Tianjin, and Hebei, economic output was main contributor to carbon emissions. Then we utilized the decoupling model to comprehensively analyze the relationship between economic output and carbon emission. Based on the two-level model, results indicated the following: (1) Industry sector accounted for almost 80% of energy consumption in whole region. The reduced proportion of industrial GDP will directly reduce the carbon emissions. (2) The carbon factor for CO2/energy in whole region was higher than that of Beijing and Tianjin but lower than that of Hebei. The impact of energy structure on carbon emission depends largely on the proportion of coal in industry. (3) The energy intensity in whole region decreased from 0.79 in 2003 to 0.40 in 2013 (unit: tons of standard coal/ten thousand yuan), which was lower than national average. (4) The cumulative effects of industrial structure, energy structure, and energy intensity were negative, positive, and negative, respectively.

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