Notice of Retraction: Empirical analysis of the relationship between pollutant emissions and environmental degradation costs in China

2010 ◽  
Author(s):  
Cheng Han ◽  
Hao Jing
Keyword(s):  
Empirical Analysis ◽  
Environmental Degradation ◽  
Pollutant Emissions ◽  
The Relationship

Globalization, Poverty, Environmental Degradation and Economic Growth Nexus: Empirical Analysis of SAARC Regions

2020 ◽  
Vol 39 (1) ◽  
Author(s):  
Adiqa Kiani ◽  
Ejaz Ullah ◽  
Khair Muhammad
Keyword(s):  
Economic Growth ◽  
Sri Lanka ◽  
Empirical Analysis ◽  
Environmental Degradation ◽  
Negative Relationship ◽  
Policy Makers ◽  
Significant Negative Relationship ◽  
The Impact

The main objective of this study is to investigate the impact of poverty, globalization, and environmental degradation on economic growth in the selected SAARC countries. This study is employed panel Autoregressive Distributive Lag (ARDL) technique for empirical analysis using selected SAARC regions including India, Pakistan, Bangladesh, Nepal and Sri Lanka over the period of 1980 to 2018. Globalization impacts economic growth positively and significantly.  In addition to this the significant negative relationship is found between population and economic growth. The results show that poverty is positively related with environmental degradation. Furthermore, the results indicate that globalization is positively and significantly associated with environmental degradation in the SAARC region. Finally, the results show that urbanization is positive and significantly associated with environmental degradation, which could be the serious concerns for the policy makers to control.

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 How Does Environmental Regulation Affect the Relationship between FDI and Technological Innovation: From the Perspective of Technology Transactions

Processes ◽  
2021 ◽  
Vol 9 (8) ◽  
pp. 1264
Author(s):  
Meng Zeng ◽  
Lihang Liu ◽  
Fangyi Zhou ◽  
Yigui Xiao
Keyword(s):  
Environmental Regulation ◽  
Technological Innovation ◽  
Pollutant Emissions ◽  
Regulatory Effect ◽  
Host Countries ◽  
Regional Heterogeneity ◽  
Industrial Sectors ◽  
Reduction Effect ◽  
The Impact ◽  
The Relationship

Many studies have found that FDI can reduce the pollutant emissions of host countries. At the same time, the intensity of environmental regulation would affect the emission reduction effect of FDI in the host country. This study aims to reveal the internal mechanisms of this effect. Specifically, this paper studies the impact of FDI on technological innovation in China’s industrial sectors from the perspective of technology transactions from 2001 to 2019, and then analyzes whether the intensity of environmental regulation can promote the relationship. Results indicate that FDI promotes technological innovation through technology transactions. In addition, it finds that the intensity of environmental regulation significantly positively moderates the relationship between FDI and technological innovation, which is achieved by positively moderating the FDI–technology transaction relationship. Regional heterogeneity analysis is further conducted, and results show that in the eastern and western regions of China, FDI can stimulate technological innovation within regional industrial sectors through technology trading. Moreover, environmental regulation has a significant positive regulatory effect on the above relationship, but these effects are not supported by evidence in the central region of China.

scholarly journals Competition and microfinance institutions’ performance: evidence from India

2020 ◽  
Vol 5 (1) ◽  
Author(s):  
Hailu Abebe Wondirad
Keyword(s):  
Empirical Analysis ◽  
Significant Relationship ◽  
Competitive Market ◽  
Microfinance Institutions ◽  
Self Sufficiency ◽  
Using Data ◽  
The Relationship ◽  
The Empirical Analysis

Abstract This paper empirically examines whether competition (measured by using the new measure of competition, the Boone Indicator) moderates the relationship between Microfinance Institutions’ (MFIs) social and financial performances using data from 183 Indian MFIs over the period 2005–2014. The findings indicate that MFIs’ social and financial performances have a positive significant relationship. Moreover, the form of the relationship is both lead-lag and cotemporal. The Indian microfinance market was very competitive over the period 2005–2014. The empirical findings show that competition positively moderates the relationship between MFIs’ social and financial performances. More precisely, the empirical analysis provides evidence that the association between MFIs’ depth of outreach and operational self-sufficiency is conditional upon competition. These results suggest that in a competitive market, the more MFI deepen their depth of outreach, the higher contribution it has to their operational self-sufficiency.

An Empirical Analysis of the Relationship between Economic Growth and Energy Utilization in China

2013 ◽  
Vol 734-737 ◽  
pp. 1666-1670
Author(s):  
Fei Hu Yang ◽  
Peng Zhang ◽  
Xiao Wei Wang
Keyword(s):  
Economic Growth ◽  
Empirical Analysis ◽  
Energy Utilization ◽  
Correction Model ◽  
Vector Autoregressive ◽  
Integration Test ◽  
Recycling Economy ◽  
The Relationship ◽  
The Empirical Analysis

Based on the co-integration test, error correction model and vector autoregressive model, the empirical analysis results show a long-term co-integration relationship between economic growth and energy utilization in China, energy consumption increased by 1%, GDP will increase by 1.342%. In order to raise the efficiency of energy utilization during China's economic development, suggestions like saving energy conservation, reducing emission and recycling economy have been proposed.

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