scholarly journals The impact of green credit on economic growth—The mediating effect of environment on labor supply

PLoS ONE ◽  
2021 ◽  
Vol 16 (9) ◽  
pp. e0257612
Author(s):  
Cai Chen ◽  
Yingli Zhang ◽  
Yun Bai ◽  
Wenrui Li

Background The progress of green credit in China is accelerating, but its development is uneven and insufficient in different regions. And whether the issuance of green credit can effectively promote the improvement of the environment and economy is not well understood. Objective Previous research has found that green credit promotes economic growth through improvement of the industrial structure and green technological innovation. However, these studies have not considered the positive externality of environmental improvement even though environmental improvement and economic growth are requirements of the sustainable development concept. Methods We use the chain-mediated model to estimate the impact of green credit issuance on the economic growth of different provinces since the large-scale implementation of green credit in China with data from 2008 to 2016. Results and conclusion This paper shows that the issuance of green credit can improve labor supply rather than labor productivity through the improvement of air quality to achieve regional economic growth. Such a chain-mediated path is different from the economic growth caused by industrial structural adjustment and green technology innovation. At the national level, every 1% increase in green credit issuance relative to industrial loans will increase the per capita gross domestic product (GDP) by approximately 4.6 yuan, or 0.012%, through air quality and labor supply, accounting for 2.875% of the total effect. Heterogeneity analysis indicates that due to regional industrial structure differences and diminishing marginal effects, the impact of green credit is stronger in the western region than in the eastern and central regions. For every 1% increase in the proportion of green credit issuance relative to industrial loans, the per capita GDP growth achieved through the chain-mediated path is approximately 30.17 yuan in the western region, approximately 6.6 times greater than that at the national level. Within a 95% confidence interval of 5000 bootstrap samples, this path is found to be true, and the chain-mediated effect accounts for approximately 12.96% of the total indirect effect. Limitations The limitation of this paper is the measurement of green credit. Although green credit has a large volume, it remains underdeveloped, and there is a lack of perfect indicators. Most existing studies have adopted only alternative or reverse indicators to measure the issuance of green credit. For example, this paper takes the interest expenditure of six high-energy-consuming enterprises as the reverse indicator, which may to a certain extent lead to the overestimation of the issuance of green credit and its impact on the environment and economy. Future research can accurately explore the performance of green credit on the basis of its mature development.

2020 ◽  
Vol 12 (14) ◽  
pp. 5626 ◽  
Author(s):  
Yujing Guo ◽  
Qian Zhang ◽  
Kin Keung Lai ◽  
Yingqin Zhang ◽  
Shubin Wang ◽  
...  

While previous study has confirmed significant correlation between infrastructure construction and air quality, little is known about the nature of the relationship. In this paper, we intend to fill this gap by using the Panel Smooth Transition Regression (PSTR) model to discuss the nonlinear relationship between transportation infrastructure construction and air quality. The panel data includes 280 cities in China for the period 2000-2017. We find that the transportation infrastructure investment is positively correlated to the air quality when the GDP per capita is below RMB 7151 or the number of motor vehicle population per capita is below 37 (vehicles per 10,000 persons) where the model is in the lower regime, and that the transportation infrastructure investment is negatively correlated to the air quality when the GDP per capita is greater than RMB 7151 or the number of motor vehicle population per capita is larger than 37 (vehicles per 10,000 persons) where the model is in the upper regime. The empirical results of the three sub-samples, including eastern, western and central regions, are similar to that of the national level. Furthermore, increasing transportation infrastructure investment is conducive to improving air quality. Urban bus services, green area, population density, wind speed and rainfall are also conducive to reducing air pollution, but the role of environmental regulation is not significant. After adding the instrumental variable (urban built-up area), the conclusions are further supported. Finally, relevant policy recommendations for reducing air pollution are proposed based on the empirical results.


2021 ◽  
Vol 251 ◽  
pp. 01113
Author(s):  
Jingying Zhu

Based on the basic regression model, this paper analyzes the impact of industrial informatization on China’s economic growth. The research shows that industrial informatization has a significant positive impact on China’s economic growth. Then, considering the significant differences in the development of industrial informatization in different regions of China, the paper further explores the regional heterogeneity of industrial informatization on economic growth. The results show that there are significant differences in the impact of industrial informatization on economic growth in the three major regions of East, Central and West. That is, industrial informatization has the strongest effect on promoting economic growth in the eastern region, followed by the central region, and industrial informatization has the weakest effect on promoting economic growth in the western region.


2021 ◽  
Vol 13 (7) ◽  
pp. 3745
Author(s):  
Tingying Chen ◽  
Haitian Lu ◽  
Rong Chen ◽  
Lina Wu

In this paper, we aim to study the relation between the marketization level in the western region of China and its economic development, and to provide policy guidance for the economic development of underdeveloped regions. Mixed methods data analysis was conducted using panel data from 82 prefecture-level cities in west China from 2003 to 2017. The overall regression results show that the level of marketization has a significant role in promoting economic growth. At the same time, regional heterogeneity analyses show that the sub-indicators of marketization have different degrees of influence on economic growth in the southwest and northwest of China, whereas the overall level indicator plays a significant role in both regions. In addition, the threshold panel model was used to test whether the influence of marketization on economic growth in the western region had interval characteristics. Through the self-sampling method, it was found that there are double thresholds. In terms of the gradual progress of the marketization level range, it shows a trend of first increasing, then decreasing and then increasing again. The results show that the level of marketization in west China has significantly promoted the economic development of the western region. Additionally, the impact of marketization on economic development in relatively backward regions is gradually increasing and surpassing that of relatively developed regions. Underdeveloped areas in west China can stimulate their advantages by continuously promoting the construction of marketization and improving the level of economic organization, so as to gradually narrow the development gap between regions.


2021 ◽  
Vol 1 (1) ◽  
pp. 47-52
Author(s):  
Cita Puspita Sari

Gender Inequality (gender inequality) is a classic problem in various countries, especially in developing countries like Indonesia. Gender inequality in various fields is considered to hinder economic growth. Slowing economic growth is considered to have a negative impact on income, both at the national level and the per capita level. Researchers are interested in examining per capita income as a proxy for economic growth. Per capita income is a measure of community welfare that is most often used by the government. This study aims to examine the description of gender inequality and per capita income in Indonesia, and analyze the impact of gender inequality on per capita income in Indonesia. The results of descriptive analysis show that there are still gender disparities in all provinces throughout Indonesia in 2011-2019. Furthermore, based on the results of the inference analysis using panel data, this study concludes that gender inequality simultaneously has a significant effect on per capita income. Gender inequality variables that have a partial effect include wages for women workers, women's labor force participation, and gender development


2017 ◽  
pp. 22-39 ◽  
Author(s):  
M. Ivanova ◽  
A. Balaev ◽  
E. Gurvich

The paper considers the impact of the increase in retirement age on labor supply and economic growth. Combining own estimates of labor participation and demographic projections by the Rosstat, the authors predict marked fall in the labor force (by 5.6 million persons over 2016-2030). Labor demand is also going down but to a lesser degree. If vigorous measures are not implemented, the labor force shortage will reach 6% of the labor force by the period end, thus restraining economic growth. Even rapid and ambitious increase in the retirement age (by 1 year each year to 65 years for both men and women) can only partially mitigate the adverse consequences of demographic trends.


2019 ◽  
Vol 118 (4) ◽  
pp. 129-141
Author(s):  
Mr. Y. EBENEZER

                   This paper deals with economic growth and infant mortality rate in Tamilnadu. The objects of this paper are to test the relationship between Per capita Net State Domestic Product and infant mortality rate and also to measure the impact of Per capita Net State Domestic Product on infant mortality rate in Tamil Nadu. This analysis has employed the ADF test and ARDL approach. The result of the study shows that IMR got reduced and Per capita Net State Domestic Product increased during the study period. This analysis also revealed that there is a negative relationship between IMR and the economic growth of Tamilnadu. In addition, ARDL bound test result has concluded that per capita Net State Domestic Product of Tamilnadu has long run association with IMR.


2021 ◽  
Vol 13 (4) ◽  
pp. 1969
Author(s):  
Donghui Lv ◽  
Huiying Gao ◽  
Yu Zhang

Identification of local priorities within each potential sector and implementation of a targeted development policy would definitely accelerate rural economic growth. In this sense, it is useful to examine each region’s industrial structural evolution compared to the whole economy and aggregate industries. Shift-share analysis has been confirmed as a useful method to measure regional economic differences and analyze the contribution of industrial structure. This paper selects five representative counties in Heilongjiang province and applies shift-share decomposition to analyze the change in rural economic development from 2000 to 2018. The change of economic growth in each selected county is decomposed into three components: national growth effect, industrial structure effect, and competitive effect, taking the national level as the reference. The results showed the following: (1) the trend of rural economic growth fluctuated greatly for nearly 20 years, distinguished by a mismatch of industrial structure with competitiveness for the selected counties; rural economies with an inappropriate industrial structure did not experience strong growth, despite high competitive potential. (2) The low-end agricultural structure and secondary industry structure led to the loss of each competitive effect; the tertiary industry structure based on economic structure servitization was rational, but the competitive effect did not work out. (3) Finally, this paper provided differentiated suggestions in accordance with local resources and priorities of the selected counties, so as to avoid excessive convergence and the lack of characteristics in industrial structure in rural transformation.


Author(s):  
Darma Mahadea ◽  
Irrshad Kaseeram

Background: South Africa has made significant progress since the dawn of democracy in 1994. It registered positive economic growth rates and its real gross domestic product (GDP) per capita increased from R42 849 in 1994 to over R56 000 in 2015. However, employment growth lagged behind GDP growth, resulting in rising unemployment. Aim and setting: Entrepreneurship brings together labour and capital in generating income, output and employment. According to South Africa’s National Development Plan, employment growth would come mainly from small-firm entrepreneurship and economic growth. Accordingly, this article investigates the impact unemployment and per capita income have on early stage total entrepreneurship activity (TEA) in South Africa, using data covering the 1994–2015 period. Methods: The methodology used is the dynamic least squares regression. The article tests the assertion that economic growth, proxied by real per capita GDP income, promotes entrepreneurship and that high unemployment forces necessity entrepreneurship. Results: The regression results indicate that per capita real GDP, which increases with economic growth, has a highly significant, positive impact on entrepreneurial activity, while unemployment has a weaker effect. A 1% rise in real per capita GDP results in a 0.16% rise in TEA entrepreneurship, and a 1% rise in unemployment is associated with a 0.25% rise in TEA. Conclusion: There seems to be a strong pull factor, from income growth to entrepreneurship and a reasonable push from unemployment to entrepreneurship, as individuals without employment are forced to self-employment as a necessity, survival mechanism. Overall, a long-run co-integrating relationship seems plausible between unemployment, income and entrepreneurship in South Africa.


2007 ◽  
Vol 13 (3) ◽  
pp. 379-388 ◽  
Author(s):  
Stanislav Ivanov ◽  
Craig Webster

This paper presents a methodology for measuring the contribution of tourism to an economy's growth, which is tested with data for Cyprus, Greece and Spain. The authors use the growth of real GDP per capita as a measure of economic growth and disaggregate it into economic growth generated by tourism and economic growth generated by other industries. The methodology is compared with other existing methodologies; namely, Tourism Satellite Account, Computable General Equilibrium models and econometric modelling of economic growth.


2021 ◽  
Vol 275 ◽  
pp. 01004
Author(s):  
Liu Ran

In this paper, using the panel data of the National Bureau of Statistics database from 2010 to 2019, and using the random effect model, we studied the impact of agricultural infrastructure investment on economic growth. The empirical results show that the investment in agricultural infrastructure can significantly improve the national economy, among which the investment in new infrastructure promotes the economic growth to a certain extent. After comparing the eastern, central and western regions, it is found that the investment in agricultural infrastructure in the western region contributes more to the economic growth, and the statistical results are more significant. Based on the analysis of the role of agricultural infrastructure investment in promoting economic growth, this paper will further discuss the relevant suggestions of the “two new and one heavy” policy in the agricultural field, and promote the adjustment of agricultural industrial structure with the improvement of agricultural infrastructure, and promote the formation of a new development pattern of “double circulation”.


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