The Impact of the Adjustment of China’s Industrial Structure on the Employment of College Graduates in 2016

2019 ◽  
pp. 43-64
Keyword(s):  
College Graduates ◽  
Industrial Structure ◽  
The Impact

scholarly journals Impacts of Foreign Direct Investment and Industrial Structure Transformation on Haze Pollution across China

2021 ◽  
Vol 13 (10) ◽  
pp. 5439
Author(s):  
Chenggang Li ◽  
Tao Lin ◽  
Zhenci Xu ◽  
Yuzhu Chen
Keyword(s):  
Foreign Direct Investment ◽  
Environmental Pollution ◽  
Direct Investment ◽  
Industrial Structure ◽  
Spatial Data Analysis ◽  
Annual Data ◽  
Eastern Region ◽  
Structure Transformation ◽  
Haze Pollution ◽  
The Impact

With the development of economic globalization, some local environmental pollution has become a global environmental problem through international trade and transnational investment. This paper selects the annual data of 30 provinces in China from 2000 to 2017 and adopts exploratory spatial data analysis methods to explore the spatial agglomeration characteristics of haze pollution in China’s provinces. Furthermore, this paper constructs a spatial econometric model to test the impact of foreign direct investment (FDI) and industrial structure transformation on haze pollution. The research results show that the high-high concentration area of haze pollution in China has shifted from the central and western regions to the eastern region and from inland regions to coastal regions. When FDI increases by 1%, haze pollution in local and neighboring areas will be reduced by 0.066% and 0.3538%, respectively. However, the impact of FDI on haze pollution is heterogeneous in different stages of economic development. FDI can improve the rationalization level of industrial structure, and then inhibit the haze pollution. However, FDI inhibits the upgrading level of industrial structure to a certain extent, and then aggravates the haze pollution. The research in this paper provides an important decision-making basis for coordinating the relationship between FDI and environmental pollution and realizing green development.

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 An Empirical Study on the Effect of Agricultural Infrastructure Investment on Economic Growth

2021 ◽  
Vol 275 ◽  
pp. 01004
Author(s):  
Liu Ran
Keyword(s):  
Economic Growth ◽  
Industrial Structure ◽  
Random Effect ◽  
Random Effect Model ◽  
Infrastructure Investment ◽  
National Bureau ◽  
Agricultural Field ◽  
Effect Model ◽  
New Development ◽  
The Impact

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”.

scholarly journals Analysis of financial development and industrial structure transformation

2021 ◽  
Vol 235 ◽  
pp. 02080
Author(s):  
Shuwei Harold Sun ◽  
Allen Wang ◽  
Huan Yu
Keyword(s):  
Financial Development ◽  
Industrial Structure ◽  
High Tech ◽  
Financial Industry ◽  
Estimation Model ◽  
Moment Estimation ◽  
Investment Structure ◽  
The Government ◽  
Role Of The Government ◽  
The Impact

This paper uses the relevant data from 2008 to 2017 to construct a multiple linear regression equation, and uses the generalized moment estimation model to explore the impact of financial development on industrial structure adjustment from the perspective of financial scale and efficiency. The results show that financial efficiency can promote the rationalization and upgrading of industrial structure, but the impact of financial scale on industrial structure is two-sided. Increasing financial scale can increase the amount of industrial financing and accelerate the process of industrial structure upgrading. However, blindly increasing the supply of loans will lead to the birth of bad investment, thus failing to promote the rationalization of industrial structure. Based on this, this paper puts forward some policy suggestions, such as promoting the diversified development of the financial industry, improving the imbalance of financial development in various provinces, promoting the reasonable investment structure and the development of high-tech industry, and giving full play to the role of the government.

scholarly journals An empirical analysis of the impact of technological innovation on China’s total employment

2021 ◽  
Vol 235 ◽  
pp. 02042
Author(s):  
Peihua Li
Keyword(s):  
Growth Rate ◽  
Technological Innovation ◽  
Industrial Structure ◽  
Impulse Response Function ◽  
Destructive Effect ◽  
Total Employment ◽  
Promotion Effect ◽  
Leading Role ◽  
Long Run ◽  
The Impact

Technological innovation represented by artificial intelligence and 5G networks has developed rapidly, since the reform and opening up, especially in recent years. Technological innovation promotes the upgrading of industrial structure, promotes the increase of employment in emerging industries, at the same time, eliminate the workers in backward industries, which will have an impact on overall employment. Therefore, this paper studies the impact of technological innovation on the total employment of China from an empirical perspective. Total Factor Productivity (TFP) and TFP growth rate calculated by the Solow residual method are used as indicators of the level of technological innovation, and the long-term cointegration regression model and short-term impulse response function are established with the number of employees and employment growth rate as the dependent variables, respectively. The study found that, the impact of technological innovation on employment levels has a stable promotion effect in the long run; in the short run, there is a destructive effect at first, but as time goes by, this destructive mechanism gradually occupies the peak, and the creative mechanism begins to take effect. The leading role, technological innovation has a steady promotion effect on employment.

scholarly journals The Influence of the Development of Digital Economy on the Upgrading of China’s Industrial Structure

2021 ◽  
Vol 235 ◽  
pp. 03062
Author(s):  
Yaling Li
Keyword(s):  
National Economy ◽  
Economic Model ◽  
Industrial Structure ◽  
Rapid Development ◽  
Digital Economy ◽  
The Internet ◽  
Profound Impact ◽  
Internet Development ◽  
The Impact

Nowadays, with the rapid development of the Internet, all walks of life are closely connected with the development of the Internet. Differences in the degree of integration between different industries and the Internet make the leading industries of the national economy constantly change, thus promoting the transformation and upgrading of the industrial structure. The impact of Internet development on the upgrading of industrial structure is not only that the interconnected technologies and platforms change the traditional economic model, but also that the integration of Internet and industry has a profound impact on the industrial structure.

scholarly journals Has “the Belt and Road initiative” Improved the Pollution Level?

2021 ◽  
Vol 275 ◽  
pp. 02023
Author(s):  
Jing Zheng
Keyword(s):  
Panel Data ◽  
Technological Innovation ◽  
Foreign Investment ◽  
Industrial Structure ◽  
Pollution Level ◽  
Belt And Road Initiative ◽  
Waste Gas ◽  
Belt And Road ◽  
The Impact ◽  
The Belt And Road

Based on the panel data of 278 prefecture-level cities in China from 2008 to 2018, this paper adopts DID method to verify the impact of “the Belt and Road initiative” on pollution level of these cities, the results are still robust through the placebo test and PSM-DID, the mechanism is also analyzed. The study found that “the Belt and Road initiative” has a significant effect on the emission of wastewater, waste gas and dust of cities in China; the mechanism test shows that “the Belt and Road initiative” has significantly reduced urban environmental pollution by promoting foreign investment, upgrading industrial structure and technological innovation.

scholarly journals Linking Mentoring and Job Search Behavior: A Moderated Mediation Model

SAGE Open ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 215824402110672
Author(s):  
Ruirui Lian ◽  
Wenjing Cai ◽  
Kun Chen ◽  
Hongru Shen ◽  
Xiaopei Gao ◽  
...  
Keyword(s):  
Undergraduate Students ◽  
Job Search ◽  
Self Efficacy ◽  
College Graduates ◽  
Self Regulation ◽  
Search Behavior ◽  
Survey Study ◽  
Job Search Behavior ◽  
Search Behaviors ◽  
The Impact

The present research aims to explore the impact of mentoring relationship on college graduates’ job search behavior among Chinese undergraduate students by examining the mediator of job search intention and the moderator of job search self-efficacy. A two-wave survey study was conducted in China ( N = 594). Our findings show a positive indirect relation between mentoring and college graduates’ job search behaviors through job search intention. The graduates’ job search self-efficacy positively moderated the indirect relationship such that when job search self-efficacy was higher, the influence of mentoring on behavior via job search intention was stronger. These findings extend the literature by clarifying how and when mentoring facilitates graduates’ job search behaviors and provide practical implications for facilitating a smooth school-to-work transition in China. As the first study that empirically clarifies why (through job search intention) and when (job search self-efficacy) mentoring function is positively related to job search behavior among Chinese undergraduate students, the present study contributes to the existing mentoring and job search literature. Future research is encouraged to extend the findings by integrating theory of planned behavior (TPB) with self-regulation theory toward deepening current understanding of how and when mentoring can contribute to a student’s success in job search behavior.

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