scholarly journals Green Credit, Environmental Pollution and High-Quality Development of Green Economy

Author(s):  
Weidan Zheng ◽  
Luni Zhang

Abstract Based on the panel data of 30 provinces (cities and districts) in China from 2003 to 2019, this paper uses the Green Development Index System jointly formulated and released by the National Development and Reform Commission, the National Bureau of Statistics, the Ministry of Environmental Protection and the Central Organization Department to construct a comprehensive index system which can calculate the high-quality development index of green economy, and research the impact of green credit, environmental pollution and high-quality development of green economy. The results show that: (1) The improvement of green credit is conducive to promoting the high-quality development of green economy. Considering the high autocorrelation of the high-quality development of green economy, the impact of green credit on the high-quality development of green economy is still robust and does not depend on the specific metrology. (2) With Moran Index, it is found that the high-quality development of green economy has spatial characteristics. By using Spatial Dobbin Model (SDM), it is found that under both (0,1) weight matrix and geographical distance weight matrix, the impact of green credit on the high-quality development of green economy is positive, forming a positive spatial spillover effect on the high-quality development of green economy in surrounding areas. (3) By using the Intermediary Effect Model,it can be seen that environmental pollution plays a partial intermediary effect between green credit and high-quality development of green economy. There is a transmission channel of "green credit → environmental pollution → high-quality development of green economy". (4) By using Panel Quantile Regression Model, it is found, with the improvement of high-quality development of green economy, that the promotional effect brought by green credit increased.

2021 ◽  
Vol 275 ◽  
pp. 01076
Author(s):  
Yuxin Zhang ◽  
Chenghao Sun

Based on provincial data from 2010 to 2015, this paper uses regression model to analyze the impact of informal environmental regulation on investment of environmental pollution. The regression result shows that informal environmental regulation can significantly promote environmental investment of environmental pollution. Therefore, it is necessary to improve the mechanism of citizens’ environmental participation and strengthen environmental relative investment, ultimately promoting high-quality development.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Hongyang Wang ◽  
Baizhou Li

AbstractThe high-quality development of the manufacturing industry is an important strategic task for Chinese economic development. The rapid development of the manufacturing industry is also accompanied by problems such as overcapacity and environmental pollution. This paper analyzes the impact of capacity utilization on the high-quality development of manufacturing and establishes a nonlinear threshold regression model on this basis, and studies and analyzes environmental regulations as a threshold variable under the influence of capacity utilization rate on the high-quality development of the manufacturing industry. The research results show that: capacity utilization, profitability, foreign direct investment, and government participation all have a significant positive impact on the high-quality development of the manufacturing industry; environmental regulations have a significant negative impact on the high-quality development of the manufacturing industry. And in the model of the effect of capacity utilization on the high-quality development of the manufacturing industry, environmental regulation has a single threshold effect. With the increase in the intensity of environmental regulation, the coefficient and significance of the effect of capacity utilization on the high-quality development of the manufacturing industry have changed. Finally, this article puts forward corresponding policies and suggestions based on the results of data analysis.


2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Shuangliang Yao ◽  
Xiang Su

This paper uses the super-efficiency SBM model to measure the green economic efficiency considering undesired output and analyzes the spatial distribution difference of green economic efficiency; secondly, the nonlinear panel threshold model is used to empirically study the nonlinear relationship between environmental regulations and green economic efficiency, and further analyzed the threshold effect of environmental regulations on the efficiency of green economy and concluded as follows. (1) The green economy efficiency index in the eastern region is mostly more significant than 1, and the green economy efficiency in most provinces in the eastern region has improved. These provinces have higher regional production levels and less environmental pollution. The green economy efficiency of the central region is second only to the eastern region. The green economy efficiency of provinces in the western region except Chongqing is less than 1, indicating that these provinces have insufficient regional production, severe environmental pollution, or extensive resource depletion. (2) The impact of environmental regulations on the efficiency of the green economy presents an inverted “U” shape, with a threshold of 0.5128 for environmental regulations. The impact of the industrial structure on the efficiency of the green economy changes from inhibition to promotion after crossing the threshold of the intensity of environmental regulation, and the degree of opening to the outside world has a complementary effect on the efficiency of the green economy. The impact of urbanization on the efficiency of the green economy changes from promotion to suppression after surpassing the threshold of the intensity of environmental regulations.


2021 ◽  
Vol 3 (5) ◽  
pp. 105-112
Author(s):  
Wentao Xu

This paper uses the data of 30 provincial regions in mainland China except Tibet from 2006 to 2018 to weighted measure the intensity of environmental regulation through the weight determined by the ranking of pollutant emission intensity year by year; Based on the three subsystems of economy, society and environment, this paper constructs a high-quality development measurement index system, and determines the weight year by year by entropy method, as well as measures the high-quality development level by weight; From the perspective of enterprise production decision, the influence of environmental regulation on high-quality development is theoretically deduced. Through the empirical test of two threshold models with environmental regulation intensity and per capita GDP as the threshold, it confirms each other, and empirically analyzes the impact of environmental regulation intensity on high-quality development level. The research results show that: The impact of environmental regulation intensity on high-quality development level, with the change of enterprises’ decision-making to deal with environmental regulation, has an obvious threshold effect. Before reaching the threshold, the increase of environmental regulation intensity has a negative impact on high-quality development; After reaching the threshold, the impact of the increase of environmental regulation intensity on high-quality development may have a short uncertain stage, followed by a positive impact. Government environmental regulation should be combined with the local stage to avoid the misunderstanding of blindly improving the intensity of environmental regulation; Government environmental regulation should focus on reducing the cost of cleaner production and technological innovation, and accelerate the formation of “forced“ innovation mechanism of environmental regulation, so as to give full play to the positive role of environmental regulation in promoting high-quality and high-development.


2021 ◽  
Vol 7 (5) ◽  
pp. 867-878
Author(s):  
Zhang Lingwei ◽  
Wang Yan

The relation between political and business is a major social relationship nowadays, it is also an significant factor affecting the regional economic development. In 2016, the state leader has also proposed to build a new type of “close” and “cleaning” political and business relationship. Under the new normal, China’s economic development has changed from emphasis on increment to quality. In the Hi-Q development, real economy is the cornerstone of the overall economic. In recent years, as an emerging real economy, electronic cigarette industry has fast-paced in China. The upstream and downstream industrial chains are mainly concentrated in China’s eastern coastal areas, what follows is the rapid spreading of electronic cigarette stores. Thus, it is essential to probe the impact of the new political business relationship on the Hi-Q development of the electronic cigarette industry, exploring ways to improve the new political business relationship, to the extent that realize the Hi-Q development of it. This study uses the empirical analysis on the influence of the new political business relationship on the high-quality development of the electronic cigarette industry. In empirical analysis, the first process is to set up the index system of Hi-Q development level of the electronic cigarette industry combined with the new development concept, according to the data of the eastern coastal areas from 2011 to 2017, then use the entropy method to assess the Hi-Q development index of the electronic cigarette industry of eastern coastal provinces, and finally use the fixed effect panel model, select the government intervention as the core explanatory variable, select the corruption index and legal environment as the important explanatory variables and human capital as the controlled variables to implement empirical analysis on the influence of new political business relationship on the high-quality development of the electronic cigarette industry. The upshot demonstrate that new political business relationship can facilitate the Hi-Q development of the electronic cigarette industry effectively. As a result, the new political business relationship can effectively facilitate the high-quality development of the electronic cigarette industry.


Author(s):  
Ramprasad Vasthare ◽  
Shriya Dhaundiyal ◽  
Sunaina Puri

Human development is a direct function of human capability, understood through the different facets of the human development index. The impact of gender inequality, women empowerment, environmental and socioeconomic sustainability has also been described in this review. It brings forth and reinforces that national development is an assessment of not only per capita income but by other influential factors which affect development comprehensively, such as educational achievements and health. A thorough primary screening was done for articles on human development index using the data bases of PubMed, Scopus and Google Scholar using the key words human development, United Nations, measures, indicators and index, followed by a secondary screening, with due concern to avoid overlap of information. The articles were categorized based on the subject of Human Development with due prioritization. Human development index has evolved periodically taking into consideration the developments, limitations and criticisms. It has become an important indicator of human progress and serves as a guide to state, societal, community and individual developments. India currently holds a rank of 130 denoting medium human development.


2021 ◽  
Author(s):  
Jun Zhang ◽  
Jiangquan Wang ◽  
Linling Zhang ◽  
Lei Zhao

Abstract Ensuring industrialization and energy security in a positive direction at the same time is significant to achieve high-quality development of the regional economy. This study attempts to provide two evaluation index systems for industrialization and energy security in the new era and discuss the impact of industrialization on energy security in the new era. In doing so, industrialization in the new era is evaluated by the ratio of quality expansion and quantity improvement during industrial development, then the evaluation system of energy security is put forward which has a total of 18 indexes in three dimensions, including energy supply security, energy consumption security, and energy supply-demand matching security. Entropy weight is used to evaluate industrialization and energy security levels of 30 provinces in China, then we compare respectively the changes of industrialization and energy security before and after the new era. Next, we examine the impact of industrialization on energy security in the new era for 30 provinces in China during the period from 2008 to 2017 by using the panel Tobit model. The study shows that: in the new era, the industrialization is pursuing high-quality development at a faster pace but energy security is threatened by deteriorated supply-demand matching security; there is an positive relationship between industrialization and energy security, and also supply security and consumption security,but the positive relationship between industrialization and matching security is not statistically significant; GDP per capita can inhibit energy security, green technology efficiency and the ratio of capital to labor will improve energy security. Finally, some suggestions are put forward from four aspects: building an environment-friendly development model, encouraging green technological innovation, optimizing the input structure of factors, and building a dynamic balance of energy supply and demand.


2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Min Li ◽  
Zamira Madina

Artificial intelligence companies are different from traditional labor-intensive and capital-intensive companies in that their core competitiveness lies in technology, knowledge, and manpower. Enterprises show the characteristics of a high proportion of intangible assets, strong profitability, and rapid growth. At the same time, there are also the characteristics of high risk and high uncertainty. In addition to the existing value brought by existing profitability, corporate value should also consider the potential value brought by potential profitability. Enterprise value is affected by many factors such as profitability, growth ability, innovation ability, and external environment. Traditional valuation techniques are often utilised to value artificial intelligence businesses in the present market. Traditional valuation methods ignore the dynamics and uncertainties of artificial intelligence enterprise value evaluation, make static and single predictions of future earnings, ignore the value of enterprise management flexibility, and are unable to assess the intrinsic value of artificial intelligence businesses. Based on the projection pursuit method, this paper constructs a modern high-quality development enterprise high-quality development evaluation model, uses real-code accelerated genetic algorithm to optimize the projection objective function, and calculates the best projection direction vector and projection value. The collected sample data can be imported into the evaluation model to calculate the comprehensive evaluation value of the high-quality development of modern high-quality development enterprises and the weights of various indicators included. By comparing the size of the comprehensive evaluation value, each sample can be calculated Evaluation of the level of high-quality development. The results show that the high-quality development level of China’s overall economy is on the rise, but the level of development is still low, and there is a large gap between the development level of the eastern region and the central and western regions. Using the systematic generalized moment estimation method, empirically, we analyse the impact of artificial intelligence on the high-quality economic development. The results show that artificial intelligence at the national level and in the central and western regions will significantly promote high-quality economic development, while artificial intelligence in the eastern region has a significant inhibitory effect on high-quality economic development.


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