scholarly journals Threshold Effect of Financial System on High-Quality Economic Development

2022 ◽  
Vol 2022 ◽  
pp. 1-14
Author(s):  
Lu Shen ◽  
Guohua He
Keyword(s):  
Economic Development ◽  
Industrial Structure ◽  
Positive Impact ◽  
Threshold Model ◽  
Financial System ◽  
Threshold Effect ◽  
High Quality ◽  
Optimal Interval ◽  
Development Level ◽  
The Impact

The relationship between financial system and economic development is not a simple linear relationship. In some cases, the development of finance may not improve the economic development level. This paper studies the influence of the financial system on the high-quality economic development, constructs the comprehensive index of the financial system by the factor analysis method, and calculates the green total factor productivity as the index of high-quality economic development by the CRS multiplier model. Empirically, this paper takes the panel data of 30 provinces, municipalities, and autonomous regions in China from 2005 to 2018 as samples, constructs the panel threshold model, and applies the financial system, economic development level, infrastructure, and industrial structure as threshold variables to study the nonlinear relationship between the financial system and high-quality economic development. The results demonstrate that the impact of the financial system on the high-quality economy presents an inverted U-shaped relationship when the financial system and industrial structure are the threshold variables, indicating that there is an optimal interval, that is, when the financial system threshold is between 0.1355 and 0.1377 and the industrial structure threshold is between 0.1364 and 0.1408, the financial system plays a greater role in the allocation of funds and has the most obvious positive impact on high-quality economic development. Meanwhile, the impact of the financial system on the high-quality shows a marginal decreasing trend when the economic development level and infrastructure are the threshold variables; when the economic development threshold is less than 0.1409 and the basic setting threshold is less than 0.1167, the financial system has the greatest effect on promoting high-quality economic development. Based on the research results, targeted policy suggestions are put forward.

scholarly journals Impacts of Green Innovation, Institutional Constraints and Their Interactions on High-Quality Economic Development across China

2021 ◽  
Vol 13 (9) ◽  
pp. 5277
Author(s):  
Chenggang Li ◽  
Jun Wan ◽  
Zhenci Xu ◽  
Tao Lin
Keyword(s):  
Economic Development ◽  
Positive Impact ◽  
Threshold Model ◽  
Eastern China ◽  
Government Support ◽  
Central China ◽  
Institutional Constraints ◽  
Green Innovation ◽  
High Quality ◽  
The Impact

In 2015, China put forward five development concepts, propounded the concept of green development and green innovation, and adhered to the road of sustainable development. China also promoted the vision of high-quality economic development in 2017. It is very important to study the impacts of green innovation on high-quality development. However, scant research has been conducted on the impact of green innovation and institutional constraints on high-quality economic development simultaneously over both space and time in China. In this study, we analyze the impacts of green innovation on high-quality economic development across China from 2014 to 2018. The panel data model and the panel threshold model are developed, and the impact of green innovation and institutional constraints on high-quality economic development is empirically analyzed. Our results indicate that the comprehensive index and the level of high-quality economic development in all regions of China are increasing consistently. At the national level, addressing green innovation and institutional constraints have shown a significant positive impact on high-quality economic development. At the regional level, the interaction of green innovation and institutional constraints (i.e., mitigation of institutional constraints by green revolution) has a more positive impact on the economic quality of eastern China than that of central China. The interaction between green innovation and institutional constraints shows no positive impact on the high-quality economic development of the central and western regions because the green innovation, institutional constraints, and economic development in the central and western regions are weaker than those in the eastern regions. Therefore, it is suggested that different regions of China, especially the central and western ones, should strengthen green innovation, improve the market system, and increase government support.

scholarly journals Research on the Impact of Green Technology Innovation on Energy Total Factor Productivity, Based on Provincial Data of China

2021 ◽  
Vol 9 ◽  
Author(s):  
Mengxin Wang ◽  
Yanling Li ◽  
Gaoke Liao
Keyword(s):  
Total Factor Productivity ◽  
Industrial Structure ◽  
Technology Innovation ◽  
Threshold Model ◽  
Threshold Effect ◽  
Green Technology ◽  
Mediating Effect ◽  
Factor Productivity ◽  
Influence Mechanism ◽  
The Impact

Against the background of carbon peaking and carbon neutralization, green technology innovation plays an important role in promoting the energy total factor productivity (TFP). This study verifies the impact of green technology innovation on energy TFP in a complete sample and the subsamples by region, by constructing a panel threshold model, and analyzes its influence mechanism on the basis of the mediating effect test based on annual provincial data of mainland China from 2005 to 2018. The empirical results reveal the following: first, with the level of economic development as the threshold variable, there is a threshold effect in the impact of green technology innovation on the energy TFP; second, green technology innovation has an impact on the energy TFP through industrial structure upgrading; that is, industrial structure has a mediating effect in the influence mechanism; and third, there is heterogeneity in the impact of green technology innovation on the energy TFP among different regions in China, and the threshold effect only exists in the western region, since the central and eastern regions have crossed a certain developmental stage.

scholarly journals Does Environmental Regulation Improve the Green Total Factor Productivity of Chinese Cities? A Threshold Effect Analysis Based on the Economic Development Level

2021 ◽  
Vol 18 (9) ◽  
pp. 4828
Author(s):  
Xinfei Li ◽  
Chang Xu ◽  
Baodong Cheng ◽  
Jingyang Duan ◽  
Yueming Li
Keyword(s):  
Economic Development ◽  
Environmental Regulation ◽  
Removal Rate ◽  
Threshold Effect ◽  
Waste Utilization ◽  
Utilization Rate ◽  
Treatment Rate ◽  
So2 Removal ◽  
Development Level ◽  
The Impact

Improvement of green total factor productivity (GTFP) through environmental regulation is of great practical significance in promoting the high-quality development of urban economies. Based on panel data for 163 cities in China from 2003 to 2016, five indicators were selected to quantify the effects of environmental regulation: the SO2 removal rate, smoke and dust removal rate, solid waste utilization rate, domestic sewage treatment rate, and waste harmless treatment rate. This study evaluated the impact of environmental regulation on urban GTFP, and analyzed the threshold effect of urban economic development levels. The research results showed that the impact of environmental regulations on GTFP changed as the level of urban economic development increases. When the economic development level was low, environmental regulation had a significant positive effect on GTFP, especially the SO2 removal rate. When the economy developed to reach a medium level, the impact of environmental regulation on GTFP was negative. When the economic development level was high, the SO2 removal rate still had a significant positive impact on GTFP. The solid waste utilization rate had a significant negative impact on GTFP. It was concluded that the government should consider the local economic development level when formulating environmental regulation policies.

scholarly journals The Heterogeneous Influence of Infrastructure Construction on China’s Urban Green and Smart Development—The Threshold Effect of Urban Scale

Land ◽  
2021 ◽  
Vol 10 (10) ◽  
pp. 1015
Author(s):  
Lingyan Xu ◽  
Dandan Wang ◽  
Jianguo Du
Keyword(s):  
Human Capital ◽  
Capital Investment ◽  
Industrial Structure ◽  
Positive Impact ◽  
Smart Cities ◽  
Urban Green ◽  
Positive Effects ◽  
Development Level ◽  
Telecommunication Infrastructure ◽  
The Impact

The construction of green and smart cities is an important approach to enhancing the level of high-quality development and modern governance, in which infrastructure construction is the antecedent condition. From the perspective of green total factor productivity (GTFP), this paper adopts the SBM–GML (Slack-Based Model and Global Malmquist–Luenberger) index to measure the urban green and smart development level (GSDL) considering smart input–output factors. Based on the panel data of China’s 223 prefecture-level cities from 2005 to 2018, the dynamic impacts, temporal, and spatial differences of energy, transportation, and telecommunication infrastructure construction on the urban GSDL are discussed, and the threshold effects of urban scale are tested. The following conclusions are drawn: (1) On the whole, energy infrastructure inhibits the urban GSDL, while transportation and telecommunication infrastructures significantly promote it. There are distinct spatial and temporal characteristics among the impacts of these three infrastructures on the urban GSDL, in which the facilitating role of transportation and telecommunication infrastructures are further enhanced during the period of 2013–2018. Furthermore, the impacts of these three infrastructures on the urban GSDL all show “U” shape in terms of non-linearity. (2) Economic development level and industrial structure have significant positive effects on the urban GSDL, whereas human capital only has positive effect in the northeast and southwest regions, and government scale shows no positive impact yet. (3) There is a single threshold for the impact of urban scale on these three infrastructures, among which the impacts of energy and transportation infrastructures on the urban GSDL remain consistent before and after the threshold, while the impact of telecommunication infrastructure on the urban GSDL varies from having no significance to being positive when crossing the threshold. Thus, capital investment for infrastructure construction should be further allocated reasonably, the positive potential of human capital should be fully released, and the urban scale should be appropriately controlled in the future.

scholarly journals Environmental Regulation and High-Quality Development in China

2021 ◽  
Vol 3 (5) ◽  
pp. 105-112
Author(s):  
Wentao Xu
Keyword(s):  
Environmental Regulation ◽  
Negative Impact ◽  
Positive Impact ◽  
Empirical Test ◽  
Pollutant Emission ◽  
Quality Development ◽  
High Quality ◽  
Positive Role ◽  
Development Level ◽  
The Impact

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.

scholarly journals Exploring the influencing factors of continuous crop residue supply: from the perspective of a sustainable and bioenergy-oriented crop cultivation

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Xin Long Xu ◽  
Hsing Hung Chen ◽  
Yi Li
Keyword(s):  
Economic Development ◽  
Influencing Factors ◽  
Crop Residue ◽  
Crop Residues ◽  
Positive Impact ◽  
Climatic Conditions ◽  
Raw Material ◽  
Crop Cultivation ◽  
Development Level ◽  
The Impact

Abstract Background Crop residues are an important raw material for bioenergy. There is, however, obvious seasonality in crop harvests, and thus, a continuous supply of crop residues and its respective influencing factors should be investigated. Methods In this paper, the impacts of geographical climatic conditions, characteristics of crops and the macroeconomic status exerted on the continuity of crop residue supply were analysed. Likewise, the effects of various factors on the supply of crop residues were examined. Results The results indicate that planting scale, crop diversity, climatic conditions, and topography have a significantly positive impact on a continuous crop residue supply, whereas the planting structure, temperature square term, energy pressure, and the economic development level have a significantly negative one. Finally, a regression-based decomposition method was used to measure the contribution rate of each variable onto the inequalities in the continuous supply of crop residues, which confirms that the impact of characteristics of crops on its continuous supply was the highest. The economic development level is the most important factor that affects the inequalities in the continuity of crop residue supply. Conclusions The above results were achieved by using different measurement methods, and based upon the findings obtained, this paper proposes policies and suggestions for ensuring sustainable and bioenergy-oriented crop cultivation.

scholarly journals Artificial Intelligence Assists the Construction of Quantitative Model for the High-Quality Development of Modern Enterprises

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Min Li ◽  
Zamira Madina
Keyword(s):  
Artificial Intelligence ◽  
Economic Development ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Eastern Region ◽  
Quality Development ◽  
High Quality ◽  
Enterprise Value ◽  
Development Level ◽  
The Impact

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.

scholarly journals The influence of spatial distribution of producer services on high quality development of manufacturing industry

2021 ◽  
Vol 292 ◽  
pp. 03018
Author(s):  
LiXian Chen ◽  
XinMing Cai ◽  
KaiZhang Zou
Keyword(s):  
Economic Development ◽  
Spatial Distribution ◽  
Manufacturing Industry ◽  
Geographical Location ◽  
Quality Development ◽  
Producer Services ◽  
High Quality ◽  
Development Level ◽  
The Impact

Based on the provincial data of China from 2004 to 2018, this paper empirically tests the impact of the spatial distribution of producer services on the high-quality development of manufacturing. It is found that the spatial distribution of producer services significantly promotes the high-quality development of manufacturing, and there is no heterogeneity of geographical location and economic development level.

IMPACT OF GOVERNMENT DEBT ON FINANCIAL SECURITY OF UKRAINE

2017 ◽  
Author(s):  
Olena Pikaliuk ◽  
◽  
Dmitry Kovalenko ◽  
Keyword(s):  
Economic Development ◽  
Public Debt ◽  
Positive Impact ◽  
The State ◽  
Financial Security ◽  
State Budget ◽  
The Public ◽  
Debt Security ◽  
The Stability ◽  
The Impact

One of the main criteria for economic development is the size of the public debt and its dynamics. The article considers the impact of public debt on the financial security of Ukraine. The views of scientists on the essence of public debt and financial security of the state are substantiated. An analysis of the dynamics and structure of public debt of Ukraine for 2014-2019. It is proved that one of the main criteria for economic development is the size of public debt and its dynamics. State budget deficit, attracting and using loans to cover it have led to the formation and significant growth of public debt in Ukraine. The volume of public debt indicates an increase in the debt security of the state, which is a component of financial security. Therefore, the issue of the impact of public debt on the financial security of Ukraine is becoming increasingly relevant. The constant growth and large amounts of debt make it necessary to study it, which will have a positive impact on economic processes that will ensure the stability of the financial system and enhance its security.

Impact of marine industrial structure on environmental efficiency

2020 ◽  
Vol 31 (1) ◽  
pp. 111-129 ◽  
Author(s):  
Shuhong Wang ◽  
Lu Xing ◽  
Hanxue Chen
Keyword(s):  
Human Capital ◽  
Economic Development ◽  
Ownership Structure ◽  
Industrial Structure ◽  
Environmental Efficiency ◽  
Content Type ◽  
Development Level ◽  
Marine Economy ◽  
Marine Environmental ◽  
Land Economic

Purpose Recently, China has been paying increasing attention to how to improve the efficiency of the marine environment and realize a green and sustainable development of the marine economy. Consequently, the industrial structure is crucial to improving efficiency. The purpose of this paper is to introduce environmental factors into the efficiency analysis framework and explore the relationship between marine industrial structure and marine environmental efficiency. Design/methodology/approach This paper uses marine economic data under the DEA-BBC model to measure the marine environmental efficiency of provinces and cities and classifies them by cluster analysis. Then, the marine industrial structure and marine environmental efficiency are studied by an econometric model with human capital, ownership structure, land economic development level, scientific research input and government intervention degree as control variables. Findings The overall level of marine environmental efficiency is relatively low in China, increasing and then decreasing over the research period. The rationalization of industrial structure and scientific research input have significant promoting effects on marine environmental efficiency, while the degree of government intervention has a significant inhibiting effect. The positive effect of human capital on efficiency depends on whether it can be successfully converted into productivity. The effects of industrial structure advancement, ownership structure and land economic development level of on the marine environmental efficiency are mixed. Originality/value The results provide a theoretical and decision-making basis for China to transform and upgrade its marine industrial structure and sustainably develop the marine economy.

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