Economic Growth Mode Research Articles

Research on the impact and mechanism of digital economy on the development of new quality productivity: an empirical analysis based on provincial panel data from 2012 to 2022

With the continuous advancement of science and technology and the profound development of globalization, the conventional mode of economic growth and productivity's developmental trajectory have become inadequate to meet the demands of modern society. Consequently, innovation has emerged as a pivotal driving force for promoting economic and social progress, with new quality productivity being a significant outcome in this context. Drawing on provincial panel data from 2012 to 2022, this study explores the influence of the digital economy on new quality productivity's development and its underlying mechanisms. The findings demonstrate that the digital economy substantially fosters the advancement of new quality productivity, which remains valid even after conducting endogeneity tests. Mechanism analysis reveals that housing prices and social consumption levels exert notable regulatory effects on how the digital economy promotes new quality productivity's development: housing prices negatively regulate such promotion while social consumption levels play a positive adjusting role in their causal relationship. Heterogeneity analysis indicates that at both ends of China (Eastern and Western regions) as well as within industries characterized by medium-level structures, higher levels of digital economy significantly promote local advancements in new quality productivity. This investigation contributes to enhancing our understanding regarding the impacts, mechanisms, and regional disparities associated with developing new quality productivity through leveraging the potential offered by digital economy.

Carbon Kuznets curve in China: Nighttime light analysis in prefecture-level cities

Analysing the relationship between economic growth and carbon emissions may help China to determine how to reduce carbon emissions. This study examined 221 Chinese prefecture-level cities using data from 2003 to 2018 to investigate the possible inverted U-shaped relationship between carbon emissions and economic growth, based on per capita nighttime light brightness. This revealed a significant inverted U-shaped relationship between per capita nighttime and carbon emissions with a per capita GDP of 139.8 thousand Yuan corresponding to the turning point. For China to achieve its carbon emissions peak before 2030, the per capita GDP growth rate would need to be at least 6.6 %. Therefore, for help prefecture-level cities to achieve peak carbon, they must strive towards high-quality economic growth and accelerate transformation of economic growth modes to improve low-carbon pilot policies, and such projects should be implemented in more cities. Efforts to achieve peak should be accelerated first in eastern cities and later in western cities.

Analysis of Policy Options Based on Data-Driven Economic Cycles and Industrial Structure Upgrading

China's economy has achieved a high growth rate of 9.8% in cyclical fluctuations, and the industrial structure has been continuously improved with growth. However, the irrationality of the tertiary industry structure and its internal structure still restricts the sustainable development. The optimization of the industrial structure depends on many factors, such as government policies, economic growth mode, resource constraints, economic development stage and economic cycle stage. Based on data-driven analysis, this paper analyzes the general path and policy choice of economic cycle to adjust China's industrial structure, and the impact of economic cycle on the upgrading of industrial structure. After the actual analysis, we found that the threshold of economic growth in economically developed regions is high, the role of financial development in stimulating industrial structure is not prominent, and industrial upgrading is relatively difficult. Industrial upgrading is difficult.

Capitalism and Governance – a Macroeconomic Overview of “Everyone’s Interest”

Abstract The macroeconomic mode of economic growth, the backward-pyramidal evolution from the capitalist structure, the emergence of the free enterprise, and the corporate form of business organizations in our system of free markets are all examined in this research. This study aims to provide insight into the particularities of the many aspects of the governance process. This study focuses on privately held businesses that are publicly held by shareholders or social part owners. It also examines the state-corporate relationship and its effects on geo-social, political, and economic spheres.

Is the Structure of Technology Progress in China "Green"?

This paper argues that, considering input–output linkages, microeconomic technology progress may lead to CO2 mitigation of the entire economy. We develop an environmentally extended heterogeneous agents and input-output (EE-HA-IO) model to evaluate CO2 emissions in different technology progress scenarios. We also measure the rate of technology progress in each sector in China between 2002 and 2014, with the aim of showing whether technological progress is compatible with the carbon mitigation of technological progress in each sector. In other words, whether there is an upside down phenomenon between technological progress and CO2 emission reduction. Our main conclusions include: (1) Most industries (except energy sectors) have a negative carbon footprint to technology progress. (2) Technology progress in energy related sectors and in the upstream sectors of industrial chain can be found to have a strong potential of emission increase effect. (3) From 2002 to 2007, the number of mispairing sectors gradually increased, while decreased significantly in 2008-2014. The reason behind it is that China's economic growth mode has changed.

Impacts of spatial and temporal patterns and economic development on carbon emissions in Chinese cities

With the economic and social development and the improvement of peoples living standards, the urban carbon emission increases. Studying the influence of industrial structure and spatial patterns on carbon emission under the economic development of different cities can help to find the main factors affecting carbon emission, formulate policies to solve the problem according to local conditions, and provide an important scientific basis for the transformation of economic growth mode and the construction of low-carbon cities. This paper draws conclusions by analyzing the trend curves of urban carbon emissions and economic factors over the years. Different regions of the citys economic development potential differences are obvious, and the potential for greater spatial concentration of cities; citys economic development potential in the spatial and temporal distribution of key cities and major urban agglomerations as the basis for the point - line - surface in order to promote. economically developed cities, the total carbon emissions, carbon emissions growth rate of a declining trend; economically underdeveloped areas, the total carbon emissions, carbon emissions growth rate of a year-on-year trend; the degree of carbon emissions and the degree of prosperity of the secondary industry is closely linked. Chinas urban carbon emissions have a significant positive spatial correlation between 2006 and 2016, the cold spot area of urban carbon emissions is relatively stable, mainly distributed in the eastern and southern economic zones, while the hot spot area is mainly distributed in the northwest, northeast and the middle reaches of the Yellow River economic zone.

Research on Talent Cultivation of Local Applied College Students and Local Economic Development

With the transformation of China's economic growth mode from rough to intensive, from the emphasis on scale and speed to the pursuit of high quality and efficiency, and from factor investment-driven to innovation-driven, the local applied universities should develop in synergy with the regional economy and make progress in a coordinated manner. The concept of synergistic development of applied university education and regional economy points out the positioning of innovation and entrepreneurship talent cultivation objectives and reform direction of applied universities, based on the actual problems of innovation and entrepreneurship talent cultivation in local applied universities, from positioning the innovation and entrepreneurship talent cultivation objectives to serve the regional economic development, constructing the curriculum content system coordinated with the development of regional economy, and coordinating regional resources to build a diversified entrepreneurship practice platform. It discusses the path of innovation and entrepreneurship talent cultivation in local applied universities which is deeply connected with regional economy, positively interacted and synergistically developed.

Evaluation Model of Human Resource Allocation Balance for Healthy Environment in Organizations Based on Big Data Driven and Internet of Things

Abstract To improve the ability of balanced evaluation, dynamic allocation, level of output, and profitability of human resources, a balanced evaluation model of human resources allocation is proposed based on big data driven and the Internet of Things. An evaluation architecture model of human resource allocation balance in view of big data driven and the Internet of Things is established; a multithread big data driven configuration model and the Internet of Things are used to construct a table model of enterprise human resource optimal allocation in the form of reports; statistical regression analysis method is used to detect the risks and process parameters in the process of enterprise human resource optimal allocation; and employment elasticity theory analysis is taken to establish a resource factor analysis model of human resource balanced allocation under the constraint of economic growth mode. According to the changing trend of the scale and structure of labor resources, statistical regression analysis is adopted to make big data driven analysis in the process of balanced evaluation of human resources allocation, and balanced game control is adopted to analyze the relevant factors affecting human resources allocation to realize balanced scheduling of population flow and human resources allocation and automatic post adjustment. The empirical analysis results show that the system has a good balance in human resource allocation, the output efficiency among the various elements of human resource allocation is improved, and there is a high level of efficiency in human resource output.

Impact of the digital economy on low carbon sustainability evidence from the Yellow River Basin

As the digital economy increasingly dominates a substantial portion of the national economy, comprehending its role in promoting sustainable development has become an imperative research question—particularly in the context of the Yellow River Basin, where there exists an urgent need to shift toward more sustainable modes of economic growth. Utilizing panel data spanning from 1999 to 2020 for 114 cities in the Yellow River Basin, this study develops a comprehensive evaluation framework for sustainable development, incorporating economic, social, and ecological dimensions. The empirical findings reveal that the digital economy acts as a catalyst for sustainable development. Importantly, these results withstand both endogeneity tests and robustness checks. Further heterogeneity analysis indicates that the positive impact of the digital economy on sustainable development is more pronounced in regions directly traversed by the Yellow River and in areas with higher sustainability levels. Moreover, the enactment and implementation of the 13th Five-Year National Information Plan have emphasized the role of the digital economy in enhancing sustainable development. Mechanism tests also illustrate those elevated levels of personal digital acceptance and government intervention contribution to amplify the digital economy’s positive impact on sustainable development. In conclusion, policy recommendations are put forward, including optimizing industrial structure, strengthening data governance and environmental monitoring, promoting innovation-driven development, and fostering collaborative growth.

Study on the Transformation of China's Economic Growth Mode and Growth Sustainability

Study on the Transformation of China's Economic Growth Mode and Growth Sustainability

Study on the Transformation of China's Economic Growth Mode and the Sustainability of Economic Growth in Resource-Based Cities

Study on the Transformation of China's Economic Growth Mode and the Sustainability of Economic Growth in Resource-Based Cities

Resource-Based Utilization of Mineral Mining Operations in Panzhihua City, China: Basis for Strategic Plan

The comprehensive utilization of resources has become an urgent task to transform the mode of economic growth, develop a circular economy, build a resource-saving and environment-friendly society. The study conducted descriptive analysis to examine the resource-based utilization of mineral mining operations in Panzhihua City, China, through interviews with management and employees using questionnaires. It systematically described various aspects of mining operations, such as resource annual production, electric power consumption, manpower utilization, facilities and equipment, logistics, and production costs. Challenges highlighted included the gradual process of obtaining buy-in from managers and employees and convincing consumers to prioritize environmental protection. Based on these findings, a strategic plan was developed for mineral mining operators in Panzhihua City, focusing on addressing weaknesses and implementing strategies to improve resource utilization in areas like production, power consumption, manpower utilization, facilities, equipment, logistics, and production costs. These insights and strategies are crucial for mining operators in Panzhihua City to navigate challenges effectively and improve overall performance in resource utilization and allocation, ensuring long-term success and sustainability in the competitive mining industry landscape.

Profile, Status, and Prospects of Electronic Companies in Foshan City: Basis for Development Plan

The comprehensive utilization of resources has become an urgent task to transform the mode of economic growth, develop a circular economy, build a resource-saving and environment-friendly society, and an important way to ensure the sustainable use of resources, reduce the pressure of environmental pollution, improve the efficiency of resource utilization and improve the quality of economic development. The study utilized a descriptive research method, the study aims to depict the profile, status, and prospects of these companies, with a particular focus on marketing, technical, and financial aspects for strategies, and innovation, opportunities, and challenges for operations. The respondents involved in the research are the managers or business owners of these electronic companies. Significant findings reveal that the five electronic companies in Foshan City are substantial in size, operating as joint-stock companies with assets valued in millions of RMB and employing thousands of individuals, primarily focused on household appliances. Strategies within these companies, particularly in marketing, technical, and financial areas, require enhancement to meet the continuously evolving needs and demands of the market, influenced by changes in technology and consumer behavior. Operations within electronic companies, emphasizing innovation, opportunities, and challenges, are crucial variables to consider for improving competitiveness in the electronic products industry. The study's output presents a proposed development plan deemed helpful for the electronic companies in Foshan City, providing a roadmap for their future growth and success.

Drivers, scenario prediction and policy simulation of the carbon emission system in Fujian Province (China)

In response to the looming problems induced by climate change and the Paris Climate Summit, China has committed to capping the carbon-emission peak in 2030 and attaining carbon neutrality by 2060. Fujian Province is tasked with a demonstration and leading pilot duty to meet the national goal and international obligation. It aimed to realize a greener economic growth mode and contribute to reducing carbon emissions. This study explored key carbon-emission drivers in Fujian, applying the extended STIRPAT model. Five scenarios were developed to project future carbon emissions. The results pinpointed Fujian's carbon-emission drivers, namely industrial structure (the most important), accompanied by population, GDP per capita, energy intensity, and energy structure. The system dynamics model forecasted development scenarios and policy simulation of carbon emissions, which identified and evaluated the optimal path to reduce carbon emissions and achieve the peak carbon target. The baseline scenario failed to attain the peak carbon emissions by 2030. The green scenario was rated as the optimal path to reach peak carbon emissions of 339.922 million tons by 2028. The findings can reinforce the conceptual and empirical basis in formulating the best option in quantitative terms for Fujian to attain carbon emission, peak, and neutrality goals.

Have Pesticides and Fertilizers Improved Agricultural Development? The Threshold Effect Based on China’s Agricultural Film Usage

The use of agricultural films, pesticides, and fertilizers has increased in China, leading to the degradation of the agricultural ecological environment. Based on the panel data of 30 provinces in China from 2010 to 2021, this paper takes agricultural film usage as the threshold variable to study the impact of pesticide and fertilizer usage on agricultural development. The research results show that a single threshold effect of agricultural film usage is significant. When agricultural film usage is both a core and threshold variable, that is lower than the threshold value, every 1% increase in agricultural film usage will reduce agricultural output value by 0.9862%, and the impact is significant. When agricultural film usage crosses the threshold value, every 1% increase in agricultural film usage will increase agricultural output value by 1.1843%, and the impact is significant. When pesticide usage is the core variable, regardless of whether agricultural film usage is below or above the threshold, pesticide usage promotes agricultural development. Its impact is significant. When fertilizer input is a core variable, regardless of whether agricultural film usage is below or above the threshold, the use of fertilizers hinders agricultural development. The impact of fertilizer input on agricultural development is significant. Through empirical testing, this paper explores the deep relationship between agricultural film usage, pesticide usage and fertilizer input on agricultural development. These can effectively allocate agricultural production factors, transform the mode of agricultural economic growth, achieve the coordinated development of the ecological environment and agricultural economy and provide data support for the formulation of agricultural green development policies.

Sustainability of the New Energy Automobile Industry: Examining the Relationship among Government Subsidies, R&D Intensity, and Innovation Performance

One of the most important factors in fostering the sustainable growth of the world economy is the global green low-carbon transition. With its effective use of resources, its high technological requirements, and its high added value, the new energy vehicle industry exemplifies the potential for sustainability. Its growth satisfies the requirements of China’s transition to an economic growth mode. This study performs an empirical analysis, using panel data from 154 new energy vehicle companies for the years 2015 to 2020. It examines the role of research and development (R&D) intensity in the impact relationship between government subsidies, R&D intensity, and innovation performance. The study’s results reveal that government subsidies have a significant positive influence on the innovation performance of enterprises, with this effect being more pronounced in non-state-owned and large-scale enterprises. Moreover, the mechanism analysis indicates that R&D intensity serves as a mediator between government subsidies and innovation performance. Based on this, this paper proposes that the government should refine the subsidy policy and should scientifically classify the enterprise standards and that enterprises should enhance their R&D capability and should develop innovation mechanisms.

Digital finance and M&As: An empirical study and mechanism analysis.

With the rapid growth and wide application of digital technology, enterprises have entered the digital era with both opportunities and challenges existing. Mergers and acquisitions are one of the most efficient ways to integrate resources and achieve profit growth, giving enterprises advantages in competing in the new mode of economic growth. Based on this, this research tries to explore whether the development of digital finance will contribute to the emergence of M&As activities through combining M&As data of the Chinese stock market with the digital finance inclusion index between 2012 and 2020. The results show that the development of digital finance largely influences M&As activities through lower acquirers' financial constraints. We further replace digital finance with three sub-indexes including coverage breadth, usage depth, and digitalization level to explore the impact of different dimensions of digital finance on M&As. Results show that coverage breadth plays a more important role. In addition, heterogeneity tests reveal that the relationship between the development of digital finance and M&As activities varies significantly. The influences of digital finance on private and western and central enterprises are more significant compared with state-owned and eastern enterprises. According to the study, since the development of digital finance can be an efficient way to ease financial constraints and boost M&As activities, the government should promote the development of digital finance while companies strive to make the most use of it.

Convergence and depopulation processes in the Center-Periphery system

The paper proposes advancement of a stratum demographic model characterized by the presence of two strata — the Center and the Periphery, which are different in respects of their way of life, development level and social values. The processes of convergence and depopulation in the heterogeneous system of the Center-Periphery type were studied. Various variants of “catch-up development” of the Periphery are considered within the framework of numerical simulation. Modes of economic growth that contribute to the convergence of income levels in the countries of the Center and the Periphery are indicated, depending on the value of the characteristic time of convergence. There are identified the regimes of a stable and supposedly irreversible depopulation of the Periphery. It is shown that economic participation of the Center in changing the situation in the Periphery countries might be necessary to achieve economic convergence for maintaining the stability of the entire system. As an explanatory principle of the observed phenomena, the institutional trap concept is proposed. A number of socio-economic interpretations of the dynamics of the Center-Periphery system as well as the possibility of the System behavior control by appropriate management decisions are discussed on the results of computer modeling. Further development of the proposed model may include studying other scenarios of economic interaction and taking into account additional demographic and migration parameters in the equations of economic growth.

Research on digital intelligence business model based on artificial intelligence in post-epidemic era

PurposeThe 21st century has brought the business model earth-shaking changes, especially since the Corona Virus Disease 2019 (COVID-19) epidemic at the end of 2019. Now, the epidemic normalization is slowing down China's rapid development. However, technological development, like artificial intelligence (AI), is unstoppable and is transforming China's economic growth modes from factor-driven to innovation-driven systems. Therefore, it is necessary to study further the new changes in labor entrepreneurship and innovation business models and their mechanism of action on economic growth.Design/methodology/approachThis work studies how innovative human capital (IHC) uses AI and other scientific and technological (S&T) innovation technologies to promote China's innovation-driven economic growth model transformation from the labor entrepreneurship and innovation perspective.FindingsThe research shows that the entrepreneurial innovation ability of IHC can increase marginal return and output multiplier effect. It changes the traditional business model and promotes China's economic growth and innovation development. At the same time, this work analyzes China's inter-provincial panel data through the panel smooth transition regression (PSTR) model. It concludes that there is a nonlinear relationship between IHC and the output of innovative achievements. The main body presents three stages of nonlinear changes: first rising, then slightly declining, and rising so far.Originality/valueThe finding provides a direction for solving the problem of slow economic growth and accelerating the transformation of economic growth mode under epidemic normalization.

Bitcoin trading, economic growth, energy use, and CO2 emissions: An advanced panel study of emerging market economies

Carbon dioxide emissions pose a severe threat to the global eco-system and human health, yet at the same time the exponential growth of Bitcoin trading, unsustainable mode of current economic development, and the low efficient energy usage have become burgeoning issues in emerging market economies. By applying advanced econometric techniques, this research empirically tests the dynamic impacts of Bitcoin trading, economic growth, and energy use on CO2 emissions in the top 20 Bitcoin-trading emerging market economies from 2013 to 2020, highlighting results on the existence of cross-section dependence, slope heterogeneity, and unit roots in the panel data. Moreover, Bitcoin trading, economic growth, and energy use have a significantly positive effect on CO2 emissions from a long-term perspective. Findings further show that CO2 emissions have a bi-causal correlation with all three determinants. Relevant implications are offered as follows. For academic researchers, cross-section dependence and slope heterogeneity are important considerations, and ignoring them would lead to significantly biased inferences. Emerging market governments should introduce eco-friendly technology for Bitcoin trading, modify the present extensive mode of economic growth, and guard against unsustainable energy consumption.