Economic Development Mode Research Articles

Decoupling Energy Consumption from Economic Growth in Beijing-Tianjin-Hebei Region from 2005 to 2019

As the capital economic circle in China, Beijing-Tianjin-Hebei region has experienced rapid economic development depending on a large amount of fossil fuel energy consumption in decades. Based on Tapio decoupling index, this paper logically analyzes the nexus between economic growth and energy consumption in Beijing-Tianjin-Hebei region from 2005 to 2019. An interesting result is obtained: except for the strong decoupling state in 2012-2013, the relationship between economy and energy consumption showed weak decoupling state for the rest of the research period. In addition, the decoupling elasticity coefficient of weak decoupling varies greatly in different years. The empirical results suggest that adjust economic development mode and transform energy consumption structure are the most necessary means for the future coordinated development of energy-economy-environment in Beijing-Tianjin-Hebei region.

Impact Analysis of Environmental Regulation and Improvement of Agricultural Economic Efficiency on Living Environment Based on Systematic GMM Model.

The living environment is of vital importance to human beings and is also the basis for their survival and development. Along with the accumulation of people's production and living experience, people are seeking their own development while studying the living environment more deeply. In recent years, various regions and departments have conscientiously implemented the relevant decisions and deployments. They have promoted the construction of rural infrastructure and the equalisation of basic public services between urban and rural areas, so that the rural living environment can be gradually improved. The rapid development of urban-rural integration has brought great opportunities and challenges for rural development, making rural development issues increasingly complex and affecting the effectiveness of the construction of a new rural habitat. At the same time, the agricultural economy is the basis of national economic development, and the ecological environment provides a certain amount of material environment for the development of the agricultural economy. Therefore, research on the harmonious development of the agricultural economy and the ecological environment has always been a hot issue for the authorities concerned. After all, China's agricultural economic development mode is characterized by a rough-and-ready approach, and the agroecological environment continues to deteriorate, leaving the issue of sustainable agricultural development to be resolved. What is worse, in the practice of agricultural production, the related agricultural activities have brought serious pollution to the environment. Specifically, the carrying capacity of the agricultural ecological environment is declining, leading to an increasingly serious conflict between sustainable agricultural economic development and the construction of an environmentally friendly and resource-saving society. In China, although the industrialization process is accelerating, the agricultural population still accounts for a large proportion of the population. As people's living standards continue to improve, a favorable living environment has become an urgent need for farmers. As a result, strengthening the construction of rural infrastructure, improving rural living conditions, and improving rural environmental sanitation are important issues that need to be addressed urgently. Therefore, to further investigate the impact of environmental regulation and agricultural economic efficiency on the habitat, this study constructs a systematic GMM model using panel data for 30 provinces and regions in China from 2011 to 2021.

Dynamic Relationship Between China’s Environmental Protection Investment and Regional, Environmental Pollution

The carrying capacity of China’s resources and environment has reached a limit. The economic development of different regions has been forced to abandon the original economic development mode manifesting high pollution, high energy consumption, and high emission and to step forward to the new economic development model promoting low energy consumption, low emission, and low pollution. Environmental issues are typical manifestations of market mechanism failure. Government investment in environmental protection, which effectively improves environmental quality, is necessary to achieve sustainable economic development. An index system of the influencing factors that affect regional environmental pollutant emissions was established first in this study to measure accurately the relationship between environmental protection investment in different provinces in China and regional environmental pollution. System GMM (Generalized Method of Moment) method was used to analyze the impact of environmental protection investment on pollutant emissions in 30 provinces in China from 2007 to 2016. Results show that the system GMM method can effectively solve variable endogeneity. Environmental protection investment of explanatory variables has a significant negative effect on pollutant emissions. Among the control variables, per capita GDP (Gross Domestic Product), industrial structure, resident consumption level, and technology market turnover have a significant inhibitory effect on pollutant emissions. Among the control variables, investment in fixed assets and import and export trade is vital in promoting pollutant emission growth. Conclusions provide a reference for improving the governance level of environmental protection investment in China’s provinces, controlling environmental pollution and ecological damage, and realizing a green economic development method.

Spatiotemporal Evolution and Regional Differences in the Production-Living-Ecological Space of the Urban Agglomeration in the Middle Reaches of the Yangtze River

The urban agglomeration in the middle reaches of the Yangtze River, which is the second largest urban agglomeration in China, represents a typical land space range of ecological vulnerability in China. Large differences occur in economic development mode between resource- and non-resource-based cities in this basin area. Accurate identification of the evolution and regional differences in the production-living-ecological space (PLES) is very important in order to elucidate the development and utilization of land space in the region. At present, relevant research has largely focused on the classification and determination of PLES temporal and spatial patterns. Temporal and spatial pattern research has mainly considered a single scale of administrative division, whereas fewer studies have analyzed the temporal and spatial patterns and regional differences in the PLES in ecologically fragile natural watersheds. Therefore, based on PLES classification, the regional differences in the PLES between two types of cities in the basin are measured via the Theil index and exploratory spatial data analysis (ESDA). First, the ecological space (ES) of these two types of cities in the urban agglomeration in the middle reaches of the Yangtze River is compressed by the production space (PS) and living space (LS), in which the ES of resource-based cities is compressed for a longer period, and the phenomenon involving PS compression by the LS and ES mainly occurs in non-resource-based cities within the urban agglomeration in the middle reaches of the Yangtze River. Second, the PLES of these two types of cities exhibits the characteristics of spatial aggregation, and high- and low-density areas of the PLES remain relatively stable. Third, the regional differences in the PLES of the urban agglomeration in the middle reaches of the Yangtze River mainly originate from intraregional differences. The PLES of these two types of cities in the urban agglomeration in the middle reaches of the Yangtze River is more sensitive to changes in economic development than to those in the population distribution.

Retraction Note: Characteristics of air pollution and environmental economic efficiency in Beijing-Tianjin-Hebei and surrounding areas

In my country’s urban development system, the urban development of the Beijing-Tianjin-Hebei region has driven the overall economic development of our country, but the environmental problems in these areas have gradually become the main concern of people. In the course of development in recent years, the rapid development of our country’s economy has provided effective help for our country’s comprehensive national strength and also brought considerable income to our residents. However, our country’s current economic development model still maintains extensive development. Mode, this economic development mode easily leads to rapid consumption of resources, severe damage to the ecological environment, and adverse effects on regional development. During the development of the Beijing-Tianjin-Hebei region, the early industrial development and engineering construction led to a gradual decline in the quality of urban air and drinking water. The air and tap water that people breathe every day are polluted by substances produced by industrial development. In the future development process, people must pay attention to the environmental development of the Beijing-Tianjin-Hebei region. This article borrows the stepwise regression analysis method to collect environmental development data in the Beijing-Tianjin-Hebei region and uses the data to construct a statistical forecast model. Through specific analysis, it is proved that the model constructed by the study has a good prediction of the pollutant content in the city. The effect can provide good help for environmental protection and pollution prevention in the Beijing-Tianjin-Hebei region.

Research on the Construction of Innovation and Entrepreneurship Education Ecosystem in Colleges Guided by Fostering Virtue in Education

Focused on the construction of innovation and entrepreneurship education ecosystem guided by “Fostering Virtue in Education,” colleges are grounding efforts in the new development stage, applying the new development philosophy, and creating a new framework of development. Under China's new era, fostering character and civic virtue is the due meaning of innovation and entrepreneurship education in higher education. Adoption of this strategic approach accelerates the transformation of economic development mode, and build an innovative country. It is also an education strategy which can improve the quality of talent training and innovation & entrepreneurship education. An important way to promote the all-round development of university students is to implement the core measures of increased employment by entrepreneurship and the full employment of graduates, which is related to the fundamental issue of “who to cultivate, how to cultivate and for whom to cultivate.” In the new era, innovation and entrepreneurship education in colleges and universities should be based on the local conditions, respond to the needs of the times, connect with the national development strategy, grasp the correct development direction, become an important force to promote the national economic development and social harmony and progress, cultivate the new force of “mass entrepreneurship and innovation” in line with the requirements of the times and the country, and realize the transformation of university functions and missions. To carry out the fundamental task of talent cultivation in universities.

Retraction Note to: Monitoring and early warning of loess landslide based on distributed environment and effectiveness calculation of physical training

Loess landslide has become a major geological hazard due to its high distribution, high occurrence frequency, and high loss. More than 1800 landslides occur every year in China, causing an average of more than 400 deaths every year, and the direct economic loss is as high as 4.6 billion yuan. This is a serious threat to the lives and property safety of the people in the disaster area, and caused huge losses to the country. China’s “one belt, one road” like a cooperative project has been like a raging fire in recent years, and the new mode of economic development and regional cooperation has been opened. However, one belt, one road, is seriously threatened by landslides. From 1900 to 2015 one belt, one road, along the more than 330 landslides, caused more than 20 thousand deaths. Therefore, this document collects the basic x-di loess data, uses ArcGIS software and distributed environment network, analyzes the spatial and temporal distribution characteristics of landslides, obtains the factors affecting landslides, and develops the loess landslide monitoring and early warning system. Then this paper studies the sports training, as an important part of college physical education curriculum, should carry out the corresponding reform to play a positive role and effectiveness of sports training. Some colleges and universities lack the scientific management of sports teams in the process of sports training. The overall quality and teaching ability of teachers are not high. We must cultivate students’ interest and further strengthen the reform of sports teaching. It is necessary to strengthen the psychological training of teachers and students, improve the training methods and standard training, in order to improve the effect of sports training. In this paper, through the study of loess landslide geological disasters, the monitoring, and early warning system is developed, which is applied to sports training to make sports training more effective.

Environmental impact of infrastructure-led Chinese outward FDI, tourism development and technology innovation: a regional country analysis

Investment and construction of energy and transport-related infrastructure are closely linked to the achievement of sustainable development goals. China’s infrastructure-led foreign investment, technical integration, and tourism with Belt and Road Initiative (BRI) countries have maintained exponential growth. This growth certainly has an impact on economic development mode and environmental sustainability. Therefore, this study examines the impact of infrastructure-led Chinese outward foreign direct investment, tourism development, and technology innovation on carbon emissions across the selected BRI node countries and respective regions. This study employs cross-sectional autoregressive distributive lag model to deal with parameters and cross-sectional heterogeneity. The results exhibit that foreign direct investment and technology innovation reduces carbon emissions in the long run, while tourism development and its interaction with foreign direct investment led to higher emissions in the overall BRI sample. In contrast, the regional estimates show significant variations in the magnitude and direction of the relationship, where foreign direct investment produces an emissions-increasing effect in South Asian and MENA countries. Moreover, the results support the validity of the Environmental Kuznets Curve hypothesis in overall and regional samples. These results are also endorsed by common correlated effects means group estimator and imply relevant policies.

RESEARCH ON CONFIRMATION AND MEASUREMENT OF CORPORATE ENVIRONMENTAL COSTS-BASED ON GREEN ECONOMY

Green economy can effectively solve the issue of environmental damage happened during economic development. Meanwhile, many countries have taken the development of green economy as an economic development mode, in which the protection of ecological and environmental, and the development of economic and social could be simultaneously realized. Since the deteriorating environmental situation has seriously affected the healthy development of human society, the environmental cost management should be incorporated into the enterprise cost management research as soon as possible. This paper mainly studies the theory of natural resources and environmental system in the enterprise cost management theory, discusses the enterprise environmental cost management, confirmation and measurement under low carbon economy, provides new ideas for improving the enterprise environmental cost theory and realizing the sustainable development of economy.

Global Value Chain Specialization，New Development Paradigm and New Transformation of Foreign Economic Development Mode

Global Value Chain Specialization，New Development Paradigm and New Transformation of Foreign Economic Development Mode

Research on the Quality and Promotion Path of Master Degree Thesis

The quality of dissertations is the basic core of the development of professional degree postgraduate education. With the transformation of economic development mode and the steady progress of the construction of an innovative country, the demand for professional degree postgraduates in economic and social development has increased significantly. The result is that the number of significant growth and the quality is difficult to guarantee. The most prominent is that the quality of professional degree postgraduates represented by dissertations has declined to varying degrees. Through on-the-spot investigation, this paper concludes that there are four prominent problems in the quality of professional degree master 's degree thesis : the topic is not suitable, the research is not deep enough, the content is not innovative and the writing is not standardized. Therefore, it is possible to achieve the goal of improving the quality of professional degree master ' s degree papers only by strictly controlling the topic selection, adhering to the problem research orientation and implementing the basic attributes of innovation.

RETRACTED ARTICLE: Monitoring and early warning of loess landslide based on distributed environment and effectiveness calculation of physical training

Loess landslide has become a major geological hazard due to its high distribution, high occurrence frequency, and high loss. More than 1800 landslides occur every year in China, causing an average of more than 400 deaths every year, and the direct economic loss is as high as 4.6 billion yuan. This is a serious threat to the lives and property safety of the people in the disaster area, and caused huge losses to the country. China’s “one belt, one road” like a cooperative project has been like a raging fire in recent years, and the new mode of economic development and regional cooperation has been opened. However, one belt, one road, is seriously threatened by landslides. From 1900 to 2015 one belt, one road, along the more than 330 landslides, caused more than 20 thousand deaths. Therefore, this document collects the basic x-di loess data, uses ArcGIS software and distributed environment network, analyzes the spatial and temporal distribution characteristics of landslides, obtains the factors affecting landslides, and develops the loess landslide monitoring and early warning system. Then this paper studies the sports training, as an important part of college physical education curriculum, should carry out the corresponding reform to play a positive role and effectiveness of sports training. Some colleges and universities lack the scientific management of sports teams in the process of sports training. The overall quality and teaching ability of teachers are not high. We must cultivate students’ interest and further strengthen the reform of sports teaching. It is necessary to strengthen the psychological training of teachers and students, improve the training methods and standard training, in order to improve the effect of sports training. In this paper, through the study of loess landslide geological disasters, the monitoring, and early warning system is developed, which is applied to sports training to make sports training more effective.

Practice and Thinking of Traditional Chinese Medicine Agriculture Helping Rural Revitalization

China is a big agricultural country with a long history, and has created a brilliant agricultural civilization. Agriculture has always been an important foundation of China's national economy and has made great achievements. At present, promoting sustainable agricultural development has become an important part of the strategic adjustment of China's economic development mode, and it is of great significance to explore and strive to blaze a path of sustainable agricultural development with Chinese characteristics.

Identifying the impacts of natural and human factors on ecosystem service in the Yangtze and Yellow River Basins

The Yangtze River Basin (YZRB) and Yellow River Basin (YRB) are important ecological regions in China. In recent decades, intense climate change and human activities have altered the natural landscapes of both basins and degraded their ecosystem functions. This study focused on clarifying the major factors influencing the ecosystem services (ESs) in different regions of China, which will be key to manage ecosystems sustainably. Five ESs, including water yield, carbon storage, soil conservation, water purification and habitat quality were selected for mapping. The geographical detector model was used to analyze the independent and joint effects of driving factors, and the spatial changes in driving factors were expressed using geographically weighted regression model. Results showed that (1) all five ESs decreased from southeast to northwest in the YRB but had an irregular distribution in the YZRB. (2) Precipitation and woodland proportion were dominant factors for total ecosystem services in both basins, followed by temperature, slope, and human activity intensity in the YRB, and temperature, human activity intensity, and population density in the YZRB. The combined effects of the driving factors were much higher than the individual effects in both basins (3) Natural factors (e.g., precipitation, slope, and woodland proportion). exerted positive effects in most areas of both basins. Human factors (e.g., GDP, human activity intensity, and built-up land proportion) had negative effects, with an uneven spatial distribution. Overall, natural factors promoted the formation and spatial distribution of ESs, and their direct impacts on total ecosystem services were insignificant in the short term. The impact of land-use changes played a leading role in joint impacts. In the YRB, the increase of woodland had a positive effect on ESs; the continuous growth of build-up land led to the degradation of ESs in the YZRB. Accordingly, adhering to the program of Grain for Green and changing the mode of economic development are crucial for future development. A comparative analysis of the driving factors of ESs in different regions provides a scientific basis for understanding and optimizing management policies.

Local Industrial Policies and Industry Innovation and Development：Empirical Evidence from the New Energy Automobile Industry Policy Text

As an important starting point for promoting green transformation and development, the new energy automobile industry is essential to accelerate the transformation of economic development mode. In this regard, General Secretary Xi Jinping emphasized that “we must increase research and development, carefully study the market, and make good use of policies” during his inspection tour in Shanghai. However, how to “make good use of policies” is an urgent and important problem facing policy-makers and scholars. To this end, based on the information on the official websites of the People’s Government, Department of Finance, Development and Reform Commission, Economic（Industry）and Information Technology Commission of various provinces, municipalities, and autonomous regions, this article uses keywords such as “new energy vehicles”“electric vehicles” and “automotives” to screen the policy text, and finally obtains 2289 new energy automobile industry policy text data at 31 provinces, municipalities, and autonomous regions in China, to match the obtained data with the Chinese patent database. Furthermore, according to the semantics of the policy text, this article divides relevant industrial policies into three categories: demand-based policies, supply-based policies, and environment-based policies. On the basis of constructing regional policy effectiveness indicators, demand-based policy effectiveness indicators, supply-based policy effectiveness indicators, and environment-based policy effectiveness indicators, we empirically test the impact of local industrial policies on the innovation and development of the new energy automobile industry. The results of this paper show that:（1）New energy automobile industry policies can effectively stimulate the innovation and development of the industry. After considering issues such as endogeneity, adjustment policy sample time, policy division criteria, traditional automobile industry development, and regional industrial policy competition, the corresponding research conclusions are still valid.（2）Compared with supply-based and demand-based policy tools, environment-based policies are more conducive to promoting the development of the new energy automobile industry.（3）Mechanism analysis shows that, compared with government subsidies and tax incentives, local industrial policies mainly promote industry innovation by strengthening market competition and reducing corporate financing constraints, thereby boosting the development of the new energy automobile industry. This article not only enriches the relevant research on China’s industrial policies and affirms the importance of local governments’ guiding behavior for industrial development, but also provides empirical evidence for the formulation and implementation of local industrial policies, and the research conclusions respond to a certain extent to the guiding theory of “giving provincial governments and below more autonomy” pointed out in the Report of the 19th National Congress of the Communist Party of China.

Study on the influence of urban construction land expansion on carbon emission based on VAR Model - a case study of Nanchang City

In the context of promoting high-quality economic development, it is of great significance to study the relationship between the expansion of urban construction land and carbon emission for the transformation of economic development mode and the implementation of green and low-carbon development. Based on the time series data of Nanchang City from 1995 to 2017, this paper analyzes the relationship between urban construction land expansion and carbon emission by constructing carbon emission measurement model, VAR model, using co integration test, Granger causality test, pulse analysis and other research methods. The results show that there is a co integration relationship between urban construction land expansion and carbon emissions, and Granger causality test shows that urban construction land expansion is the Granger cause of carbon emissions, while impulse response analysis confirms that the impact of urban construction land expansion on carbon emissions at the early stage is not significant, and the subsequent impact increases gradually, and the impact on carbon emissions will reach a stable state when urbanization is mature And put forward policy suggestions.

Research on the Construction and Evaluation of Green Industry System Based on Data Mining

By establishing a regional green innovation system, realizing the integrated development of industries across administrative divisions, and developing emerging industries, continuation industries, and resource reuse industries are effective ways to realize the transformation of economic development mode. In the process of shifting from the industrial economy of the industrial society to the industrial economy of the information society, green industry informatization is an inevitable requirement for realizing industrial restructuring and industrial upgrading, improving the core competitiveness of green enterprises, and a necessary condition for realizing regional national economic informatization. Data mining technology can discover and extract hidden, novel, meaningful and understandable information and patterns from a large amount of data, and realize the transformation from simple data to information to knowledge. According to the general requirements of data mining technology and the characteristics of the green industry field, this research constructed a system framework for green industry data mining, discussed key issues such as data preparation and data selection in data mining of green industry. Meanwhile, using data mining software SAS and Malmquist index as implementation tools, the basic theories and methods of green industry data mining were applied to the innovation evaluation of my country’s green industry. The results showed that data mining technology had its unique advantages in dealing with the massive data of the green industry. It can not only quickly realize the diversified statistical analysis of the massive data in the green industry, but also display it to users with rich graphics, which is conducive to the interpretation and understanding of the analysis results.

Foreign Direct Investment Spillover Effect on China’s Sustainable Development

Abstract The unbalanced growth of FDI in China has seriously affected the coordinated development of China’s regional economies. Therefore, to achieve comprehensive, coordinated and sustainable development, China’s main strategic task is determining how to adopt positive and effective FDI policies to reduce this regional imbalance in FDI. The purpose of this paper is to explore and study the spillover effects of foreign direct investment (FDI) on China’s sustainable development. In this paper, based on the new political economics theory and overflow effects, comparative research and statistical research methods are adopted that combine static and dynamic analysis. Empirical research methods are combined with normative research to analyse the spillover effects of FDI on China’s sustainable development, particularly under the new situation of global crisis and the accompanying difficulties, to determine how to promote China’s FDI and the development of China’s sustainable progress strategy. The study found that in 2018, FDI in China reached a value of 13.466 billion US $, and the year-on-year growth in FDI in recent years has been basically stable at approximately 4 %. Asia is the main source of FDI in China. In 2018, the amount of FDI in Asia reached $109.1938.7 billion, accounting for 83.33 % of the total investment. Hong Kong, with its unique advantages, accounted for 72.12 % of FDI in China. FDI inflows are mainly directed to primary industry and the service sector, and the growth rate of foreign investment in 2016 in these sectors was 68.52 and 170.77 %, respectively, compared with 2007. FDI also mainly flows to the eastern region of China. By the end of 2018, the amount of foreign capital utilized in the eastern region reached $1,622.9 billion, representing 85.4 % of the aggregate FDI in China. The effect of FDI on China mainly focuses on three areas: economic growth, social development and environmental protection. FDI has brought positive spillover effects to China’s sustainable evolution, but with China’s continuous development, especially the change in its economic development mode, it has been consistently exposed to negative spillover effects.

Fuzzy cognitive map based vulnerability analysis of agricultural products cold chain logistics: a perspective of carbon footprint

As an important part of the development of a low-carbon economy, developing low-carbon logistics is an important measure to implement transform the economic development mode and cope with global warming. In order to effectively realize the low-carbon operation of agricultural cold chain logistics, a fuzzy cognitive map is employed to analyze the vulnerability of agricultural cold chain logistics on the perspective of carbon footprint. With the analysis above, the influencing factors of carbon emissions in cold chain logistics operations can be identified. Therefore, the carbon reduction strategy of the cold chain logistics of agricultural products can be obtained. Our findings can be as decision-making reference for relevant departments and enterprises to better formulate cold chain low carbon emission strategies and promote green logistics to achieve high-quality development.

Dynamic Relationships, Regional Differences, and Driving Mechanisms between Economic Development and Carbon Emissions from the Farming Industry: Empirical Evidence from Rural China

The coordinated development of the economy, resources, and environment is a key aspect of sustainable development. China’s rapid agricultural modernization has been accompanied by the continuous growth of rural economic aggregate and carbon emissions from the planting industry. However, the quantitative relationship between these two factors and its internal mechanism are not yet fully understood. In this paper, the Intergovernmental Panel on Climate Change (IPCC) method is used to calculate the carbon emissions of the planting industry in China from 1998–2019. Based on this, the Tapio decoupling analysis model was constructed to study the decoupling relationship between economic development and carbon emissions of the planting industry in China from 1998–2019 and the associated spatial and temporal evolution patterns. The effect of the complete decomposition model (without residuals), in terms of carbon emissions from the planting industry, on the process of economic development and its transmission mechanism are introduced. The results show that: (1) The carbon emissions of the planting industry in China increased with the economic development occurring from 1998–2005, where agricultural economic development was highly dependent on resource factors and the environment. The growth trend of carbon emissions of the planting industry slowed from 2006 to 2019, while economic development has gradually realized the decoupling of carbon emissions from the planting industry. (2) From 1998–2019, in Heilongjiang, Sichuan, and Hunan, the economic development was given priority, showing strong and negative decoupling with carbon emissions from farming. The economic development in most regions were given priority, showing strong decoupling with carbon emissions from farming. Up to 2019, decoupling was observed with a significant trend of spatial agglomeration. (3) Economic scale effects had a positive influence on the carbon emissions of the planting industry, while the technology effect and population effect had an inhibiting influence on the carbon emissions of the planting industry. The key policy implication of this paper is that improvement of the quality of economic development serves as the premise for the transformation of the economic development mode. It is necessary to reasonably regulate the economic growth rate and expansion scale, reduce resource consumption and pollutant emission technology, and to make full use of resources, in order to provide a basis for the formulation of reasonable emission reduction policies. An effective way to realize the sustainable development of the agricultural economy would be to improve the technical efficiency, control the population scale appropriately, and optimize the agricultural industrial structure.