Changes In Industrial Structure Research Articles

Comprehensive Evaluation of the Level of Water Ecological Civilization Construction in the Min River Basin, China

Water Ecological Civilization Construction (WECC) is critical for promoting long-term resource, economic, and social development. The Min River is the longest in Fujian Province, China, and is known as the “golden canal” for shipping. In this study, data from cities around the Min River were used to build an evaluation index system for WECC in the Min River, incorporating the Pressure–State–Response model, and the matter element extension model was used to examine the WECC level in the Min River Basin. The results indicate that notable progress has been made for WECC in the Min River Basin, despite evident regional variation. The upper parts of the Min River have seen the most development; however, the downstream regions have been mainly stable and retained a high WECC level. Changes in industrial structure and government actions substantially affect the degree of WECC. This study can act as a reference for river basin WECC.

Spatiotemporal Evolution and Optimization of Landscape Patterns Based on the Ecological Restoration of Territorial Space

The ecological restoration of territorial space emphasizes the synergy between ecology and social development. On this basis, we used landscape index analysis methods to explore the spatiotemporal evolution of landscape patterns in urban areas on a district scale. Then, we used multiple regression analysis to explore the driving factors behind this evolution. The results showed the following: (1) Landscape compositions have changed significantly. The growth rate of construction land in the main districts was about three times that in the urban area. (2) There were differences in the characteristics of landscape pattern evolution. Arable land is becoming more fragmented as construction land expands outward. The shapes of public green spaces, arable land, and woodlands tend to be simple and regular. The degree of both urban sprawl and agglomeration decreased in the urban area and the main districts. Meanwhile, landscape separation first decreased and then increased, and landscape diversity increased. (3) Population growth, industrial development, changes in industrial structure, and real estate development are the main driving factors of landscape pattern evolution. Based on this, this study puts forward some suggestions for landscape pattern optimization, which is significant for ecological restoration planning and promotion.

Study on the effect of industrial structure transformation on regional ecological efficiency in ecological economic zone under carbon peaking and carbon neutrality strategy

As the main strategy for the coordinated development of China’s ecological economy in the future, the carbon peaking and carbon neutrality strategy is an important response strategy to solve the two major problems of China’s urbanization process: the industrial structure is biased toward tradition and the economic development is biased toward high carbon. Under this development prospect, how to coordinate ecological development and economic development through the transformation of the industrial structure and form a unified development situation is an important issue for the development of the ecological economy. To solve this problem, the research starts with the theory of industrial structure change and ecological efficiency, puts forward two kinds of ecological efficiency assumptions, and establishes a mathematical model based on the C-D production function and cost function for the impact of industrial structure change on ecological efficiency. On this basis, a spatial model is formed, and empirical analysis is carried out for the important domestic ecological economic zone - the Yangtze River Economic Belt. The research results show that the industrial structure of the eco-economic zone will have a significant positive impact on ecological efficiency. At the same time, under the effect of inter-city cooperation, ecological efficiency has a significant spatial spillover effect. At the same time, the spatial lag factor and spatial error factor of urban agglomeration in the Yangtze River Delta are significant at the 10% and 5% levels, and the spatial lag factor and spatial error factor of urban agglomeration in the middle and long reaches are significant at the 5% level. It can be seen that the spatial dependence and linkage of ecological effects are strong, and there is a relatively significant interaction.

The impact of industrial structure on the environment pollution and its spatial-temporal differences in Henan, China

The industrial economy in Henan has developed rapidly, and Henan has transformed from an agricultural province into an industrial one. However, the previous rough development model led to a certain degree of imbalance in the industrial structure (IS), which had impact on environment pollution (EP). Based on the existing problems of industrial pollution in Henan, it is still necessary to explore whether the evolution of IS had impact on EP or not. Thus, firstly, the paper used the latest available data of the whole Henan, the prefecture-level cities and the different types of industries from 2008 to 2019 to measure the temporal and spatial evolution of IS using the IS rationalization index, the IS advanced index and the IS change index. Secondly, based on the three indicators of the IS evolution and the comprehensive index of EP, multiple linear regression models and mediation effect models were constructed to assess the impact of the IS evolution on EP. The results showed that the economic growth of industrial sectors presented the characteristics of the structure optimization. The improvement of the rationalization index and the advanced index of IS could reduce the pollution level significantly.

The effects of structural and technical change on China’s industrial CO2 emissions pathways under uncertainty

ABSTRACT The industrialization process in China has resulted in the fast growth of the country’s energy consumption and CO2 emissions. Examining the effects of industrial structural change on the emissions pathways in the mid-term future would help advance understanding of how industrial policy choices affect the fulfillment of the strategic climate targets of emissions peaking and carbon neutrality. This study couples index decomposition analysis (IDA) with an additive nonparametric regression model to project the possible emissions pathways with different industrial structures. It develops a set of scenarios following the storylines of shared socioeconomic pathways (SSPs) to examine these effects in an uncertain environment towards 2040. The results show that structural change has played an increasing role in curbing carbon emissions of China’s industrial sectors since 2000. The CO2 emissions reductions attributable to this effect were 686 million tons (Mton CO2) between 2000 and 2013, and these contributions to emission mitigation rose to 798 Mton between 2014 and 2019. The scenario results suggest that the aggregated effect of energy efficiency and structure upgrades will decrease emissions by 43% in 2040 relative to the level in 2019 in the ideal case. Regardless of the uncertainties in scenario settings, heavy industry will continue to dominate China’s industrial emissions through 2040. Nevertheless, a significant structural change with an increased share of high-tech industries, such as information and communication technology, could lead to more than a 30% reduction in emissions compared to cases with more minor changes in this sub-sector. Key Policy Insights A rapid expansion of heavy industry is the primary factor driving the rapid growth of China’s industrial CO2 emissions since 2000. Industrial structural change is the second most significant factor curbing emissions growth, and the influence of this factor is increasing. Keeping up the momentum of structural change and technological upgrades in the industrial sector would make it possible for industry emissions to decrease in the medium-term future, therefore contributing substantially to China’s goal of peaking its CO2 emissions by 2030. Realizing carbon neutrality in the longer term necessitates not only structural change in industry, but also a fundamental transformation of the energy supply system.

Tracking Key Industrial Sectors for CO2 Mitigation through the Driving Effects: An Attribution Analysis.

The heavy pressure to improve CO2 emission control in industry requires the identification of key sub-sectors and the clarification of how they mitigate CO2 emissions through various actions. Focusing on 30 Chinese provincial regions, this study quantifies the contribution of each industrial sector to regional CO2 mitigation by combining the logarithmic mean Divisia index with attribution analysis and extract the key sectors of CO2 mitigation for each region. Results indicate that during 2010-2019, significant emission reduction was achieved through energy intensity (74%) in Beijing, while emission reductions were attained through industrial structure changes for Anhui (50%), Henan (45%), and Chongqing (45%). The contribution to emission reduction through energy structures is not significant. The production and supply of power and heat (PSPH) is a central factor in CO2 mitigation through all three inhibitive factors. Petroleum processing and coking (PPC) generally contributes to emission reduction through energy structures, while the smelting and pressing of ferrous metals (SPMF) through changes in industrial structures and energy intensity. PSPH and SPMF, in most regions, have not achieved the emission peak. Except in the case of coal mining and dressing (CMD), CO2 emissions in other key sectors have almost been decoupled from industrial development. CMD effectively promotes CO2 mitigation in Anhui, Henan, and Hunan, with larger contribution of PPC in Tianjin, Xinjiang, Heilongjiang, and that of smelting and pressing of nonferrous metals in Yunnan and Guangxi. The findings help to better identify key sectors across regions that can mitigate CO2 emissions, while analyzing the critical emission characteristics of these sectors, which can provide references to formulating region- and sector-specific CO2 mitigation measures for regions at different levels of development.

Consumption Upgrading and Industrial Structural Change: A General Equilibrium Analysis and Empirical Test with Low-Carbon Green Transition Constraints

To clarify the relations between low-carbon green transition, consumption upgrading, and industrial structure change, this paper firstly builds a dynamic model of the three, then uses the PVAR Model and panel data of 30 Chinese provinces from 2008 to 2020 to carry out empirical study from the rationalization and upgrading dimensions of industrial structural change, respectively. The results are as follows: (1) Low-carbon green transition and consumption upgrading are Granger causes of each other. In this causal relationship, low-carbon green transition hinders consumption upgrading, but consumption upgrading significantly promotes low-carbon green transition. (2) Low-carbon green transition plays a facilitating and hindering role in industrial structure rationalization and upgrading, respectively. However, from the different dimensions of industrial structure change, only industrial structure upgrading has a significant reverse hindering effect on low-carbon green transition, and the reverse effect of industrial structure rationalization on low-carbon green transition is not significant. (3) Consumption upgrading has a hindering and promoting effect on the rationalization of industrial structure in the short- and long-run respectively, and a promoting and hindering effect on the industrial structure upgrading respectively; however, only industrial structure upgrading significantly promotes consumption upgrading in the opposite direction, while industrial structure rationalization has no significant effect on consumption upgrading. These findings propose some suggestions such as advocating the new way of green consumption, constructing and improving the green whole industry chain, and strengthening the synergy between imitative innovation and independent innovation.

The Steel Industry in Transition: Changing Influencing Factors and Trend Forecasts

With the implementation of the "double carbon" policy and the change in national industrial structure, China's steel industry is undergoing a difficult transition. In this paper, rolling iterative regression is used to investigate the main influencing factors of steel production and the changes in these factors in China during the transition; furthermore, a lagged model is used to forecast the trend of steel production. The results find that: firstly, gross construction output is the most important influencing factor for steel production; secondly, crude steel production, coke production, and social fixed investment were all once important influencing factors, but have shown insignificant effects in recent years; thirdly, the trend of steel production is expected to maintain steady growth.

Do the knowledge economy increase inequality? Reassessment of the impact of the Kuznets curve on income inequality in OECD

PurposeThis study aims to focus on the influence of industrial structure changes, which is the fundamental idea of the Kuznets hypothesis, especially the service–knowledge structural change, on income inequality.Design/methodology/approachThis analysis uses the interaction term is that industrial structure changes multiplied by period dummy, this study indicates the effect of industrial structure changes on inequality from the 1970s. Using this method, this study reveals the impact of transitions in industrial structure, from agriculture to knowledge, on inequality.FindingsEmpirical analysis reveals a Kuznets curve relationship between income inequality and the agriculture–manufacturing structural change before the 1970s. From the 1980s to the 2000s, “The Great U-Turn,” which refers to events that expanded economic inequalities again, is observed in the relationship between inequality and the manufacturing–service structural change. Moreover, the service–knowledge structural change effect on inequality after the 2010s, through the Kuznets curve relationship. Therefore, this study confirms the Kuznets hypothesis is not a thing of the past hypothesis.Originality/valueThis study shows why income inequality in organisation for economic co-operation and development (OECD) countries has continued to increase in these days. Specifically, this study focuses on the impact of industrial structure changes and long-term trends, which has not been fully discussed in recent studies. The authors perform empirical analysis based on the relationship between these changes and inequality in developed countries. In addition, by setting a period dummy variable every decade, this study visualizes the transition of industrial structure changes in OECD clearly.

Evaluation and driving factors of land use economic efficiency in China's urban agglomerations under the impact of COVID-19 epidemic.

Land is an indispensable factor of production and the basic support for all social and economic activities. The COVID-19 epidemic has a great impact on China's macro-economy and land market. As a unit with a high concentration of economic entities, urban agglomeration is closely related to its land use economic efficiency. Under the impact of epidemic and the rigid constraints of the relative scarcity of land resources, improving the land use economic efficiency is crucial to the sustainable development of urban agglomerations. Taking the 10 major urban agglomerations in China as a case study, this paper constructs a theoretical and empirical analysis framework for the land use economic efficiency and its driving mechanism of urban agglomerations, and measures the land use economic efficiency of urban agglomerations from the aspects of single factor productivity and total factor productivity. The results show that the COVID-19 epidemic has a great impact on the land market of various cities in China's urban agglomerations. Whether single factor productivity or total factor productivity is used to measure land use economic efficiency of urban agglomerations, the driving effects of industrial agglomeration, industrial structure change, technological progress, and transportation infrastructure are all significant. It is necessary to take a series of measures to reform the market-oriented allocation of land elements, and improve a long-term mechanism for the smooth operation of the land market. It is necessary to improve the land use economic efficiency through a combination of industrial agglomeration, industrial structure adjustment, technological progress, and transportation infrastructure.

Research Hotspots and Trend Analysis in the Field of Regional Economics and Carbon Emissions since the 21st Century: A Bibliometric Analysis

In recent years, the issue of regional economics and carbon emissions has become a research hotspot in the cross field of economy, environment and ecology. This paper selects the regional economics and carbon emissions related literature collected in the Web of Science (WOS) database as the basis, and uses the bibliometric software Citespace and VOSviewer to visually analyze the time distribution, organization, author and keywords in this research field. This paper provides a more systematic analysis of how different regions of China could achieve carbon emission objectives, from the aspects of regional industrial transformation, energy consumption structure, policy implementation and regional coordinated development. The keywords with high frequency are carbon emissions, economic growth and energy consumption, etc. The research hotspots can be divided into structural decomposition analysis, low-carbon industry transformation path, policy framework and energy efficiency, etc. The results show that future research should strengthen multidisciplinary cross-integration in different universities and institutions. However, based on in-depth analysis, the key factors which affect regional carbon emissions are regional policy implementation, changes in industrial structures, optimization of energy consumption structure and carbon trade market mechanism. Finally, we suggest that institutions and scholars should conduct adequate interdisciplinary and cross-industry cooperation; industrial sector development should consider local endowment; there should greater use of clean energy to optimize the energy consumption structure; and an increase in R&D carbon capture and sequestration technology.

The empirical analysis on the demand of salary factors for knowledge staffs of SMES

Small and medium-sized enterprises (SMES) in China, especially knowledge-based enterprise is one of the main forces for realizing knowledge innovation and changing industrial structure, and creation, utilization and appreciation of the knowledge ultimately depend on knowledge staffs which are the carrier of knowledge to achieve. In this paper, the traditional salary model of SMES is analyzed with empirical analysis method, the traditional salary model cannot meet the salary demands of knowledge staffs, we propose a salary system that matches the demand characteristics of knowledge staffs, and there is a positive discussion how to effectively motivate the knowledge staffs.

Human Resource Allocation in the State-Owned Forest Farm of China for the Changing Climate

Global climate change has become a hot topic in today’s international political, economic, environmental and diplomatic arenas. China has implemented a series of strategies, measures and actions to cope with climate change, which has promoted industrial transformation and human resource adjustment in China’s state-owned forest areas. However, little is known about the role of current human resource allocation in adaptation to climate change in the state-owned forest farm of China. To address these gaps, this study calculated the current situation of human resource structure and the contribution rate of three industries to the allocation of human resources and the evaluation model of coordinated fitness to the climate changes in key state-owned forest farms. The results show that: (1) The current situation of talent in key state-owned forest areas shows a shortage of total amount, a shortage of high-level and highly educated talents, and aging of talents. (2) The coefficient of structural deviation increased and the coefficient of structural-change synergy kept decreasing, indicating that the coordination between human resource allocation and industrial structure in key state-owned forest areas nowadays is only at the intermediate level of synergistic fitness. The paper highlights the trained-professional human resource and the industrial structure changes in the context of climate change as the main limited factors for the key state-owned forest farms of China. Increasing the education investment for climate change and the economic income for the employees are suggested to be promoted for policy makers in future.

Unemployment Problems and Countermeasures Caused by the Government's Air Pollution Control Policy: Taking Hebei Province as an Example

China has achieved tremendous economic development in the past 30 years. However, the extensive way of developing the economy has also caused a certain degree of environmental pollution, such as air pollution caused by coal burning, especially in the Beijing-Tianjin-Hebei region. To solve this problem, China has made a series of policies to tackle the severe air pollution in this region. Although those policies are effective, they have also led to some social problems. This phenomenon has caught the attention of researchers. This paper aims to study the consequences of environmental policies on the Beijing-Tianjin-Hebei region and how to alleviate the negative impact of those environmental policies. Through analyzing the data of industrial structure in the past eight years, it is found that the pillar industry of this region is the secondary industry. China's designated environmental policies have increased the cost of taxes, basic materials, energy conservation and emission reduction equipment for small and medium-sized enterprises in the second industry, resulting in the decline of profits and even bankruptcy of small and medium-sized enterprises and causing the recession of the second industry and economy recession. It has led directly to the decline of manufacturing, higher unemployment and increased competition between The Beijing-Tianjin-Hebei region. This paper tries to provide some countermeasures and suggestions to Hebei province's social and economic problems, such as rising unemployment and recession. Finally, it analyzes the latest national air governance policies and the changes in industrial structure brought about by sustainable energy in the future, trying to solve the problem of worker unemployment caused by air policies through the development of green industries.

The Impact of Industrial Structure Changes on Economic Growth in Jiangxi Province, China

China has transformed its industrial and economic structure since the start of the economic reform and the Open-door Policy. While modern cities are participating in this progress, less urbanized areas lagged behind these cities. This paper will attempt to explain this phenomenon by analyzing the impact of industrial structure optimization on economic growth by using a time series model from the data span of 1990 to 2018. This study shows that the modernization and rationalization of the industrial structure have a significant impact on economic growth, and the marginal effect of industrial modernization on economic growth is greater than the rationalization of the industrial structure. Furthermore, when the economic growth is slow, the low-level industrial structure can still maintain economic growth; but when the economic growth rate reaches a certain level, the low-level industrial structure will inhibit economic growth.

Does a Polycentric Spatial Structure Help to Reduce Industry Emissions?

City planners are increasingly drawn to ways of transforming urban spatial structure as an important strategy for reducing pollutant emissions. As its main contribution, this paper uses firm-level emissions data to quantify impact mechanisms related to factor flow, firm size, and division of labour. We examine the effects of spatial polycentricity on firm-level industrial emissions, using a pooled cross-sectional model, based on emissions data from individual firms in China. We show that, all else being equal, polycentric spatial structures help to reduce the emissions of industrial firms. This finding is not affected by index measures, changes in industrial structure, or city-sample selection. A mechanism analysis shows that polycentric structures not only enhance the emission-reduction effects of factor flow and firm size, but also reduce firm-level emissions by strengthening the urban division of labour. Our findings support the emission-reduction performance of polycentric spatial structures, promoting the integration of city planning and industrial policies that jointly contribute to reducing firm-level emissions and preventing and controlling air pollution.

Does Regional Development Policy Promote Industrial Structure Upgrading? Evidence from the Yangtze River Delta in China

The “Regional Development Plan of the Yangtze River Delta (YRD)”, or the “YRD Development Policy”, is a national policy of China aimed at promoting industrial structure upgrading and the high-quality development of the regional economy in the YRD. To test the implementation effect of this policy, this work applied the synthetic control method (SCM) to explore the impact of the YRD Development Policy on industrial structure upgrading in the YRD based on 15-year panel data of 30 provinces in mainland China. The results showed that, as a whole, the implementation of the YRD Development Policy has contributed to industrial structure upgrading in the YRD. The trend of industrial structure upgrading is more rapid in the original YRD than in the new YRD. From a local perspective, the YRD Development Policy has hindered the upgrading of the industrial structure in Anhui Province but promoted upgrading in the rest of the YRD. From a long-term perspective, the effectiveness of the YRD Development Policy is limited, presenting a clear N-shaped development trend. In terms of industrial structure changes, the impact of the YRD Development Policy on the three types of industries in the YRD shows obvious regional differences. Furthermore, economic development, urbanization, and technology innovation have a significant and positive impact on the industrial structure upgrading of the YRD. These findings have policy-making implications, enrich the research on the impact of the YRD Development Policy on industrial structure upgrading, and provide empirical reference for subsequent policy improvements.

Analysis on the development direction of circular economy theory in automobile industry market and economic and technical conditions

With regard to the analysis of China's automobile industry market and development direction, we should not only consider the pulling effect of domestic economic growth, changes in consumption structure and industrial structure on automobile demand, but also the international experience of the relationship between per capita income level and automobile ownership rate, and more importantly, we should reflect on the traditional economic development model and find a new development model that effectively balances the relationship among economy, society, environment and resources. It is an inevitable trend for the development of automobile industry to take the circular economy mode, and it is the general trend of implementing the sustainable development strategy. In this situation, all kinds of technical ways to deal with the problems of resources and environment have their advantages and cannot be replaced. However, the research on circular economy of automobile industry in China has just started, and the basic material flow table and data analysis model of automobile products have not been established. This paper analyzes the traditional development mode of automobile industry, discusses the economic development direction of automobile industry and the development mode of circular economy in automobile industry, so as to keep up with the general trend of China's sustainable development strategy.

Using a Grey Niche Model to Predict the Water Consumption in 31 Regions of China

Regional development brings significant changes in industrial structure and water consumption. Researching the trend in water consumption by changes in industrial structure can promote water conservation. The grey niche model describes the industrial changes in China and analyzes the water consumption of different leading industries. Using data from 2014 to 2019, and taking the economy as the influencing reason and the industrial niche as the weight, water consumption was predicted. The average percentage errors of the prediction results were all less than 0.1%. While improving the forecasting accuracy, the water consumption forecasting has been strengthened. The calculation results show that regional industry is undergoing transformation, and tertiary industry is rising in the national economy. The successful implementation of industrial water-saving measures has kept the water consumption of industrially developed cities stable but the rapid development of tertiary industries will increase water consumption. Incorporating changes in industrial structure into water use analysis allows the Chinese government to draft water conservation policies for various industries.

Transformation of regional industrial structure during technological evolution

Due to the fourth industrial revolution evolution, the regional economy faces the need for adapting to the new conditions related to the expanding Industry 4.0 processes. This issue requires studying and scientific understanding of the transformations in the regional industrial structure and building up a new technological core. To this end the author of the article considers and thoroughly describes the compound category of the regional industrial structure transformation in the context of the key theories and basic concepts of the regional economic development and the requirements of the technological revolution. Aspects of modern trends in the development of the theory and methodology of the regional economy are considered in detail, taking into account the stage of technological evolution and industrial transformations. The author used structural-logical and context analysis as the basis for actualization of defining the transformation of the regional industrial structure as the state of compliance of the trajectory of changes in the sectoral industrial structure of the region with naturally emerging elements of the new way of life.