The relationship between industrial structure and carbon intensity at different stages of economic development: an analysis based on a dynamic threshold panel model

By using non-parametric additive panel model, this paper empirically studied the impact of economic development to environmental pollution in China. Our research results are summarized as follows: The relationship between environmental pollutants and economic variables including the industrial structure, technological level and pollution control show mostly inverted U shapes or inverted N shapes.

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Investigate the Relationship between Urbanization and Industrialization using a Coordination Model: A Case Study of China

Sustainability ◽

10.3390/su12030916 ◽

2020 ◽

Vol 12 (3) ◽

pp. 916

Author(s):

Luo ◽

Xiang ◽

Wang

Keyword(s):

Economic Development ◽

Industrial Structure ◽

Value Engineering ◽

Unstable State ◽

Coordinated Development ◽

Coordination Model ◽

Dynamic Coordination ◽

Rural And Urban ◽

The Relationship ◽

Coordination Degree

The coordinated development of industrialization and urbanization has become a common goal and concern of developing countries. At the same time, measuring the relationship between them is becoming a research hotspot. With reference to value engineering, we constructed a dynamic coordination model to analyze the degree of coordination between urbanization and industrialization in China. During the study, three primary indicators were used to assess the level of industrialization in China, namely: economic development, industrial structure, industrial enterprise. We also use demographic urbanization rate to evaluate the level of urbanization. Subsequently, a dynamic coordination model was established using panel data of China collected from 1978 to 2017. Through the dynamic coordination degree model, the changes in the degree of coordination between urbanization and industrialization in China from 1978 to 2017 were analyzed, and the reasons for the fluctuation of coordination degree were further explored. The results show that: (1) The coordinated development of urbanization and industrialization can be divided into six phases, which is consistent with the major reforms in China's rural and urban; (2) The degree of coordination fluctuated more obviously during 1991–1995, which reflected the unstable state of China in the process of coordinated development of urbanization and industrialization; (3) Most of the time, industrialization is ahead of urbanization, while with rapid economic development, urbanization, and industrialization, are gradually synchronizing in China. The results are of great significance for promoting the coordinated development of urbanization and industrialization and realizing the sustainable development of the city.

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Can Industrial Co-Agglomeration between Producer Services and Manufacturing Reduce Carbon Intensity in China?

Sustainability ◽

10.3390/su11154024 ◽

2019 ◽

Vol 11 (15) ◽

pp. 4024 ◽

Cited By ~ 3

Author(s):

Tuochen Li ◽

Dongri Han ◽

Shaosong Feng ◽

Lei Liang

Keyword(s):

Climate Change ◽

Economic Development ◽

Emission Reduction ◽

Industrial Structure ◽

Service Industry ◽

Threshold Level ◽

Carbon Intensity ◽

Producer Services ◽

Wheel Drive ◽

The Impact

Climate change poses unprecedented challenges for humanity. Reducing carbon intensity is an inevitable choice for tackling climate change and promoting sustainable development. China has made some emission reduction commitments in the international community to promote the decoupling of China’s economic development from carbon emissions. The realization of the industrial structure from the “single-wheel drive” of the manufacturing to the “two-wheel drive” economic development model of the service industry and the manufacturing has become a key measure to achieve China’s economic intensive development. According to resource misallocation situation in different regions, this paper explored the impact of the collaborative agglomeration between producer services and manufacturing (hereinafter referred to as industrial co-agglomeration) on carbon intensity. The research results show that the carbon intensity is decreasing year by year, and the degree of intensification of China’s economic growth continues to increase. Moreover, the effect of industrial co-agglomeration to promote carbon emission reduction is significantly limited by the degree of misallocated resources, and there is a double threshold effect. Specifically, in areas where resource allocation is reasonable, industrial co-agglomeration can produce significant agglomeration effects and promote carbon intensity reduction. Once the degree of misallocated resources exceeds a threshold level, the agglomeration effect will turn into a crowding effect, resulting in an inability to reduce carbon intensity. We comprehensively analyzed the driving factors for reducing carbon intensity and proposed policy pathways for achieving China’s carbon intensity target.

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Finance and growth nexus: An international analysis across cities

Urban Studies ◽

10.1177/0042098019889244 ◽

2020 ◽

Vol 58 (1) ◽

pp. 223-242 ◽

Cited By ~ 2

Author(s):

Stefanos Ioannou ◽

Dariusz Wójcik

Keyword(s):

Economic Growth ◽

Economic Development ◽

Financial Development ◽

Metropolitan Areas ◽

Financial Systems ◽

Financial Centre ◽

National Economies ◽

The Relationship ◽

Stages Of Economic Development

We examine the relationship between finance and economic growth in the metropolitan areas of 75 countries at various stages of economic development in the period 2001–2015. Our analysis demonstrates an inverted-U shaped relationship between finance and growth. This relationship becomes even more significant in the areas of a country outside its largest financial centre, indicating that while these areas can benefit from financial development, they are also the most vulnerable. We show that large financial centres can have an impact on growth across their national economies, but in doing so they complement rather than replace local financial centres. Overall, our results highlight the risks associated with the excesses of financial development and lend evidence to support calls for more decentralised financial systems.

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Empirical Analysis Between Economic Growth and Energy Consumption Based on the Perspective of Industrial Structure

The Open Fuels & Energy Science Journal ◽

10.2174/1876973x01407010158 ◽

2014 ◽

Vol 7 (1) ◽

pp. 158-163

Author(s):

Shu Yehong ◽

He Yucheng

Keyword(s):

Economic Growth ◽

Economic Development ◽

Energy Consumption ◽

Energy Supply ◽

Industrial Structure ◽

Time Series Data ◽

Supply And Demand ◽

Hunan Province ◽

Series Data ◽

The Relationship

Energy is an important material basis for social and economic development. With the rapid economic development, energy is increasingly becoming an important issue of socio-economic development. As China's "two-oriented society" pilots Hunan Province, a major breakthrough occurred in the transformation of economic growth, adjusting the industrial structure and promoting energy conservation and environmental protection, but still faces shortage of energy supply and demand and supply imbalances, impacting on sustainable economic development. This paper introduces the economic growth based on the previous results and summarized the relationship between energy consumption and classification; also introduces the theory of economic growth, industrial structure and related econometric models providing a theoretical basis and methods of analysis for this study. Secondly, through the relevant data collected and selected first from second and third industry time series data of economic growth and energy consumption of the 1990-2013 year of Hunan Province, the paper established econometric model of industrial structure and the relationship between energy consumption and economic growth in the analysis of the results obtained: the secondary industry is the leading cause of long-term increase in energy consumption which in turn is the driving force of the tertiary industry development. Finally, the relevant suggestions are made for industrial restructuring and for ensuring security of energy supply perspective.

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Investigation on the Relationship between Satellite Air Quality Measurements and Industrial Production by Generalized Additive Modeling

Remote Sensing ◽

10.3390/rs13163137 ◽

2021 ◽

Vol 13 (16) ◽

pp. 3137

Author(s):

Chao Tong ◽

Chengxin Zhang ◽

Cheng Liu

Keyword(s):

Economic Development ◽

Air Quality ◽

Industrial Production ◽

Industrial Structure ◽

Local Economic Development ◽

Additive Model ◽

Atmospheric Pollutants ◽

Green Economy ◽

Air Quality Measurements ◽

The Relationship

The development of the green economy is universally recognized as a solution to natural resource shortages and environmental pollution. When exploring and developing a green economy, it is important to study the relationships between the environment and economic development. As opposed to descriptive and qualitative research without modeling or based on environmental Kuznets curves, quantitative relationships between environmental protection and economic development must be identified for exploration and practice. In this paper, we used the generalized additive model (GAM) regression method to identify relationships between atmospheric pollutants (e.g., NO2, SO2 and CO) from remote sensing and in situ measurements and their driving effectors, including meteorology and economic indicators. Three representative cities in the Anhui province, such as Hefei (technology-based industry), Tongling (resource-based industry) and Huangshan (tourism-based industry), were studied from 2016 to 2020. After eliminating the influence of meteorological factors, the relationship between air quality indexes and industrial production in the target cities was clearly observed. Taking Hefei, for example, when the normalized output of chemical products increases by one unit, the effect on atmospheric NO2 content increases by about 20%. When the normalized output of chemical product increases by one unit, the effect on atmospheric SO2 content increases by about 10%. When chemical and steel product outputs increase by one unit, the effect on atmospheric CO content increases by 25% and 20%, respectively. These results can help different cities predict local economic development trends varying by the changes in air quality and adjust local industrial structure.

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Environmental regulation, Industrial structure upgrading and Economic growth in Beijing Tianjin Hebei region

E3S Web of Conferences ◽

10.1051/e3sconf/202123502021 ◽

2021 ◽

Vol 235 ◽

pp. 02021

Author(s):

Menglu Li

Keyword(s):

Economic Growth ◽

Economic Development ◽

Panel Data ◽

Environmental Regulation ◽

Industrial Structure ◽

Fixed Effect Model ◽

Fixed Effect ◽

Effect Model ◽

The Relationship ◽

Industrial Structure Upgrading

This paper selects the panel data of 13 cities in Beijing Tianjin Hebei region from 2008 to 2016, and uses the fixed effect model to study the relationship between environmental regulation, industrial structure upgrading and economic growth in Beijing Tianjin Hebei region. The results show that: strengthening environmental regulation can promote the upgrading of industrial structure in Beijing Tianjin Hebei region by reducing the emission of pollutants; the upgrading of industrial structure is conducive to promoting the economic development of Beijing Tianjin Hebei region.

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Study on Development of Circular Economy in Resource-Based City

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.368-370.360 ◽

2013 ◽

Vol 368-370 ◽

pp. 360-363

Author(s):

Ru Li ◽

Xuan Gong

Keyword(s):

Economic Development ◽

Circular Economy ◽

Theoretical Basis ◽

Industrial Structure ◽

Cleaner Production ◽

Heavy Industry ◽

Industrial Layout ◽

The Relationship

In this study the relationship between cleaner production and circular economy was investigated, including discusses necessity and significance of developing circular economy as a whole and recommends feasible countermeasures for developing circular economy. Efficient theoretical basis for creating a sustainable developing road in resource-based city was established and the objective of this study is to develop a best way for implementing Cleaner Production in heavy industry city through analyzing industrial layout, industrial structure and economic development size in Fushun.

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The Relationship between Oil Consumption and Employment – Based on Data from Twenty Provinces

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.709.764 ◽

2013 ◽

Vol 709 ◽

pp. 764-769

Author(s):

Ling Di Zhao ◽

Qing Hao

Keyword(s):

Economic Development ◽

Granger Causality ◽

Industrial Structure ◽

Employment Growth ◽

Energy Resources ◽

Liaoning Province ◽

Jiangxi Province ◽

Oil Consumption ◽

Highly Correlated ◽

The Relationship

This paper discusses the relationship between oil consumption and employment growth in 20 provinces of China. In the study, we mainly use the methods of co-integration and Granger causality. The result indicateds that in different kinds of provinces, there are different kinds of Granger causality between oil consumption and employment. In some provinces, such as Shandong province, Liaoning province and Zhejiang province, there exists one-way Granger causality between the two variables; in Jiangxi province, there exists two-way Granger Causality; while in other provinces, there is no Granger Causality among them. The result is highly correlated with the industrial structure, the structure of economic development and the preferences of energy resources in certain cities.

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Research on the Relationship Between Economic and Environmental Problems in Inner Mongolia under Industrial Transfer: An Analysis Based on EKC

10.21203/rs.3.rs-206347/v1 ◽

2021 ◽

Author(s):

Xiaodong Pei ◽

Pengxu Yuan ◽

Chelimuge Bao ◽

Junbo Xue ◽

Ningning Sun

Keyword(s):

Economic Growth ◽

Economic Development ◽

Inner Mongolia ◽

Industrial Structure ◽

Time Series Data ◽

Environmental Problems ◽

Series Data ◽

Industrial Transfer ◽

Autonomous Region ◽

The Relationship

Abstract In order to promote the economic development of the autonomous region, Inner Mongolia actively undertakes the industrial transfer in the eastern developed areas. In the process of promoting the economic development of Inner Mongolia, industrial transfer has also brought some environmental problems. In order to explore the relationship between industrial transfer, economic growth and the environment of Inner Mongolia, this paper selects the time series data of Inner Mongolia Autonomous Region from 2001 to 2016, and conducts an empirical analysis by establishing an Environmental Kuznets Curve (EKC) model. The study found that industrial transfer has brought the economic growth and the upgrading of industrial structure to Inner Mongolia, but also brought about environmental problems. Therefore, this paper proposes that Inner Mongolia should increase investment in R&D, strengthen investment in environmental governance, and make full use of the advantages of geography, labor force and natural resources to achieve high-quality economic development and industrial structure optimization and upgrade.

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