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Article
Publication date: 28 October 2013

Xinhuan Huang and Wenping Wang

This paper aims to construct evaluation index system of industrial economy-ecology-coordinated development based on “driving-force-pressure-state-impact-response”…

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Abstract

Purpose

This paper aims to construct evaluation index system of industrial economy-ecology-coordinated development based on “driving-force-pressure-state-impact-response” conceptual model. Grey target theory is introduced to evaluate industrial economy-ecology-coordinated development level and identify its key influencing factors. On that basis, the countermeasures are proposed to improve industrial economy-ecology-coordinated development in China.

Design/methodology/approach

Bull's-eye degree of grey target theory is introduced to evaluate industrial economy-ecology-coordinated development level of 31 provinces, municipalities and autonomous regions in China. The contribution degree of influence factors is analyzed by contribution degree theory.

Findings

The results show that first, the overall level of industrial economy-ecology-coordinated development in China is not high, there is a big gap of coordinated development level between provinces, municipalities and autonomous region, and there is still a large room to improve the status quo. Second, the major factors affecting industrial economy-ecology-coordinated development are gross industrial output value (GIOV) share of investment completed in the treatment of industrial pollution, common industrial solid wastes produced per GIOV, sulphur dioxide emission per GIOV, energy consumption per 10,000 yuan of gross regional product.

Originality/value

This paper constructs evaluation index system of industrial economy-ecology-coordinated development and applies grey target theory to evaluate industrial economy-ecology-coordinated development level and identify its key influencing factors.

Details

Grey Systems: Theory and Application, vol. 3 no. 3
Type: Research Article
ISSN: 2043-9377

Keywords

Open Access
Article
Publication date: 17 November 2022

Yudong Qi and Xi Chu

Currently, China’s economy is in the critical phase of transforming economic development patterns and replacing old growth drivers with new ones. Whether it can…

Abstract

Purpose

Currently, China’s economy is in the critical phase of transforming economic development patterns and replacing old growth drivers with new ones. Whether it can successfully overcome the “middle-income trap” has become a significant issue attracting wide attention.

Design/methodology/approach

Driven by underlying digital technologies such as artificial intelligence, blockchain, cloud computing and big data, the fourth industrial revolution featuring the booming digital economy has provided significant opportunities for China’s economy to “overtake” and overcome the “middle-income trap”. The transformation of economic development pattern, the optimization of industrial structure, and the change of growth drivers, brought by the deep integration of digital and real economies are the keys to leaping over the “middle-income trap”.

Findings

From the supply side, the digital economy can improve the quality and efficiency of the supply side and promote the supply-side structural reform and economic growth from the following three aspects: First, promote the quality, efficiency and diversification of the supply system; second, promote networking, opening-up and synergy in the innovation system and third, promote the socialization, modularization and flexibility of production pattern. From the demand side, the digital economy can boost the new drivers of the “troika” of economic growth consisting of consumption, exports and investment by changing the market investment direction, promoting consumption upgrade and fostering export strengths. However, once these two attributes interact with each other, especially when data is combined with capital, the most adhesive factor in the market economy, a series of new social relations will then be produced based on the technical attribute, resulting in significant adjustments in social relations, involving both positive and negative externalities.

Originality/value

To overcome the “middle-income trap”, it is necessary to adapt to the laws of economic evolution and promote a fundamental change in economic growth drivers; boost the high-quality development of the digital economy by strengthening the support role of data in the digital economy; and accelerate digital industrialization and industrial digitalization to realize the integration of digital and real economies.

Details

China Political Economy, vol. 5 no. 1
Type: Research Article
ISSN: 2516-1652

Keywords

Book part
Publication date: 29 July 2019

Bruno S. Sergi, Elena G. Popkova, Anastasia A. Sozinova and Olga V. Fetisova

This chapter models industrial, tech, and financial cooperation between Russia and the countries of the Asia-Pacific region. We use several complex methods of economic and…

Abstract

This chapter models industrial, tech, and financial cooperation between Russia and the countries of the Asia-Pacific region. We use several complex methods of economic and mathematical modeling to analyze specific features of such cooperation and determine critical factors in industrial, technological, and financial development. The preferable choice for the Asia-Pacific region is cooperation with Russia, which is ready for an increase in imports of industrial and high-tech products as well as joint industrial innovational entrepreneurship. Investments would lead to synergetic effects, ensuring simultaneous industrial, technological, and financial development.

Details

Tech, Smart Cities, and Regional Development in Contemporary Russia
Type: Book
ISBN: 978-1-78973-881-0

Keywords

Article
Publication date: 14 July 2022

Bin Xi and Pengyue Zhai

The purpose of this study is to explore the impact of environmental pollution and industrial structure upgrading on environmental pollution in different stages based on…

Abstract

Purpose

The purpose of this study is to explore the impact of environmental pollution and industrial structure upgrading on environmental pollution in different stages based on the temporal and spatial heterogeneity of economic development level and industrial structure upgrading level in eastern, central and western regions of China and discuss whether there is adjustment effect and threshold effect in the process of economic growth affecting environmental pollution, and finally realizes sustainable economic development.

Design/methodology/approach

Based on panel data from 30 provincial-level administrative regions of China (excluding Tibet and Hong Kong, Macao and Taiwan) from 2000 to 2019, this paper uses the environmental Kuznets curve, regulating effect model and panel threshold model to analyze the impact of economic growth and industrial structure upgrading on environmental pollution.

Findings

The results present that the uneven distribution of natural resources leads to different levels of economic development and industrial structure upgrading in eastern and western regions, and its impact on environmental pollution is also different. Economic growth and industrial structure upgrading have a positive effect on environmental pollution, and the relationship between economic growth and environmental pollution is inverted U-shaped. At present, the eastern, central and western regions of China are at the right end of the inverted U-shaped relationship. In general, industrial structure upgrading in eastern, central and western regions has a significant inhibitory effect on environmental pollution. Industrial structure upgrading has a negative moderating effect on the relationship between economic growth and environmental pollution, and the regulating effect is most significant in the central region, followed by the eastern region, and not significant in the western region. The results of panel threshold model show that the industrial structure upgrading can slow down the positive impact of economic growth on environmental pollution and strengthen the negative moderating effect of industrial structure upgrading on economic growth and environmental pollution.

Originality/value

The innovation of this study is to bring economic growth, industrial structure upgrading and environmental pollution into a unified analytical framework, analyze the impact of economic development and industrial structure upgrading levels in different periods on environmental pollution, and select industrial structure upgrading as the moderating variable and threshold variable. It provides a thought for the influence mechanism of different levels of industrial structure upgrading on economic growth and environmental pollution. Based on the panel data in China, this study emphasizes the concept of sustainable development, adheres to green development and proposes relevant policies to improve environmental pollution. And this paper proposes relevant policies to improve environmental pollution from the perspective of transforming economic growth mode and optimizing industrial structure in China, which also has reference significance for developing countries to realize sustainable economic development.

Details

Kybernetes, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0368-492X

Keywords

Article
Publication date: 13 April 2015

Qiaoling He

Why is the “education to industrial innovation” equation not working in China? Why has education development contributed to South Korea’s success but not promoted…

Abstract

Purpose

Why is the “education to industrial innovation” equation not working in China? Why has education development contributed to South Korea’s success but not promoted technology development and industrial upgrading in China? The purpose of this paper is to compare South Korea and China and try to address that puzzle. The author will also identify which mediating factors are crucial in linking education development to industrial innovation and industrial upgrading.

Design/methodology/approach

This study will use the historical comparative method to compare South Korea and China. The author will try to explore the differences in education and industrial upgrading in the two countries, and identify which factors are producing different educational development effects, mainly by narrative comparison. Data will mainly come from online databases such as Statistics Korea, the Center on International Education Benchmarking, the UNESCO Institute for Statistics, China Education Statistics and the World Bank, as well as from second-hand resources.

Findings

In summary, this research has revealed that education itself or the production of human capital may not be sufficient conditions for technology innovation or industry upgrading. For human capital to affect industrial upgrading positively, it is not enough for the Chinese government just to invest in education. Other intermediating market and social contexts are crucial too, especially the allocation of resources between the private and the public sectors, and the existence of a proper employment structure.

Originality/value

The role of education in economic development for the developing world is debated a lot. However, there is little development study research which directly explores the relationship between education and industrial upgrading via macroeconomic analysis. In a globalized world, the situation of international industrial value chains is an important element for sustainable long-term development. Industrial structures and their transformation are becoming more and more important for developing countries. While most past research has treated the absorbing economy’s structure as a condition that determines education’s contribution to development, this paper will treat the industrial structure as the dependent variable, and analyze how education would contribute to the upgrading of industrial structure and, in turn, be of benefit to sustainable economic development.

Details

Asian Education and Development Studies, vol. 4 no. 2
Type: Research Article
ISSN: 2046-3162

Keywords

Open Access
Article
Publication date: 14 October 2022

Boxu Yang, Xielin Liu and Wen Liu

The purpose of this paper is to reveal the paradox between diversification and specialization from a dynamic perspective. More precisely, this paper will analyze the…

Abstract

Purpose

The purpose of this paper is to reveal the paradox between diversification and specialization from a dynamic perspective. More precisely, this paper will analyze the impact of diversification and specialization as well as their interaction on regional innovation in different development stages.

Design/methodology/approach

Based on the principles of new economic geography and innovation geography, data from 30 provinces from 2001 to 2017 was used to explore the relationship. Least squares regressions with fix effect were used to examine the hypotheses.

Findings

The results show that both diversification and specialization have a significant and positive impact on regional innovation. The interaction of diversification and specialization also significantly and positively impacts regional innovation. The effect of industrial agglomeration is heterogeneity under different development stages.

Practical implications

This paper verifies the positive role of diversification and specialization and their interaction in promoting regional innovation. The impact of industrial agglomeration on innovation is dynamic and changes with the regional development process. Emerging economies should make appropriate industrial agglomeration strategies according to their development stages.

Originality/value

This paper introduces diversification, specialization and their interaction into the research framework at the same time to analyze their impact on innovation performance which deepened the research of industrial agglomeration. Taking China as an example, this paper also examines the impact of industrial agglomeration on regional innovation in different development stages that expands the dynamic perspective of industrial agglomeration.

Details

Asia Pacific Journal of Innovation and Entrepreneurship, vol. 16 no. 2
Type: Research Article
ISSN: 2071-1395

Keywords

Book part
Publication date: 24 August 2011

Tommy Tsung Ying Shih

Researchers continue to seek understanding of industrialization as a state managed process. How to create and implement new industries based on advanced knowledge is on…

Abstract

Researchers continue to seek understanding of industrialization as a state managed process. How to create and implement new industries based on advanced knowledge is on the policy agenda of many advanced nations. Measures that promote these developments include national capacity building in science and technology, the formation of technology transfer systems, and the establishment of industrial clusters. What these templates often overlook is an analysis of use. This chapter aims to increase the understanding of the processes that embed new solutions in structures from an industrial network perspective. The chapter describes an empirical study of high-technology industrialization in Taiwan that the researcher conducts to this end. The study shows that the Taiwanese industrial model is oversimplified and omits several important factors in the development of new industries. This study bases its findings on the notions that resource combination occurs in different time and space, the new always builds on existing resource structures, and the users are important as active participants in development processes.

Details

Interfirm Networks: Theory, Strategy, and Behavior
Type: Book
ISBN: 978-1-78052-024-7

Keywords

Abstract

Details

Reflections and Extensions on Key Papers of the First Twenty-Five Years of Advances
Type: Book
ISBN: 978-1-78756-435-0

Book part
Publication date: 6 November 2018

Yuri Simachev and Mikhail Kuzyk

The chapter is devoted to the analysis of industrial development in Russia since 2005. Characteristic features of the Russian industry are considered. It is shown that the…

Abstract

The chapter is devoted to the analysis of industrial development in Russia since 2005. Characteristic features of the Russian industry are considered. It is shown that the Russian industry is specific both by its structure and its high heterogeneity. The mining and quarrying sector and related manufacturing industries play a significant role in the Russian economy and major role in industrial production. In the foreseeable future, these sectors can strengthen their leading positions.

Considerable attention is paid to the analysis of the industrial policy of the Russian government, which has traditionally been one of the leading actors of industrial development. The main directions of industrial policy are singled out: compensation of negative changes, catching-up, and advance development. It is noted that the role of the government is ambivalent: on the one hand, it seeks to develop high-performing companies, including new and fast-growing ones, and on the other hand, it often supports large, low-performing enterprises. With the declared continuous emphasis of industrial policy on innovation and modernization, low innovativeness of Russian companies remains. Based on the analysis of modern conditions, as well as new objects and instruments of industrial policy, some prospects for future industrial development have been revealed.

Details

Exploring the Future of Russia’s Economy and Markets
Type: Book
ISBN: 978-1-78769-397-5

Keywords

Article
Publication date: 3 October 2019

Shuhong Wang, Lu Xing and Hanxue Chen

Recently, China has been paying increasing attention to how to improve the efficiency of the marine environment and realize a green and sustainable development of the…

Abstract

Purpose

Recently, China has been paying increasing attention to how to improve the efficiency of the marine environment and realize a green and sustainable development of the marine economy. Consequently, the industrial structure is crucial to improving efficiency. The purpose of this paper is to introduce environmental factors into the efficiency analysis framework and explore the relationship between marine industrial structure and marine environmental efficiency.

Design/methodology/approach

This paper uses marine economic data under the DEA-BBC model to measure the marine environmental efficiency of provinces and cities and classifies them by cluster analysis. Then, the marine industrial structure and marine environmental efficiency are studied by an econometric model with human capital, ownership structure, land economic development level, scientific research input and government intervention degree as control variables.

Findings

The overall level of marine environmental efficiency is relatively low in China, increasing and then decreasing over the research period. The rationalization of industrial structure and scientific research input have significant promoting effects on marine environmental efficiency, while the degree of government intervention has a significant inhibiting effect. The positive effect of human capital on efficiency depends on whether it can be successfully converted into productivity. The effects of industrial structure advancement, ownership structure and land economic development level of on the marine environmental efficiency are mixed.

Originality/value

The results provide a theoretical and decision-making basis for China to transform and upgrade its marine industrial structure and sustainably develop the marine economy.

Details

Management of Environmental Quality: An International Journal, vol. 31 no. 1
Type: Research Article
ISSN: 1477-7835

Keywords

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