Coordinated development of economic growth and ecological efficiency in Jiangsu, China

2020 ◽  
Vol 27 (29) ◽  
pp. 36664-36676
Author(s):  
Shijin Wang ◽  
Guihong Hua ◽  
Lizhu Yang
Author(s):  
Yaya Su ◽  
Zhenghui Li ◽  
Cunyi Yang

As a core component of the digital economy, digital financial technology has a complex interactive and interdependent relationship with ecological efficiency. From the holistic spatial interaction perspective, this paper uses spatial simultaneous equations and generalized spatial three-stage least squares (GS3SLS) to analyze the spatial interaction spillovers between digital financial technology and urban ecological efficiency based on data from 284 Cities in China from 2008 to 2018. The results show that: (1) Digital financial technology and urban ecological efficiency promote each other, and the latter is relatively dominant. (2) Both digital financial technology and urban ecological efficiency have significant spatial spillover effects. (3) Digital financial technology in surrounding cities has a restraining effect on local ecological efficiency, and the improvement of ecological efficiency in surrounding cities has a siphon effect on local digital financial technology. (4) There is spatial and period heterogeneity in the intensity of the spatial interaction spillover effect between the two. With resources and environment increasingly becoming rigid constraints on economic growth, these findings help identify new drivers of regional ecological efficiency and promote the coordinated development of digital finance and green ecology.


Water ◽  
2020 ◽  
Vol 12 (12) ◽  
pp. 3482
Author(s):  
Kun Wang ◽  
Lijun Zhang ◽  
Lulu Zhang ◽  
Shujuan Cheng

Coordinating the “green” and “gray” infrastructure construction and the socioeconomic development is essential to sponge city construction. Most previous research has investigated the structural and non-structural approach for urban water management, such as operational practice, engineered measures, technical solutions, or planning management. However, there is a shortage of strategic management approaches to identify pilot sponge cities, which is essential to cities in developing countries under huge financial pressures. Hence, this paper proposed a coupling coordination evaluation index system to assess the coordination degree between economic development and infrastructure construction in Henan Province in central China. Then, the paper analyzed the differences of the coordination level and its spatial statistical pattern of the coupled and coordinated development of sponge city construction in Henan Province. The results show that: (1) from the perspective of comprehensive level, the problems of inadequate and unbalanced development of infrastructure construction and economic development level are prominent; (2) from the perspective of coordinated development level, the level of coupling and coordination development in Henan Province increased during the sample period, but the level of coupling and coordination development in each region was small; (3) from the perspective of relative development, Zhengzhou City is lagging behind in infrastructure, indicating that economic growth is faster than infrastructure construction, and other regions are lagging economic development, indicating that infrastructure construction is faster than economic growth; and (4) from the spatial statistical analysis, there is spatial positive correlation, that is, the area with high coupling degree of infrastructure construction and economic development level tends to be significantly concentrated in space. Studies have shown that Henan Province should focus on strengthening the construction of “green” infrastructure and increasing the infiltration of the underlying surface to counter the precipitation in urban areas in extreme climates.


Water ◽  
2018 ◽  
Vol 10 (11) ◽  
pp. 1653 ◽  
Author(s):  
Suxiao Li ◽  
Hong Yang ◽  
Junguo Liu ◽  
Guangchun Lei

In China, the regional development policy has been shifting from solely economic orientation to ecologically sound economic growth. Using the Beijing-Tianjin-Hebei (Jing-Jin-Ji) region as a case study, we evaluated the temporal variations in ecosystem service values (ESVs) associated with land use changes from 1990 to 2015. We analyzed the dynamic relations between ESVs and the economy (indicated by the gross domestic product, GDP) by introducing the elasticity indicator (EI), which reflects the growth synchronism between the two, and the ecosystem service load (ESL), which reflects the ecological efficiency of economic growth. The results showed that the land use changes in Jing-Jin-Ji have been characterized by decreases in water areas, cropland, and grassland and increases in woodland and built-up areas. The ESVs of woodland and water areas contributed to 80% of the total ESV of the region, and the total ESV increased by 13.87% as a result of an area increase in woodland (26.87%). The average EI of Jing-Jin-Ji improved from 0.028 to 0.293 over the study period, indicating that the growth of ESVs was being balanced with the growth in the GDP. The average ESL decreased by 1.24, suggesting a significant improvement in ecological efficiency per unit GDP. Within the Jing-Jin-Ji region, large disparities in EI and ESL were shown to exist among Beijing, Tianjin, and Hebei owing to their differences in ecological resources, GDP compositions, and development levels. The study highlights the needs to reinforce woodland and water conservation, adjust economic structures, and balance the intraregional development to achieve the ecological-economic integrity of the region.


2019 ◽  
Vol 11 (22) ◽  
pp. 6348
Author(s):  
Jincheng Jiang ◽  
Jinsong Chen ◽  
Wei Tu ◽  
Chisheng Wang

Estimation of economic development in advance is benefit to test the validity of economic policy or to take timely remedial measures for economic recession. Due to the inevitable connections between human mobility and economic status, estimation of economic trend in advance from easily observable big data in human mobility has the superiority of authenticity, timeliness, and convenience. However, high-precision quantitative relations between human mobility and economic growth remain an outstanding question. To this issue, we firstly analyzed and compared the general patterns of human mobility and economic development; then, a novel, simple, and effective hybrid human mobility indicator ( H H M I i ) of weighted human mobility networks was proposed to quantitatively estimate economic growth. H H M I i contained two parts, that is, the interaction volumes of a given city with all participation cities and only top hub cities, respectively. This implied that the economic growth of a city is affected by not only its own strength, but also the cooperation with hub cities. Several empirical experiments demonstrated that the proposed H H M I i had an exceedingly high estimation ability of economic growth, especially for the tertiary industry. Compared with other complex network indicators, H H M I i had a distinct advantage and its best accuracy reached 0.9543. These results can provide policy-making supports for inter-city sustainable coordinated development.


2021 ◽  
Vol 269 ◽  
pp. 01006
Author(s):  
Yubo Wang ◽  
Aohan Li ◽  
Shiyun Cheng

By selecting the data from 2004 to 2016, this paper studies the coupling and coordinated development of new energy industry agglomeration, innovative human capital and green economic growth in China. The results show the characteristics of “high coupling and low coordination”. At the same time, the coordination level shows a step-like distribution from the southeast coastal areas to the southwest and northwest regions. Through the establishment of PVAR model, it is found that the energy industry agglomeration and economic green development have a circular driving force, while the innovative human capital has a negative effect. The regional heterogeneity mainly exists in the central and western regions.


2021 ◽  
Vol 292 ◽  
pp. 01032
Author(s):  
Renrui Liu

With the proposal of a sustainable development strategy, the development of new energy is accelerating day by day. The impact of new energy on economic growth has become increasingly apparent. Therefore, this article will analyse the characteristics and development status of new energy. This article focuses on the analysis of the development of new energy in China, including the current data on wind energy and biomass energy in China, so as to put forward the influence factors of the development of new energy on economic construction. At the same time, it also proposed a new energy development strategy centred on economic growth. The purpose of this article is to guide the coordinated development of new energy development and economic growth.


2021 ◽  
Vol 25 (4) ◽  
pp. 98-109
Author(s):  
B. D. Matrizaev

This article examines the main mechanisms and tools for implementing innovation policy in countries with fastgrowing economies such as China and India. The study aims to explore the causal relationship between innovation, key macroeconomicvariables and economic growth.The author applies the entropy method and adapts the Graymodel to build a system of indices for assessing the coordination of the interaction of technological innovation, financial development and economic growth. The results show that the degree of integration of the financial system into innovation processes has a significant positive impact on the success of innovation, which is measured by patent activity. Our research proves that innovation indirectly affects economic growth through quality of life, infrastructure efficiency, employment, and rade openness. The findings of the research reveal that both economic growth and innovation tend to depend on a number of conjugate variables in the long run: capital, labor, etc. The author concludes that a comprehensive analysis of technological innovation, financial development and economic growth shows that the three-factor relationship has great potential for coordinated development, as a result of which, according to the calculated forecasts, economic growth in fast-growing economies will significantly accelerate its pace in the next five years. The subject of further research may be an analysis of whether the degree of conjugation of connectivity and coordination between the three systems will maintain stable growth at high values and whether they will be able to reach the stage of transformation.


2020 ◽  
Vol 8 (2) ◽  
pp. 130-147
Author(s):  
Shiyi Yuan ◽  
Xiaopeng Sun ◽  
Weiguo Chen ◽  
Yongwu Li

AbstractThe Beijing-Tianjin-Hebei region is one of the regions with the most dynamic economies, highest degrees of openness, strongest innovation capacities and largest populations, as well as an important engine driving China’s economic development. Currently, the development of the Beijing-Tianjin-Hebei region faces many difficulties, including an inefficient distribution of regional functions, imbalance in industrial structure, low sophistication, and serious overburdening of resources and the environment. Promoting the overall coordinated development of the region has become an urgent challenge. In this paper, according to the conventions of industrial structure optimization, the three core indicators of regional industrial structure rationalization, sophistication and ecologicalization are constructed. With the help of the grey dynamic correlation model, the three indicators are coupled with the economic growth rate, and the industrial structure optimization index of the Beijing-Tianjin-Hebei region is comprehensively measured. The study shows that rationalization of the industrial structure in the Beijing-Tianjin-Hebei region is increasing but that this trend is not obvious; sophistication of the industrial structure is relatively high and has also been operating at a high level; however, the overall ecological level of the industrial structure in the Beijing-Tianjin-Hebei region is not high and presents the characteristics of high in the middle and low at both ends. In terms of the relationship between industrial structure and economic growth in the Beijing-Tianjin-Hebei region, ecologicalization of the industrial structure has the greatest influence on economic growth, followed by sophistication of the industrial structure, and rationalization of the industrial structure has the weakest influence.


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