Measurement of Regional Industrial Ecological Efficiency in China and an Analysis of Its Influencing Factors

Wu, Mingran

doi:10.11648/j.jwer.20200901.16

Cited by 5 publications

(5 citation statements)

References 2 publications

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“…(2) Output indicators: The output indicators are divided into the expected outputs based on the total output value of the Jiangsu chemical industry and the unexpected outputs covering the negative effects on the water system. Based on Wu (2020), the discharge of major water pollutants (SO 2 , COD, ammonia nitrogen, and wastewater) in chemical industry production and the state of regional water quality (the ratio of river sections below class III water quality) were selected as undesirable outputs in the growth of the chemical industry.…”

Section: Methodsmentioning

confidence: 99%

The Impacts of Water Ecological Carrying Capacity on Green Total Factor Productivity: The Case of Chemical Industry in Jiangsu, China

Gu,

Chen,

et al. 2024

Sage Open

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The chemical industry is not only a crucial sector of national economy, but also a significant consumer of water resources and a major initiator of water pollution. The sustainable development of this sector is intricately linked to the regional water ecological carrying capacity (WECC). Based on SBM-DEA and Global Moran’s I, the green total factor productivity (GTFP) and spatial correlation characteristics of the chemical industry in 13 cities within China’s chemical agglomeration region in Jiangsu Province were estimated from 2015 to 2019. By combining the WECC results, the Tobit model was employed to reveal the driving factors of WECC in optimizing GTFP. The results indicated that the regional WECC in southern Jiangsu was increasing compared with that in northern Jiangsu, which promoted the growth of GTFP. WECC has been a positive radiation-driven effect since 2017, and the optimization of the various subsystems of WECC has had a different impact on GTFP. For the sustainable development of Jiangsu’s chemical industry, effective water resource policies should be formulated by the government, while enterprises need to pursue sustained structural adjustments.

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Section: Methodsmentioning

confidence: 99%

The Impacts of Water Ecological Carrying Capacity on Green Total Factor Productivity: The Case of Chemical Industry in Jiangsu, China

Gu,

Chen,

et al. 2024

Sage Open

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“…The digital economy effectively achieves timely and in-depth information communication between supply and demand through technologies such as the Internet and blockchain, improves work efficiency, reduces search costs (Xu Xianchun and Ren Xue et al, 2019), and shortens transaction time; And a more reasonable pricing mechanism has been formed, which has to some extent improved the efficiency of negotiation and decision-making (Jing Wenjun and Sun Baowen, 2019). The digital economy has rapidly spread information, efficiently linked resources, recombined various elements and improved speed, optimizing resource allocation efficiency [6][7][8][9].…”

Section: Theoretical Analysis and Research Hypothesesmentioning

confidence: 99%

Research on the Impact of Digital Economy on Ecological Efficiency

2023

AJBM

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As a key force driving economic and social development, studying whether the digital economy can improve ecological efficiency is of great practical significance. This article is based on existing research in the academic community, combined with theories such as endogenous growth and externalities, as well as the characteristics and laws of the digital economy, and proposes research hypotheses. Subsequently, panel data from 29 provinces and cities in China from 2011 to 2020 were selected for empirical research on research hypotheses. The entropy method and the unexpected super efficiency SBM model were used to calculate the digital economy and ecological efficiency, mainly analyzing the impact of the digital economy on the improvement of ecological efficiency. In terms of robustness testing, by replacing explanatory variables, excluding municipalities directly under the central government, and selecting instrumental variables, through empirical analysis, this article concludes that the digital economy has an improvement effect on ecological efficiency.

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“…Real GDP per capita is intrinsically linked to the process of urban industrialization and is related to the structure of the economy. It can objectively reflect the level of social development and the degree of development over a certain period (Wu, 2020).…”

Section: Real Gross Domestic Product Per Capitamentioning

confidence: 99%

“…Before industrialization, the cities around the urban coastal zone were small and sparsely populated, mostly dominated by agriculture and small shipping businesses. With the construction of reclamation projects, the productivity of urban coastal zones increased, and the per capita income and consumption level also increased, which led to the upgrading of the demand structure (Wu, 2020). At the same time, the change in the demand structure led to the transformation of resources of the industrial sectors, with an increased consumer demand.…”

Section: Stage-specific Development Mechanism Of Coupling Relationship Between Human Activity and Geographical Environment In Urban Coastmentioning

confidence: 99%

Coupling Relationship of Human Activity and Geographical Environment in Stage-Specific Development of Urban Coastal Zone: A Case Study of Quanzhou Bay, China (1954–2020)

Xiao

Shu

et al. 2022

Front. Mar. Sci.

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Owing to the development of the social economy, the geographical environment and ocean utilization patterns of urban coastal zones have changed. This change, in turn, has influenced the socio-economic development of urban coastal zones. Based on the Geographic Information System technology, the area, coastline length, and shoreland use function of reclamation areas were obtained from the geographic charts (1954–2020) and remote sensing data (1988–2017) of Quanzhou Bay. In this study, we analyzed the geomorphologic change process and the relationship between land use patterns and economic development in Quanzhou Bay from the perspectives of hydrodynamics, sediments, and human activity. Our results indicated that over the past 70 years, the bay area has reduced by 21.5%. The length of the coastline decreased from 208.36 km in 1959 to 149.11 km in 1988, whereas the shape index of the bay (SIB) decreased from 3.09 to 2.41 during the same period. Between 1988 and 2017, the coastline increased to 162.91 km, causing the SIB to increase to 2.72. The artificial index of the bay increased from 0.28 in 1959 to 0.90 in 2017. The intensity of bay the development (IBD) first increased from 0.27 in 1959 to 0.77 in 2006. During the transition to a more modern society (2006 to present), the IBD slightly decreased to 0.73 in 2017. Affected by human activity, the transformation of the reclaimed land in Quanzhou Bay can be divided into four stages that are closely linked to the economic development in the region. In the early industrialization period, reclaimed land in the region was used for agricultural production, whereas in the mid-industrialization period, it was gradually transformed into a combination of industrial (29.8%) and agricultural (56.1%) lands. In the later period of industrialization, the reclaimed land was gradually converted into urban industrial and port lands. Finally, with further refinement and upgrading of economic and industrial structures, the socio-economic and environmental benefits from coastal reclamation projects have been increasing, whereas the proportion of economic benefits (in the total benefits) has been decreasing. The results of this study can provide decision-making references for the optimization of utilization patterns and the economic development of reclamation lands in coastal areas.

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Measurement of Regional Industrial Ecological Efficiency in China and an Analysis of Its Influencing Factors

Cited by 5 publications

References 2 publications

The Impacts of Water Ecological Carrying Capacity on Green Total Factor Productivity: The Case of Chemical Industry in Jiangsu, China

The Impacts of Water Ecological Carrying Capacity on Green Total Factor Productivity: The Case of Chemical Industry in Jiangsu, China

Research on the Impact of Digital Economy on Ecological Efficiency

Coupling Relationship of Human Activity and Geographical Environment in Stage-Specific Development of Urban Coastal Zone: A Case Study of Quanzhou Bay, China (1954–2020)

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