Efficiency Evaluation of Chinese Provincial Industrial System Based on Network DEA Method

Ku, He; Zhu, Nan; Wu, Jiagui; Zhu, Chuanjin

doi:10.3390/su14095264

Cited by 8 publications

(3 citation statements)

References 66 publications

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“…Existing research constitutes an important basis for this study, but the following deficiencies still exist. First, most of the current studies on IE are focused on the provincial level [47], urban clusters [10,48], or industrial parks, and relatively few studies from watershed perspective. Second, the existing research on IE mainly adopts a single method and perspective and pays insufficient attention to the internal mechanism when analyzing the influence factors of IE, which cannot fully reflect the connotation of IE.…”

Section: Research Gapmentioning

confidence: 99%

Evolution of Industrial Ecology and Analysis of Influencing Factors: The Yellow River Basin in China

Zhang

Wang

2023

Land

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The Yellow River Basin is an important ecological function area and economic zone in China that faces the dual pressure of economic development and ecological protection. Industrial ecology designs industrial activities by imitating the ecosystem and would solve the dilemma in the development process of the Yellow River Basin. In this study, we evaluated the industrial ecology of 100 prefecture-level cities along the Yellow River Basin from 2003 to 2020 using the entropy weight method and analyzed their long-term spatial and temporal evolution trends. We also deconstructed the driving factors affecting the industrial ecology in the Yellow River Basin, regarding both internal and external aspects, using the coupled coordination model and the panel quantile model. We found the following: (1) The industrial ecology in the Yellow River Basin was slowly increasing in a “N”-type transformation trajectory, but the overall was still relatively low. (2) The slow improvement in ecosystem efficiency and the low coordination between the industrial system and the ecosystem are the main internal factors limiting the improvement in industrial ecology. (3) The population agglomeration, human capital accumulation, government guidance, and technology level are all important for improvements in industrial ecology in the Yellow River Basin. The impact of the financial level on industrial ecology in the Yellow River Basin was found to be negative. Therefore, it is necessary to take the correlation and coordination between the industrial system and the ecosystem as the main means and actively and positively promote the role of the external influencing factors to improve the industrial ecology in the Yellow River Basin.

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Section: Research Gapmentioning

confidence: 99%

Evolution of Industrial Ecology and Analysis of Influencing Factors: The Yellow River Basin in China

Zhang

Wang

2023

Land

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“…China is currently undergoing a pivotal economic transformation as its rapid industrialization has led to high economic growth (He et al, 2022). This industrial boom, however, has propelled the nation to the position of the world's largest energy consumer and carbon dioxide emitter, with its downsides being evident in escalating pollution, increased energy consumption, and carbon emissions (Hu and Zheng, 2021).…”

Section: Introductionmentioning

confidence: 99%

How do smart city pilots affect the ESG performance of manufacturing firms? evidence from China

Tang,

Wang,

2024

Front. Environ. Sci.

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Introduction: The existing literature extensively covers factors influencing environmental, social, and governance (ESG) performance. However, there’s a lack of studies exploring the relationship between smart cities and ESG performance. This gap is surprising, particularly considering the significant role that governments in developing countries play in leading smart city initiatives.Methods: As the impact of smart city pilot (SCP) policies, initiated by governments, on the ESG performance of manufacturing firms lacks verification, our study leverages SCP as a quasi-experiment to examine the effects of smart city development on this performance. Data was collected from 2,229 listed manufacturing firms in China from 2009 to 2020.Results: Our findings indicate a substantial increase in ESG performance among manufacturing firms due to SCP implementation. Heterogeneity analysis reveals that the positive influence of SCP is primarily advantageous for non-state-owned enterprises. Geographically, SCP significantly enhances corporate ESG performance in eastern and central China, with more muted effects observed in the western region. Two key mechanisms driving the enhancement of corporate ESG performance due to SCP are the promotion of green innovation investment and the improvement of internal control quality.Discussion: This paper provides valuable insights for policymakers and business leaders in China and other emerging economies. It guides them in fortifying ESG performance, thereby facilitating sustainable corporate growth.

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“…Multiple input and output indicators can be selected when calculating the target efficiency values as input and output elements of rural tourism, respectively. The literature [28][29][30][31] selected the DEA method to analyze the economic effects of the tourism industry in the Guarquecaba region of Brazil and the strength of the effects. The results of the study found that relying on the dual forces of foreign investment and imports to develop the country's economy, the strength of the contribution of both was found to dominate the local tourism industry and the subsequent proof of this argument, due to the successive withdrawal of foreign investment, which led to a heavy blow to the Brazilian tourism industry, which has since fallen into disarray.…”

Section: Introductionmentioning

confidence: 99%

The promotion path of high-quality development of rural tourism based on intelligent cloud platform system

Zhu

2023

Applied Mathematics and Nonlinear Sciences

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With the continuous development of the economy and the level of science and technology, people are no longer satisfied with the old rural tourism model, and information technology is developing rapidly, which brings an opportunity for developing rural tourism innovation. As a product of the comprehensive development of the information age in recent years, “Internet+Rural Tourism” builds an intelligent cloud platform for rural information services relying on big data and other advantages and establishes a rural intelligent tourism service system to provide convenient, intelligent, and diversified services for tourists. This paper elaborates on the practical significance of “Internet + rural tourism” development opportunities”. It proposes to scientifically calculate the environmental capacity of rural eco-tourism areas, control the scale of visitors and reasonably invest in costs because of the problems of lagging infrastructure facilities and limited distribution of inputs and outputs in the process of its development. The results of this paper show that the satisfaction level of rural tourism tourists is the lowest, with the degree of “dissatisfaction” as high as 38.40%; in the rating of rural tourism indicators, the rating of rural ecological environment is only 52.41, the average rating of rural economic indicators is 60.12, and the average rating of comprehensive management indicators is 58.2. The results of this paper also illustrate that the current rural tourism development has three major problems: environment, economy, and management and that rural tourism should not blindly invest high costs if it wants to seek high-quality development but should seek long-term development of rural tourism based on its characteristics and rural ecological environment indicators.

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Efficiency Evaluation of Chinese Provincial Industrial System Based on Network DEA Method

Cited by 8 publications

References 66 publications

Evolution of Industrial Ecology and Analysis of Influencing Factors: The Yellow River Basin in China

Evolution of Industrial Ecology and Analysis of Influencing Factors: The Yellow River Basin in China

How do smart city pilots affect the ESG performance of manufacturing firms? evidence from China

The promotion path of high-quality development of rural tourism based on intelligent cloud platform system

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