Coupling efficiency measurement and spatial correlation characteristic of water–energy–food nexus in China

Sun, Caizhi; Yan, Xiaodong; Zhao, Liangshi

doi:10.1016/j.resconrec.2020.105151

Cited by 97 publications

(63 citation statements)

References 13 publications

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“…The data envelopment analysis model is not only applicable to the calculation of total factor productivity, but also widely used to calculate different types of efficiency values such as innovation efficiency [ 32 , 33 , 34 ], ecological efficiency [ 35 ], coupling efficiency, and economic efficiency [ 36 , 37 , 38 ]; its production frontier of the data envelopment analysis model is composed of piecewise linear functions. The piecewise linear functions will be parallel to the coordinate axis in the space coordinate system.…”

Section: Green Total Factor Productivity Measurement Methodsmentioning

confidence: 99%

Research on the Impact of Government Environmental Information Disclosure on Green Total Factor Productivity: Empirical Experience from Chinese Province

Liang

Chen

2022

IJERPH

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Government environmental information disclosure is an important means to promote environmental supervision and law enforcement, and improve the level of environmental management. In order to explore the impact of government environmental information disclosure on the sustainability of urban economic growth, this paper uses the Pollution Information Transparency Index (PITI) to measure the degree of government environmental information disclosure, studies its effect on green total factor productivity through two-way fixed effect model and systematic GMM estimation method, and further adopts threshold model to study whether there is heterogeneity in this effect. The results show that: (1) Each unit of government environmental information disclosure will increase green total factor productivity by 0.2 units. (2) Considering the endogeneity, the promotion of government environmental information disclosure to green total factor productivity has increased. (3) The degree of government environmental information disclosure plays a non-linear role in the path of green total factor productivity. The greater the degree of economic development, the more obvious the effect of government environmental information disclosure on green total factor productivity. Therefore, this paper believes that the government should strengthen the disclosure of environmental information based on the urban economic development to ensure the sustainability of urban economic development.

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Section: Green Total Factor Productivity Measurement Methodsmentioning

confidence: 99%

Research on the Impact of Government Environmental Information Disclosure on Green Total Factor Productivity: Empirical Experience from Chinese Province

Liang

Chen

2022

IJERPH

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“…Ding et al ( 2020) investigated the regional water-energy nexus in China's industrial sector by proposing an interactive meta-frontier DEA approach. More recently, Sun et al (2021) constructed a water-energy-food input-output index system by using the superefficient DEA model, which aims to measure the coupling efficiency in the water-food-energy nexus. Yang et al (2021) developed a dynamic interactive network slackbased measure to explore the performance of the provincial industrial water system in China.…”

Section: Methods Related To Water-energy Nexus Assessmentmentioning

confidence: 99%

Efficiency Evaluation and Projection Improvement of the Industrial Water–Energy Nexus in China Based on Network Data Envelopment Analysis

Liang¹,

Huang

Ding

2021

Front. Energy Res.

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Water and energy are critical resources for human well-being. The quantification and explanation of the water–energy nexus is important to enrich our understanding of sustainable utilization of water and energy resources in a unified framework. Herein, from the perspective of production efficiency, this study investigates the water–energy nexus in China’s industrial sector by developing a network data envelopment analysis (DEA) approach. Under two practical principles, we evaluate the water and energy usage efficiencies as well as give projection points in terms of industrial production and wastewater treatment processes for 30 provinces or urban areas in China during 2011–2015. The results show that the overall efficiency values of most provinces in the industrial water–energy nexus system are high although the efficiency value of each province fluctuates up and down in the sample period. When comparing two subsystems, for most provinces, the sub-efficiencies of the industrial production subsystem are relatively higher than those of the wastewater treatment subsystem under the economic priority principle or environment priority principle. Considering the projection points, the potential improvement space of the environment priority strategy is higher than that of the economic priority strategy. Based on the empirical results, relevant policy suggestions are provided to improve the provincial or urban industrial water–energy nexus system in reality.

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“…For Growth Enterprise Market (GEM) companies, the appropriate implementation of industrial policies will stimulate R&D investment, which will lead to a "seed effect," an "induced effect," and even a "selfenhancing effect" on innovation [19]. Financial means and financial policies can effectively change the external economic environment of corporate innovation activities [20][21][22][23][24]; this is conducive to external financing and expansion of investment, which is the basic premise for enterprises carrying out innovation activities. Large enterprises may have the strength to bear the risks brought by the complexity, high investment, and uncertainty of innovation activities, while SMEs lack strength and resources, as well as face serious financing difficulties, high innovation costs, unsustainable scientific and technological innovation, and other practical problems [25].…”

Section: Hypothesesmentioning

confidence: 99%

The Influence of Industrial Policy on Innovation in Startup Enterprises: An Empirical Study Based on China's GEM Listed Companies

Wang

Zhu

2021

Complexity

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This study uses China’s Growth Enterprises Market (GEM) listed companies from 2011 to 2017 as samples to examine the impact of industrial policies on innovation in startups from three dimensions, namely, selective industrial policies, government subsidies, and financial support. The results show that selective industrial policies have no effect on the innovation output of startups. Financial support can significantly promote the innovation output of entrepreneurial enterprises; structural differences exist in the impact of government subsidies on the innovation of entrepreneurial enterprises. The influence of industrial policy on the innovation of entrepreneurial enterprises depends on the research and development intensity of enterprises, the level of regional economic development, the leadership structure of enterprises, and other factors. This study’s findings have significant practical significance for the implementation of a national innovation-driven development strategy and to guide industrial policies that better promote enterprise innovation.

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Coupling efficiency measurement and spatial correlation characteristic of water–energy–food nexus in China

Cited by 97 publications

References 13 publications

Research on the Impact of Government Environmental Information Disclosure on Green Total Factor Productivity: Empirical Experience from Chinese Province

Research on the Impact of Government Environmental Information Disclosure on Green Total Factor Productivity: Empirical Experience from Chinese Province

Efficiency Evaluation and Projection Improvement of the Industrial Water–Energy Nexus in China Based on Network Data Envelopment Analysis

The Influence of Industrial Policy on Innovation in Startup Enterprises: An Empirical Study Based on China's GEM Listed Companies

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