A Malmquist Index-Based Dynamic Industrial Green Efficiency Evaluation in Sichuan Province

Liu, Xuhong; Jie, Xiaowen

doi:10.1007/978-3-319-59280-0_114

Cited by 3 publications

(2 citation statements)

References 9 publications

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“…The inputs variables consisted of a number of employees, total investment in fixed assets and industrial value-added of energy consumption and output variables were considered as the total value of industrial production and total pollution discharge of industrial waste. The results indicated that industrial efficiency in this province was low, and technology was the most essential factor in reducing green industrial efficiency [13]. Matinho Inputs in this study included labor, capital, share of energy in GDP, and outputs included polluting gases.…”

Section: Analysis Of Input Intermediate and Output Variablesmentioning

confidence: 82%

Evaluating Environmental Efficiency of European Union Countries with the Approach of Network Data Envelopment Analysis

Rezaei

Dehnavi²,

Meybodi³

et al. 2022

J. Hum. Environ. Health Promot

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Section: Analysis Of Input Intermediate and Output Variablesmentioning

confidence: 82%

Evaluating Environmental Efficiency of European Union Countries with the Approach of Network Data Envelopment Analysis

Rezaei

Dehnavi²,

Meybodi³

et al. 2022

J. Hum. Environ. Health Promot

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“…Some scholars conducted their research on cities with a certain characteristic in China. Liu and Jie studied the green TFP of 18 cities in Sichuan province of China [ 19 ]. The industrial green efficiency in Sichuan province was low, but in recent years industrial green TFP is greater than 1; green technical efficiency showed a trend of rapid growth, but the technology progress inhibited the trend.…”

Section: Literature Reviewmentioning

confidence: 99%

Research on China Cities’ Total Factor Productivity of Carbon Emission: Based on Decoupling Effect

Chen

Zhao

Wang

2022

IJERPH

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Economic development depends on energy consumption, which is a major source of carbon emission. How to achieve economic decarbonization has become one of the key questions urgently needing to be solved on the road of carbon peak and carbon neutral development in China. Advancing total factor productivity (TFP) of carbon emission is an important way to promote economic decarbonization. For the carbon emission TFP, current research is mainly conducted from province level or an industry perspective, and studies its deference with various geographical locations, economic development levels, urbanization levels, etc., lacking the research that combines the decoupling effect to carbon emission TFP. The carbon emission TFP of Chinese cities and how to improve it remain unclear. Therefore, based on Tapio decoupling theory, this paper firstly analyzed the decoupling effect of China’s 284 cities from 2005 to 2019, and aggregated the cities into four groups according to the decoupling effect. Then, using the DEA–Malmquist index, this paper researched the carbon emission TFP and its driving factors based on the aggregation. The result shows that weak decoupling is the main decoupling status in China. As a whole, carbon emission TFP of Chinese cities does not perform well, but it shows a growth trend over time. Strong decoupling cities outperform expansive negative decoupling cities on carbon emission TFP. Technical change and pure technical efficiency change have inhibiting effect and promoting effect on carbon emission TFP, respectively, which are the main factors for the difference of carbon emission TFP between strong decoupling cities and expansive negative decoupling cities. Based on these findings, some common but differentiated recommendations are provided for improving Chinese cities’ carbon emission TFP.

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An innovative approach to evaluating sustainable development performance: The case of Turkey

Aldalou,

Perçin

2024

Natural Resources Forum

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The assessment of sustainable development necessitates precise productivity measurement. Existing literature reveals a wide array of methods employed for this purpose. However, these approaches give rise to concerns regarding the accurate assessment of both efficiency (EC) and technical (TC) changes. Additionally, the data used for productivity measurement are often subject to uncertainty. In response to these shortcomings in the existing literature, this study introduces the Environmental Fuzzy Malmquist Total Factor Productivity (EFM) index for productivity measurement. Within this framework, the study aims to assess Turkey's environmental sensitivity and sustainable development performance using the proposed EFM index. To achieve this goal, the study first constructs the Environmental Sensitivity Index (ESI), considering undesirable environmental pollution variables related to air, water, and soil pollution. Subsequently, the ESI is integrated with the Fuzzy Malmquist Total Factor Productivity Index (FM) to develop the new EFM index. The proposed integrated EFM index exhibits an enhanced ability to evaluate both EC and TC while addressing the challenges stemming from uncertainty. The proposed integrated EFM index indicates that the Marmara and Aegean regions of Turkey demonstrate the highest level of sustainable development performance. Finally, the study offers recommendations and policies to assist developing countries in enhancing their sustainable development performance.

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A Malmquist Index-Based Dynamic Industrial Green Efficiency Evaluation in Sichuan Province

Cited by 3 publications

References 9 publications

Evaluating Environmental Efficiency of European Union Countries with the Approach of Network Data Envelopment Analysis

Evaluating Environmental Efficiency of European Union Countries with the Approach of Network Data Envelopment Analysis

Research on China Cities’ Total Factor Productivity of Carbon Emission: Based on Decoupling Effect

An innovative approach to evaluating sustainable development performance: The case of Turkey

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