Measuring water use performance in the cities along China's South-North Water Transfer Project

Zhang, Miao; Sheng, Jichuan; Webber, Michael; Baležentis, Tomas; Geng, Yong; Zhou, Weihai

doi:10.1016/j.apgeog.2018.07.020

Cited by 42 publications

(11 citation statements)

References 45 publications

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“…Chen et al [13] showed that tourism volume was the main driving force behind the increase in tourism-related carbon emissions with the logarithmic mean Divisia index (LMDI) and simultaneous equations. Miao et al [14] showed that sewage discharge free-of-charge water use and leakage are the crucial variables that constitute major contributions to the overall inefficiency value associated with urban water use. Second, others, such as Jia and Liu [15], utilize environmental indicators like CO 2 , SO 2 , and energy consumption as input variables to explore their impact on economic output.…”

Section: Literature Reviewmentioning

confidence: 99%

Energy, CO2, and AQI Efficiency and Improvement of the Yangtze River Economic Belt

et al. 2019

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With the rapid development of its economy, environmental governance is becoming more important in China. The Yangtze River Economic Belt (YREB), as the world’s largest inland shipping channel, can lead the country’s regional green economy development. As most research on China’s environmental efficiency focuses on provinces or the east and west regions, this paper examines its energy input and output and environmental effects from the aspects of YREB and non-YREB, breaking through the limitations of previous studies that only used cross-section or panel data for environmental assessment. This paper employs the meta-frontier dynamic SBM model, selects fixed assets as carry-over indicators, and considers the interrelationships between the dynamics variables during 2014–2016. The results are as follows: The overall energy efficiency and CO2 emission efficiency of YREB are higher than those of non-YREB. The difference in energy consumption, CO2, and AQI efficiency is large, but the performance of YREB is generally better than that of non-YREB. After setting the meta-frontier, non-YREB is better than YREB, for the main reason that the technology gap values of YREB are smaller than those of non-YREB. Our findings thus suggest that YREB should strengthen technical exchanges and promotion within its region, thereby decreasing regional technology differences, while non-YREB should address environment protection and CO2 emissions and advocate a low-carbon production mode.

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Section: Literature Reviewmentioning

confidence: 99%

Energy, CO2, and AQI Efficiency and Improvement of the Yangtze River Economic Belt

et al. 2019

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“…Feder (2018) provided a measurement method of TFP considering the change in bias technology: Specifically when the productivity of lower (or higher) cost factors increases, the bias factor's productivity component increases (or decreases). Li et al (2016) and Li, Yu, Baležentis, Zhu, and Ji (2017) use LMDI to measure China's productivity, and Miao et al (2018Miao et al ( , 2019 combine DEA with Luenberger indicators to measure environmental production technology and environmental performance.…”

Section: Introductionmentioning

confidence: 99%

Total factor productivity and the factors of green industry in Shanxi Province, China

Song

2019

Growth and Change

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Based on industrial panel data from 11 prefecture‐level cities in Shanxi Province from 2008 to 2016, two kinds of total factor productivity (TFP) are measured: With and without the consideration of environmental factors. The specific decomposition of TFP under these two conditions is then discussed. Finally, the factors of TFP are studied in a green industry context. The results indicate the following: (a) The TFP's annual growth rate considering environmental conditions is higher than that without such consideration; (b) if environmental factors are neglected, TFP improvements primarily depend on technological progress; (c) when considering environmental factors, both technological progress and improved technological efficiency promote the growth of green TFP (GTFP), but this still primarily depends on substantial technological progress, with an annual average growth rate that reaches 10.2%; and (d) among factors, the economic development level, degree of openness, and urbanization positively correlate with the GTFP, while the industrial structure and degree of informatization significantly and negatively correlate with GTFP.

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“…We calculate the subjective weight λ j by using the AHP method. The detailed steps of AHP method are listed in Long and Xu (2016) [22]; (7) We calculate the final weight ω j as follows:…”

Section: Calculation Of the Weights For The Indicatormentioning

confidence: 99%

“…The subjective weight and the objective weight distribution coefficient are α and β, respectively, and the calculation is performed using Equations (7) and (8).…”

Section: Of 18mentioning

confidence: 99%

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Integrated Assessment Method of Emergency Plan for Sudden Water Pollution Accidents Based on Improved TOPSIS, Shannon Entropy and a Coordinated Development Degree Model

et al. 2019

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Water is the source of all things, so it can be said that without the sustainable development of water resources, there can be no sustainable development of human beings. In recent years, sudden water pollution accidents have occurred frequently. Emergency response plan optimization is the key to handling accidents. Nevertheless, the non-linear relationship between various indicators and emergency plans has greatly prevented researchers from making reasonable assessments. Thus, an integrated assessment method is proposed by incorporating an improved technique for order preference by similarity to ideal solution, Shannon entropy and a Coordinated development degree model to evaluate emergency plans. The Shannon entropy method was used to analyze different types of index values. TOPSIS is used to calculate the relative closeness to the ideal solution. The coordinated development degree model is applied to express the relationship between the relative closeness and inhomogeneity of the emergency plan. This method is tested in the decision support system of the Middle Route Construction and Administration Bureau, China. By considering the different nature of the indicators, the integrated assessment method is eventually proven as a highly realistic method for assessing emergency plans. The advantages of this method are more prominent when there are more indicators of the evaluation object and the nature of each indicator is quite different. In summary, this integrated assessment method can provide a targeted reference or guidance for emergency control decision makers.

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Measuring water use performance in the cities along China's South-North Water Transfer Project

Cited by 42 publications

References 45 publications

Energy, CO2, and AQI Efficiency and Improvement of the Yangtze River Economic Belt

Energy, CO2, and AQI Efficiency and Improvement of the Yangtze River Economic Belt

Total factor productivity and the factors of green industry in Shanxi Province, China

Integrated Assessment Method of Emergency Plan for Sudden Water Pollution Accidents Based on Improved TOPSIS, Shannon Entropy and a Coordinated Development Degree Model

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