Estimating the regional eco-efficiency in China based on bootstrapping by-production technologies

Yang, Lin; Ma, Chunbo; Yang, Yuantao; Zhang, Erchuan; Lv, Haodong

doi:10.1016/j.jclepro.2019.118550

Cited by 19 publications

(12 citation statements)

References 42 publications

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“…In general, the Eastern region has the highest sustainable development efficiency, which is consistent with the ecological efficiency results measured by Jin [68], Zameer [69], and Yang [43], the green economic efficiency results measured by Tao [64] and Su [65], the carbon dioxide emission efficiency measured by Ding [70], and the energy efficiency measured by Yu [71]. The efficiency of sustainable development in Central China is the lowest, which is consistent with the results of environmental efficiency measured by Song [31], ecological efficiency measured by Yang [72], land use efficiency measured by Yu [73] and Han [74], and cultivated land use efficiency measured by Kuang [75]; although some studies believe that the efficiency in the Western region is the lowest [76]. From the results of the first stage of comprehensive efficiency, shown in Figure 1, on the time dimension from 2005 to 2008, the efficiency of the 13 provinces and cities increased.…”

Section: Evaluation Of Efficiency In Stagesupporting

confidence: 87%

Analysis of Scale Factors on China’s Sustainable Development Efficiency Based on Three-Stage DEA and a Double Threshold Test

et al. 2020

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Based on the Driver-Pressure-State-Impact-Response (DPSIR) framework, this paper constructs the input, expected output, and unexpected output of China’s sustainable development. This paper calculates the sustainable development efficiency of 31 provinces and cities in China using a super-slack-based measure (SBM) model that eliminates the influence of scale factors through a three-stage data envelope analysis (DEA) approach. Taking the level of science and technology as the control variable, and the relative scale efficiency as the threshold variable, this paper calculates the effects of the absolute scale of labor force, education, economy, enterprise, and transportation on sustainable development efficiency. The results show that: (1) there is an upward trajectory for sustainable development efficiency of China’s provinces and municipalities overall from 0.65 in 2004 to 0.68 in 2017, with significant regional differences in which the ecological efficiency in the Eastern region is 0.26 higher than that of the Central region; (2) it enhances the absolute scale of the labor force, education, and transportation, in order to reduce the inhibition on sustainable development efficiency; and (3) shifts our attention to the promotion of absolute economic scale to the promotion of green economic development, and increases control of polluting enterprises.

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Section: Evaluation Of Efficiency In Stagesupporting

confidence: 87%

Analysis of Scale Factors on China’s Sustainable Development Efficiency Based on Three-Stage DEA and a Double Threshold Test

et al. 2020

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“…The production efficiency and scale of apples in different provinces are different in different years. To explore the specific influence and connection, this study uses DEAP2.1 software [33][34][35][36] to calculate the total factor production efficiency of seven provinces and cities from 2008-2018. In addition, when using the DEA method for measurement, the dynamic change in the total factor production efficiency of each province is analyzed, and the analysis method also further measures the technical progress and technical efficiency of each province.…”

Section: Discussionmentioning

confidence: 99%

Production efficiency and change characteristics of China’s apple industry in terms of planting scale

et al. 2021

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The global population is rapidly increasing, the arable land area is losing in a large scale, and the water supply capacity is limited. Meanwhile, China is in a critical period of the transformation of apple industrial structure, and the improvement of apple production efficiency is an important way to increase farmers’ output and income, moderate-scale operation is the inevitable trend in agricultural modernization. However, few studies have explored the production efficiency of the apple industry from the perspective of planting scale. In China, there are seven major apple-producing provinces: Shaanxi, Shandong, Gansu, Henan, Shanxi, Hebei, and Liaoning. Therefore, based on provincial panel data of the seven main apple-producing areas in China, this study used the Malmquist productivity index and data envelopment analysis to measure the efficiency level of the apple industry. At the same time, the threshold regression model was used to analyze the characteristics of the change in apple planting scale and production efficiency. The results showed that apple production efficiency in different regions of China exhibited regional differences and time series fluctuations. Apple planting scale had a "double" threshold effect, and the impact on apple production efficiency showed a "negative effect–positive effect" trend. Therefore, the suggestion is to appropriately adjust the scale of operation, take measures according to local conditions, promote the upgrading of apple production technology, and realize the integration of apple production and sales by using “Internet +.”

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“…As for geographical locations, following Huang et al ( 2014 ) and Yang et al ( 2020 ), we divide China into three economic zones—the eastern, central, and western regions with different industrial gradients and various development stages. 6 Among the economic zones the natural resources, infrastructure, regional development policies vary.…”

Section: Hypotheses Data and Methodologymentioning

confidence: 99%

Carbon emissions trading policy, carbon finance, and carbon emissions reduction: evidence from a quasi-natural experiment in China

Guo

Chiao

2021

Econ Change Restruct

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The purpose of this paper is to explore whether the implementation of carbon emissions trading policy (CETP) promotes carbon finance, proxied by investment and financing facilitating carbon emissions reduction (IFCER), and reduces carbon emissions. Evidence shows that first, CETP is effective in stimulating IFCER and reducing carbon emissions. Second, the effects of CETP persist over time. Third, the effects of CETP taking effect in pilot regions can spill over to non-pilot regions nearby. Fourth, the effect is more pronounced in eastern and wealthy regions. Finally, R&D and industrial upgrading have a mediating effect linking CETP to IFCER and carbon emissions.

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Estimating the regional eco-efficiency in China based on bootstrapping by-production technologies

Cited by 19 publications

References 42 publications

Analysis of Scale Factors on China’s Sustainable Development Efficiency Based on Three-Stage DEA and a Double Threshold Test

Analysis of Scale Factors on China’s Sustainable Development Efficiency Based on Three-Stage DEA and a Double Threshold Test

Production efficiency and change characteristics of China’s apple industry in terms of planting scale

Carbon emissions trading policy, carbon finance, and carbon emissions reduction: evidence from a quasi-natural experiment in China

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