The Analysis of the Generalized Carbon-Productivity in China’s Sub-Industrial Sectors

Gao, Wen; Zhao, Guo Hao

doi:10.4028/www.scientific.net/amr.347-353.1326

Cited by 2 publications

(2 citation statements)

References 3 publications

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“…Most of the early studies of industrial production efficiency focused on the measurement of single industrial production efficiency. On the basis of careful consideration of labor and capital input, the industrial economic output was selected to measure its production efficiency [37], without considering energy constraints and the production process of each production process, that is, pollution emissions [38]. Therefore, more and more scholars have begun to incorporate constraints, such as resources and environment, into the analysis framework of industrial production efficiency [39].…”

Section: Application Of the Dea Model In Production And Health Effici...mentioning

confidence: 99%

Dynamic Association between Industrial and Agricultural Economic Development, Environmental Pollution and Public Health in China: Based on the Parallel Two-Stage EBM-DEA Model

Yang,

Qian,

Niu

et al. 2024

Pol. J. Environ. Stud.

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Agricultural and industrial production activities generate GDP and greatly improve the quality of life of residents. At the same time, these activities also lead to increased energy consumption and emit large amounts of pollutants, which affect public health. However, there has been little past research focused on all the above associations. This study innovatively proposes a parallel two-stage EBM-DEA model to re-measure health production efficiency. The objective is to conduct a joint analysis of the economic development, pollutant emissions and human health of agriculture and industry in 30 provinces in China from 2016 to 2020, and calculate the health production efficiency, stage efficiency (agricultural production efficiency, industrial production efficiency and health efficiency) and environmental pollution efficiency. The research shows that the health production efficiency in other provinces has not reached the efficiency frontier except in Beijing, Fujian, Zhejiang, and Ningxia. In addition, there is room for improvement to varying degrees. In terms of geographical disparity, agricultural production efficiency and health efficiency are distributed in the trend of east > west > central, whereas industrial production efficiency is distributed in a ladder shape from east > central > west. Health efficiency contributes to overall efficiency, whereas agricultural and industrial production efficiencies drag down overall efficiency. The discharge efficiency of various pollutants shows that China's environmental control policies have achieved good results, but environmental problems in some provinces are still serious. Moreover, areas with higher pollutant discharge efficiency values have higher tuberculosis incidence

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Section: Application Of the Dea Model In Production And Health Effici...mentioning

confidence: 99%

Dynamic Association between Industrial and Agricultural Economic Development, Environmental Pollution and Public Health in China: Based on the Parallel Two-Stage EBM-DEA Model

Yang,

Qian,

Niu

et al. 2024

Pol. J. Environ. Stud.

View full text Add to dashboard Cite

show abstract

“…By utilizing high-end technology and advanced applicative knowledge to reform and upgrade traditional industries, these moves cannot only reduce energy consumption, decrease pollution and CO2 emissions but also transform the development mode of over fuel combustion and environmental contamination; as well as enhancing industrial competitiveness to nurture new economic growth pole. The overall low carbon productivity of China's sub-industrial sectors is primarily due to the low efficiency of technology and scale [35]. …”

Section: Changing Trend Analysis Of Technical Progress and Carbon Promentioning

confidence: 99%

Impact of Environmental Regulation and Technical Progress on Industrial Carbon Productivity: An Approach Based on Proxy Measure

Zhang

2016

Sustainability

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This research aims to study the main influencing factors of China's industrial carbon productivity by incorporating environmental regulation and technical progress into an econometric model. The paper focuses on data from 35 of China's industrial sectors and covers the period from 2006 to 2014, in order to examine the impact of environmental regulation and technical progress on carbon productivity. Methods applied include panel fixed effect model, panel random effect model and two stage least squares with instrumental variables (IV-2SLS). The effect of environmental regulation and technical progress has industrial heterogeneity. The paper subdivides industrial sectors into capital and technology intensive, resource intensive and labor intensive sectors according to factor intensiveness. The estimation results of the subgroups have uncovered that for capital and technology intensive and resource intensive sectors, environmental regulation has a more significant impact than technical progress; while for labor intensive sectors, innovation more significantly influences carbon productivity. In addition, foreign direct investment (FDI) and industrialization level facilitate improving carbon productivity for the full sample. By contrast, industrial structure inhibits the overall industrial carbon productivity. The industry-specific results indicate that for capital and technology intensive sectors, optimizing of the industrial structure can improve carbon productivity; for resource intensive sectors, FDI and energy consumption structure should be emphasized more; for labor intensive sectors, industrialization levels help enhance carbon productivity. Finally the industrial sector-specific policy suggestions are proposed.

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The Analysis of the Generalized Carbon-Productivity in China’s Sub-Industrial Sectors

Cited by 2 publications

References 3 publications

Dynamic Association between Industrial and Agricultural Economic Development, Environmental Pollution and Public Health in China: Based on the Parallel Two-Stage EBM-DEA Model

Dynamic Association between Industrial and Agricultural Economic Development, Environmental Pollution and Public Health in China: Based on the Parallel Two-Stage EBM-DEA Model

Impact of Environmental Regulation and Technical Progress on Industrial Carbon Productivity: An Approach Based on Proxy Measure

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