Measurements and Factors of Carbon Emission Efficiency

Chen, Lili; He, Feng

doi:10.15244/pjoes/69939

Cited by 13 publications

(10 citation statements)

References 15 publications

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“…China needs to change its industrial structure by focusing on industrial groups with linkage characteristics if it wants to reduce CO 2 emissions [ 71 ]. According to the statistics, industrial carbon emissions account for more than 70% of the total carbon emissions in China, so optimizing the industrial structure and actively developing the tertiary industries will have a direct impact on the carbon emission efficiency [ 72 , 73 ]. Environmental regulation (ER).…”

Section: Methodology and Datamentioning

confidence: 99%

“…Foreign direct investment can directly influence the country’s production, which affects both economic development and carbon emissions to some extent. At the same time, foreign investment will improve the country’s level of advanced technology and management style, which indicates that there is a spillover effect of FDI on the carbon emission efficiency [ 72 ].…”

Section: Methodology and Datamentioning

confidence: 99%

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Towards Carbon Neutrality: The Impact of Renewable Energy Development on Carbon Emission Efficiency

Dong

Qin

Zhang

et al. 2021

IJERPH

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The energy transition and carbon emission efficiency are important thrust and target functions, respectively, for achieving carbon neutrality in the future. Using a sample of 30 Chinese provinces from 2006 to 2018, we measured their carbon efficiency using the game cross-efficiency data envelopment analysis (DEA). Then, a random forest regression model was used to explore the impact of renewable energy development on regional carbon emission efficiency. The results are as follows. First, China’s carbon emission efficiency in the southeast coastal area was better than that in the northwest area. Second, renewable energy development first inhibited and then promoted carbon emission efficiency, and there existed a reasonable range. Third, through a regional heterogeneity analysis, the trend of the influence of renewable energy development on carbon emission efficiency was found to not be significantly different in eastern, central, and western China, but there was a certain gap in the reasonable range. Our study not only helps to promote the study of renewable energy development and the carbon neutral target, but also provides an important reference for Chinese policy-makers to design a reasonable carbon emissions reduction path.

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Section: Methodology and Datamentioning

confidence: 99%

Section: Methodology and Datamentioning

confidence: 99%

Towards Carbon Neutrality: The Impact of Renewable Energy Development on Carbon Emission Efficiency

Dong

Qin

Zhang

et al. 2021

IJERPH

View full text Add to dashboard Cite

show abstract

“…Additionally, as cited from different research, EBM is being applied to analyze production and efficiency; to compare efficiency values; to reduce emissions and for efficiency of PV industry; to see differences in carbon emissions, efficiency, and technology gap; to evaluate the process in procurement; to analyze traditional energy, to operate performance; and to measure the total factor energy efficiency. This is being used in the coal industry sector [9], CO2 emission reduction, hydropower and solar photovoltaic industry [10][11][12], banks [13], weapon procurement [14], new energy development and pollution emission [15], logistics [16], and transportation [17].…”

Section: Introductionmentioning

confidence: 99%

Performance Evaluation of Solar PV Power Plants in Taiwan Using Data Envelopment Analysis

Mariano

Liao

2021

Energies

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Due to the worldwide impact of industrialization, renewable sources of energy from solar play a huge role in supplying the domestic demand in Taiwan. This paper aims to impart an unbiased performance evaluation of different solar photovoltaic (PV) power plants around Taiwan. This study utilized data envelopment analysis (DEA) using the epsilon-based measure (EBM) model to compute the performance efficiency and ranking of the solar PV power plants. Additionally, the model is used for its advantage of combined radial and non-radial measures to achieve a more precise measure of efficiency. The results show that among nine selected solar PV plants, the top-performing DMU was I (8200051) from the southern part of Taiwan. Therefore, this study recommends that EBM can be a useful tool to evaluate the performance of solar PV power plants using multiple inputs and outputs. Additionally, this study will contribute to sustaining and developing the existing solar PV power capacity while achieving the installation of 20GW of solar energy as part of Taiwan’s goal. Even though the study has achieved the set goals, various restrictions remain present. Future studies could address micro and macro-level factors that influence the performance of solar PV power plants, which are not included in this study.

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“…Therefore, in order to understand agricultural trade and mechanisms that influence agricultural carbon emissions performance, it is necessary to first identify spillover effects on the national capital. Existing studies show that the agricultural production of a country is equivalent to that involved in agricultural trade through technology spillovers and industrial connection (Chen and He, 2017). However, this depends on the quantity and quality of the products being exported.…”

Section: Capital Formation Resulting From Tradementioning

confidence: 99%

Carbon Neutrality, International Trade, and Agricultural Carbon Emission Performance in China

Hou

Zhou

2022

Front. Environ. Sci.

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International trade and agricultural development play important roles in carbon neutrality. This study uses the Malmquist index to quantify agricultural carbon emission performance and the panel data regression model to analyze the relationship between international trade and agricultural carbon emission performance. Data from 2005 to 2020 were used. The results show that the agricultural carbon emission of China has increased slowly since 2005. There is still an improvement space for low-carbon agricultural productivity. As for the relationship between agricultural international trade and carbon emission performance, the coefficient of the total trade in agricultural products is 0.0444. Suggestions on agricultural international trade and the development of low-carbon agricultural production are put forward, which will provide technical support for carbon neutrality.

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Measurements and Factors of Carbon Emission Efficiency

Cited by 13 publications

References 15 publications

Towards Carbon Neutrality: The Impact of Renewable Energy Development on Carbon Emission Efficiency

Towards Carbon Neutrality: The Impact of Renewable Energy Development on Carbon Emission Efficiency

Performance Evaluation of Solar PV Power Plants in Taiwan Using Data Envelopment Analysis

Carbon Neutrality, International Trade, and Agricultural Carbon Emission Performance in China

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