Energy-related GHG emission in agriculture of the European countries: An application of the Generalized Divisia Index

被引:72
作者
Yan, Qingyou [1 ]
Yin, Jieting [1 ]
Balezentis, Tomas [2 ]
Makuteniene, Daiva [3 ]
Streimikiene, Dalia [2 ]
机构
[1] North China Elect Power Univ, 2 Beinong, Beijing, Peoples R China
[2] Lithuanian Inst Agrarian Econ, Kudirkos Str 18-2, LT-03105 Vilnius, Lithuania
[3] Aleksandras Stulginskis Univ, Fac Econ & Management, Univ Str 10, Akademija, Kaunas District, Lithuania
关键词
GHG emissions; Energy consumption; Agriculture sector; Index decomposition analysis; Generalized Divisia Index; CO2; EMISSIONS; DECOMPOSITION ANALYSIS; ENVIRONMENTAL EFFICIENCY; INDUSTRIAL SECTOR; CHINA; REDUCTION; GROWTH; DEA; CONSUMPTION; DRIVERS;
D O I
10.1016/j.jclepro.2017.07.010
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Sustainable agriculture, food security, and welfare of the farmers require an integrated analysis of the performance of the agricultural sector. In this paper, we follow the energy-environment-economy framework and focus on decomposition of changes in the energy-related greenhouse gas (GHG) emission in agricultural sectors of the selected European Union (EU) countries. The research relies on country level data from FAO and Eurostat describing economic activity, energy use, and GHG emission in the agricultural sectors of the European countries during 1995-2012. The main drivers (carbon factor of energy consumed in agriculture, energy intensity of agricultural production and growth in agricultural production) and their impacts on the energy-related GHG emissions in agriculture are analysed for selected countries. The Generalized Divisia Index is applied to decompose the changes in the energy related GHG emissions. France, Latvia, and Belgium appeared as the only countries with increase in GHG emissions during 1995-2012. In the case of France, energy intensity went up along with increase in the scale of agricultural production. In Latvia and Belgium, an increase in carbon factor appeared as the major factor driving an increase in GHG emissions. The appropriate policies need to be employed in these countries seeking to reduce GHG emissions from energy consumption in agriculture. Improvements in energy efficiency appear to be a more feasible mean for ensuring further reductions in GHG emission. (C) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码:686 / 694
页数:9
相关论文
共 38 条
[21]   The economic and environmental efficiency assessment in EU cross-country: Evidence from DEA and quantile regression approach [J].
Moutinho, Victor ;
Madaleno, Mara ;
Robaina, Margarita .
ECOLOGICAL INDICATORS, 2017, 78 :85-97
[22]  
Paasche H., 1874, Jahrb Nationalokonomie Statistik, V12, P168
[23]   Energy consumption across European Union farms: Efficiency in terms of farming output and utilized agricultural area [J].
Pereira Domingues Martinho, Vitor Joao .
ENERGY, 2016, 103 :543-556
[24]   Change in energy-related CO2 (carbon dioxide) emissions in Portuguese tourism: a decomposition analysis from 2000 to 2008 [J].
Robaina-Alves, Margarita ;
Moutinho, Victor ;
Costa, Rui .
JOURNAL OF CLEANER PRODUCTION, 2016, 111 :520-528
[25]   Decomposition of energy-related GHG emissions in agriculture over 1995-2008 for European countries [J].
Robaina-Alves, Margarita ;
Moutinho, Victor .
APPLIED ENERGY, 2014, 114 :949-957
[26]   Uncovering driving factors of carbon emissions from China's mining sector [J].
Shao, Shuai ;
Liu, Jianghua ;
Geng, Yong ;
Miao, Zhuang ;
Yang, Yingchun .
APPLIED ENERGY, 2016, 166 :220-238
[27]   Using an extended LMDI model to explore techno-economic drivers of energy-related industrial CO2 emission changes: A case study for Shanghai (China) [J].
Shao, Shuai ;
Yang, Lili ;
Gan, Chunhui ;
Cao, Jianhua ;
Geng, Yong ;
Guan, Dabo .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2016, 55 :516-536
[28]   Incentive modes and reducing emissions from deforestation and degradation: who can benefit most? [J].
Sheng, Jichuan ;
Cao, Jie ;
Han, Xiao ;
Miao, Zhuang .
JOURNAL OF CLEANER PRODUCTION, 2016, 129 :395-409
[29]   A methodology to estimate national REDD plus reference levels using the Zero-Sum-Gains DEA approach [J].
Sheng, Jichuan ;
Miao, Zhuang ;
Ozturk, U. Aytun .
ECOLOGICAL INDICATORS, 2016, 67 :504-516
[30]  
Vaninsky A., 2013, Gdim, V7, P2772, DOI [10.5281/zenodo.1088530, DOI 10.5281/ZENODO.1088530]