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
[11]  
Fuinhas JA, 2016, TRANSFORM BUS ECON, V15, P192
[12]   Efficient Use of Energy Resources on French Farms: An Analysis through Technical Efficiency [J].
Ghali, Mohamed ;
Latruffe, Laure ;
Daniel, Karine .
ENERGIES, 2016, 9 (08)
[13]   "Green growth": From a growing eco-industry to economic sustainability [J].
Jaenicke, Martin .
ENERGY POLICY, 2012, 48 :13-21
[14]   Common trends and drivers of CO2 emissions and employment: a decomposition analysis in the industrial sector of selected European Union countries [J].
Kopidou, D. ;
Tsakanikas, A. ;
Diakoulaki, D. .
JOURNAL OF CLEANER PRODUCTION, 2016, 112 :4159-4172
[15]  
Laspeyres Etienne, 1871, JB NATIONALOKONOMIE, V16, P296, DOI DOI 10.1515/JBNST-1871-0124
[16]   LITHUANIAN ACHIEVEMENTS IN TERMS OF CO2 EMISSIONS BASED ON PRODUCTION SIDE IN THE CONTEXT OF THE EU-27 [J].
Liobikiene, Genovaite ;
Mandravickaite, Justina ;
Krepstuliene, Danguole ;
Bernatoniene, Jurga ;
Savickas, Arunas .
TECHNOLOGICAL AND ECONOMIC DEVELOPMENT OF ECONOMY, 2017, 23 (03) :483-503
[17]   The European Union possibilities to achieve targets of Europe 2020 and Paris agreement climate policy [J].
Liobikiene, Genovaite ;
Butkus, Mindaugas .
RENEWABLE ENERGY, 2017, 106 :298-309
[18]   Empirical Research on China's Carbon Productivity Decomposition Model Based on Multi-Dimensional Factors [J].
Lu, Jianchang ;
Fan, Weiguo ;
Meng, Ming .
ENERGIES, 2015, 8 (04) :3093-3117
[19]   A new LDMI decomposition approach to explain emission development in the EU: individual and set contribution [J].
Madaleno, Mara ;
Moutinho, Victor .
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2017, 24 (11) :10234-10257
[20]   Efficient allocation of CO2 emissions in China: a zero sum gains data envelopment model [J].
Miao, Zhuang ;
Geng, Yong ;
Sheng, Jichuan .
JOURNAL OF CLEANER PRODUCTION, 2016, 112 :4144-4150