Please wait a minute...
Journal of Integrative Agriculture  2014, Vol. 13 Issue (6): 1393-1403    DOI: 10.1016/S2095-3119(13)60624-3
Agricultural Economics And Management Advanced Online Publication | Current Issue | Archive | Adv Search |
Research on Spatial-Temporal Characteristics and Driving Factor of Agricultural Carbon Emissions in China
 TIAN Yun, ZHANG Jun-biao, HE Ya-ya
1、College of Economics & Management, Huazhong Agricultural University, Wuhan 430070, P.R.China
2、Hubei Rural Development Research Center, Huazhong Agricultural University, Wuhan 430070, P.R.China
Download:  PDF in ScienceDirect  
Export:  BibTeX | EndNote (RIS)      
摘要  Macroscopic grasp of agricultural carbon emissions status, spatial-temporal characteristics as well as driving factors are the basic premise in further research on China’s agricultural carbon emissions. Based on 23 kinds of major carbon emission sources including agricultural materials inputs, paddy field, soil and livestock breeding, this paper firstly calculated agricultural carbon emissions from 1995 to 2010, as well as 31 provinces and cities in 2010 in China. We then made a decomposed analysis to the driving factors of carbon emissions with logarithmic mean Divisia index (LMDI) model. The results show: (1) The amount of agricultural carbon emissions is 291.1691 million t in 2010. Compared with 249.5239 million t in 1995, it increased by 16.69%, in which, agricultural materials inputs, paddy field, soil, enteric fermentation, and manure management accounted for 33.59, 22.03, 7.46, 17.53 and 19.39% of total agricultural carbon emissions, respectively. Although the amount exist ups and downs, it shows an overall trend of cyclical rise; (2) There is an obvious difference among regions: the amount of agricultural carbon emissions from top ten zones account for 56.68%, while 9.84 % from last 10 zones. The traditional agricultural provinces, especially the major crop production areas are the main source regions. Based on the differences of carbon emission rations, 31 provinces and cities are divided into five types, namely agricultural materials dominant type, paddy field dominant type, enteric fermentation dominant type, composite factors dominant type and balanced type. The agricultural carbon emissions intensity in west of China is the highest, followed by the central region, and the east zone is the lowest; (3) Compared with 1995, efficiency, labor and structure factors cut down carbon emissions by 65.78, 27.51 and 3.19%, respectively; while economy factor increase carbon emissions by 113.16%.

Abstract  Macroscopic grasp of agricultural carbon emissions status, spatial-temporal characteristics as well as driving factors are the basic premise in further research on China’s agricultural carbon emissions. Based on 23 kinds of major carbon emission sources including agricultural materials inputs, paddy field, soil and livestock breeding, this paper firstly calculated agricultural carbon emissions from 1995 to 2010, as well as 31 provinces and cities in 2010 in China. We then made a decomposed analysis to the driving factors of carbon emissions with logarithmic mean Divisia index (LMDI) model. The results show: (1) The amount of agricultural carbon emissions is 291.1691 million t in 2010. Compared with 249.5239 million t in 1995, it increased by 16.69%, in which, agricultural materials inputs, paddy field, soil, enteric fermentation, and manure management accounted for 33.59, 22.03, 7.46, 17.53 and 19.39% of total agricultural carbon emissions, respectively. Although the amount exist ups and downs, it shows an overall trend of cyclical rise; (2) There is an obvious difference among regions: the amount of agricultural carbon emissions from top ten zones account for 56.68%, while 9.84 % from last 10 zones. The traditional agricultural provinces, especially the major crop production areas are the main source regions. Based on the differences of carbon emission rations, 31 provinces and cities are divided into five types, namely agricultural materials dominant type, paddy field dominant type, enteric fermentation dominant type, composite factors dominant type and balanced type. The agricultural carbon emissions intensity in west of China is the highest, followed by the central region, and the east zone is the lowest; (3) Compared with 1995, efficiency, labor and structure factors cut down carbon emissions by 65.78, 27.51 and 3.19%, respectively; while economy factor increase carbon emissions by 113.16%.
Keywords:  China       agricultural carbon emissions       spatial-temporal characteristics       driving factor       LMDI model  
Received: 15 April 2013   Accepted:
Fund: 

This work was supported by the National Natural Science Foundation of China (71273105) and the Fundamental Research Funds for the Central Universities, China (2013YB12). Any errors and all views expressed remain our own.

Corresponding Authors:  ZHANG Jun-biao, Tel: +86-27-87288381, E-mail: zhangjb513@126.com     E-mail:  zhangjb513@126.com
About author:  TIAN Yun, E-mail: tianyun1986@163.com

Cite this article: 

TIAN Yun, ZHANG Jun-biao, HE Ya-ya. 2014. Research on Spatial-Temporal Characteristics and Driving Factor of Agricultural Carbon Emissions in China. Journal of Integrative Agriculture, 13(6): 1393-1403.

Arevalo C, Bhatti J S. 2011. Land use change effectson ecosystem carbon balance: From agricultural tohybrid poplar plantation. Agriculture, Ecosystems andEnvironment, 141, 342-349

Bracmort K. 2010. Nitrous oxide from agricultural sources:Potential role in greenhouse gas emission reduction andozone recover. Congressional Research Service, 1, 1-9

Burney J A, Davis S J, Lobell D B. 2010. Greenhouse gasmitigation by agricultural intensification. Proceedings ofthe National Academy of Sciences of the United States ofAmerica, 107, 12052-12057

Chen L, Yan M, Pan G X. 2011. Evaluation of the carbonfootprint of greenhouse vegetable production based onquestionnaire survey from Nanjing, China. Journal ofAgro-Environment Science, 30 1791-1796 (in Chinese)

Duan H P, Zhang Y, Zhao J B, Bian X M. 2011. Carbonfootprint analysis of farmland ecosystem in China. Journalof Soil and Water Conservation, 25, 203-208 (in Chinese)

Gillian L G, Jerry M M. 2011. Historical carbon emissionsand uptake from the agricultural frontier of the BrazilianAmazon. Ecological Applications, 21, 50-763

Gomiero T, Paoletti M G, Pimentel D. 2008. Energy andenvironmental issues in organic and conventionalagriculture. Critical Reviews in Plant Sciences, 27, 239-254

IPCC. 2007. Climate Change 2007: Mitigation of ClimateChange: Contribution of Working Group III to the FourthAssessment Report of the Intergovernmental Panel onClimate Change. Cambridge University Press, Cambridge,United Kingdom and New York. pp. 325-467

Johnson J M F. 2007. Agricultural opportunities to mitigategreenhouse gas emissions. Environmental Pollution, 150,107-124

Joseph F, Hill J, David T, Stephen P, Peter H. 2008. Landclearing and the biofuel carbon debt. Science, 319, 1235-1238

Kragt M E, Pannell D J, Robertson M J, Thamo T. 2012.Assessing costs of soil carbon sequestration by croplivestockfarmers in Western Australia. AgriculturalSystems, 112, 27-37

Lal R. 2004. Carbon emission from farm operations.Environment International, 30, 981-990

Li G Z, Li Z Z. 2010. Empirical research on factordecomposition of carbon emissions resulted fromagricultural energy consumption. Journal of AgrotechnicalEconomics, 29, 66-72 (in Chinese)

Liu L H, Fan Y, Wu G. 2007. Using LMDI method to analyzethe change of China’s industrial CO2 emissions from finalfuel use: An empirical analysis. Energy, 35, 5892-5900

Mccarl B A, Schneider U A. 2000. U.S. agriculture’s role in agreenhouse gas emission mitigation world: An economicperspective. Review of Agricultural Economics, 22, 134-159

Min J S, Hu H. 2012. Calculation of greenhouse gases emissionfrom agricultural production in China. China Population, Resources and Environment, 22, 21-27 (in Chinese)

MOA of PRC (Ministry of Agriculture of the People’sRepublic of China). 2011. China Agriculture StatisticalReport 2010. China Agriculture Press, Beijing, China.pp.14-76 (in Chinese)

NBS of PRC (National Bureau of Statistics of People’sRepublic of China). 2011. China Statistical Yearbook2011. China Statistics Press, Beijing, China. pp. 457-496(in Chinese)

Pang J Z Wang X K, Mu Y J, Zhang H X, Liu W Z. 2011.Nitrous oxide emissions from winter wheat field in theLoess Plateau. Acta Ecologica Sinica, 31, 1896-1903 (inChinese)

Paustian K, Six J, Elliott E T, Hunt H W. 2000. Managementoptions for reducing CO2 emissions from agricultural soils.Biogeochemistry, 48, 147-163

Peters M, House R, Lewandrowski J, Mcdowell H. 2001.Economic impacts of carbon charges on U.S. agriculture.Climatic Change, 50, 445-473

Qi Y C, Dong Y S. 1999. Nitrous oxide emissions from soiland some influence factors. Acta Geographica Sinica, 54,534-542 (in Chinese)

Qiu W H, Liu J S, Hu C X, Zhao C S, Sun X C, Tan Q L.2010. Comparison of nitrous oxide emission from bare soiland planted vegetable soil. Ecology and EnvironmentalSciences, 19, 2982-2985 (in Chinese)

RSEID of NBS of PRC (Rural Society and EconomyInvestigation Division of National Bureau of Statistics ofPeople’s Republic of China). 2011. China Rural StatisticalYearbook 2011. China Statistics Press, Beijing, China. pp.27-137 (in Chinese)

Steenblik R, Moise E. 2010. Counting the carbon emissionsfrom agricultural products: Technical complexities andtrade implications. [2012-12-24] http://www.agritrade.org

Song D Y, Lu Z B. 2009. The factor decomposition andperiodic fluctuations of carbon emission in China. ChinaPopulation Resources and Environment, 19, 18-24 (inChinese)

Tasman P L. 2009. Agriculture and GHG Mitigation Policy:Options in Addition to the CPRS. Industry & InvestmentNSW, New South Wales.

Tian Y, Li B, Zhang J B. 2011a. Research on stagecharacteristics and factor decomposition of agriculturalland carbon emission in China. Journal of China Universityof Geosciences (Social Sciences Edition), 11, 59-63 (inChinese)

Tian Y, Li B, Zhang J B. 2011b. Research on spatialtemporalcharacteristics and factor decomposition ofagricultural carbon emission based on input angle-takingHubei province for example. Research of AgriculturalModernization, 32, 752-755 (in Chinese)

Wang C, Chen J, Zou J. 2005. Decomposition of energy-relatedCO2 emission in China: 1957-2000 Energy, 30, 73-83

Wang M X, Li J, Zheng X H. 1998. Methane emissionand mechanisms of methane production, oxidation,transportation in the rice fields. Chinese Journal ofAtmospheric Sciences, 22, 600-610 (in Chinese)

Wang S B, Su W H. 1993. Estimation of nitrous oxide emissionand its future change in China. Environmental Science, 14,42-46 (in Chinese)

Wang Z P. 1997. Estimation of nitrous oxide emissionof farmland in China. Journal of Ecology and RuralEnvironment, 13, 51-55 (in Chinese)

Wise M, Calvin K, Thomson A. 2009. Implications of limitingCO2 concentrations for land use and energy. Science, 324,1183-1186

Xiong Z Q, Xing G Xi, He T, Shi S L, Shen G Y, Tu L J, QianW. 2002. The effects of summer legume crop cultivationon nitrous oxide emissions from upland farmland. ScientiaAgricultura Sinica, 35, 1104-1108 (in Chinese)

Yu K W, Chen G X, Yang S J. 1995. Role of several uplandcrops in N2O emission from farmland and its response.Chinese Journal of Applied Ecology, 6, 387-391 (inChinese)

Zaman K, Khan M M, Ahmad M, Khilji B A. 2012. Therelationship between agricultural technologies and carbonemissions in Pakistan: Peril and promise. EconomicModelling, 29, 1632-1639

Zhang X M, Li S F, Huang X J, Li Y. 2010. Effects of carbonemissions and their spatio-temporal patterns in Jiangsuprovince from 1996 to 2007. Resources Science, 32, 768-775 (in Chinese)

Zhao Q G, Qian H Y. 2009. Low carbon economy and thinkingof agricultural development. Ecology and EnvironmentalSciences, 18, 1609-1614 (in Chinese)

Zhao W J, Li D F, Wang X E. 2010. The development ideasof low-carbon agriculture. Environmental Protection, 24,38-39 (in Chinese)

Zhi J, Gao J X. 2009. Analysis of carbon emission caused byfood consumption in urban and rural inhabitants in China.Progress in Geography, 28, 429-434 (in Chinese)

Zhou J B, Jiang M M, Chen G Q. 2007. Estimation of methaneand nitrous oxide emission from livestock and poultry inChina during 1949-2003 Energy Policy, 35, 3759-3767
[1] Libin Liang, Yaning Bai, Wenyan Huang, Pengfei Ren, Xing Li, Dou Wang, Yuhan Yang, Zhen Gao, Jiao Tang, Xingchen Wu, Shimin Gao, Yanna Guo, Mingming Hu, Zhiwei Wang, Zhongbing Wang, Haili Ma, Junping Li. Genetic and biological properties of H9N2 avian influenza viruses isolated in central China from 2020 to 2022[J]. >Journal of Integrative Agriculture, 2024, 23(8): 2778-2791.
[2] Xuan Li, Shaowen Wang, Yifan Chen, Danwen Zhang, Shanshan Yang, Jingwen Wang, Jiahua Zhang, Yun Bai, Sha Zhang.

Improved simulation of winter wheat yield in North China Plain by using PRYM-Wheat integrated dry matter distribution coefficient [J]. >Journal of Integrative Agriculture, 2024, 23(4): 1381-1392.

[3] Dian Chen, Xiangming Fang, Yu Chen, Xiaodong Zheng, Zhuo Chen, Rodney B.W. Smith.

The impact of the Rural Minimum Living Standard Guarantee (Rural Dibao) Program on child nutrition outcomes [J]. >Journal of Integrative Agriculture, 2024, 23(2): 444-456.

[4] Yi Cui, Qiran Zhao, Thomas Glauben, Wei Si. The impact of Internet access on household dietary quality: Evidence from rural China[J]. >Journal of Integrative Agriculture, 2024, 23(2): 374-383.
[5] Xiao Han, Kaiyu Lyu, Fengying Nie, Yuquan Chen.

Resilience effects for household food expenditure and dietary diversity in rural western China [J]. >Journal of Integrative Agriculture, 2024, 23(2): 384-396.

[6] Jie Xue, Xianglin Zhang, Songchao Chen, Bifeng Hu, Nan Wang, Zhou Shi.

Quantifying the agreement and accuracy characteristics of four satellite-based LULC products for cropland classification in China [J]. >Journal of Integrative Agriculture, 2024, 23(1): 283-297.

[7] ZHANG Sha, YANG Shan-shan, WANG Jing-wen, WU Xi-fang, Malak HENCHIRI, Tehseen JAVED, ZHANG Jia-hua, BAI Yun. Integrating a novel irrigation approximation method with a process-based remote sensing model to estimate multi-years' winter wheat yield over the North China Plain[J]. >Journal of Integrative Agriculture, 2023, 22(9): 2865-2881.
[8] LI Dong-qing, ZHANG Ming-xue, LÜ Xin-xin, HOU Ling-ling. Does nature-based solution sustain grassland quality? Evidence from rotational grazing practice in China[J]. >Journal of Integrative Agriculture, 2023, 22(8): 2567-2576.
[9] YU Wen-jia, LI Hai-gang, Peteh M. NKEBIWE, YANG Xue-yun, GUO Da-yong, LI Cui-lan, ZHU Yi-yong, XIAO Jing-xiu, LI Guo-hua, SUN Zhi, Torsten MÜLLER, SHEN Jian-bo. Combining rhizosphere and soil-based P management decreased the P fertilizer demand of China by more than half based on LePA model simulations[J]. >Journal of Integrative Agriculture, 2023, 22(8): 2509-2520.
[10] YANG Rui, XU Hang. Water diversion and agricultural production: Evidence from China[J]. >Journal of Integrative Agriculture, 2023, 22(4): 1244-1257.
[11] HOU Jing, ZHOU Li, Jennifer IFFT, YING Rui-yao. The role of time preferences in contract breach: Evidence from Chinese poultry farmers participating in contract farming[J]. >Journal of Integrative Agriculture, 2023, 22(2): 623-641.
[12] SHI Peng-fei, HUANG Ji-kun. Rural transformation, income growth, and poverty reduction by region in China in the past four decades[J]. >Journal of Integrative Agriculture, 2023, 22(12): 3582-3595.
[13] YANG Xu, ZHANG Jia-hua, YANG Shan-shan, WANG Jing-wen, BAI Yun, ZHANG Sha. Modelling the crop yield gap with a remote sensing-based process model: A case study of winter wheat in the North China Plain[J]. >Journal of Integrative Agriculture, 2023, 22(10): 2993-3005.
[14] SUN Tao, TONG Wen-jie, CHANG Nai-jie, DENG Ai-xing, LIN Zhong-long, FENG Xing-bing, LI Jun-ying, SONG Zhen-wei. Estimation of soil organic carbon stock and its controlling factors in cropland of Yunnan Province, China[J]. >Journal of Integrative Agriculture, 2022, 21(5): 1475-1487.
[15] FENG Lu, CHI Bao-jie, DONG He-zhong. Cotton cultivation technology with Chinese characteristics has driven the 70-year development of cotton production in China[J]. >Journal of Integrative Agriculture, 2022, 21(3): 597-609.
No Suggested Reading articles found!