VAR Analysis on Factors Affecting Carbon Emissions from Land Use in Guangdong

ZHANG Yu; JIANG Bo; ZHAO Yinghui

doi:10.19303/j.issn.1008-0384.2022.008.016

Volume 37 Issue 8

Aug. 2022

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ZHANG Y, JIANG B, ZHAO Y H. VAR Analysis on Factors Affecting Carbon Emissions from Land Use in Guangdong [J]. Fujian Journal of Agricultural Sciences，2022，37（8）：1100−1108 doi: 10.19303/j.issn.1008-0384.2022.008.016

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ZHANG Y, JIANG B, ZHAO Y H. VAR Analysis on Factors Affecting Carbon Emissions from Land Use in Guangdong [J]. Fujian Journal of Agricultural Sciences，2022，37（8）：1100−1108 doi: 10.19303/j.issn.1008-0384.2022.008.016

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VAR Analysis on Factors Affecting Carbon Emissions from Land Use in Guangdong

doi: 10.19303/j.issn.1008-0384.2022.008.016

School of Public Administration and Law, Northeast Agricultural University, Harbin, Heilongjiang　150030, China

Received Date: 2021-10-23
Accepted Date: 2021-10-23
Rev Recd Date: 2022-03-30

Available Online: 2022-05-21

Publish Date: 2022-08-28

Abstract

Abstract

Objective Factors that affected the carbon emissions from land use in Guangdong Province were analyzed for improved environmental management. Methods Based on the 1996-2017 statistics, a vector autoregression (VAR) model was constructed for the carbon emissions in Guangdong. Using Granger causality analysis, impulse response, and variance decomposition, the impact of land uses on the carbon emission in the province was quantitatively analyzed. Results In the past two decades, the overall carbon emission from varied land uses in the province was on an upward trend. The per capita GDP, land use intensity, and energy intensity positively, but the structures of land use and industry negatively, correlated with the carbon emission. The contribution rates of those factor ranked by magnitude were land use intensity＞industrial structure＞energy intensity＞per capita GDP＞land use structure. Conclusion It appeared that fostering transformation on energy structure and optimizing structure of land uses were the key maneuvers the province needs to consider in order to realize substantial reduction on carbon emission.
- Land use intensity,
- carbon emissions,
- economic growth,
- VAR,
- Guangdong Province

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References(26)

References

[1]	李键, 毛德华, 蒋子良, 等. 长株潭城市群土地利用碳排放因素分解及脱钩效应研究 [J]. 生态经济, 2019, 35(8):28−34,66. LI J, MAO D H, JIANG Z L, et al. Research on factors decomposition and decoupling effects of land use carbon emissions in Chang-Zhu-tan urban agglomeration [J]. Ecological Economy, 2019, 35(8): 28−34,66.(in Chinese)
[2]	STUIVER M. Atmospheric carbon dioxide and carbon reservoir changes [J]. Science, 1978, 199(4326): 253−258. doi: 10.1126/science.199.4326.253
[3]	CALANCA P, VUICHARD N, CAMPBELL C, et al. Simulating the fluxes of CO₂ and N₂O in European grasslands with the pasture simulation model (PaSim) [J]. Agriculture, Ecosystems & Environment, 2007, 121(1/2): 164−174.
[4]	HOUGHTON R A. Magnitude, distribution and causes of terrestrial carbon sinks and some implications for policy [J]. Climate Policy, 2002, 2(1): 71−88. doi: 10.3763/cpol.2002.0206
[5]	ALI G, PUMIJUMNONG N, CUI S H. Valuation and validation of carbon sources and sinks through land cover/use change analysis: The case of Bangkok metropolitan area [J]. Land Use Policy, 2018, 70: 471−478. doi: 10.1016/j.landusepol.2017.11.003
[6]	CAO W, YUAN X. Region-County characteristic of spatial-temporal evolution and influencing factor on land use-related CO₂ emissions in Chongqing of China, 1997-2015 [J]. Journal of Cleaner Production, 2019, 231: 619−632. doi: 10.1016/j.jclepro.2019.05.248
[7]	方精云, 郭兆迪, 朴世龙, 等. 1981—2000年中国陆地植被碳汇的估算 [J]. 中国科学(D辑:地球科学), 2007, 37(6):804−812. FANG J Y, GUO Z D, PIAO S L, et al. Estimation of carbon sink of Terrestrial vegetation in China from 1981 to 2000 [J]. Science in China (Series D:Earth Sciences), 2007, 37(6): 804−812.(in Chinese)
[8]	葛全胜, 戴君虎, 何凡能, 等. 过去300年中国土地利用、土地覆被变化与碳循环研究 [J]. 中国科学(D辑:地球科学), 2008, 38(2):197−210. GE Q S, DAI J H, HE F N, et al. Land use, land cover change and carbon cycle in China during the past 300 years [J]. Science in China (Series D:Earth Sciences), 2008, 38(2): 197−210.(in Chinese)
[9]	KAUPPI P E, AUSUBEL J H, FANG J Y, et al. Returning forests analyzed with the forest identity [J]. PNAS, 2006, 103(46): 17574−17579. doi: 10.1073/pnas.0608343103
[10]	李颖, 黄贤金, 甄峰. 江苏省区域不同土地利用方式的碳排放效应分析 [J]. 农业工程学报, 2008, 24(S2):102−107. LI Y, HUANG X J, ZHEN F. Effects of land use patterns on carbon emission in Jiangsu Province [J]. Transactions of the Chinese Society of Agricultural Engineering, 2008, 24(S2): 102−107.(in Chinese)
[11]	潘岳, 朱继业, 叶懿安. 江苏省碳排放影响驱动因素分析: 基于STIRPAT模型 [J]. 环境污染与防治, 2014, 36(12):104−109. doi: 10.3969/j.issn.1001-3865.2014.12.022 PAN Y, ZHU J Y, YE Y A. Analysis of the driving influence factors of carbon emission in Jiangsu Province based on STIRPAT model [J]. Environmental Pollution & Control, 2014, 36(12): 104−109.(in Chinese) doi: 10.3969/j.issn.1001-3865.2014.12.022
[12]	李建豹, 黄贤金, 揣小伟, 等. 长三角地区碳排放效率时空特征及影响因素分析 [J]. 长江流域资源与环境, 2020, 29(7):1486−1496. LI J B, HUANG X J, CHUAI X W, et al. Spatio-temporal characteristics and influencing factors of carbon emissions efficiency in the Yangtze River Delta region [J]. Resources and Environment in the Yangtze Basin, 2020, 29(7): 1486−1496.(in Chinese)
[13]	吴长兰, 王东, 苏彦涛. 广东省市域碳排放时空分异特征及影响因素: 基于EDGAR数据的分析 [J]. 地域研究与开发, 2020, 39(1):127−132,151. doi: 10.3969/j.issn.1003-2363.2020.01.023 WU Z L, WANG D, SU Y T. Study on spatial-temporal variation and influencing factors of urban carbon emissions in Guangdong Province based on EDGAR data [J]. Areal Research and Development, 2020, 39(1): 127−132,151.(in Chinese) doi: 10.3969/j.issn.1003-2363.2020.01.023
[14]	刘伟玲, 张林波, 龚斌, 等. 深圳市土地利用碳排放环境库兹涅茨曲线协整分析 [J]. 水土保持研究, 2013, 20(4):172−178,2. LIU W L, ZHANG L B, GONG B, et al. Co-integration analysis-based environmental kuznets curve of carbon emission from land use in Shenzhen City [J]. Research of Soil and Water Conservation, 2013, 20(4): 172−178,2.(in Chinese)
[15]	赵哲, 陈建成, 白羽萍, 等. 二氧化碳排放与经济增长关系的实证分析 [J]. 中国环境科学, 2018, 38(7):2785−2793. doi: 10.3969/j.issn.1000-6923.2018.07.052 ZHAO Z, CHEN J C, BAI Y P, et al. The empirical analysis of the relationship between carbon dioxide emissions and economic growth [J]. China Environmental Science, 2018, 38(7): 2785−2793.(in Chinese) doi: 10.3969/j.issn.1000-6923.2018.07.052
[16]	WU Y Z, SHEN J H, ZHANG X L, et al. The impact of urbanization on carbon emissions in developing countries: A Chinese study based on the U-Kaya method [J]. Journal of Cleaner Production, 2016, 135: 589−603. doi: 10.1016/j.jclepro.2016.06.121
[17]	田中华, 杨泽亮, 蔡睿贤. 广东省能源消费碳排放分析及碳排放强度影响因素研究 [J]. 中国环境科学, 2015, 35(6):1885−1891. doi: 10.3969/j.issn.1000-6923.2015.06.035 TIAN Z H, YANG Z L, CAI R X. Analysis of Guangdong carbon emissions from energy consumption and the driving factors of its intensity change [J]. China Environmental Science, 2015, 35(6): 1885−1891.(in Chinese) doi: 10.3969/j.issn.1000-6923.2015.06.035
[18]	周纳, 董璐, 陈黎明. 碳排放、经济增长与可持续发展关系的实证 [J]. 统计与决策, 2019, 35(18):130−134. ZHOU N, DONG L, CHEN L M. Empirical study on the relationship between carbon emission, economic growth and sustainable development [J]. Statistics & Decision, 2019, 35(18): 130−134.(in Chinese)
[19]	王仲瑀. 京津冀地区能源消费、碳排放与经济增长关系实证研究 [J]. 工业技术经济, 2017, 36(1):82−92. doi: 10.3969/j.issn.1004-910X.2017.01.011 WANG Z Y. The empirical study on the relationship between energy consumption, carbon emissions and economic growth in Beijing-Tianjin-Hebei [J]. Journal of Industrial Technological & Economics, 2017, 36(1): 82−92.(in Chinese) doi: 10.3969/j.issn.1004-910X.2017.01.011
[20]	师应来, 胡晟明. 技术进步、经济增长对二氧化碳排放的动态分析 [J]. 统计与决策, 2017(16):149−151. SHI Y L, HU S M. Dynamic analysis of technological progress and economic growth on carbon dioxide emission [J]. Statistics and Decision, 2017(16): 149−151.(in Chinese)
[21]	杨国清, 朱文锐, 文雅, 等. 20年来广东省土地利用碳排放强度与效率空间分异研究 [J]. 生态环境学报, 2019, 28(2):332−340. YANG G Q, ZHU W R, WEN Y, et al. Spatial differentiation in the intensity and efficiency of carbon emission from land use in Guangdong Province in past two decades [J]. Ecology and Environmental Sciences, 2019, 28(2): 332−340.(in Chinese)
[22]	卢敏, 严会超, 胡武贤, 等. 广东省不同土地利用方式与碳排放规律分析 [J]. 广东农业科学, 2012, 39(7):1−5,9. doi: 10.3969/j.issn.1004-874X.2012.07.001 LU M, YAN H C, HU W X, et al. Analyze on the rule of carbon emission of different land use patterns in Guangdong Province [J]. Guangdong Agricultural Sciences, 2012, 39(7): 1−5,9.(in Chinese) doi: 10.3969/j.issn.1004-874X.2012.07.001
[23]	陈芷君, 刘毅华, 林华荣. 广东省土地利用碳排放与经济增长之间的脱钩分析 [J]. 生态经济, 2018, 34(5):26−32. CHEN Z J, LIU Y H, LIN H R. Decoupling analysis of land-use carbon emissions and economic development in Guangdong Province [J]. Ecological Economy, 2018, 34(5): 26−32.(in Chinese)
[24]	李玉玲, 李世平, 祁静静. 陕西省土地利用碳排放影响因素及脱钩效应分析 [J]. 水土保持研究, 2018, 25(1):382−390. LI Y L, LI S P, QI J J. Influencing factors on carbon emissions of land uses and analysis of their decoupling effects in Shaanxi Province [J]. Research of Soil and Water Conservation, 2018, 25(1): 382−390.(in Chinese)
[25]	张苗, 陈银蓉, 程道平, 等. 土地利用结构和强度变化对碳排放影响分析 [J]. 资源开发与市场, 2018, 34(5):624−628,675. doi: 10.3969/j.issn.1005-8141.2018.05.006 ZHANG M, CHEN Y R, CHENG D P, et al. Research on influences of land use structure and intensity change on carbon emissions [J]. Resource Development & Market, 2018, 34(5): 624−628,675.(in Chinese) doi: 10.3969/j.issn.1005-8141.2018.05.006
[26]	樊高源, 杨俊孝. 土地利用结构、经济发展与土地碳排放影响效应研究: 以乌鲁木齐市为例 [J]. 中国农业资源与区划, 2017, 38(10):177−184. doi: 10.7621/cjarrp.1005-9121.20171024 FAN G Y, YANG J X. Study on effect of land use structure, economic development and land carbon emission—a case study of Urumqi [J]. Chinese Journal of Agricultural Resources and Regional Planning, 2017, 38(10): 177−184.(in Chinese) doi: 10.7621/cjarrp.1005-9121.20171024