TEMPORAL-SPATIAL ANALYSIS AND OPTIMIZATION STRATEGIES OF HIDDEN CARBON EMISSION OF SHANXI CROSS-PROVINCIAL TRADE

doi:10.13776/j.cnki.resourcesindustries.20231219.003

Abstract

Abstract:

Hidden carbon emission in cross-provincial trade has vital impacts on regional gross carbon emission and coordinated development, a key factor needed to be considered when planning carbon trade and reaching “carbon peaking” and “carbon neutralization” objectives. This paper uses multiple regional input/output model on hidden carbon in cross-provincial trade and China’s 2012 and 2017 input/output data to study the temporal-spatial changes of hidden carbon emission of Shanxi cross-provincial trade, and employes carbon-transferring-responsibility-sharing to estimate Shanxi’s responsibilities in hidden carbon emission amid its cross-provincial trade, and applies structural method to analyze the factors impacting hidden carbon emission changes in Shanxi’s cross-provincial trade. Shanxi’s net-transferred-in hidden carbon emission has increased by 12.490 kt during 2012 to 2017, while its net-transferred-in provinces numbers dropped to 25 from 28. Those having less net-transferred-out are concentrating in northwestern and southwestern China. Structural analysis suggests scaling effect be the leading factor increasing transferred-in and -out of Shanxi’s hidden carbon emission. This paper presents suggestions on optimizing Shanxi’s hidden carbon emission policies of its cross-provincial trade.

Key words: hidden carbon emission, multiple regional input/out, carbon transfer, cross-provincial trade

摘要： 省际贸易中的隐含碳排放对地区碳排放总量以及各地区协调发展具有重要影响，是地区制定碳交易方案以及推动“碳达峰”“碳中和”目标时应考虑的因素。文章通过构建多区域投入产出模型的省际贸易隐含碳分析框架，并基于中国2012年、2017年的投入产出数据，对山西省际贸易隐含碳排放量的时空变化进行了分析，并通过碳转移责任分担测算方法计算了山西省在省际贸易隐含碳排放中应当承担的碳排放责任，最后通过结构分析方法研究了山西省际贸易中影响隐含碳排放变化的驱动因素。结果表明：1）2012—2017年，山西省隐含碳排放净调出量增加了1.249万t，山西省隐含碳净调出省份数量从28个下降到25个，隐含碳净调出量较少的省份仍然集中在西北、西南地区；2）结构分解分析结果表示规模效应是导致山西省隐含碳调出和调入量增加的主要因素。根据研究结果提出优化山西省际贸易隐含碳排放政策建议。

关键词: 隐含碳排放, 多区域投入产出, 碳转移, 省际贸易

CLC Number:

F205

LIANG Jinghua. TEMPORAL-SPATIAL ANALYSIS AND OPTIMIZATION STRATEGIES OF HIDDEN CARBON EMISSION OF SHANXI CROSS-PROVINCIAL TRADE[J]. Resources & Industries, 2024, 26(1): 173-181.

梁荆花. 山西省省际贸易隐含碳排放时空分析及优化策略[J]. 资源与产业, 2024, 26(1): 173-181.

References

崔盼盼, 张艳平, 张丽君, 等, 2018. 中国省域隐含碳排放及其驱动机理时空演变分析[J]. 自然资源学报, 33(5): 879-892.〔CUI P P, ZHANG Y P, ZHANG L J, et al., 2018. Analysis on the spatial and temporal evolution of indirect carbon emissions and its driving mechanism in China[J]. Journal of Natural Resources, 33(5): 879-892.〕

崔盼盼, 赵媛, 张丽君, 等, 2020. 基于不同需求层次的中国城镇居民消费隐含碳排放时空演变机制[J]. 生态学报, 40(4): 1424-1435.〔CUI P P, ZHAO Y, ZHANG L J, et al., 2020. Spatio-temporal evolution and driving mechanism of per capita indirect carbon emissions based on different demand levels from urban residents’ consumption in China[J]. Acta Ecologica Sinica, 40(4): 1424-1435.〕

丁浩, 张晋, 刘建林, 等, 2023. 基于投入产出分析的广东贸易隐含碳排放研究[J], 环境化学, 42(1): 231-240.〔DING H, ZHANG J, LIU J L, et al., 2023. Input-output analysis on regional trade embodied carbon emissions of Guangdong province[J]. Environmental Chemistry, 42(1): 231-240.〕

付坤, 齐绍洲, 2014. 中国省级电力碳排放责任核算方法及应用[J]. 中国人口·资源与环境, 24(4): 27-34.〔FU K, QI S Z, 2014. Accounting method and its application of provincial electricity CO₂ emissions responsibility[J]. China Population, Resources and Environment, 24(4): 27-34.〕

蒋雪梅, 郑可馨, 2019. 京津冀地区间贸易隐含碳排放转移研究[J]. 地域研究与开发, 38(6): 126-130,135.〔JIANG X M, ZHENG K X, 2019. The embodied CO₂ emissions transfer in Beijing-Tianjin-Hebei region[J]. Areal Research and Development, 38(6): 126-130,135.〕

康彦霞, 马忠, 2022. 黄河流域省区隐含碳排放及其碳转移研究[J]. 资源开发与市场, 38(8): 930-938.〔KANG Y X, MA Z, 2022. Embodied carbon emission and carbon transfer at the provincial level of the Yellow river basin[J]. Resource Development & Market, 38(8): 930-938.〕

李富佳, 2018. 区际贸易隐含碳排放转移研究进展与展望[J]. 地理科学进展, 37(10): 1303-1313.〔LI F J, 2018. Progress and prospects of research on transfer of carbon emissions embodied in inter-regional trade[J]. Progress in Geography, 37(10): 1303-1313.〕

刘晶茹, Peters G P, 王如松, 等, 2007. 综合生命周期分析在可持续消费研究中的应用[J]. 生态学报, 27(12): 5331-5336.〔LIU J R, PETERS G P, WANG R S, et al.,2007. Hybrid life-cycle analysis and its applications in sustainable consumption researches[J]. Acta Ecologica Sinica, 27(12): 5331-5336.〕

刘庆燕, 方恺, 丛建辉, 2019. 山西省贸易隐含碳排放的空间-产业转移及其影响因素研究:基于MRIO-SDA跨期方法[J]. 环境经济研究, 4(2): 44-57. 〔LIU Q Y, FANG K, CONG J H, 2019. The spatial-industrial transfer of carbon emissions embodied in inter-provincial trade and the influencing factors for Shanxi province: a MRIO-SDA study[J]. Journal of Environmental Economics, 37(10): 1303-1313.〕

罗芳, 郭艺, 魏文栋, 2020. 长江经济带碳排放与经济增长的脱钩关系:基于生产侧和消费侧视角[J]. 中国环境科学, 40(3): 1364-1373.〔LUO F, GUO Y, WEI W D, 2020. Decoupling analysis between economic growth and carbon emissions in the Yangtze river economic belt: production and consumption perspectives[J]. China Environmental Science, 40(3): 1364-1373.〕

马丽, 张博, 2019. 中国省际电力流动空间格局及其演变特征[J]. 自然资源学报, 34(2): 348-358.〔MA L, ZHANG B, 2019. The spatial distribution and evolution of interprovincial electricity flow in China[J]. Journal of Natural Resources, 34(2): 348-358.〕

齐晔, 李惠民, 徐明, 2008. 中国进出口贸易中的隐含碳估算[J]. 中国人口·资源与环境, 18(3): 8-13.〔QI Y, LI H M, XU M, 2008. Accounting embodied carbon in import and export in China[J]. China Population, Resources and Environment, 18(3): 8-13.〕

史俊晖, 戴小文, 2020. 我国省域农业隐含碳排放及其驱动因素时空动态分析[J]. 中国农业资源与区划, 41(8): 169-180.〔SHI J H, DAI X W, 2020. Spatial dynamics of agricultural embodied carbon emissions in provinces of China and the related driving factors[J]. Chinese Journal of Agricultural Resources and Regional Planning, 41(8): 169-180.〕

孙岩, 2021. 江苏省际间贸易隐含碳排放测算及结构分解[D]. 南京: 南京财经大学. 〔SUN Y, 2021. Research on calculation and structural decomposition of embodied carbon emission in inter-provincial trade of Jiangsu province[D]. Nanjing: Nanjing University of Finance & Economics.〕

童霞, 高申荣, 2022. 江苏省出口贸易隐含碳测算与影响因素分析[J]. 南通大学学报(社会科学版), 38(1): 38-46.〔TONG X, GAO S R, 2022. Implied carbon calculation in export trade in Jiangsu province and its analysis[J]. Journal of Nantong University(Social Sciences Edition), 38(1): 38-46.〕

王安静, 冯宗宪, 孟渤, 2017. 中国30省份的碳排放测算以及碳转移研究[J]. 数量经济技术经济研究, 34(8): 89-104.〔WANG A J, FENG Z X, MENG B, 2017. Measure of carbon emissions and carbon transfers in 30 provinces of China[J]. Journal of Quantitative & Technological Economics, 34(8): 89-104.〕

王保乾, 葛宇翔, 陈盼, 2019. 行业视角下中国对外贸易隐含碳排放研究[J]. 资源与产业, 21(4): 3-11.〔WANG B Q, GE Y X, CHEN P, 2019. Industrial views on hidden carbon emission of China’s external trading[J]. Resources & Industries, 21(4): 3-11.〕

王丽萍, 刘明浩, 2018. 基于投入产出法的中国物流业碳排放测算及影响因素研究[J]. 资源科学, 40(1): 195-206.〔WANG L P, LIU M H, 2018. Carbon emission measurement for China’s logistics industry and its influence factors based on input-output method[J]. Resources Science, 40(1): 195-206.〕

王文举, 陈真玲, 2019. 中国省级区域初始碳配额分配方案研究:基于责任与目标、公平与效率的视角[J]. 管理世界, 35(3): 81-98.

王喜莲, 金青, 2021. 碳中和背景下中国贸易隐含碳排放及责任分担[J]. 环境科学与技术, 44(11): 205-210.〔WANG X L, JIN Q, 2021. China’s trade embodied carbon emissions and shared responsibility under the background of carbon neutrality[J]. Environmental Science & Technology, 44(11): 205-210.〕

王莹, 成艳萍, 2018. 山西省对外贸易结构与产业结构关系的实证分析[J]. 经济问题(6): 124-129.〔WANG Y, CHENG Y P, 2018. An empirical test of the relationship between international trade structure and industrial structure in Shanxi province[J]. On Economic Problems(6): 124-129.〕

王育宝, 何宇鹏, 2021. 增加值视角下中国省域净碳转移权责分配[J]. 中国人口·资源与环境, 31(1): 15-25.〔WANG Y B, HE Y P, 2021. Responsibility allocation of China’s provincial net carbon transfer from the perspective of value-added[J].China Population, Resources and Environment, 31(1) : 15-25.〕

吴开尧, 杨廷干, 2016. 国际贸易碳转移的全球图景和时间演变[J]. 统计研究, 33(2): 43-50.〔WU K Y, YANG T G, 2016. Global picture and time evolution of international trade carbon transfer[J]. Statistical Research, 33(2): 43-50.〕

武娜, 沈镭, 钟帅, 等, 2019. 晋陕蒙能源富集区隐含的碳排放转移:基于投入产出模型的分析[J]. 资源与产业, 21(1): 32-38.〔WU N, SHEN L, ZHONG S, et al., 2019. Hidden carbon emission transfer in Shanxi-Shaanxi-Inner Monglia energy concentrating area based on input/output model[J]. Resources & Industries, 21(1): 32-38.〕

闫敏, 孙慧, 2022. 经济内循环视角下中国省域间隐含碳转移网络结构特征研究[J]. 生态经济, 38(2): 13-21.〔YAN M, SUN H, 2022. Research on the network structural characteristics of China’s provincial implicit carbon transfer from the perspective of economic internal circulation[J]. Ecological Economy, 38(2): 13-21.〕

闫云凤, 赵忠秀, 2012. 中国对外贸易隐含碳的测度研究:基于碳排放责任界定的视角[J]. 国际贸易问题(1): 131-142.〔YAN Y F, ZHAO Z X, 2012. CO₂ emissions embodied in China’s international trade: a perspective of allocating international responsibilities[J]. Journal of International Trade(1): 131-142.〕

杨青林, 赵荣钦, 罗慧丽, 等, 2022. 中国省际粮食贸易碳转移空间格局及其责任分担[J]. 农业工程学报, 38(16): 1-10.〔YANG Q L, ZHAO R Q, LUO H L, et al., 2022. Spatial pattern and responsibility sharing of carbon transfer in China’s inter-provincial grain trade[J]. Transactions of the Chinese Society of Agricultural Engineering, 38(16): 1-10.〕

张彬, 李丽平, 赵嘉, 等, 2021. 贸易隐含碳责任问题分析与驱动因素研究[J]. 城市与环境研究, 30(4): 61-75.〔ZHANG B, LI L P, ZHAO J, et al., 2021. Analysis on the responsibility of embodied carbon in trade and its driving force[J]. Urban and Environmental Studies, 30(4): 61-75.〕

赵慧卿, 郝枫, 2013. 中国区域碳减排责任分摊研究:基于共同环境责任视角[J]. 北京理工大学学报(社会科学版), 15(6): 27-32,38.〔ZHAO H Q, HAO F, 2013. Research on regional responsibility for carbon reduction in China: based on the common environment responsibility[J]. Journal of Beijing Institute of Technology (Social Sciences Edition), 15(6): 27-32,38.〕

周申蓓, 钱晨, 2019. 我国电力行业碳排放责任核算及碳排放权分配研究[J]. 资源与产业, 21(5): 63-69.〔ZHOU S B, QIAN C, 2019. Responsibility accounting and rights allocation of carbon emission in China’s power industry[J]. Resources & Industries, 21(5): 63-69.〕

TAO X P, WANG P, ZHU B Z, 2016. Measuring the Interprovincial CO₂ emissions considering electric power dispatching in China: from production and consumption perspectives[J]. Sustainability, 8(6): 506.

ZHENG H R, ZHANG Z K, WEI W D, et al., 2020. Regional determinants of China’s consumption: based emissions in the economic transition[J]. Environmental Research Letters, 15(7): 074001.