区域贸易视角下中国省域隐含土地流动研究

doi:10.11821/dlxb202205003

摘要/Abstract

摘要：

随着区域间的连通性不断增强,土地资源通过商品和服务贸易的间接使用在土地资源利用中扮演着越来越重要的作用,然而目前有关研究仍处于起步阶段,且研究成果十分匮乏。本文利用多区域投入产出模型,从区域贸易的视角核算了中国2012年30个省份和8大区域的隐含土地的使用情况,并进一步分析了隐含土地流动的空间格局特征。结果显示,中国区域间贸易所占据的隐含土地量占全国土地总量的21.39%,各省平均38.54%的土地需求是通过其他省份土地满足的,其中北京、天津和上海80%以上的土地资源消耗来自外省。黑龙江、内蒙古、新疆和河北分别是最大的耕地、林地和牧业用地、渔业用地和建设用地净流出省份（流出量占全省相应土地类型面积的42.26%、27.53%、38.66%和35.28%）,而广东、山东和浙江是主要的土地净流入省份。农业土地（耕地、林地、牧业用地及渔业用地）的流动总体上呈现由西向东和由北向南的趋势,东北和西北地区的农业用地流失规模最大,其主要流入华东和华南区域;此外,中国8.43%的耕地、7.47%的林地、6.41%的牧业用地、6.88%的渔业用地和18.35%的建设用地都通过国际贸易供给国外使用。本文的分析为解决中国土地利用与生态保护之间的矛盾及实现土地可持续发展提供可行的思路和理论基础。

关键词: 土地利用, 区域贸易, 隐含土地, 多地区投入产出模型, 隐含土地贸易

Abstract:

With the continuous enhancement of regional connectivity, the indirect land resources use through trade in goods and services plays an increasingly important role in the utilization of land resources. However, relevant research in this field is still in its infancy, and few papers have addressed this issue. This paper, for the first time, uses the multi-region input-output model to calculate the embodied land in the 30 provinces (autonomous regions and municipalities) and 8 regions of China from the perspective of regional trade, and further analyzes the spatial pattern characteristics of embodied land flows. The results show that the amount of embodied land occupied by China's inter-regional trade accounts for 21.39% of the country's total land, and an average of 38.54% of China's provincial land demand is met by land export from other provinces. More than 80% of land consumed by Beijing, Tianjin and Shanghai are from other provinces. Heilongjiang, Inner Mongolia, Xinjiang, and Hebei are the provinces with the largest net exporter of cultivated land, forest and grazing land and aquatic land, fishery land, and construction land, respectively (the outflows account for 42.26%, 27.53%, 38.66% and 35.28% of the corresponding land types in the province); and Guangdong, Shandong and Zhejiang are the main net importer. The flow of agricultural land (cultivated land, forestland, grazing land and aquatic land) mainly generally shows a shift from west to east and from north to south. The regions in northeast and northwest China have the largest scale of agricultural land outflow, mainly into East and South China. In addition, 8.43% of cultivated land, 7.47% of forestland, 6.41% of grazing land, 6.88% of aquatic land and 18.35% of built-up land in China are provided for foreign use through international trade. This paper provides feasible ideas and a theoretical basis for solving the contradiction between land use and ecological protection, and realizing sustainable land use in China.

Key words: land use, embodied land, multi-regional input-output model, land embodied in interregional trade

王少剑, 王婕妤. 区域贸易视角下中国省域隐含土地流动研究[J]. 地理学报, 2022, 77(5): 1072-1085.

WANG Shaojian, WANG Jieyu. Embodied land in China's provinces from the perspective of regional trade[J]. Acta Geographica Sinica, 2022, 77(5): 1072-1085.

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参考文献 37

[1]	Long Hualou, Zhang Yingnan, Tu Shuangshuang. Land consolidation and rural vitalization. Acta Geographica Sinica, 2018, 73(10): 1837-1849. doi: 10.11821/dlxb201810002
	[龙花楼, 张英男, 屠爽爽. 论土地整治与乡村振兴. 地理学报, 2018, 73(10): 1837-1849.] doi: 10.11821/dlxb201810002
[2]	Guo S, Shen G Q, Chen Z M, et al. Embodied cultivated land use in China 1987-2007. Ecological Indicators, 2014, 47: 198-209. doi: 10.1016/j.ecolind.2014.05.019
[3]	Qiang W L, Liu A M, Cheng S K, et al. Agricultural trade and virtual land use: The case of China's crop trade. Land Use Policy, 2013, 33: 141-150. doi: 10.1016/j.landusepol.2012.12.017
[4]	Chen G Q, Han M Y. Global supply chain of arable land use: Production-based and consumption-based trade imbalance. Land Use Policy, 2015, 49: 118-130. doi: 10.1016/j.landusepol.2015.07.023
[5]	Chen Y M, Li X, Liu X P, et al. Quantifying the teleconnections between local consumption and domestic land uses in China. Landscape and Urban Planning, 2019, 187: 60-69. doi: 10.1016/j.landurbplan.2019.03.011
[6]	Liu Jiyuan, Ning Jia, Kuang Wenhui, et al. Spatio-temporal patterns and characteristics of land-use change in China during 2010-2015. Acta Geographica Sinica, 2018, 73(5): 789-802. doi: 10.11821/dlxb201805001
	[刘纪远, 宁佳, 匡文慧, 等. 2010-2015年中国土地利用变化的时空格局与新特征. 地理学报, 2018, 73(5): 789-802.] doi: 10.11821/dlxb201805001
[7]	Wichelns D. The role of "virtual water" in efforts to achieve food security and other national goals, with an example from Egypt. Agricultural Water Management, 2001, 49(2): 131-151. doi: 10.1016/S0378-3774(00)00134-7
[8]	Yu Y, Feng K S, Hubacek K. Tele-connecting local consumption to global land use. Global Environmental Change:Human and Policy Dimensions, 2013, 23(5): 1178-1186. doi: 10.1016/j.gloenvcha.2013.04.006
[9]	Luo Zhenli. Exploring the sustainable use management of regional land resources based on the virtual land perspective. Land & Resources Herald, 2006, 3(2): 17-20.
	[罗贞礼. 基于虚拟土视角下区域土地资源的可持续利用管理探讨. 国土资源导刊, 2006, 3(2): 17-20.]
[10]	Kissinger M, Rees W E. Importing terrestrial biocapacity: The US case and global implications. Land Use Policy, 2010, 27(2): 589-599.
[11]	Vivanco D F, Sprecher B, Hertwich E. Scarcity-weighted global land and metal footprints. Ecological Indicators, 2017, 83: 323-327. doi: 10.1016/j.ecolind.2017.08.004
[12]	Weinzettel J, Hertwich E G, Peters G P, et al. Affluence drives the global displacement of land use. Global Environmental Change: Human and Policy Dimensions, 2013, 23(2): 433-438. doi: 10.1016/j.gloenvcha.2012.12.010
[13]	Han M Y, Chen G Q. Global arable land transfers embodied in Mainland China's foreign trade. Land Use Policy, 2018, 70: 521-534. doi: 10.1016/j.landusepol.2017.07.022
[14]	O'Brien M, Schütz H, Bringezu S. The land footprint of the EU bioeconomy: Monitoring tools, gaps and needs. Land Use Policy, 2015, 47: 235-246. doi: 10.1016/j.landusepol.2015.04.012
[15]	Chen G Q, Han M Y. Virtual land use change in China 2002-2010: Internal transition and trade imbalance. Land Use Policy, 2015, 47: 55-65. doi: 10.1016/j.landusepol.2015.03.017
[16]	Bosire C K, Krol M S, Mekonnen M M, et al. Meat and milk production scenarios and the associated land footprint in Kenya. Agricultural Systems, 2016, 145: 64-75. doi: 10.1016/j.agsy.2016.03.003
[17]	Khoo H H. Review of bio-conversion pathways of lignocellulose-to-ethanol: Sustainability assessment based on land footprint projections. Renewable and Sustainable Energy Reviews, 2015, 46: 100-119. doi: 10.1016/j.rser.2015.02.027
[18]	Liu Yanhong, Guo Chaoxian. Emipirical studies on land embodied in the foreign trade of China: A literature review. China Population, Resources and Environment, 2018, 28(11): 65-72.
	[刘艳红, 郭朝先. 中国外贸隐含土地实证研究述评. 中国人口·资源与环境, 2018, 28(11): 65-72.]
[19]	Hu Baoqing, Yang Wangbin, Shao Hui. Application of virtual land security strategy to the sustainable land use in county territory: A case study of Du'an and Tiandong, Guangxi. Tropical Geography, 2006, 26(2): 97-101.
	[胡宝清, 杨旺彬, 邵晖. 虚拟土安全战略及其在县域土地可持续利用中的应用: 以广西都安和田东县对比分析为例. 热带地理, 2006, 26(2): 97-101.]
[20]	Wang Yunfeng, Feng Ruixue, Guo Tianbao. Analysis of virtual land import benefits of China's major agricultural products. Journal of Agrotechnical Economics, 2015(4): 26-35.
	[王云凤, 冯瑞雪, 郭天宝. 我国主要农产品的虚拟土地进口效益分析. 农业技术经济, 2015(4): 26-35.]
[21]	Qiang Wenli, Liu Aimin, Cheng Shengkui, et al. Quantification of virtual land resources in China's crop trade. Journal of Natural Resources, 2013, 28(8): 1289-1297.
	[强文丽, 刘爱民, 成升魁, 等. 中国农产品贸易的虚拟土地资源量化研究. 自然资源学报, 2013, 28(8): 1289-1297.]
[22]	Liu Hongmei, Wang Keqiang, Shi Fang. An empirical analysis of virtual land resource imports for food in China. Chinese Rural Economy, 2007(11): 26-33, 51.
	[刘红梅, 王克强, 石芳. 中国粮食虚拟土地资源进口的实证分析. 中国农村经济, 2007(11): 26-33, 51.]
[23]	Yao Qiuhui, Han Mengyao, Liu Weidong. Tracking embodied carbon flows in the Belt and Road regions. Acta Geographica Sinica, 2018, 73(11): 2210-2222. doi: 10.11821/dlxb201811012
	[姚秋蕙, 韩梦瑶, 刘卫东. “一带一路”沿线地区隐含碳流动研究. 地理学报, 2018, 73(11): 2210-2222.] doi: 10.11821/dlxb201811012
[24]	Davis S J, Caldeira K. Consumption-based accounting of CO₂ emissions. PNAS, 2010, 107(12): 5687-5692. doi: 10.1073/pnas.0906974107
[25]	Peters G P, Minx J C, Weber C L, et al. Growth in emission transfers via international trade from 1990 to 2008. PNAS, 2011, 108(21): 8903-8908. doi: 10.1073/pnas.1006388108 pmid: 21518879
[26]	Guo S, Liu J B, Shao L, et al. Energy-dominated local carbon emissions in Beijing 2007: Inventory and input-output analysis. Scientific World Journal, 2012: 923183. DOI: 10.1100/2012/923183. doi: 10.1100/2012/923183
[27]	Feng K S, Chapagain A, Suh S, et al. Comparison of bottom-up and top-down approaches to calculating the water footprints of nations. Economic Systems Research, 2011, 23(4): 371-385. doi: 10.1080/09535314.2011.638276
[28]	Sun S A, Fang C L, Lv J Y. Spatial inequality of water footprint in China: A detailed decomposition of inequality from water use types and drivers. Journal of Hydrology, 2017, 553: 398-407. doi: 10.1016/j.jhydrol.2017.08.020
[29]	Marselis S M, Feng K S, Liu Y, et al. Agricultural land displacement and undernourishment. Journal of Cleaner Production, 2017, 161: 619-628. doi: 10.1016/j.jclepro.2017.05.125
[30]	Zhang Z X, Wang X, Zhao X L, et al. A 2010 update of National Land Use/Cover Database of China at 1:100000 scale using medium spatial resolution satellite images. Remote Sensing of Environment, 2014, 149: 142-154. doi: 10.1016/j.rse.2014.04.004
[31]	Dong Jinwei, Kuang Wenhui, Liu Jiyuan. Continuous land cover change monitoring in the remote sensing big data era. Science China: Terrae, 2018, 48(2): 259-260.
	[董金玮, 匡文慧, 刘纪远. 遥感大数据支持下的全球土地覆盖连续动态监测. 中国科学: 地球科学, 2018, 48(2): 259-260.]
[32]	Liu Jiyuan, Kuang Wenhui, Zhang Zengxiang, et al. Spatiotemporal characteristics, patterns and causes of land use changes in China since the late 1980s. Acta Geographica Sinica, 2014, 69(1): 3-14
	[刘纪远, 匡文慧, 张增祥, 等. 20世纪80年代末以来中国土地利用变化的基本特征与空间格局. 地理学报, 2014, 69(1): 3-14.]
[33]	Liu Weidong, et al. The 2012 China Multi-Regional Input-Output Table of 31 Provincial Units. Beijing: China Statistics Press, 2018.
	[刘卫东, 等. 2012年中国31省区市区域间投入产出表. 北京: 中国统计出版社, 2018.]
[34]	Lin Wenqi, Wu Menghe, Zhang Yue, et al. Regional differences in China's urbanization and their driving factors. Science China: Terrae, 2018, 48(5): 639-650.
	[林文棋, 吴梦荷, 张悦, 等. 中国城镇化的地区差异及其驱动因素. 中国科学: 地球科学, 2018, 48(5): 639-650.]
[35]	Liu J G, Hull V, Batistella M, et al. Framing sustainability in a telecoupled world. Ecology and Society, 2013, 18(262). DOI: 10.5751/ES-05873-180226. doi: 10.5751/ES-05873-180226
[36]	Naeem S, Ingram J C, Varga A, et al. Get the science right when paying for nature's services. Science, 2015, 347(6227): 1206-1207. doi: 10.1126/science.aaa1403 pmid: 25766222
[37]	Xu Z, Li Y, Chau S N, et al. Impacts of international trade on global sustainable development. Nature Sustainability, 2020, 3: 964-971. doi: 10.1038/s41893-020-0572-z