Geographical displacement of arable land use for Yellow River regions via regional economic integration
Hongxiao Yue , Jingyu Liu , Yuanjing Qi , Yongjuan Xie , Man Guo , Xudong Wu , Zhiqiang Zhang
Energy, Ecology and Environment ›› 2023, Vol. 8 ›› Issue (2) : 178 -193.
Geographical displacement of arable land use for Yellow River regions via regional economic integration
The continuing urbanization and economic integration in the Yellow River regions have characterized a new form of arable land use that can be displaced as commodity embodiment through trade connections. To enunciate whether the Yellow River regions utilize their arable land resources to feed China, this work investigates the geographical displacement of arable land use for the Yellow River regions via trades. Empirical evidence reveals that the Yellow River regions contribute over a quarter of China’s total traded arable land use in both intermediate and final trades. The arable land displacement related to exports in the Yellow River regions is quantified to grow by 1.4 times during the period studied. Particularly, the arable land use displaced from the Yellow River regions to the Yangtze River Delta equals around one-tenth of the national total traded volume. On the sectoral level, agriculture and food & tobacco sectors altogether contribute around over 60% of the exports of the Yellow River regions. The outcome demonstrates that the Yellow River regions obtain arable land use from regions with lower economic levels and feed affluent areas with land-intensive commodities. Under the context of economic integration, this regional imbalance of arable land use may be further aggravated by frequent interregional trades and needs special attention to realize ecological protection and high-quality development in the Yellow River regions.
Arable land use / Yellow River regions / Regional economic integration / Temporal and spatial evolution / Commodity embodiment
| [1] |
|
| [2] |
Borgstrom G (1972) The hungry planet: the modern world at the edge of famine. Macmillan. |
| [3] |
|
| [4] |
|
| [5] |
|
| [6] |
|
| [7] |
|
| [8] |
|
| [9] |
|
| [10] |
|
| [11] |
|
| [12] |
|
| [13] |
|
| [14] |
|
| [15] |
|
| [16] |
|
| [17] |
|
| [18] |
|
| [19] |
|
| [20] |
|
| [21] |
|
| [22] |
|
| [23] |
|
| [24] |
|
| [25] |
Herendeen RA (1973) An energy input-output matrix for the United States, 1963: user’s guide. National Technical Information Service, U.S. Dept. of Commerce, Springfield |
| [26] |
|
| [27] |
|
| [28] |
|
| [29] |
|
| [30] |
|
| [31] |
Liu G, Zhang F, Deng X (2021) Is virtual water trade beneficial for the water-deficient regions? New evidences from the Yellow River Basin, China. J Hydrol Reg Stud 38:100964. https://doi.org/10.1016/j.ejrh.2021.100964 |
| [32] |
Liu W, Chen J, Tang Z, Hongguang L, Dan H, Fangyi L (2012) The theory and practice of compiling input-output tables among 30 provinces, regions and cities in China in 2007. China Statistics Press |
| [33] |
Liu W, Tang Z, Han M (2018) Input-output table of 31 provinces, regions and cities of China in 2012. China Statistics Press |
| [34] |
Liu Y, Chen B, Wei W, Shao L, Li Z, Jiang W, Chen G (2020) Global water use associated with energy supply, demand and international trade of China. Appl Energy 257:113992. https://doi.org/10.1016/j.apenergy.2019.113992 |
| [35] |
Meng J, Liu J, Xu Y, Guan D, Liu Z, Huang Y, Tao S (2016) Globalization and pollution: tele-connecting local primary PM2.5 emissions to global consumption. Proc R Soc Math Phys Eng Sci 472:20160380. https://doi.org/10.1098/rspa.2016.0380 |
| [36] |
|
| [37] |
Miller RE, Blair PD (2009) Input–output analysis: foundations and extensions. Cambridge University Press |
| [38] |
|
| [39] |
NASS (2020) Annual report on ecological conservation and high-quality Development of the Yellow River Basin. |
| [40] |
NBS National Statistical Yearbook 2013, 2013 Beijing (in Chinese) China Statistics Press |
| [41] |
NBS National Statistical Yearbook 2008, 2008 Beijing (in Chinese) China Statistics Press |
| [42] |
|
| [43] |
Ran Y, Xie J, Li X (2016) Socio-economic development and its effects on the ecological environment of the Yellow River Source Zone. In: Brierley GJ, Li X, Cullum C, Gao J (eds) Landscape and ecosystem diversity, dynamics and management in the Yellow River Source Zone, Springer Geography. Springer, Cham, pp 331–351. https://doi.org/10.1007/978-3-319-30475-5_14 |
| [44] |
|
| [45] |
Shao L, Geng Z, Wu XF, Xu P, Pan T, Yu H, Wu Z (2020) Changes and driving forces of urban consumption-based carbon emissions: a case study of Shanghai. J Clean Prod 245:118774. https://doi.org/10.1016/j.jclepro.2019.118774 |
| [46] |
Shao L, Guan D, Zhang N, Shan Y, Chen GQ (2016) Carbon emissions from fossil fuel consumption of Beijing in 2012. Environ Res Lett 11:114028. https://doi.org/10.1088/1748-9326/11/11/114028 |
| [47] |
|
| [48] |
|
| [49] |
Wackernagel M, Rees W, (1998) Our ecological footprint: reducing human impact on the earth. New Society Publishers |
| [50] |
|
| [51] |
|
| [52] |
|
| [53] |
|
| [54] |
|
| [55] |
|
| [56] |
|
| [57] |
|
| [58] |
|
| [59] |
|
| [60] |
|
| [61] |
|
| [62] |
|
| [63] |
|
| [64] |
|
| [65] |
YRCC (2011) Administrative division of the Yellow River Basin (WWW Document). http://www.yrcc.gov.cn/hhyl/hhgk/hd/lyfw/201108/t20110814_103296.html. Accessed 30 May 2022 |
| [66] |
|
| [67] |
|
| [68] |
|
| [69] |
|
| [70] |
|
| [71] |
Zhang L, Hu Q, Zhang F (2014) Input–output modeling for urban energy consumption in Beijing: dynamics and comparison. PLoS ONE 9:e89850. https://doi.org/10.1371/journal.pone.0089850 |
| [72] |
|
| [73] |
|
/
| 〈 |
|
〉 |