Article Open Access

Spatio-temporal Evolution and Influencing Factors of Farmland Circulation Price at the County Level in China

Rural and Regional Development . 2023, 1(1), 10003; https://doi.org/10.35534/rrd.2023.10003
Xin Liang 1, 2,    Jingfeng Wang 1, 2,    Cheng Wang 1, 2, *   
1
School of Geographical Sciences, Southwest University, Chongqing 400715, China
2
New Liberal Arts Laboratory for Western Rural Sustainable Development, Chongqing 400715, China
*
Authors to whom correspondence should be addressed.

Received: 17 Feb 2023    Accepted: 05 Jun 2023    Published: 14 Jun 2023   

Abstract

Farmland circulation is an important way to achieve moderate scale operation to ensure food security. Based on the spatial analysis and spatial econometric model, this paper studies the spatial-temporal evolution and influencing factors of cultivated land transfer price at the county level in China from 2015 to 2020. The results revealed the following: (1) the circulation price of farmland generally shows paddy field > irrigated land > dry land > other cultivated land. The farmland circulation price in Huang-Huai-Hai Plain is always the highest, whereas that in Qinghai–Tibet Plateau is always the lowest. (2) The spatial pattern of farmland circulation price is high in the south and low in the north, presenting an inverted U-shaped structure from east to west in 2015, and high in the east and low in the west, presenting an inverted U-shaped structure from north to south in 2020. Moreover, the spatial agglomeration was enhanced. (3) With the development of land market and urbanization, the restriction of natural factors of cultivated land on the farmland circulation price weakens, while the socio-economic attribute of cultivated land constantly strengthens. Based on the results, this paper puts forward some suggestions to prevent the overcapitalization of land.

References

1.
Wang XJ, He YP, Jiang HP. China’s Food Security during the 14th Five-Year Plan Period: Situation, Problems and Countermeasures.  Reform 2020, 9, 27–40. [Google Scholar]
2.
Du T, Zhu DL, Zhang LX. Study on cultivated land transfer price in Gansu province based on spatial e-conometric model. J. Arid Land Resources Environ. 2018, 32, 56–62. https://doi.org/10.13448/j.cnki.jalre.2018.073 (In Chinese).
3.
Brümmer B, Glauben T, Lu W. Policy Reform and Productivity Change in Chinese Agriculture: A Distance Function Approach.  J. Dev. Econ. 2006, 81, 61–79. [Google Scholar]
4.
Xu ZG, Tan X, Zheng XY, Lu W. The Influence and Constraints of the Development of Farmland Transfer Market on Grain Production.  Chin. Rural Econ. 2017, 9, 26–43. [Google Scholar]
5.
FAO, IFAD, UNICEF, WFP, WHO. World Food Security and Nutrition in 2020: Changing the Food System and Ensuring a Healthy Economic Diet. Available online: https://www.fao.org/publications/sofi/2021/zh/ (accessed on 13 June 2023).
6.
Lan Y, Jiang M, He J. Comparative Study on the Stability of Land Management Rights of Family Farms under Three Circulation Models. J. Agrotech. Econ. 2019, 12, 21–33. https://doi.org/10.13246/j.cnki.jae.2019.12.002 (In Chinese).
7.
Li WM, Chen TT. Research on Novel Land Transfer Mode Operation Mechanism of Internet+Land Transfer—based on Experience Survey on Tuliuwang. Prices Monthly 2017, 10, 81–85. https://doi.org/10.14076/j.issn.1006-2025.2017.10.17 (In Chinese).
8.
Peng XX. The Functional Review and the Reform Path of the Chinese Rural Land Transfer System. Theor. Explor. 2022, 1, 120–128. https://doi.org/10.3969/j.issn.1004-4175.2022.01.016 (In Chinese).
9.
Wang HJ. The Path Evolution, Practice Dilemma and Reflection of Contracted Land Withdrawal. J. Nanjing Agric. Univ. Soc. Sci. Ed. 2022, 22, 126–134. https://doi.org/10.19714/j.cnki.1671-7465.2022.0024 (In Chinese).
10.
Wang JY, Li XB, Xin LJ. Spatial-temporal Variations and Influential Factors of Land Transfer in China. J. Nat. Resources 2018, 33, 2067–2083. https://doi.org/10.31497/zrzyxb.20171215 (In Chinese).
11.
Wang Q, Wang YS, Du GM. Geographical exploration of spatial differentiation characteristics and driving mechanism of cultivated land circulation in arid regions based on human–land relationships. J. Agric. Resources Environ. 2021, 38, 241–248. https://doi.org/10.13254/j.jare.2020.0204 (In Chinese).
12.
Ayala-Cantu L, Morando B. Rental markets, gender, and land certificates: evidence from Vietnam.  Food Policy 2020, 94, 101842. [Google Scholar]
13.
Peng T. The effect of hazard shock and disclosure information on property and land prices: a machine-learning assessment in the case of Japan.  Rev. Region Res. 2021, 41, 1–32. [Google Scholar]
14.
Abman R, Carney C. Land rights, agricultural productivity, and deforestation.  Food Policy 2020, 94, 101841. [Google Scholar]
15.
Elahi E, Khalid Z, Cui WJ, Zhang HM. The public policy of agricultural land allotment to agrarians and its impact on crop productivity in Punjab province of Pakistan.  Land Use Policy 2020, 90, 104324. [Google Scholar]
16.
Du T, Zhu DL. Studies on the spatio-temporal evolution and macro-mechanism of land circulation price in China. Resources Sci. 2018, 40, 2202–2212. https://doi.org/10.18402/resci.2018.11.07 (In Chinese).
17.
Zhu DL, Li YY, Zhang LX. The Nature and Source of Land Prices. China Land Sci. 2021, 40, 2202–2212. https://doi.org/10.11994/zgtdkx.20210702.160709 (In Chinese).
18.
Muraoka R, Jin S, Jayne TS. Land access, land rental and food security: evidence from Kenya.  Land Use Policy 2018, 70, 611–622. [Google Scholar]
19.
Fei RL, Lin ZY, Chunga J. How land transfer affects agricultural land use efficiency: Evidence from China’s agricultural sector.  Land Use Policy 2021, 103, 105300. [Google Scholar]
20.
Mu SL, Zhang YF, Wang KY. Agricultural land contract and management rights: transferring price and countermeasures in typical agricultural areas of China. J. Resources Ecol. 2012, 3, 262–268. https://doi.org/10.5814/j.issn.1674-764x.2012.03.009.
21.
Wang GM, Chen C, Cao GQ, Yi ZY. Spatial-temporal characteristics and influential factors decomposition of farmland transfer in China. Transact. Chin. Soc. Agric. Eng. 2017, 33, 1–7. https://doi.org/10.11975/j.issn.1002-6819.2017.01.001 (In Chinese).
22.
Xu Y, Li X., Xin LJ. Differentiation of scale-farmland transfer rent and its influencing factors in China. Acta Geogr. Sin. 2021, 76, 753–763. https://doi.org/10.11821/dlxb202103018 (In Chinese).
23.
Krajewska M, Szopińska K, Siemińska E. Value of land properties in the context of planning conditions risk on the example of the suburban zone of a Polish city.  Land Use Policy 2019, 109, 105697. [Google Scholar]
24.
Kionka M, Odening M, Plogmann J, Ritter, M. Measuring liquidity in agricultural land markets.  Agric. Finance Rev. 2021, 82, 690–713. [Google Scholar]
25.
Zhang YX, Halder P, Zhang XN, Qu M. Analyzing the deviation between farmers’ land transfer intention and behavior in China’s impoverished mountainous area: a Logistic-ISM model approach.  Land Use Policy 2020, 94, 104534. [Google Scholar]
26.
Pu L. Research on the impact of farmers’ trust on land circulation and its price. Price Theory Pract. 2020, 429, 48–51. https://doi.org/10.19851/j.cnki.cn11-1010/f.2020.03.368 (In Chinese).
27.
Du T, Zhu DL, Zhang LX, Zhao Y. Spatial distribution and formation mechanism of cultivated land transfer price in Henan Province. Transact. Chin. Soc. Agric. Eng. 2016, 32, 250–258. https://doi.org/10.11975/j.issn.1002-6819.2016.20.033 (In Chinese).
28.
Wu XB, Wang FY, Li DS. An Empirical Analysis of the influencing factors of land transfer price in large-scale operation. Stat. Decis. 2016, 10, 87–90. https://doi.org/10.13546/j.cnki.tjyjc.2016.10.024 (In Chinese).
29.
Yang WL, Du DB, Liu CL, Ma YH. Study on the Spatial-Temporal Evolution and Internal Mechanism of Geo-Economic Connections of China. Acta Geogr. Sin. 2016, 71, 956–969. https://doi.org/10.11821/dlxb201606005 (In Chinese).
30.
Tsai PJ, Teng HJ. Role of Aedes aegypti (Linnaeus) and Aedes albopictus (Skuse) in local dengue epidemics in Taiwan.  BMC Infect. Dis. 2016, 16, 662. [Google Scholar]
31.
Cui NN, Feng CC, Song Y. Spatial pattern of residential land parcels and determinants of residential land price in Beijing since 2004. Acta Geogr. Sin. 2017, 72, 1049–1062. https://doi.org/10.11821/dlxb201706008(In Chinese).
32.
Liu L, Xu XL, Liu JY, Chen X, Ning, J. Impact of farmland changes on production potential in China during recent two decades. Acta Geogr. Sin. 2014, 69, 1767–1778. https://doi.org/10.11821/dlxb201412003 (In Chinese).
33.
Yang QY. Land Economics; Science Press: Beijing, China, 2018. (In Chinese).
34.
Wang N, Zu J, Hao JM, Gu TW, Chen AQ. Influencing Factors of Farmers’ Willingness to Transfer Cultivated Land in Huang-Huai-Hai Plain. Res. Soil Water Conserv. 2020, 28, 272–278. doi:10.13869/j.cnki.rswc.2021.01.034 (In Chinese).
35.
Yang AX, Wang YH. Spatiotemporal Variations in Farmland Rents and Its Drivers in Rural China: Evidence from Plot-Level Transactions.  Land 2022, 11, 229. [Google Scholar]
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