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The spatio-temporal heterogeneity of county-level economic development and primary drivers across the Loess Plateau, China

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Abstract

Unbalanced economic growth is a ubiquitous phenomenon while investigating the regional development at a large spatial scale. Therefore, it is of great significance to analyze the spatio-temporal pattern of regional economic growth and the drivers to understand and facilitate the economic development of low development areas. Taking a county as a fundamental study unit, we used the county-level per capita GDP data on the Loess Plateau from 2005 to 2017, and geographic variables such as slope, elevation, and population density to analyze the spatio-temporal differences and the driving factors of the county-level economic development in the Loess Plateau by employing both conventional and advanced quantitative methods including Exploratory Spatial Data Analysis (ESDA) and the geographic detector model. Our results suggested that: (1) The selected indicators, including absolute difference, the fluctuation of relative difference and total difference of economic development on the Loess Plateau, all show steady increasing trends, respectively. (2) There are 64.5% of the counties with economic development being below the average level of the whole Loss Plateau region. The relatively high developed counties are distributed in the “A”-shaped regions in Inner Mongolia Autonomous Region, Shaanxi, and Henan provinces, however, the low development counties are mainly located in the “V”-shaped regions in Gansu and Shanxi provinces. (3) GDP, investment in fixed assets and urbanization rate are the major driving factors influencing the regional economic development, and the combined effects are far greater than that of any individual factor.

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References

  • Abramowitz M, 1986. Catching up, forging ahead, and falling behind. The Journal of Economic History, 46(2): 385–106.

    Article  Google Scholar 

  • Alfred W, 1909. Theory of the Location of Industries. Chicago: The University of Chicago Press.

    Google Scholar 

  • Arbia G, 2001. The role of spatial effects in the empirical analysis of regional concentration. Journal of Geographical Systems, 3(3): 271–281.

    Article  Google Scholar 

  • Bai X, Du B B, Jiang Y L, 2019. Spatial disparities of economy and its evolvement at county level in Guangdong Province. Research of Soil and Water Conservation, 26(5): 296–303. (in Chinese)

    Google Scholar 

  • Broersma L, Oosterhaven J, 2009. Regional labor productivity in the Netherlands: Evidence of agglomeration and congestion effects. Journal of Regional Science, 49(3): 483–511.

    Article  Google Scholar 

  • Chen P Y, Zhu X G, 2011. Spatial analysis on Fujian’s regional inequalities and mechanisms. Economic Geography, 31(8): 1252–1257. (in Chinese)

    Google Scholar 

  • Chen P Y, Zhu X G, 2012. Regional inequalities in China at different scales. Acta Geographica Sinica, 67(8): 1085–1097. (in Chinese)

    Google Scholar 

  • Ciccone A, Hall R E, 1996. Productivity and the density of economic activity. National Bureau of Economic Research, 86(1): 54–70.

    Google Scholar 

  • Dong Y X, Xu Q, Yang R et al., 2017. Delineation of the northern border of the tropical zone of China’s mainland using Geodetector. Acta Geographica Sinica, 72(1): 135–147. (in Chinese)

    Google Scholar 

  • Elena G, 2010. New directions for urban economic models of land use change: Incorporating spatial dynamics and heterogeneity. Journal of Regional Science, 50(1): 65–91.

    Article  Google Scholar 

  • Fang C L, 2010. Development status quo and key points of construction of urban agglomerations in west regions of China. Arid Land Geography, 33(5): 667–675. (in Chinese)

    Google Scholar 

  • Fang W T, Teng T W, Chen Z Q, 2017. Analysis of the evolution of temporal and spatial pattern of county economic difference in Fujian Province. Human Geography, 32(2): 103–110. (in Chinese)

    Google Scholar 

  • Fei, Ranis, Kuo, 1979. Growth with Equity: The Taiwan Case. New York: Oxford University Press.

    Google Scholar 

  • Feng C C, Zeng Z R, Cui N N, 2015. The economic disparities and their spatio-temporal evolution in China since 2000. Geographical Research, 34(2): 234–246. (in Chinese)

    Google Scholar 

  • Guan W H, Zhao Y, Lin Z S, 2004. Study on the evolution of regional spatial structure in Jiangsu Province since 1978. Geographical Research, 23(4): 541–550. (in Chinese)

    Google Scholar 

  • Guo F Y, Tong L J, Li P, 2016. Spatial-temporal differences and driving mechanism of the Songhua River ecological economic corridor basin economy. Economic Geography, 36(9): 35–41. (in Chinese)

    Google Scholar 

  • Han Y, Zhang Y, 2019. Spatiotemporal variations of county economies and influencing factors: A case study of Gansu Province. Journal of Geo-information Science, 21(11): 1735–1744. (in Chinese)

    Google Scholar 

  • Hu X F, Chen X P, Han J et al., 2017. Evaluation of environmental carrying capacity of the Han, Tibetan and Hui ethnic areas based on emery analysis. Journal of Lanzhou University (Natural Sciences), 53(2): 206–212. (in Chinese)

    Google Scholar 

  • Hu X Y, Zhang Z L, Chen X P et al., 2019. Geographic detection of spatial-temporal difference and its influencing factors on county economic development: A case study of Gansu Province. Geographical Research, 38(4): 772–783. (in Chinese)

    Google Scholar 

  • Jan G, 2002. Knowledge and urban economic development: An evolutionary perspective. Urban Studies, 39(5): 1019–1035.

    Google Scholar 

  • Ke W Q, Lu Y Q, 2011. Evolvement of spatial pattern of economy at county level in Fujian Province. Economic Geography, 31(1): 1081–1087. (in Chinese)

    Google Scholar 

  • Kuznets S, 1955. Economic growth and income inequality. The American Economic Review, 45: 1–28.

    Google Scholar 

  • Liu N, **e Y S, Suo G D et al., 2014. Analysis on evolvement of spatial pattern of economy in Shaanxi Province at county level based on ESDA. Research of Soil and Water Conservation, 21(3): 73–78. (in Chinese)

    Google Scholar 

  • Liu Y, Zhou Y B, Wang G G et al., 2012. Study on spatial characteristics and evolution pattern of economic development at county-scale in the area along Bohai Rim in China. Areal Research and Development, 31(4): 52–55. (in Chinese)

    Google Scholar 

  • Li J T, Liu Y S, Yang Y Y et al., 2018. Spatial-temporal characteristics and driving factors of urban construction land in Bei**g-Tian**-Hebei region during 1985–2015. Geographical Research, 37(1): 37–52. (in Chinese)

    Google Scholar 

  • Li X J, Qiao J J, 2001. County level economic disparities of China in the 1990s. Acta Geographica Sinica, 56(2): 136–145. (in Chinese)

    Google Scholar 

  • Li Z Z, Dou M, Shao D Q, 2019. Study on spatial difference and influencing factors of county level economic development in Shaanxi Province. Geomatics & Spatial Information Technology, 42(5): 173–178. (in Chinese)

    Google Scholar 

  • Long Z K, He L L, 2015. The temporal differentiation of tourism economic development in Hunan Province. Journal of Shaoyang University (Social Science Edition), 14(2): 66–71. (in Chinese)

    Google Scholar 

  • Mankiw G, Romer D, Weil N, 1992. A contribution to the empirics of economic growth. Quarterly Journal of Economics, 107(2): 407–437.

    Article  Google Scholar 

  • Pang J X, Chen X P, 2017. Temporal and spatial changes in coupling and coordinating degree of economic development and environmental pollution in Gansu Province. Journal of Lanzhou University (Natural Sciences), 53(1): 54–59. (in Chinese)

    Google Scholar 

  • Qiu F D, Zhu C G, Tong L J et al., 2009. Spatial analysis of economic disparities of county level in Huaihai economic zone. Scientia Geographica Sinica, 29(1): 56–63. (in Chinese)

    Google Scholar 

  • Robert J, 1997. Determinants of Economic Growth: A Cross-country Empirical Study. Cambridge, MA: MIT Press.

    Google Scholar 

  • Rosenstein R, 1943. Problems of industrialization of eastern and south-eastern Europe. Economic Journal, 53: 210–211.

    Google Scholar 

  • Wang H, Sun J F, Yu J, 2014. Study on characteristic of spatio-temporal evolution of county economic difference in Shandong Province. Areal Research and Development, 33(5): 16–20. (in Chinese)

    Google Scholar 

  • Wang J F, Hu Y, 2012. Environmental health risk detection with GeoDetector. Environmental Modelling & Software, 33: 114–115.

    Article  Google Scholar 

  • Wang J F, Li X H, Christakos G et al., 2010. Geographical detectors-based health risk assessment and its application in the neural tube defects study of the Heshun region, China. International Journal of Geographical Information Science, 24(1): 107–127.

    Article  Google Scholar 

  • Wang J F, Xu C D, 2017. Geodetector: Principle and prospective. Acta Geographica Sinica, 72(1): 116–134. (in Chinese)

    Google Scholar 

  • Wang J, Zhang X L, Du H R, 2011. Spatial pattern evolvement and characteristics of the economy in **njiang at the county level. Progress in Geography, 30(4): 470–478. (in Chinese)

    Google Scholar 

  • Wang X, 2010. Tempo-spatial variation of tourism development in Chongqing. Economic Geography, 30(3): 519–523. (in Chinese)

    Google Scholar 

  • Wen Q, Shi L N, Ma C H et al., 2018. Spatial heterogeneity of multidimensional poverty at the village level: Loess Plateau. Acta Geographica Sinica, 73(10): 1850–1864. (in Chinese)

    Google Scholar 

  • Wu A Z, Yang K Z, Li G P, 2011. Analysis of spatial-temporal evaluation of regional technology relatively efficiency in China. Economic Geography, 31(5): 705–711. (in Chinese)

    Google Scholar 

  • Yang F S, Yang X M, Wang Z H et al., 2018. Geographic detection of impact factors of economic differences among typical counties in Jiangxi Province. Journal of Geo-information Science, 20(1): 79–88. (in Chinese)

    Google Scholar 

  • Yang Z B, Zeng X F, 2010. Study on China’s regional economic disparities summary. Economic Geography, 30(6): 899–905. (in Chinese)

    Google Scholar 

  • Zhang G S, Ding Z W, Wang F Z, 2013. A study on spatial-temporal variation of economic density of central China. Economic Geography, 33(6): 15–23. (in Chinese)

    Google Scholar 

  • Zhang H F, Bai Y P, Chen Q et al., 2009. Regional economic disparities in Qinghai Province based on ESDA and GIS. Arid Land Geography, 32(3): 454–461. (in Chinese)

    Google Scholar 

  • Zhang J Q, Gong J, Liu D Q, 2018. Dynamics and driving factors of landscape fragmentation based on Geo-Detector in the Bailongjiang Watershed of Gansu Province. Scientia Geographica Sinica, 38(8): 1370–1378. (in Chinese)

    Google Scholar 

  • Zhang W Z, Zhang Y L, 2018. A study of urbanization level, spatial and temporal differentiation of counties in Guangxi. Journal of Qinzhou University, 33(10): 34–40. (in Chinese)

    Google Scholar 

  • Zhou Y C, Qi Q W, Feng C R, 2002. Characteristics of dynamic variation of the inter-provincial economic difference in China in recent ten years. Geographical Research, 21(6): 781–790. (in Chinese)

    Google Scholar 

Download references

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Correspondence to Liang Xue.

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Shaanxi Provincial Planning Office of Philosophy and Social Science, No.2019D045

Liu Shijun (1996–), Master Candidate, specialized in economic geography and regional studies.

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Liu, S., Xue, L. The spatio-temporal heterogeneity of county-level economic development and primary drivers across the Loess Plateau, China. J. Geogr. Sci. 31, 423–436 (2021). https://doi.org/10.1007/s11442-021-1851-y

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  • DOI: https://doi.org/10.1007/s11442-021-1851-y

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