Journal of Mountain Science

, Volume 11, Issue 5, pp 1356–1371 | Cite as

Spatial spillover and the factors influencing public service supply in Sichuan province, China

  • Xue-qian Song
  • Wei DengEmail author
  • Ying Liu


This article examines the spatial characteristics of public service supply and the factors influencing such supply in cities of Sichuan Province, China using spatial-autocorrelation and spatial econometric models with statistical data in 2012. The results demonstrate that expenditures on different types of public services present different spatial autocorrelation patterns. Although the spatial differences in basic public service expenditures are relatively small, a clear fan-shaped spillover to the east can be seen in Chengdu City. Chengdu also shows high clustering of advanced public service expenditures, being a typical core-periphery pattern. Post-earthquake reconstruction expenditures are clustered in the “5.12 Wenchuan earthquake” region and spill over toward cities to the east. The efficiency of public services in the mountainous areas in western Sichuan is low and exhibits a pattern of low-low spatial autocorrelation. The efficiency of public service supply is affected by economic, social, political and geographical factors. Based on the results of this analysis, we recommend a supply strategy that incorporates different types of public services and a specialized public service supply strategy for mountainous areas. Overall public service efficiency should be enhanced by focusing on narrowing the gap in farmers’ income among regions and accelerating urbanization. Decision-makers should consider more supportive policies with regard to providing basic public services in mountainous areas to ensure an equalized supply of basic public services. To enhance the efficiency of advanced public service supply, additional growth pole should be encouraged and incentivized; however, investments are required to drive the development of the peripheral regions through regional economic integration. Both software and hardware types of infrastructure are required to supply services efficiently during post-disaster reconstruction.


Public services Spatial Spillover Spatial Econometric Model Relief Degree of Land Surface China 


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  1. Anselin L, Rey S (1991) Properties of tests for spatial dependence in linear regression models. Geographical Analysis 23: 112–131. DOI: 10.1111/j.1538-4632.1991.tb00228.xCrossRefGoogle Scholar
  2. Anselin, L (1995) Local indicators of spatial association—LISA. Geographical Analysis 27: 93–115. DOI: 10.1111/j.1538-4632. 1995.tb00338.xCrossRefGoogle Scholar
  3. Anselin L (2000) Geographical spillovers and university research: A spatial econometric perspective. Growth and Change 31: 501–515. DOI: 10.1111/0017-4815.00142CrossRefGoogle Scholar
  4. Anselin L, Syabri I, Kho Y (2006). GeoDa: An introduction to spatial data analysis. Geographical Analysis 38: 5–22. DOI: 10.1111/j.0016-7363.2005.00671.xCrossRefGoogle Scholar
  5. Besley T, Coate S (2003) Centralized versus decentralized provision of local public goods: a political economy approach. Journal of Public Economics 87:2611–2637. DOI: 10.1016/S0047-2727(02)00141-X.CrossRefGoogle Scholar
  6. Boadway R (2001) Inter-governmental fiscal relations: the facilitator of fiscal decentralization. Constitutional Political Economy 12: 93–121. DOI: 10.1007/978-94-011-5352-2_1.CrossRefGoogle Scholar
  7. Brueckner JK (2003) Strategic interaction among governments: An overview of empirical studies. International Regional Science Review 26: 175–188. DOI: 10.1177/0160017602250974.CrossRefGoogle Scholar
  8. Caldeira E (2012) Yardstick competition in a federation: Theory and evidence from China. China Economic Review 23: 878–897. DOI: 10.1016/j.chieco.2012.04.011CrossRefGoogle Scholar
  9. Chen F (2007) Spatial economic association mode analysis theory and empirical research. China Social Sciences Press, Beijing, China. (In Chinese)Google Scholar
  10. Chen GJ, Fang YP, Gao YJ (2010) Chinese mountainous area development report: new situation and new exploration of Chinese mountainous area. The Commercial Press, Shanghai, China. pp 141–159. (In Chinese)Google Scholar
  11. Chen SY, Zhang JL (2008) Study on public service efficiency of local governments: 1978–2005. Fiscal Science of China 38: 89–95. (In Chinese)Google Scholar
  12. Chen YG (2009) Reconstructing the mathematical process of spatial autocorrelation based on Moran’s statistics. Geographical Research 28: 1449–1463. (In Chinese)Google Scholar
  13. Conley J, Dix M (1999) Optimal and equilibrium membership in clubs with the presence of spillovers. Journal of Urban Economics 32: 215–229.CrossRefGoogle Scholar
  14. Dalhby B (1994) Fiscal externalities and the design of intergovernmental grants, International Regional Science Review 18: 397–412. DOI: 10.1007/BF00418952.Google Scholar
  15. Deng W, Fang YP, Tang W (2013) The strategic effect and general directions of urbanization in mountain areas of china. Bulletin of Chinese Academy of Sciences 28: 66–73. DOI: 10.3969/j.issn.1000-3045.2013.01.007. (In Chinese)Google Scholar
  16. Duncan DT, Kawachi I, White K, et al. (2013) The geography of recreational open space: influence of neighborhood racial composition and neighborhood poverty. Journal of Urban Health 90: 618–631. DOI: 10.1007/s11524-012-9770-yCrossRefGoogle Scholar
  17. Ermini B, Santolini R (2010) Local expenditure interaction in Italian municipalities: Do local council partnerships make a difference?. Local Government Studies 36: 655–677. DOI: 10.1080/03003930.2010.506979.CrossRefGoogle Scholar
  18. Feidler J, Staal K (2012) Centralized and decentralized provision of public goods. Economics of Governance 13: 73–93. DOI: 10.1007/s10101-011-0104-4.CrossRefGoogle Scholar
  19. Feng Z, Tang Y, Yang Y, et al. (2008) Relief degree of land surface and its influence on population distribution in china. Journal of Geographical Sciences 18: 237–246. DOI: 10.1007/s11442-008-0237-8CrossRefGoogle Scholar
  20. Foucault M, Madies T, Paty S (2008) Public spending interactions and local politics. Empirical evidence from French municipalities. Public Choice 137: 57–80. DOI: 10.1007/s11127-008-9312-z.Google Scholar
  21. Frederico R (2003) Reaction or interaction? Spatial process identification in multitiered government structures. Journal of Urban economics 53: 29–53. DOI: 10.1016/S0094-1190(02)00512-0CrossRefGoogle Scholar
  22. Gebremeskel GH, Gebremariam TG, Schaeffer PV (2012) County-level determinants of local public services in Appalachia: a multivariate spatial autoregressive model approach. The Annals of Regional Science 49: 175–190 DOI: 10.1007/s00168-010-0435-zCrossRefGoogle Scholar
  23. Guo Q (2006) The way to achieve the equalization of public service among regions: an analysis on Chinese financial transfer payment. Contemporary Managers 35: 6–7. (In Chinese)Google Scholar
  24. Kuang XP, Yang DQ (2013) Empirical study in structure of local fiscal expenditure based on factor analysis and cluster analysis. Chinese Public Administration 331:105–110. DOI: 10.3782j.issn.1006-0863.2013.01.18 (In Chinese)Google Scholar
  25. LeSage JP, Dominguez M (2012) The importance of modeling spatial spillovers in public choice analysis. Public Choice 150: 525–545. DOI: 10.1007/s11127-010-9714-6CrossRefGoogle Scholar
  26. Liu B, Yu XH, Luo EF (2010) Inter-provincial differences in basic public services in the western region-a reliminary study based on factor analysis and cluster analysis. Journal of Guizhou Institute of Finance and Economics 146: 87–91. (In Chinese)Google Scholar
  27. Liu HB, Wang Z, Liu TT (2007) The impact of the supply of local public services on the flow of inter-regional factors: an equilibrium analysis without considering the local transaction cost. Systems Engineering 25: 73–79. (In Chinese)Google Scholar
  28. Liu SQ, Zhang HQ, Xie FT (2013) Current situation and influencing factors of pluriactivity in mountainous and hilly rural areas of Sichuan Province, China. Journal of Mountain Science 10: 445–454. DOI: 10.1007/s11629-013-2415-6CrossRefGoogle Scholar
  29. Liu Z, Li M, Sun Y (2006) Study on spatial autocorrelation of urban land price distribution in Changzhou city of Jiangsu Province. Chinese Geographical Science 16: 160–164. DOI: 10.1007/s11769-006-0011-8.CrossRefGoogle Scholar
  30. Lv PH (2011) The spatial quantitative analysis of the correlation of Chinese provincial financial expenditure and economic growth. PhD Thesis, Tianjing University of Finance and Economics, Tianjin, China. pp 60–62. (In Chinese)Google Scholar
  31. Ma HQ, Han ZL, Jiang HX (2011) The characteristics and spatial differences of basic public services of cities at prefecture level and above in China. Economic Geography 31: 212–217. (In Chinese)Google Scholar
  32. Pike A, Andres RP, Tomaney J (2006) local and regional development. Routledge Press, London, UK. pp 25–27.Google Scholar
  33. Sato M (2000) Fiscal externalities and efficient transfers in a federation. International Tax and Public Finance 7: 119–139. DOI: 10.1023/A:1008709203069CrossRefGoogle Scholar
  34. Shen K, Fu We (2006) Tax competition, region game and their efficiency of growth. Economic Research Journal 38: 16–26. (In Chinese)Google Scholar
  35. Shen Y (2009) Basic characteristics, spatial disparity and its major influencing factors of service industry in China. Chinese Geographical Science 19: 314–324. DOI: 10.1007/s11769-009-0314-7.CrossRefGoogle Scholar
  36. Sole OA (2006) Expenditure spillovers and fiscal interactions: empirical evidence from local governments in Spain. Journal of Urban Economics 59:32–53. DOI: 10.1016/j.jue.2005.08.007CrossRefGoogle Scholar
  37. The State Concil (2012) The 12th National Planning of Basic Public Service System. Available online: (Accessed on 20 July 2012)Google Scholar
  38. Thenbürger MK (2002) Tax competition and fiscal equalization. International Tax and Public Finance 9: 391–408. DOI: 10.1023/A:1016511918510.CrossRefGoogle Scholar
  39. Wang L (2006) The influence of local governments transfer payment system to equalization of public service. Reform of the Economic System 1: 21–26. (In Chinese)Google Scholar
  40. Wilson JD, Wildasin DE (2004) Capital tax competition: bane or boon. Journal of Public Economics 88: 1065–1092.CrossRefGoogle Scholar
  41. Wu YM, Xu JH (2004) A spatial analysis on China’s regional economic growth clustering. Scientia Geographica Sinica 24: 654–659. (In Chinese)Google Scholar
  42. Wu YM, He JK (2008) Spatial economic analysis of R&D spillover and regional innovation cluster. Journal of Management Science in China 11: 59–66. (In Chinese)Google Scholar
  43. Xie HL, Liu LM, Li B, et al. (2006) Spatial Autocorrelation Analysis of Multi — scale Land-use Changes: A Case Study in Ongniud Banner, Inner Mongolia. Acta Geographica Sinica 61: 389–400. (In Chinese)Google Scholar
  44. Xu XD, Wang, ZL, Tan QM (2007) An empirical analysis on the knowledge spillover effect measurement. Science Research Management 28: 76–86. (In Chinese)Google Scholar
  45. Yu H, Deng W, Liu SQ (2013) Impact of relief amplitude on population and economic development in the three gorges reservoir. Resource and Environment in the Yangtze Basin 22: 687–692. (In Chinese)Google Scholar
  46. Zhao J, Xu M, Lu SL (2013) Human settlement evaluation in mountain areas based on remote sensing, GIS and ecological niche modeling Journal Of Mountain Science 10: 378–387. DOI: 10.1007/s11629-013-2413-2CrossRefGoogle Scholar
  47. Zhang MJ (2009) Empirical study of the relation differences of public service and economic development in east areas and west areas. Journal of Chongqing Technology and Business University (Social Sciences Edition) 26: 50–56. (In Chinese)Google Scholar
  48. Zhang TL, Ge L (2007) A decomposition of Moran’s I for clustering detection. Computational Statistics and Data Analysis 51: 6123–6137. DOI: 10.1016/j.csda.2006.12.032CrossRefGoogle Scholar
  49. Zheng XY, Li FH, Song SF (2013) Central government’s infrastructure investment across Chinese regions: A dynamic spatial panel data approach. China Economic Review 27: 264–276. DOI: 10.1016/j.chieco.2012.12.006CrossRefGoogle Scholar

Copyright information

© Science Press, Institute of Mountain Hazards and Environment, CAS and Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  1. 1.Institute of Mountain Hazards and EnvironmentChinese Academy of SciencesChengduChina
  2. 2.Chengdu University of Information TechnologyChengduChina
  3. 3.University of Chinese Academy of SciencesBeijingChina

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