Skip to main content

Advertisement

Log in

The increasingly long road to school in rural China: the impacts of education network consolidation on broadly defined schooling distance in Xinfeng County of rural China

  • Published:
Asia Pacific Education Review Aims and scope Submit manuscript

Abstract

In the early 2000s, China’s Ministry of Education embarked on a program of school mapping restructure (SMR) that involved closing small rural schools and opening up larger centralized schools in towns and county seats.The stated aim of the policy was to improve educational resources and raise the human capital of rural students. Any progress that may have been achieved along these dimensions comes at a price, namely that many children lost the opportunity to learn in their own village schools. This study aims to understand the impact of SMR on the distance rural children are from schooling, in terms of physical, temporal and social measures. A particular focus rests on differential impact by child and family characteristics including socioeconomic status. The data are drawn from a combination of questionnaires, interviews and document analysis, collected in a rural mountainous area, specifically Xinfeng County in Guangdong Province located in the south of China. The authors analyze these data using geographical information systems, regression and classification tree analysis to estimate increased distance and travel time for students affected by SMR, in the context of an analysis of boarding versus commuting decisions and the choice of transportation mode by economic status. This study finds that, the physical distance increased by an average of about 8.3 miles through SMR, but through the increased tendency to board, the effect on average weekly travel distance was neutral; the average travel time increased by around 75 min for those students affected by SMR; even for children more likely to be boarding, the average increase in weekly travel time was estimated at over 2 h, specifically 130 min; social distance increased also; as students were moved from a tightly-knit community school to a somewhat more anonymous institution, this deterioration affected students who were previously “privileged” in this particular respect, and they are not at a disadvantage relative to their peers at their new school. In addition, the study uncovers nuanced effects of SMR on school travel behavior and calls into question that some behavioral assumptions implicit in the planning process. Policy implications of these findings are discussed, with specific reference to China’s current initiative of “balanced development” in the education sector.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8

Similar content being viewed by others

Notes

  1. 1USD equals 6.83RMB (2009.12.31).

References

  • Attfield, I., Tamiru, M., Parolin, Bruno., & DeGrauwe, Anton. (2002). Improving micro-planning in education through a geographical information system: Studies on Ethiopia and Palestine. Paris: IIEP/UNESCO.

    Google Scholar 

  • Butler, T., & Hamnett, C. (2011). Location education: Place, choice, constraint in London. Children’s Geographies, 9(1), 35–48.

    Article  Google Scholar 

  • Cai, Z. L., & Yan, C. (2013). The risk of children’s moral development after school consolidation: Based on the empirical survey of nine provinces in China” (in Chinese). Chinese Journal of Education, 9, 5–8.

    Google Scholar 

  • Central Committee of the Communist Party of China. (1985). The education reform decision (in Chinese). Retrieved January 7, 2011. http://www.moe.gov.cn/publicfiles/business/htmlfiles/moe/moe_177/200407/2482.html.

  • Chen, X., Peng, E., & Yongsheng, X. (2007). Problems and policy suggestions for school mapping restructure in impoverished rural area (in Chinese). China Rural Education, 5, 24–25.

    Google Scholar 

  • Chen, X., Yi, H., Zhang, L., Mo, D., Chu, J., & Rozelle, S. (2014). Do poor students benefit from China’s Merger Program? Transfer path and educational performance. Asia Pacific Journal of Education, 34(1), 15–35.

    Article  Google Scholar 

  • Cooley, A. Dwight., & Floyd Koy, A. (2013). Small rural school district consolidation in Texas: An analysis of its impact on cost and student achievement. Administrative Issues Journal: Education, Practice and Research, 3(1), 45–63.

    Google Scholar 

  • Dai, Y. (2013). Social adaptation of minority nationality students when schooling in investigation in the township central school of in Y Province. Academic Forum, 269(6), 217–222.

    Google Scholar 

  • DeYoung, A. J., & Howley, C. B. (1990). The political economy of school consolidation. Peabody Journal of Education, 4(67), 63–89.

    Article  Google Scholar 

  • Di, M., Yi, H., Zhang, L., Shi, Y., Rozelle, S., & Medina, A. (2012). Transfer paths and academic performance: The primary school merger program in China. International Journal of Educational Development, 32(3), 423–431.

    Article  Google Scholar 

  • Dong, M., Chang, F., & Bai, Y. (2008). The empirical analysis of the impacts of SMR on the achievements of students: The case of Shaanxi province (in Chinese). South China Journal of Economics, 9, 42–49.

    Google Scholar 

  • Fan, X. (2006). Studies on the reason, motivation and pattern selection of adjusting primary and secondary school distribution in rural areas (in Chinese). Education & Economy, 82(1), 26–29.

    Google Scholar 

  • Fan, X. Z. (2014). Problems and countermeasures of compulsory education in county areas under the background of urbanization based on the investigation in some counties and cities of four provinces in China. Journal of Huazhong Normal University Humanities and Social Science, 53(4), 139–146. (in Chinese).

    Google Scholar 

  • Feng, C. (2012). Obstacles of inheritance of traditional rural culture during SMR (in Chinese). Tsinghua Journal of Education, 33(2), 96–99.

    Google Scholar 

  • Guo, Q. (2008). School mapping restructure in rural China: Problems, reasons and solutions (in Chinese). Journal of Huazhong Normal University (Humanities and Social Sciences), 47(1), 127–133.

  • Hanley, F. P. (2007). Transportation cost changes with statewide school district consolidation. Socio-Economic Planning Sciences, 41(2), 163–179.

  • Hargreaves, L., Kvalsund, R., & Galton, M. (2009). Reviews of research on rural schools and their communities in British and Nordic countries: Analytical perspectives and cultural meaning. International Journal of Education Research, 48, 80–88.

    Article  Google Scholar 

  • Hite, S. J., & Hite, J. M. (2004). Geographical information systems in education planning and management: A training module created for the IIEP/UNESCO. Paris: IIEP/UNESCO.

    Google Scholar 

  • Hu, J., & Wu, X. (2013). School mapping restructure in rural China_Perspective of nearer schooling distance. Tsinghua Journal of Education, 34(1), 98–103.

    Google Scholar 

  • Jia, Y., & Zeng, X. (2012). Negative impact from school consolidation on educational accessibility in rural China: Based on a survey in nine provinces (in Chinese). Journal of Huazhong Normal University (Humanities and Social Sciences), 51(3), 143–153.

    Google Scholar 

  • Kearns, R. A., Lewis, N., McCreanor, T., & Witten, K. (2009). The status quo is not an option’: Community impacts of school closure in South Taranaki, New Zealand. Journal of Rural Studies, 25, 31–140.

    Article  Google Scholar 

  • Kennedy, N., & MacDougall, M. (2007). School closure process review: Review committee report and recommendations. Retrieved 14 May 2014. http://pomquet.ednet.ns.ca/School_Closure_Review_Final_Report.pdf.

  • LaPlante, J. R. (2005). School consolidation: An ineffective way of improving education (Vol. 2(9), pp. 1–2). Wichita: Flint Hills Center for Public Policy.

  • Lehman, D. (2003). Bringing the school to the children: Shortening the path to EFA. Retrieved 19 May 2014. https://openknowledge.worldbank.org/handle/10986/10377.

  • Lei, W., & Zhang, J. (2011). Construction of working procedure for school mapping restructure: Empirical study on participation and satisfaction of people (in Chinese). Global Education, 7(7), 67–73.

    Google Scholar 

  • Lewis, J. (2004). The long and winding road: Consolidation-the separation of school and community. Retrieved 9 February 2005. http://www.challengewv.org.

  • Liu, C., Zhang, L., Luo, R., Rozelle, S., & Loyalka, P. (2010). The effect of primary school mergers on academic performance of students in rural China. International Journal of Educational Development, 30(6), 570–585.

    Article  Google Scholar 

  • Lu, K., & Du, Y. (2010). Effects of school mapping restructure on student academic score: Analysis based on the two-level value-added model (in Chinese). Tsinghua Journal of Education, 31(6), 64–73.

    Google Scholar 

  • McHenry-Sorber, E. (2009). School consolidation in Pennsylvania: An analysis of governor rendell’s policy proposal. The beacon: A publication of the Pennsylvania school study council, 5(4), 1–17.

  • Ministry of Education of the People’s Republic of China. (2001). Education statistical yearbook of China, 2001 (in Chinese). Beijing: People’s Education Press.

    Google Scholar 

  • Ministry of Education of the People’s Republic of China. (2012a). Education statistical yearbook of China, 2010 (in Chinese). Beijing: People’s Education Press.

    Google Scholar 

  • Ministry of Education of the People’s Republic of China. (2012b). Policy suggestions for normalization of school mapping restructure. http://www.moe.gov.cn/publicfiles/business/htmlfiles/moe/s6197/201207/139758.html.

  • Patterson, C. (2006). School district consolidation and public school efficiency: What does the research say? Retrieved 14 May 2014. http://www.texaspolicy.com/pdf/2006-02-PP-consolidation-cp.pdf.

  • Qin, Y. Y., & Sun, Y. (2011). Research on the pursuits and constraints in adjusting school layout. Educational Research, 377(6), 94–102.

    Google Scholar 

  • Qin, Y. Y., & Zeng, W. J. (2014). Reflection on the social costs of school consolidation in rural areas. Research in Educational Development, 10, 39–44. (in Chinese).

    Google Scholar 

  • Schlossberg, M., Phillips, P. P., Johnson, B., & Parker, B. (2005). How do they get there? A spatial analysis of a ‘Sprawl School’ in oregon. Planning, Practice & Research, 20(2), 147–162.

    Article  Google Scholar 

  • Sell, R. S., Leistritz, F. L., & Thompson, J. M. (1996). Socio-economic impacts of school consolidation on host and vacated communities. Report: North Dakota State Department of Agricultural Economics. 347.

  • Sharif, M. S. (2010). School district consolidation study in 10 Michigan counties. Is district consolidation cost effective? What is the alternative to consolidation? Retrieved 15 May 2014. http://media.mlive.com/news_impact/other/textreport.pdf.

  • Shaun, E. W. (2011). Accessibility to public high schools and school performance in metpopolitan Baton Rouge Louisiana 1990–2010. Master Thesis of Louisiana State University.

  • Sher, J. P., & Tompkins, R. B. (1977). Economy, efficiency and equity: The myths of rural school and district consolidation. In J. P. Sher (Ed.), Education in Rural America (pp. 43–77). Boulder, CO: Westview Press.

    Google Scholar 

  • Shpitser, I., & Pearl, J. (2009). Effects of treatment on the treated: Identification and generalization. Retrieved 19 May 2014. http://arxiv.org/ftp/arxiv/papers/1205/1205.2615.pdf.

  • Singleton, A. D., Longley, P. A., Allen, R., & O’Brien, O. (2010). Estimating secondary school catchment areas and the spatial equity of access. Computers, Environment and Urban Systems, 35(3), 241–249.

    Article  Google Scholar 

  • Spradlin, T. E., Carson, F. R., Hess, S. E., & Plucker, J. A. (2010). Revisiting school district consolidation issues. Center for Evaluation & Education Policy-Education Policy Brief, 8(3), 1–20.

    Google Scholar 

  • Standard & Poor’s. (2007). Study of the cost-effectiveness of consolidating Pennsylvania districts. Profiles of Paired districts. New York: Standard & Poor’s School Evaluation Services.

  • State Council of the People’s Republic of China. (2001). The decision to reform and develop basic education (in Chinese). Retrieved 30 September 2011. www.edu.cn/20010907/3000665.shtml.

  • State Council of the People’s Republic of China. (2012). Policy suggestions for normalization of school mapping restructure from the General office of the state council. http://www.gov.cn/zhengce/content/2012-09/07/content_5334.html.

  • Stuart, E. A. (2010). Matching methods for causal inference: A review and a look forward. Statistical Science, 25(1), 1–21.

    Article  Google Scholar 

  • Wan, M., & Bai, L. (2010). ‘Scale Benefit’ or ‘Justice and Equity’: Reflection on the mega-school phenomenon in adjusting the layout of rural schools (in Chinese). Educational Research, 363(4), 34–39.

    Google Scholar 

  • Wang, H. (2010). Where will the layout adjustment of rural schools go? The dispute on combining or keeping rural (in Chinese). Journal of Norwest Normal University, 247(5), 156–161.

    Google Scholar 

  • Wang, D. (2012) Investigation on school mapping restructure in rural China (in Chinese). Journal of Huazhong Normal University (Humanities and Social Sciences), 6, 141–146.

  • Wang, J., & Lü, X. (2007). Educational equality and school mapping restructure in Rural China (in Chinese). Gansu Social Sciences, 6, 85–88.

    Google Scholar 

  • Wu, Z., & Shi, N. (2011). School mapping restructure in China: 10-year progress and policy issues (in Chinese). Education Research, 7, 22–30.

    Google Scholar 

  • Xie, Y., Xu, L., & Zhang, J. M. (2014). Policy implementation of school layout adjustment: The perspective of educational administration at county level. Education and Economics, 1, 17–21. (in Chinese).

    Google Scholar 

  • Xinfeng County Government. (2011). The annual government work report of Xinfeng county in 2010 (in Chinese). Retrieved 19 May 2014. http://www.xinfeng.gov.cn/website/xfPortal/zwgk/2011/17149_0.html.

  • Yang, D., & Wang, S. (2013). From extending teaching to remote areas and running school in various forms to canceling teaching centers and merging schools a trade-off between equity and efficiency of the policy on rural compulsory education. Tsinghua Journal of Education, 34(5), 25–34.

    Google Scholar 

  • Ye, Q. N. (2012). Evaluation of the rural school adjustment of layout: Parent perspective. Research in Educational Development, 24, 14–18. (in Chinese).

    Google Scholar 

  • Zhang, X. (2013). School mapping restructure in Rural China: Progress and influences (in Chinese). Journal of Educational Science of Hunan Normal University, 12(6), 59–63.

    Google Scholar 

  • Zhang, H., & Dai, C. (2011). Further or nearer? Schooling distance of students in primary and secondary schools in Su Town (in Chinese). Shanghai Education, 11, 49–57.

    Google Scholar 

  • Zhao, D. (2012). School mapping restructure in Rural China: Process, problem and conclusion. Analisis of GIS (in Chinese). Education & Economy, 1, 13–16.

    Google Scholar 

  • Zhao, J. (2013). Policy of school mapping restructure in Rural China: Progress, reflection and outlook (in Chinese). Education Development Research., 8, 57–64.

    Google Scholar 

  • Zhao, D., & Parolin, B. (2012). School mapping restructure in Rural China: Achievements, problems and implications. Asia Pacific Education Review, 13(4), 713–726.

    Article  Google Scholar 

  • Zhao, D., & Zeng, X. (2013). Education resource sharing and equivalence: Experiences based on American rural school merger. Research in Educational Development, 8, 65–69.

    Google Scholar 

  • Zhou, F., & Xian, F. (2013). Rural-school closure policy in the context of sustainable development: A case study. Research in Educational Development, 15, 51–56.

    Google Scholar 

Download references

Acknowledgments

This paper is one of the research results of the project “Construction of sharing model of educational resources through GIS econometrics analysis: background of balanced development of regional compulsory education in Northwest China,” funded by the National Natural Science Foundation of China (Project Number: 71203180), and one of another project “SMR in western rural China: Issues of small rural schools: empirical study by GIS application,” funded by Chinese Ministry of Education (Project Number: 12YJC880157). We are very grateful to International Institute for Applied Systems Analysis (IIASA) and OEAD (Österreichischer Austauschdienst) for their support for our research cooperation on Chinese educational development, especially the topic of education network consolidation in rural China. The authors wish to express their thanks to Professor Butz Bill, in POP program, IIASA, for his suggestions and comments on a draft of this paper.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Dan Zhao.

Appendix

Appendix

See Table 8.

Table 8 Descriptive statistics of main variables

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zhao, D., Barakat, B. The increasingly long road to school in rural China: the impacts of education network consolidation on broadly defined schooling distance in Xinfeng County of rural China. Asia Pacific Educ. Rev. 16, 413–431 (2015). https://doi.org/10.1007/s12564-015-9380-y

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12564-015-9380-y

Keywords

Navigation