Chen, Zhihong and Fu, Shihe and Zhang, Dayong (2010): Searching for the parallel growth of cities.
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Three urban growth theories predict parallel growth of cities. The endogenous growth theory predicts deterministic parallel growth; the random growth theory implies that city growth follows Gibrat’s law with a steady-state distribution; and the hybrid growth theory suggests the co-movement of random city growth. This paper uses the Chinese city size data from 1984-2006 and time series econometric techniques to test for parallel growth. The results from various types of stationarity tests on pooled heterogeneous cities show that city growth is random. However, once growth trend and structural change are taken into account, certain groups of cities with common group characteristics, such as similar natural resource endowment or policy regime, grow parallel.
|Item Type:||MPRA Paper|
|Original Title:||Searching for the parallel growth of cities|
|English Title:||Searching for the parallel growth of cities|
|Keywords:||Urban growth; Parallel growth; Zipf’s law; Unit root; Structural change|
|Subjects:||C - Mathematical and Quantitative Methods > C2 - Single Equation Models ; Single Variables > C22 - Time-Series Models ; Dynamic Quantile Regressions ; Dynamic Treatment Effect Models ; Diffusion Processes
R - Urban, Rural, Regional, Real Estate, and Transportation Economics > R1 - General Regional Economics > R12 - Size and Spatial Distributions of Regional Economic Activity
R - Urban, Rural, Regional, Real Estate, and Transportation Economics > R1 - General Regional Economics > R11 - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
|Depositing User:||Shihe Fu|
|Date Deposited:||22. Mar 2010 23:16|
|Last Modified:||30. Dec 2015 23:03|
Anderson, G., Ge, Y., 2005. The size distribution of Chinese cities. Regional Science and Urban Economics 36, 756-776.
Angel, S., Sheppard, S., Civco D., 2005. The dynamics of global urban expansion. Report, Transport and Urban Development Department, The World Bank.
Barro, R., Sala-i-Martin, X., 2004. Economic Growth. Cambridge: The MIT Press.
Baxter, M., 1998. Interpolating annual data into monthly or quarterly data. Government Statistical Service Methodology Series No. 6. London: Office for National Statistics.
Bernanke, B., Gertler, M., Watson, M., 1997. Systematic monetary policy and the effects of oil price shocks. Brookings Papers on Economic Activity1, 91-142.
Black, D., Henderson, V., 1997. Urban growth. NBER Working Paper No.6008.
Black, D., Henderson, V., 1999. A theory of urban growth. Journal of Political Economy 107, 252-284.
Bosker, M., Brakman, S., Garretsen, H., Schramm, M., 2008. A century of shocks: The evolution of the German city size distribution 1925-1999. Regional Science and Urban Economics 38, 330-347.
Brakman, S., Garretsen, H., Schramm, M., 2004. The strategic bombing of German cities during World War II and its impact on city growth. Journal of Economic Geography 4, 201-218. Cordoba, J., 2007. On the distribution of city sizes. Journal of Urban Economics 63, 177-197.
Davis, D., Weinstein, D., 2002. Bones, bombs and break points: the geography of economic activity. American Economic Review 92, 1269-1289.
DeJong, D., Nankervis, J., Savin, N., Whiteman, C., 1992. The power problems of unit root tests in time series with autoregressive errors. Journal of Econometrics 53, 323–343.
Dickey, D., Fuller, W., 1979. Distribution of the estimators for autoregressive time series with a unit root. Journal of the American Statistical Association 74, 427-431.
Eaton, J., Eckstein, Z., 1997. Cities and growth: Theory and evidence from France and Japan. Regional Science and Urban Economics 27, 443-474.
Eeckhout, J., 2005. Gilbrat’s law for (all) cities. American Economic Review 94, 1429-1451.
Fujita, M., Mori, T., 1996. The role of ports in the making of major cities: Self-agglomeration and hub-effect. Journal of Development Economics 49, 93-120.
Gabaix, X., 1999. Zipf’s law for cities: An explanation. Quarterly Journal of Economics 114, 739-767.
Gabaix, X., Ioannides, Y., 2004. The evolution of city size distribution, in: Henderson, V. (Ed.). Handbook of Regional and Urban Economics, Vol 4. Amsterdam: North-Holland, 2341-2378.
Gan, L., Li D., Song, S., 2006. Is the Zipf’s law spurious in explaining city-size distributions? Economics Letters 92, 256-262.
Im, K., Pesaran, M., Shin, Y., 2003. Testing for unit roots in heterogeneous panels. Journal of Econometrics 115, 53-74.
Johansen, S., Juselius, K., 1990. Maximum likelihood estimation and inference on cointegration—with applications to the demand for money. Oxford Bulletin of Economics and Statistics 52, 169-210.
Krugman, P., 1996. Confronting the mystery of urban hierarchy. Journal of the Japanese and International Economies 10, 399-418.
Kwiatkowski, D., Phillips, P., Schmidt, P., Shin, Y., 1992. Testing the null hypothesis of stationarity against the alternative of a unit root: How sure are we that economic time series have a unit root? Journal of Econometrics 54, 159-178.
Levin, A., Lin, C.F., Chu, C.J., 2002. Unit root tests in panel data: Asymptotic and finite sample properties. Journal of Econometrics 108, 1-24.
Nitsch, V., 2005. Zipf zipped. Journal of Urban Economics 57, 86-100.
Parr, J., 1985. A note on the size distribution of cities over time. Journal of Urban Economics 18, 199-212.
Rosen, K., Resnick, M., 1980. The size distribution of cities: An examination of the Pareto law and primacy. Journal of Urban Economics 8, 165-186.
Rossi-Hansberg, E., Wright, M., 2007. Urban structure and growth. Review of Economic Studies 74, 597-624.
Schwert, G.W. , 1989. Tests for unit roots: a Monte Carlo investigation. Journal of Business and Economic Statistics 7, 147–160.
Sharma, S., 2003. Persistence and stability in city growth. Journal of Urban Economics 53, 300-320.
Song, S., Zhang, K., 2002. Urbanization and city size distribution in China. Urban Studies 39, 2317-2327.
Soo, K., 2005. Zipf’s law for cities: A cross country investigation. Regional Science and Urban Economics 35, 239-263.
Zipf, G., 1949. Human Behavior and the Principle of Least Effort. Cambridge: Addison-Wesley Press.
Zivot, E., Andrews, D., 1992. Further evidence on the great crash, the oil-price shock, and the unit-root hypothesis. Journal of Business and Economic Statistics 10, 251-70.