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2019 | OriginalPaper | Buchkapitel

11. Modelling Inter-urban Migration in an Open Population Setting: The Case of New Zealand

verfasst von : Omoniyi B. Alimi, David C. Maré, Jacques Poot

Erschienen in: Population, Place, and Spatial Interaction

Verlag: Springer Singapore

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Abstract

In this chapter, we revisit the modelling of gross inter-urban migration flows in New Zealand. As in previous work, we identify a range of geographic, demographic, economic and climatic characteristics of urban areas, which are statistically significant determinants of migration. However, we argue that in a small but open population such as New Zealand (in which one quarter of the resident population is foreign born and one sixth of the New Zealand-born population lives abroad), inter-urban migration should be modelled jointly with rural-urban and international migration. We proceed to estimate a modified gravity model of migration in which the flow matrix is augmented with rural-urban and international migration. Migration data are obtained from four successive population censuses since 1996. We find notable differences in the impact of migration determinants when comparing urban-urban, urban-rural and urban-world migration flows. The estimation of these models is straightforward and does not require collection of data on rural areas or foreign countries. Hence, the method can be easily applied to other case studies in which international and/or rural-urban migration are important components of population churn.

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Vorheriges Kapitel Age Articulation of Australia’s International Migration Flows

Nächstes Kapitel Baby Boomers’ Paths into Retirement

According to the census, the usually resident population of New Zealand in 2013 was 4.2 million, of whom 75% were New Zealand born. At the time of the 2016 Australian census, there were 518,000 New Zealand-born residents of Australia. The total New Zealand diaspora is, in terms of citizenship, estimated to be around 750,000 (https://en.wikipedia.org/wiki/New_Zealanders), but less in terms of country of birth—perhaps around 600,000. Hence, of the global number of New Zealand born that equals 0.75 × 4,200,000 + 600,000 = 3,750,000, about one in six lives abroad.

Regarding such personal characteristics, see, for example, on marital status, Maxwell (1988); on education, Greenwood (1969) and Caldwell (1968); on employment status, Pissarides and McMaster (1990); and on networks, Curran and Rivero-Fuentes (2003), Pedersen et al. (2008) and Michaelides (2011).

On income, see, for example: Sjaastad (1962) and Greenwood (1969); on regional unemployment, Westerlund (1998) and Cebula and Alexander (2006); on housing, Jeanty et al. (2010) and Modestino and Dennett (2013); and on climate, Graves (1979); Rappaport (2007) and Poston et al. (2009).

See, for example, Frey (1996), Borjas et al. (1996), Card and DiNardo (2000), Borjas (2006) and Glitz (2012).

See, for example, Poot (1986), Maré and Timmins (2000), Maré and Choy (2001), Maré et al. (2007), Sloan (2013), Poot et al. (2016) and Cameron and Poot (2019).

In the estimation in Stata, we have set these values to 0.

The economic and demographic attributes of urban areas are lagged one period to limit the impact of potential endogeneity of the regressors. It is expected that economic and demographic conditions at the time of the previous census are likely to have impacted the migration flow over the subsequent intercensal period. At the same time, a shock to migration impacts on current and future population, but not on past population. Lagging the explanatory variables is even more appropriate when we consider that the migration data are arrived at by checking whose area of residence is different from where they were 5 years ago. Given that expectations are often based on extrapolations from the past, a person whose current residence in the 2013 census is reported as Wellington but who resided in Auckland at the time of the 2006 census is more likely to have changed residence because of conditions in Auckland and Wellington prior to 2006, and including 2006, than subsequently.

Because migration flows in gravity models are specified in logarithms, zero flows present a challenge as the logarithm of zero is not defined. See, e.g. Ramos (2016) for alternative approaches.

To preserve confidentiality, New Zealand census counts are rounded to multiples of 3: an actual count of 0 is reported as such, but an actual count of 1 is rounded down to 0 with probability 2/3 and rounded up to 3 with probability 1/3, with the reverse probabilities for rounding a count of 2. If the low frequencies were uniformly distributed, a rounded value of 0 is therefore reported in 2/3 of the cases rather than 1/3. However, the distribution of low frequencies is unlikely to be uniform, with 0 likely to be much more common than 1 or 2, particularly in migration matrices referring to small areas or relatively small groups.

Estimations in which zero migration flows are excluded are available from the authors upon request.

Given that censuses are held at the same time every 5 years (but 7 years between the 2006 and 2013 census), cohorts can be followed over time. After accounting for immigration, internal migration and age and sex specific mortality rates, emigration can be calculated as the residual change in the size of a cohort. Of course the resulting numbers are measured with some error, due to census undercounting, etc.

Three types of urban areas exist: a main urban area is one with a population of at least 30,000 people, a secondary urban area is one with a population of less than 30,000 people but where more than 20% of the employed population works in a main urban area and a minor urban area is one with a population of less than 30,000 people and where less than 20% of the employed population works in a main urban area.

Manukau city centre was the reference point for the South Auckland urban area, Henderson for West Auckland, North Shore Information centre for North Auckland and Auckland city centre for the Central Auckland urban area.

Average rainfall and sunshine information was available for only 20 out of the 40 urban areas. For urban areas where data were unavailable, data from the nearest urban area within a 100 km range were used to proxy for the missing information.

The slight difference in the coefficient of distance in Column (2) as compared with Column (1) is entirely due to the additional 640 (6880–6240) observations (representing migration between urban areas and overseas or rural areas), which are assumed to be affected by population in an identical way as the interurban flows. Once the population impact is allowed to differ between interurban and other flows, the distance effect is again the same as in column (1), as can be seen in column (3).

The six biggest cities considered are Auckland, Christchurch, Wellington, Hamilton, Tauranga and Dunedin.

This effect is statistically significant at the 1% level in a regression that excludes the observations with zero gross migration.

In a regression that excludes the observations with zero gross migration, the effect is statistically significant at the 1% level, but the coefficient decreases to −2.482.

Excluding the zero migration flows (corresponding to predominantly smaller urban areas), the coefficient in origin income growth becomes −6.098 and is statistically significant at the 1% level.

Mayda (2010) examined the determinants of migration into 14 OECD countries by country of origin between 1980 and 1995. Liebig and Sousa-Poza (2004) used a dataset that covers over 23 countries, including the countries of the EU, the USA, Canada, Australia and New Zealand.

The Theil index is one of the generalised entropy (GE) measures of inequality. See Conceição and Ferreira (2000) for details.

This effect is no longer statistically significant when observations with zero migration are excluded. However, in the latter case, emigration is lower from urban areas with high inequality, with a coefficient of −1.949 (compare with −3.196 in column 2(c)) that is statistically significant at the 5% level.

See, e.g. for the USA, Blanchard and Katz (1992); Europe, Decressin and Fatás (1995); Australia, Debelle and Vickery (1999); and New Zealand, Choy et al. (2002).

Alimi O, Maré DC, Poot J (2016) Income inequality in New Zealand regions. In: Spoonley P (ed) Rebooting the regions: why low or zero growth needn’t mean the end of prosperity. Massey University Press, Auckland, pp 177–212

Blanchard O, Katz LF (1992) Regional evolutions. Brook Pap Econ Act 1:1–75CrossRef

Borjas GJ (1987) Self-selection and the earnings of immigrants. Am Econ Rev 77(4):531–553

Borjas GJ (2006) Native internal migration and the labor market impact of immigration. J Hum Resour 41(2):221–258CrossRef

Borjas GJ, Freeman RB, Katz LF (1996) Searching for the effect of immigration on the labor market. Working Paper Number w5454. National Bureau of Economic Research

Caldwell JC (1968) Determinants of rural-urban migration in Ghana. Popul Stud 22(3):361–377CrossRef

Cameron MP, Poot J (2019) The estimation and interpretation of coefficients in panel gravity models of migration. Lett Spat Resour Sci 12(1):9–15CrossRef

Card D, DiNardo JE (2000) Do immigrant inflows lead to native outflows? Working Paper Number w7578). National Bureau of Economic Research

Carrington WJ, Detragiache E, Vishwanath T (1996) Migration with endogenous moving costs. Am Econ Rev 86(4):909–930

Cebula RJ, Alexander GM (2006) Determinants of net interstate migration, 2000–2004. J Reg Anal Policy 36(2):116–123

Cheshire PC, Magrini S (2006) Population growth in European cities: weather matters-but only nationally. Reg Stud 40(1):23–37CrossRef

Choy WK, Maré DC, Mawson P (2002) Modelling regional labour market adjustment in New Zealand. Working Paper No. 02/01. New Zealand Treasury

Conceição P, Ferreira P (2000) The young person’s guide to the Theil index: suggesting intuitive interpretations and exploring analytical applications. UTIP Working Paper No. 14. University of Texas

Curran SR, Rivero-Fuentes E (2003) Engendering migrant networks: the case of Mexican migration. Demography 40(2):289–307CrossRef

Debelle G, Vickery J (1999) Labour market adjustment: Evidence on interstate labour mobility. Aust Econ Rev 32(3):249–263CrossRef

Decressin J, Fatás A (1995) Regional labor market dynamics in Europe. Eur Econ Rev 39(9):1627–1655CrossRef

Denslow D, Eaton PJ (1984) Migration and intervening opportunities. South Econ J 51(2):369–387CrossRef

Duranton G, Puga D (2004) Micro-foundations of urban agglomeration economies. In: Henderson JV, Thisse J-F (eds) Handbook of regional and urban economics, vol 4. Chapter 48, pp 2063–2117

Esipova N, Pugliese A, Ray J (2013) The demographics of global internal migration. Migrat Policy Pract J 3(2):3–5

Etzo I (2008) Determinants of interregional migration in Italy: a panel data analysis. J Reg Sci 51(5):948–966CrossRef

Evans AW (1993) Interregional equilibrium: a transatlantic view. J Reg Sci 33(1):89–97CrossRef

Fan CC (2005) Modeling interprovincial migration in China, 1985–2000. Eurasian Geogr Econ 46(3):165–184CrossRef

Frey WH (1996) Immigration, domestic migration and demographic Balkanization in America: new evidence for the 1990s. Popul Dev Rev 22(4):741–763CrossRef

Glaeser E (2012) The triumph of the city: how our greatest invention makes us richer, smarter, greener, healthier, and happier. Penguin Press, New York

Glitz A (2012) The labor market impact of immigration: a quasi-experiment exploiting immigrant location rules in Germany. J Labor Econ 30(1):175–213CrossRef

Gorbey S, James D, Poot J (1999) Population forecasting with endogenous migration: an application to trans-Tasman migration. Int Reg Sci Rev 22(1):69–101CrossRef

Graves PE (1979) A life-cycle empirical analysis of migration and climate, by race. J Urban Econ 6(2):135–147CrossRef

Greenwood MJ (1969) An analysis of the determinants of geographic labor mobility in the United States. Rev Econ Stat 51(2):189–194CrossRef

Greenwood MJ (1975) Research on internal migration in the United States: a survey. J Econ Lit 13(2):397–433

Greenwood MJ (1997) Internal migration in developed countries. In: Rosenzweig MR, Stark O (eds) Handbook of population and family economics. Volume 1B. Elsevier, Amsterdam, pp 647–720CrossRef

Hempstead K (2003) Immigration and native migration in New York City, 1985–1990. Popul Res Policy Rev 22(4):333–349CrossRef

Hunt GL (1993) Equilibrium and disequilibrium in migration modelling. Reg Stud 27(4):341–349CrossRef

Hunt GL, Mueller RE (2004) North American migration: returns to skill, border effects, and mobility costs. Rev Econ Stat 86(4):988–1007CrossRef

Iammarino S, Rodriguez-Pose A, Storper M (2019) Regional inequality in Europe: evidence, theory and policy implications. J Econ Geogr 19(2):273–298CrossRef

Jeanty P, Partridge M, Irwin E (2010) Estimation of a spatial simultaneous equation model of population migration and housing price dynamics. Reg Sci Urban Econ 40(5):343–352CrossRef

Karemera D, Oguledo VI, Davis B (2000) A gravity model analysis of international migration to North America. Appl Econ 32(13):1745–1755CrossRef

King R, Skeldon R (2010) ‘Mind the gap!’ Integrating approaches to internal and international migration. J Ethn Migr Stud 36(10):1619–1646CrossRef

Kritz MM, Gurak DT (2001) The impact of immigration on the internal migration of natives and immigrants. Demography 38(1):133–145CrossRef

LeSage J, Pace RK (2008) Spatial econometric modelling of origin-destination flows. J Reg Sci 86(3):393–421CrossRef

LeSage J, Pace RK (2009) Chapter 9: Spatial econometric interaction models. In: Introduction to spatial econometrics. CRC Press, Boca RatonCrossRef

Liebig T, Sousa-Poza A (2004) Migration, self-selection and income inequality: an international analysis. Int Rev Soc Sci 57(1):125–146

Long LH (1991) Residential mobility differences among developed countries. Int Reg Sci Rev 14(2):133–147CrossRef

Maré DC, Choy WK (2001) Regional labour market adjustment and the movements of people: a review. Working Paper No. 01/08. New Zealand Treasury

Maré DC, Timmins J (2000) Internal migration and regional adjustment: some preliminary issues. In: Morrison P (ed) Labour, employment and work (LEW) in New Zealand: proceedings of the LEW9 conference. Geography Department and Industrial Relations Centre, Victoria University of Wellington, Wellington

Maré DC, Morten M, Stillman S (2007) Settlement patterns and the geographic mobility of recent migrants to New Zealand. N Z Econ Pap 41(2):163–195

Maxwell NL (1988) Economic returns to migration: marital status and gender differences. Soc Sci Q 69(1):108–121

Mayda AM (2010) International migration: a panel data analysis of the determinants of bilateral flows. J Popul Econ 23(4):1249–1274CrossRef

McCann P, Poot J, Sanderson L (2010) Migration, relationship capital and international travel: theory and evidence. J Econ Geogr 10(3):361–387CrossRef

Michaelides M (2011) The effect of local ties, wages, and housing costs on migration decisions. J Socio-Econ 40(2):132–140CrossRef

Mincer J (1974) Schooling, experience and earnings. Columbia University Press, New York

Modestino AS, Dennett J (2013) Are American homeowners locked into their houses? The impact of housing market conditions on state-to-state migration. Reg Sci Urban Econ 43(2):322–337CrossRef

Nijkamp P, Poot J (1998) Spatial perspectives on new theories of economic growth. Ann Reg Sci 32(1):7–37CrossRef

Ozgen C, Nijkamp P, Poot J (2010) The effect of migration on income growth and convergence: meta-analytic evidence. Pap Reg Sci 89(3):537–561CrossRef

Pedersen PJ, Pytlikova M, Smith N (2008) Selection and network effects: migration flows into OECD countries 1990–2000. Eur Econ Rev 52(7):1160–1186CrossRef

Peeters L (2012) Gravity and spatial structure: the case of interstate migration in Mexico. J Reg Sci 52(5):819–856CrossRef

Phan D, Coxhead I (2010) Inter-provincial migration and inequality during Vietnam’s transition. J Dev Econ 91(1):100–112CrossRef

Pissarides CA, McMaster I (1990) Regional migration, wages and unemployment: Empirical evidence and implications for policy. Oxf Econ Pap 42(4):812–831CrossRef

Plane DA (1993) Demographic influences on migration. Reg Stud 27(4):375–383CrossRef

Plane DA, Heins F (2003) Age articulation of U.S. inter-metropolitan migration flows. Ann Reg Sci 37(1):107–130CrossRef

Poot J (1986) A system approach to modelling the inter-urban exchange of workers in New Zealand. Scott J Polit Econ 33:249–274CrossRef

Poot J (1995) Do borders matter? A model of interregional migration in Australasia. Australas J Reg Stud 1(2):159–182

Poot J, Alimi O, Cameron M, Maré D (2016) The gravity model of migration: the successful comeback of an ageing superstar in regional science. Invest Reg J Reg Res 36:63–86

Poston DL, Zhang L, Gotcher DJ, Gu Y (2009) The effect of climate on migration: United States, 1995–2000. Soc Sci Res 38(3):743–753CrossRef

Ramos R (2016) Gravity models: a tool for migration analysis. IZA World Labor. https://doi.org/10.15185/izawol.239

Rappaport J (2007) Moving to nice weather. Reg Sci Urban Econ 37(3):375–398CrossRef

Ravenstein EG (1885) The laws of migration, part 1. J R Stat Soc 48(2):167–235

Ravenstein EG (1889) The laws of migration, part 2. J R Stat Soc 52(2):241–305CrossRef

Roskruge M, Grimes A, McCann P, Poot J (2013) Homeownership, social capital and satisfaction with local government. Urban Stud 50(12):2517–2534CrossRef

Schwartz A (1973) Interpreting the effect of distance on migration. J Polit Econ 81(5):1153–1169CrossRef

Sjaastad LA (1962) The costs and returns of human migration. J Polit Econ 70(5):80–93CrossRef

Sloan M (2013) The post-move satisfaction of individuals moving within New Zealand. Doctoral thesis, Victoria University of Wellington, Wellington

Stark O (2006) Inequality and migration: a behavioral link. Econ Lett 91(1):146–152CrossRef

Statistics New Zealand (2013). 2013 Census QuickStats about national highlights. Retrieved from www.stats.govt.nz

Stouffer SA (1960) Intervening opportunities: a theory relating mobility and distance. J Reg Sci 2(1):1–26CrossRef

Westerlund O (1998) Internal migration in Sweden: the effects of mobility grants and regional labour market conditions. Labour 12(2):363–388CrossRef

Wright RA, Ellis M, Reibel M (1997) The linkage between immigration and internal migration in large metropolitan areas in the United States. Econ Geogr 73(2):234–254CrossRef

Zelinsky W (1971) The hypothesis of the mobility transition. Geogr Rev 61(2):219–249CrossRef

Zipf GK (1946) The P1 P2/D hypothesis: on the intercity movement of persons. Am Sociol Rev 11(6):677–686CrossRef

Titel: Modelling Inter-urban Migration in an Open Population Setting: The Case of New Zealand
verfasst von: Omoniyi B. Alimi
David C. Maré
Jacques Poot
Verlag: Springer Singapore
Buch: Population, Place, and Spatial Interaction
Print ISBN: 978-981-13-9230-6

Electronic ISBN: 978-981-13-9231-3

Copyright-Jahr: 2019
DOI: https://doi.org/10.1007/978-981-13-9231-3_11

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