The Chicken and Egg Problem: Obesity and the Urban Monocentric Model

  • Yuval ArbelEmail author
  • Chaim Fialkoff
  • Amichai Kerner


Recent medical studies have examined ways to offer enhanced spatial planning opportunities to increase a person’s level of physical activity. These studies demonstrate a decreasing prevalence of obesity in denser and less car-oriented communities with mixed land uses. Yet, these studies raise the chicken and egg problem, namely, whether or not prevalence of obesity motivate change of residence, or whether or not people who are more physically active prefer to live in denser and less car-oriented communities? Based on a two-year longitudinal survey of the Israeli Central Bureau of Statistics (CBS), we explore this question using a 3SLS methodology, where the two endogenous variables include: BMI and apartment size. The age of the housing unit in years and the structure type provide the exogenous variables that identify the BMI equation. This empirical model is justified based on the urban monocentric model, which forecasts smaller apartments in multi-story structures with smaller building footprints, where price of land is expensive (at the central cities), which, in turn, give rise to denser and less car-oriented communities. In contrast, single family units with larger lot size, which give rise to more car-oriented communities, are typical of suburbs, where the price of land is relatively cheap. Moreover, the natural evolution theory of suburbanization process explains the correlation between construction age, type, income level, and location in central cities. Results of our study give rise to the possibility that for the Jewish female and male populations, health considerations may influence housing choice, but not vice versa. For other populations (i.e., Arab females and males), and with one exception, no correlation between BMI and housing choice is found. Public policy implications of our study suggest that health-related considerations might be employed to promote return to denser urban areas/central cities (reverse suburbanization) particularly among the Jewish population group.


Suburbanization Body mass index Obesity 

JEL Classification

H75 I12 R21 R58 



  1. Alperovich, G. (1997). Israeli settlement in occupied territories and its impact on housing prices in Israel. Journal of Regional Science, 37(1), 127–144.CrossRefGoogle Scholar
  2. Arbel, Y., Fialkoff, C., & Amichai, K. (2019). Determinants of ownership rates among new immigrants to Israel: Ethnic origin, and tenure mode in the Host Country. Journal of Real Estate Literature, 27(2), 1–46 Forthcoming.Google Scholar
  3. Arroyo-Johnson, C., & Mincey, K. D. (2016). Obesity epidemiology worldwide. Gastroenterology Clinics of North America, 45(4), 571–579.CrossRefGoogle Scholar
  4. Atalayer, D., Pantazatos, S. P., Gibson, C. D., McOuatt, H., Puma, L., Astbury, N. M., & Geliebter, A. (2014). Sexually dimorphic functional connectivity in response to high vs. low energy-dense food cues in obese humans: An fMRI study. NeuroImage, 100, 405–413.CrossRefGoogle Scholar
  5. Barone, A., & Nese, A. (2016). Educational outcomes, gender and body weight: Evidence from Italy. Rivista Internazionale di Scienze Sociali, 124(3–4), 257–282.Google Scholar
  6. Baum-Snow, N. (2007). Did highway cause suburbanization? Quarterly Journal of Economics, 122, 775–805.CrossRefGoogle Scholar
  7. Bourassa, S. C. (2000). Ethnicity, endogeneity, and housing tenure choice. The Journal of Real Estate Finance and Economics, 20(3), 323–341.CrossRefGoogle Scholar
  8. Creatore, M. I., Glazier, R. H., Moineddin, R., Fazli, G. S., Johns, A., Gozdyra, P., Matheson, F. I., Kaufman-Shriqui, V., Rosella, L. C., Manuel, D. G., & Booth, G. L. (2016). Association of neighborhood walkability with change in overweight, obesity, and diabetes. JAMA, 315(20), 2211–2220.CrossRefGoogle Scholar
  9. Deng, Y., & Wu, J. (2014). Economic returns to residential green building investment: The developers’ perspective. Regional Science and Urban Economics, 47, 35–44.CrossRefGoogle Scholar
  10. Eid, J., Overman, H. G., Puga, D., & Turner, M. A. (2008). Fat city: Questioning the relationship between urban sprawl and obesity. Journal of Urban Economics, 63, 385–404.CrossRefGoogle Scholar
  11. Ewing, R., Schmid, T., Killingsworth, R., Zlot, A., & Raudenbush, S. (2003). Relationship between urban sprawl and physical activity, obesity, and morbidity. American Journal of Health Promotion, 18(1), 47–57. Scholar
  12. Ewing, R., Meakins, G., Hamidi, S., & Nelson, A. C. (2014). Relationship between urban sprawl and physical activity, obesity, and morbidity – Update and refinement. Health and Place, 26, 118–126. Scholar
  13. Furman, D., Hejblum, B. P., Simon, N., Jojic, V., Dekker, C. L., Thiébaut, R., Tibshirani, R. J., & Mark M. D. (2014). Systems Analysis of Sex Differences Reveals an Immunosuppressive Role for Testosterone in the Response to Influenza Vaccination. PNAS, 111(2),869–874.Google Scholar
  14. Frank, L. D., Saelens, B. E., Powell, K. E., & Chapman, J. E. (2007). Stepping towards causation: Do built environments or neighborhood and travel preferences explain physical activity, driving, and obesity? Social Science and Medicine, 65(9), 1898–1914.CrossRefGoogle Scholar
  15. Griffin, B. A., Eibner, C., Bird, C. E., Jewell, A., Margolis, K., Shih, R., Slaughter, M. E., Whitsel, E. A., Allison, M., & Escarce, J. J. (2013). The relationship between urban sprawl and coronary heart disease in women. Health and Place, 20, 51–61.CrossRefGoogle Scholar
  16. Goedecke, J. H., George, C., Veras, K., Peer, N., Lombard, C., Victor, H., Steyn, K., & Levitt, N. S. (2016). Sex differences in insulin sensitivity and insulin response with increasing age in black south African men and women. Diabetes Research and Clinical Practice, 122, 207–214.CrossRefGoogle Scholar
  17. Greene, W. H. (2012). Econometric analysis (7th ed.). Pearson Education Limited.Google Scholar
  18. Hendry, D. F. (1980). Econometrics – Alchemy or science? Economica, 47, 387–406.CrossRefGoogle Scholar
  19. Israeli Central Bureau of Statistics: Longitudinal Survey 2015–2016.Google Scholar
  20. Johnston, J., & Dinardo, J. (1997). Econometric methods (4th ed.). New York: McGraw Hill International Edition.Google Scholar
  21. Lopez, R. (2004). Urban sprawl and risk for being overweight or obese. American Journal of Public Health, 94(9), 1574–1579.CrossRefGoogle Scholar
  22. McDonald, J. F., & McMillen, D. (2011). Urban economics and real estate, Theory and Policy (2nd ed.). Hoboken: Wiley Incorporated.Google Scholar
  23. Mieszkowsky, P., & Mills, E. S. (1993). The causes of metropolitan suburbanization. Journal of Economic Perspectives, 7(3), 135–147.CrossRefGoogle Scholar
  24. Mills, E. S., & Hamilton, B. W. (1989). Urban economics (4th ed., pp. 425–434). Appendix A: Simplified Mathematical Model of Urban Structure.Google Scholar
  25. Nivola, P. (1998). Fat City: Understanding American urban form from a transatlantic perspective. The Brookings Review, 11(4), 17–20.CrossRefGoogle Scholar
  26. OECD/EU. (2016). Health at a glance: Europe 2016 – State of health in the EU cycle. Paris: OECD Publishing. Scholar
  27. Ogden, C. L., Carroll, M. D., Curtin, L. R., McDowell, M. A., Tabak, C. J., & Flegal, K. M. (2006). Prevalence of overweight and obesity in the United States, 1999–2004. Journal of the American Medical Association, 295(13), 1549–1555.CrossRefGoogle Scholar
  28. O’Sullivan, A. (2012). Urban economics, Eight Edition. Chapter 6: Urban Land Rent: 127–151. Chapter 7: Urban Sprawl: 181–184.Google Scholar
  29. Painter, G., Gabriel, S., & Myers, D. (2001). Race, immigrant status, and housing tenure choice. Journal of Urban Economics, 49(1), 150–167.CrossRefGoogle Scholar
  30. Plosser, C. I., & Schwert, W. (1978). Money, income and sunspots: Measuring economic relationships and the effect of differencing. Journal of Monetary Economics, 4, 637–660.CrossRefGoogle Scholar
  31. Prioreschi, A., Wrottesley, S. V., Cohen, E., Reddy, A., Said-Mohamed, R., Twine, R., Tollman, S. M., Kahn, K., Dunger, D. B., & Norris, S. A. (2017). Examining the relationships between body image, eating attitudes, BMI, and physical activity in rural and urban South African young adult females using structural equation modeling. PLOS ONE, 1–16. Scholar
  32. Sabia, J. J., & Rees, D. I. (2015). Body weight, mental health capital, and academic achievement, 2015. Review of Economic of the Household, 13, 653–684.CrossRefGoogle Scholar
  33. Sade, M., & Dankner, R. (2014). A green environment in the city and its relation to health: A survey of the current epidemiological research. Ecology and Environment, 7(3), 227–235 (Hebrew).Google Scholar
  34. Saelens, B. E., & Handy, S. L. (2008). Built environment correlates of walking: A review. Medicine and Science in Sports Exercise, 40(7 Suppl), S550–S566.CrossRefGoogle Scholar
  35. Sallis, J. F., Cerin, E., Conway, T. L., Adams, M. A., Frank, L. D., Pratt, M., Salvo, D., Schipperijn, J., Smith, G., Cain, K. L., Davey, R., Kerr, J., Lai, P.-C., Mitš, J., Reis, R., Sarmiento, O. L., Schofield, G., Troelsen, J., Dyck, V., Delfien, Bourdeaudhuij, D., Ilse, & Owen, N. (2016). Physical activity in relation to urban environments in 14 cities worldwide: A cross-sectional study. Lancet, 387, 2207–2217.CrossRefGoogle Scholar
  36. Scharoun-Lee, M., Adair, L. S., Kaufman, J. S., & Gordon-Larsen, P. (2009). Obesity, race/ethnicity and the multiple dimensions of socioeconomic status during the transition to adulthood: A factor analysis approach. Social Science & Medicine, 68(4), 708–716.CrossRefGoogle Scholar
  37. Su, D., Esqueda, O., Li, L., & Pagan, J. (2012). Income inequality and obesity prevalence among OECD countries. Journal of Biosocial Science, 44(4), 417–432. Scholar
  38. World Health Organization (WHO): Global Strategy on Diet, Physical Activity and Health available at: Accessed 17 May 2019.
  39. World Health Organization (WHO): Obesity and overweight. Key facts, Available at: Accessed 17 May 2019.
  40. Yule, U. G. (1926). Why do we sometimes get nonsense correlations between time series? Journal of the Royal Statistical Society, Series A, General, 89, 1–69.Google Scholar
  41. Zhao, Z., & Kaestner, R. (2010). Effects of urban sprawl on obesity. Journal of Health Economics, 29, 779–787.CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Sir Harry Solomon School of Economics and Management, Western Galilee College, Derech HamichlalaAcreIsrael
  2. 2.Institute of Urban and Regional StudiesHebrew University of JerusalemJerusalemIsrael
  3. 3.School of Real Estate, Netanya Academic CollegeNetanyaIsrael

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