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Accessibility, Diversity, Environmental Quality and the Dynamics of Intra‐Urban Population and Employment Location

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  • SUMEI ZHANG
  • JEAN‐MICHEL GULDMANN

Abstract

This paper investigates intra‐urban population and employment shifts over 1980–2000, using the Cincinnati Metropolitan Area as a case study. Population and employment are disaggregated by ethnicity (White, Black, Others) and industry (10 sectors) to better capture different location behaviors. Inter‐industry relationships are considered when constructing accessibility variables. Additional diversity, locational and socio‐economic variables are included. A location‐specific index of air quality is also considered, as a proxy for environmental quality. A structural equation model is specified to account for the dynamic interactions between populations, activities, and air quality. The results reveal strong interactions between ethnic groups, confirm the existence of agglomeration effects, and suggest that diversity has positive effects on both firms and households in both periods (1980–1990 and 1990–2000). For firms, better access to their potential customers and employees is more important than better access to their input–output sectors. Better air quality attracts population, which in turn worsens it. The results reveal changing dynamics, from 1980–1990 to 1990–2000, for different population and activity groups, and suggest that overall, firm location behaviors are more stable than household behaviors.

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  • Sumei Zhang & Jean‐Michel Guldmann, 2010. "Accessibility, Diversity, Environmental Quality and the Dynamics of Intra‐Urban Population and Employment Location," Growth and Change, Wiley Blackwell, vol. 41(1), pages 85-114, March.
  • Handle: RePEc:bla:growch:v:41:y:2010:i:1:p:85-114
    DOI: 10.1111/j.1468-2257.2009.00517.x
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    3. Chuanwang Zhang & Guangsheng Zhang, 2024. "How Does Air Pollution Impact Residence Intention of Rural Migrants? Empirical Evidence from the CMDS," Sustainability, MDPI, vol. 16(13), pages 1-23, July.
    4. Bo Li & Qingfeng Cao & Muhammad Mohiuddin, 2020. "Factors Influencing the Settlement Intentions of Chinese Migrants in Cities: An Analysis of Air Quality and Higher Income Opportunity as Predictors," IJERPH, MDPI, vol. 17(20), pages 1-18, October.
    5. Xiao Yu & Jianing Liang & Yanzhe Zhang, 2022. "Air Pollution and Settlement Intention: Evidence from the China Migrants Dynamic Survey," IJERPH, MDPI, vol. 19(8), pages 1-16, April.
    6. Gerke J. Hoogstra & Jouke van Dijk & Raymond J. G. M. Florax, 2017. "Do jobs follow people or people follow jobs? A meta-analysis of Carlino–Mills studies," Spatial Economic Analysis, Taylor & Francis Journals, vol. 12(4), pages 357-378, October.
    7. Yanjiao Song & Nina Zhu, 2022. "Does Natural Amenity Matter on the Permanent Settlement Intention? Evidence from Elderly Migrants in Urban China," IJERPH, MDPI, vol. 19(3), pages 1-17, January.
    8. Radhia Amairia & Bouzid Amaira, 2017. "Transport Infrastructure and Economic Growth: New Evidence from Tunisia an ARDL Bounds Testing Approach," Journal of Infrastructure Development, India Development Foundation, vol. 9(2), pages 98-112, December.
    9. Alam, Khalid Mehmood & Li, Xuemei & Baig, Saranjam & Ghanem, Osman & Hanif, Salman, 2021. "Causality between transportation infrastructure and economic development in Pakistan: An ARDL analysis," Research in Transportation Economics, Elsevier, vol. 88(C).
    10. François Des Rosiers & Marius Thériault & Gjin Biba & Marie-Hélène Vandersmissen, 2017. "Greenhouse gas emissions and urban form: Linking households’ socio-economic status with housing and transportation choices," Environment and Planning B, , vol. 44(5), pages 964-985, September.

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