Focusing on the case of the São Paulo Metropolitan Region, the largest urban centre in South America, this study provides evidence of the effect of job accessibility on three different labour market dimensions: participation, employment and informality. The evidence is obtained by combining information about household and employment locations and using a probit model together with an instrumental variable strategy. The results indicate that better job accessibility increases the probability of employment for both males and especially females, with employment probability elasticities of about 0.05% and 0.15%, respectively. In addition, we found that better access to jobs positively influences the probability of participation only for females. The set of evidence favours policies promoting higher residential density, transport infrastructure, and family support services.
AlmeidaETSilveira NetoRBrito BastosJM, et al. (2021) Location patterns of service activities in large metropolitan areas: The case of São Paulo. The Annals of Regional Science67: 451–481.
2.
AnderssonFHaltiwangerJCKutzbachMJ, et al. (2018) Job displacement and the duration of joblessness: The role of spatial mismatch. The Review of Economics and Statistics100: 203–218.
3.
AnderssonMLarssonJPWernbergJ (2019) The economic microgeography of diversity and specialization externalities-firm-level evidence from Swedish cities. Research Policy48(6): 1385–1398.
4.
ArellanaJOviedoDGuzmanLA, et al. (2021). Urban transport planning and access inequalities: A tale of two Colombian cities. Research in Transportation Business & Management40, 100554.
5.
BakerJL (2005) Urban Poverty and Transport: The Case of Mumbai, vol. 3693. Washington, DC: World Bank Publications.
6.
BarbanchonTLRathelotRRouletA (2021) Gender differences in job search: Trading of commute against wage. Quarterly Journal of Economics136(1): 381–426.
7.
BarbozaMHCarneiroMSFalavignaC, et al. (2021) Balancing time: Using a new accessibility measure in Rio de Janeiro. Journal of Transport Geography90: 102924.
8.
BarufiAMBHaddadEA (2017) Spatial mismatch, wages and unemployment in metropolitan areas in Brazil. Region3(4): 175–200.
9.
BastiaasnssemJJohnsonBLucasK (2022) Does better job accessibility help people gain employment? The role of public transport in Gran Britain. Urban Studies59(2): 301–322.
10.
BoisjolyGMoreno-MonroyAIEl-GeneidyA (2017) Informality and accessibility to jobs by public transit: Evidence from the São Paulo Metropolitan Region. Journal of Transport Geography64: 89–96.
11.
BruecknerJKMationLNadalinVG (2019) Slums in Brazil: Where are they located, who lives in them, and do they “squeeze” the formal housing market?Journal of Housing Economics4: 48–60.
12.
ChauvinJPGlaeserEMaY, et al. (2017) What is different about urbanization in rich and poor countries? Cities in Brazil, China, India and the United States. Journal of Urban Economics98: 17–49.
CraneR (2007) Is there a quiet revolution in women’s travel? Revisiting the gender gap in commuting. Journal of the American Planning Association73(3): 298–316.
15.
CustódioV (2004) Dos surtos urbanísticos do final do século XIX ao uso das várzeas pelo Plano de Avenidas. Geosul19(38): 77–98.
16.
DeSouzaERBaldwinJKollerSH, et al. (2004) A Latin America perspective on the study of gender. In: PaludiMA (ed.) Praeger Guide to Psychology of Gender. Westport, CT: Praeger Publishers, pp.41–68.
17.
DujardinCSelodHThomasI (2008) Residential segregation and unemployment: The case of Brussels. Urban Studies45(1): 89–113.
18.
Fernandez-MaldonadoAMRomeinAVerkorenO, et al. (2014) Polycentric structures in Latin American metropolitan areas: Identifying employment subcenters. Regional Studies48(12): 1954–1971.
19.
FranklinS (2018) Location, search costs and youth unemployment: Experimental evidence from transport subsidies. The Economic Journal128(614): 2353–2379.
20.
FujitaMOgawaF (1982) Multiple equilibria and structural transition of non-monocentric urban configurations. Regional Science and Urban Economics12(2): 161–196.
21.
GakenheimerR (1999) Urban mobility in the developing world. Transportation Research Part A: Policy and Practice33(7–8): 671–689.
22.
Global Infrastructure Hub (2017) Global infrastructure needs to 2040. Global Infrastructure Hub and Oxford Economics. May (draft). Available at: https://outlook.gihub.org (accessed 1 March 2020).
23.
GobillonLMSelodH (2011) The effect of location on finding a job in the Paris region. Journal of Applied Econometrics26(7): 1079–1112.
24.
GuzmanLAOviedoDRiveraC (2017). Assessing equity in transport accessibility to work and study: The Bogotá region. Journal of Transport Geography58: 236–246.
25.
HaddadEABarufiAMB (2017). From rivers to roads: Spatial mismatch and inequality of opportunity in urban labor markets of a megacity. Habitat International68: 3–14.
26.
HairJFAndersonRETathamRL, et al. (2005) Multivariate Data Analysis. Upper Saddle River, NJ: PrenticeYHall.
27.
HakanssonJIsacssonG (2019). The spatial extent of agglomeration economies across the wage earnings distribution. Journal of Regional Science59(2): 281–301.
28.
HeathRJayachandranS (2016). The causes and consequences of increased female education and labor force participation in developing countries (No. w22766). Cambridge, MA: National Bureau of Economic Research.
29.
HernandezDHanszMMassobrioR (2020) Job accessibility through public transport and unemployment in Latin America: The case of Montevideo (Uruguay). Journal of Transport Geography85: 102742.
30.
IBGE (2010) Base de informações do Censo Demográfico 2010: Resultados do Universo por área de ponderação. Rio de Janeiro, Brazil: IBGE, 2010.
31.
IhlanfeldtKR (2006). A primer on spatial mismatch within urban labor markets. In: ArnottRJMcMillenDP (eds) A Companion to Urban Economics. Hoboken, NJ: Wiley, pp.404–417.
32.
IhlanfeldtKRSjoquistDL (1998) The spatial mismatch hypothesis: A review of recent studies and their implications for welfare reform. Housing Policy Debate9(4): 849–892.
33.
KainJF (1968) Housing segregation, negro employment, and metropolitan decentralization. The Quarterly Journal of Economics82(2): 175–197.
34.
KorzhenevychAJainM (2018) Area and gender-based commuting differentials in India’s largest urban-rural region. Transport Research Part D: Transport and Environment63: 733–746.
35.
KutzbachMJ (2009) Motorization in developing countries: Causes, consequences, and effectiveness of policy options. Journal of Urban Economics65(2): 154–166.
36.
LeiLDesaiSVannemanR (2019) The impact of transportation infrastructure on women’s employment in India. Feminist Economics25(4): 94–125.
37.
LewbelADongYTangTT (2012) Comparing features of convenient estimators for binary choice models. Canadian Journal of Economics45(3): 809–829.
38.
LiSLiuY (2017) Land use, mobility, and accessibility in dualistic urban China: A case study of Guangzhou. Cities71: 59–69.
39.
LucasRERossi-HansbergE (2002) On the structure of cities. Econometrica70(4): 1445–1476.
40.
MatasARaymondJLRoigJL (2010) Job accessibility and female employment probability: The cases of Barcelona and Madrid. Urban Studies47: 769–787.
41.
McDonaldHI (1999) Women’s employment and commuting: Explaining the links. Journal of Planning Literature13(3): 267–283.
MehraRKurzKPoalissoM (1992) Child Care Options for Working Mothers in Developing Countries. Washington, DC: International Center for Research on Women.
44.
MeyerRMPGrosteinMDBidermanC (2004). São Paulo Metrópole. São Paulo: Edusp.
45.
MitraA (2005) Women in urban informal sector: Perpetuation of meagre earnings. Development and Change36(2): 291–316.
46.
Moreno-MonroyAIRamosFR (2020) The impact of public transport expansions on informality: The case of the São Paulo Metropolitan Region. Research in Transportation Economics88: 100928.
47.
NadalinVGIglioriDC (2010) Evolução urbana e espraiamento na Região Metropolitana de São Paulo. Texto para Discussão N.1481. Brasília: IPEA.
48.
NakamuraSAvnerP (2021) Spatial distributions of job accessibility, housing rents, and poverty: The case of Nairobi. Journal of Housing Economics51: 101743.
49.
O’ReganKMQuigleyJM (1996) Spatial effects upon employment outcomes: The case of New Jersey teenagers. New England Economic ReviewMay/June: 41–58.
50.
PáezAScottDMMorencC (2012). Measuring accessibility: Positive and normative implementations of various accessibility indicators. Journal of Transport Geography25: 141–153.
51.
Peralta-QuirosTKerzhnerTAvnerP (2019) Exploring accessibility to employment opportunities in African cities: A first benchmark. Working Paper No. 8971. World Bank Policy Research. Available at: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3434753 (accessed 29 March 2023).
52.
PereiraRHMBragaCKVSerraB, et al. (2019) Desigualdades socioespaciais de acesso a oportunidades nas cidades brasileiras-2019. Texto para Discussão, No. 2535. Brasília: IPEA.
53.
PereiraRHMSchwanenT (2013) Tempo de deslocamento casa-trabalho no Brasil (1992–2009): diferenças entre regiões metropolitanas, níveis de renda e sexo. Texto para Discussão, n. 1813. Brasília: IPEA.
54.
PiedadeMMCruzBOOliveiraCWA (2007) Residential segregation and social exclusion in Brazilian housing markets. In FreireMLimaRCiraD, et al. (eds) Land and Urban Policies for Poverty Reduction: Proceedings of the third International Urban Research Symposium I. Washington, DC: World Bank; Brasilia: IPEA, p.309.
55.
PintoDGLLoureiroCFGde Matos SousaFFL, et al. (2022) Caracterização espacial da acessibilidade ao trabalho formal e informal da população de baixa renda em fortaleza. Transportes30(1): 2546–2546.
56.
QuintanarSAK (2012) Job accessibility and probability of being employed by educationa level and informality in Metropolitan Area of Mexico City. Working Paper. Barcelona: Universitat Autònoma de Barcelona.
57.
RamosFR (2016). Identificando subcentros de emprego na região metropolitana de são paulo: Potenciais locacionais e consequências para a estrutura urbana. Associação Brasileira de Estudos Populacionais (ABEP). XIX Encontro Nacional de Estudos Populacionais. 17October2016. Fóz do Iguaçu, Paraná. Anais, p.1–21.
58.
RosenthalSStrangeW (2008). The attenuation of human capital spillovers. Journal of Urban Economics64(2): 373–389.
59.
RosenthalSStrangeW (2012) Female entrepreneurship, agglomeration, and a new spatial mismatch. Review of Economics and Statistics94(3): 764–788.
60.
Silveira NetoRDuarteGPaézA (2015) Gender and commuting time in São Paulo metropolitan region. Urban Studies52(2): 298–313.
61.
Silveira NetoRMouraK (2019) Commuting time, public exposure, and victimization: Evidence from Brazilian metropolitan regions. Papers in Regional Science98(2): 1159–1175.
62.
SmartMJKleinNJ (2015) A longitudinal analysis of cars, transit, and employment out- comes. MNTRC Report 12–49. San Jose, CA: Mineta National Transit Research Consortium.
63.
SuárezMMurataMDelgado CamposJ (2016) Why do the poor travel less? Urban structure, commuting, and economic informality in Mexico City. Urban Studies53(12): 2548–2566.
64.
TaNWangXHuL, et al. (2022). Gender difference in commuting travel: A comparative study of suburban residents in Beijing and Shanghai. Travel Behavior and Society28: 196–203.
65.
TaoZZhouJLinX, et al. (2020) Investigating the impacts of public transport on job accessibility in Shenzhen, China: A multi-modal approach. Land Use Policy99: 105025.
66.
TravassosLRFCGrosteinMD (2003) A ocupação de fundos de vale urbanos em São Paulo e sua dimensão sócio-ambiental. In: Novas escalas e estratégias territoriais na gestão ambiental. X Encontro Nacional da Anpur. May2013. Belo Horizonte, Minas Gerais.
67.
WangLQinP (2017) Distance to work in Beijing: Institutional reform and bargaining power. Urban Studies54(6): 1385–1406.
68.
WheelerCH (2003) Evidence on agglomeration economies, diseconomies, and growth. Journal of Applied Econometrics18(1): 79–104.
69.
WooldridgeJM (2010) Econometric Analysis of Cross Section and Panel Data, 2nd edn. Cambridge, MA: MIT Press.
70.
XiaoWWeiYDLiH (2021) Spatial inequality of job accessibility in Shanghai: A geographical skills mismatch perspective. Habitat International115: 102401.
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