This article investigates the role of education on environmental crime in Italy using a panel of 110 Italian provinces over the period 2010–2015. We employ a system-GMM (Generalized Method of Moments) dynamic panel data approach to tackle the endogeneity that might arise in the estimations from the environmental crime dynamic path and to consider time-invariant effects on provinces. Our empirical results, even after controlling for socioeconomic and judicial efficiency characteristics, support the existence of a U-inverted relationship between education and environmental crime, which depicts an unconventional finding: At the margin, a higher level of education endowment offsets the propensity to commit environmental crimes, which are confirmed to be white-collar type of crimes. The results are robust to model specifications and endogeneity. Furthermore, to check the robustness of nonmonotonicity in the relationship between environmental crime and education and to control for unobserved provincial heterogeneity, we also exploit a semiparametric fixed effects model. There is wide room for efficiency gains that could arise from policy interventions aiming to put environmental crimes into perspective.
AmoreM. D.BennedsenM.LarsenB.RosenbaumP. (2019). CEO education and corporate environmental footprint. Journal of Environmental Economics and Management, 94, 254–273.
2.
AndresenM. A. (2013). Unemployment, business cycles, crime, and the Canadian provinces. Journal of Criminal Justice, 41(4), 220–227.
3.
ArellanoM.BondS. (1991). Some tests of specification for panel data: Monte Carlo evidence and an application to employment equations. Review of Economic Studies, 58(2), 277–297.
4.
ArellanoM.BoverO. (1995). Another look at the instrumental variable estimation of error-components models. Journal of Econometrics, 68(1), 29–51.
5.
BaltagiB. H. (2005). Econometric analysis of panel data. John Wiley and Sons.
6.
BaltagiB. H.LiD. (2002). Series estimation of partially linear panel data models with fixed effects. Annals of Economics and Finance, 3(1), 103–116.
7.
BeckerG. S. (1968). Crime and punishment: An economic approach. The Journal of Political Economy, 76(2), 169–217.
8.
BeckerG. S. (1967). Human capital and the personal distribution of income: An analytical approach (Woytinsky Lecture 1). Institute of Public Administration, University of Michigan.
9.
BeckerG. S.MulliganC. (1997). The endogenous determination of time preference. Quarterly Journal of Economics, 112, 729–758.
10.
BellB.CostaR.MachinS. (2016). Crime, compulsory schooling laws and education. Economics of Education Review, 54, 214–226.
11.
Ben-PorathY. (1967). The production of human capital and the life cycle of earnings. The Journal of Political Economy, 75(4), 352–365.
12.
BlundellR.BondS. (1998). Initial conditions and moment restrictions in dynamic panel data models. Journal of Econometrics, 87(1), 115–143.
13.
BondS.HoefflerA.TempleJ. (2001). GMM estimation of empirical growth models(Economics Papers 2001-W21). Economics Group, Nuffield College, University of Oxford.
14.
BunM. J. G. (2014). Identifying the impact of deterrence on crime: Internal versus external instruments. Applied Economics Letters, 22(3), 204–208.
15.
BunM. J. G.KelaherR.SarafidisV.WeatherburnD. (2020). Crime, deterrence and punishment revisited. Empirical Economics, 59, 2303–2333.
16.
BuonannoP.FergussonL.VargasJ. F. (2017). The crime Kuznets curve. Journal of Quantitative Criminology, 33(4), 753–782.
17.
BuonannoP.LeonidaL. (2003). L’approccio economico alla criminalità e una analisi econometrica del caso italiano [The economic approach to crime and an econometric analysis of the Italian case]. In LetiziM. (Ed.), Comportamento criminale, ecomafie e smaltimento dei rifiuti [Criminal behaviour, ecomafia and waste disposal]. Rubbettino Editore.
18.
BuonannoP.LeonidaL. (2006). Education and crime. Applied Economics Letters, 13, 709–713.
19.
BuonannoP.LeonidaL. (2009). Non-market effects of education on crime: Evidence from Italian regions. Economics of Education Review, 28, 11–17.
20.
BuonannoP.MontolioD. (2008). Identifying the socio-economic and demographic determinants of crime across Spanish provinces. International Review of Law and Economics, 28, 89–97.
21.
Cano-UrbinaJ.LocnerL. (2019). The effect of education and school quality on female crime. Journal of Human Capital, 13(2), 188–235.
22.
ChalfinA.McCraryJ. (2017). Criminal deterrence: A review of the literature. Journal of Economic Literature, 55(1), 5–48.
23.
ChalfinA.RaphaelS. (2011). Work and crime. In TonryM. (Ed.), The Oxford handbook of crime and criminal justice (pp. 444–478). Oxford University Press.
24.
CohenM. A. (2000). Empirical research on the deterrent effect of environmental monitoring and enforcement. Environmental Law Reporter, 30, 10245–10252.
25.
CostantiniV.MazzantiM.MontiniA. (2013). Environmental performance. innovation and spillovers: Evidence from a regional NAMEA. Ecological Economics, 89(C), 101–114.
26.
CullenJ.JacobB.LevittS. (2006). The effect of school choice on participants: Evidence from randomized lotteries. Econometrica, 74, 1191–1230.
27.
D’AlisaG.GermaniA. R.FalconeP. M.MoroneP. (2017). Political ecology of health in the Land of Fires: A hotspot of environmental crimes in the South of Italy. Journal of Political Ecology, 24, 59–86.
28.
D’AmatoA.MazzantiM.MontiniA. (2013). Waste management in spatial environments. Routledge.
29.
De FalcoG. (2014). Traffico illecito dei rifiuti: Un approccio giudiziario. Gazzetta Ambiente, 4, 71–75.
30.
DemingD. (2011). Better schools, less crime?Quarterly Journal of Economics, 126, 2063–2115.
31.
EhrlichI. (1973). Participation in illegitimate activities: A theoretical and empirical investigation. Journal of Political Economy, 81, 521–565.
32.
FajnzylberP.LedermanD.LoayzaN. (2002). Inequality and violent crime. Journal of Law and Economics, 45, 1–39.
33.
FreemanS.GroggerJ.SonstelieJ. (1996). The spatial concentration of crime. Journal of Urban Economics, 40, 216–231.
34.
GermaniA. R.KerA.CastaldoA. (2020). On the existence and shape of an environmental crime Kuznets Curve: A case study of Italian provinces. Ecological Indicators. https://doi.org/10.1016/j.ecolind.2019.105685
35.
GermaniA. R.PergolizziA.ReganatiF. (2015). Illegal trafficking and unsustainable waste management in Italy: Evidence at the regional level. Journal of Security and Sustainability Issues, 4(4), 369–389.
36.
GlaeserE. L.SacerdoteB. (1999). Why is there more crime in cities?The Journal of Political Economy, 107(6/2), 225–258.
37.
GroggerJ. (1995). The effect of arrests on the employment and earnings of young men. Quarterly Journal of Economics, 110, 51–71.
38.
GroggerJ. (1998). Market wages and youth crime. Journal of Labor Economics, 16, 756–791.
39.
GrootW.van den BrinkH. M. (2010). The effects of education on crime. Applied Economics, 42, 279–289.
40.
HjalmarssonR. (2008). Criminal justice involvement and high school completion. Journal of Urban Economics, 63, 613–630.
41.
HjalmarssonR.HolmlundH.LindquistM. J. (2015). The effect of education on criminal convictions and incarceration: Causal evidence from micro-data. The Economic Journal, 125, 1290–1326.
42.
Holtz-EakinD.NeweyW.RosenH. S. (1988). Estimating vector autoregressions with panel data. Econometrica, 56(6), 1371–1395.
43.
HudsonR. (2014). Thinking through the relationships between legal and illegal activities and economies: Spaces, flows and pathways. Journal of Economic Geography, 14(4), 775–795.
44.
KountourisY.RemoundouK. (2016). Cultural influence on preferences and attitudes for environmental quality. Kyklos, 69(2), 369–397.
45.
KruegerA.LindahlM. (2001). Education for growth: Why and for whom?Journal of Economic Literature, 39, 1101–1136.
46.
LanceL.EnricoM. (2004). The effect of education on crime: Evidence from prison inmates, arrests, and self-reports. The American Economic Review, 94, 155–189.
LeonidaL.Maimone Ansaldo PattiD.NavarraP. (2013). Testing the political replacement effect: A panel data analysis. Oxford Bulletin of Economics and Statistics, 75, 785–805.
49.
LindJ. T.MehlumH. (2010). With or without U? The appropriate test for a U-shaped relationship. Oxford Bulletin of Economics and Statistics, 72(1), 109–118.
50.
LochnerL. (2004). Education, work, and crime: A human capital approach. International Economic Review, 45, 811–843.
51.
LochnerL. (2007). Individual perceptions of the criminal justice system. American Economic Review, 97(1), 444–460.
LochnerL. (2011b). Non-production benefits of education: Crime, health, and good citizenship. In HanushekE.MachinS.WoessmannL. (Eds.), Handbook of the economics of education (Vol. 4., pp. 183–282). Elsevier.
54.
LochnerL. (2020). Education and crime. In BradleyS.GreenC. (Eds.), The economics of education—A comprehensive overview (2nd ed., pp. 109–1771). Academic Press. https://doi.org/10.1016/B978-0-12-815391-8.01001-6
55.
LochnerL.MorettiE. (2004). The effect of education on crime: Evidence from prison inmates, arrests, and self-reports. American Economic Review, 94(1), 155–189.
56.
LucasR. E.Jr. (1988). On the mechanics of economic development. Journal of Monetary Economics, 22, 3–42.
57.
MachinS.MarieO.VujicS. (2011). The crime reducing effect of education. Economic Journal, 121(552), 463–484.
58.
MachinS.MeghirC. (2004). Crime and economic incentives. Journal of Human Resources, 39, 958–979.
59.
MazzantiM.MontiniA.NicolliF. (2012). Waste dynamics in economic and policy transitions: Decoupling, convergence and spatial effects. Journal of Environmental Planning and Management, 55(5), 563–581.
60.
MazzantiM.MontiniA.ZoboliR. (2008). Municipal waste generation, socio-economic drivers and waste management instruments. Journal of Environment and Development, 17, 51–69.
61.
MustardD. B. (2010). How do labor markets affect crime? New evidence on an old puzzle (Discussion Paper 4856). Institute for the Study of Labor.
62.
MyersS. (1982). Crime in urban areas: New evidence and results. Journal of Urban Economics, 11, 148–158.
63.
NellemannC.HenriksenR.KreilhuberA.StewartD.KotsovouM.RaxterP.MremaE.BarratS. (Eds.). (2016). The rise of environmental crime—A growing threat to natural resources peace, development and security. A UNEP-INTERPOL Rapid Response Assessment, United Nations Environment Programme and RHIPTO Rapid Response-Norwegian Center for Global Analyses.
64.
OchsenC. (2010). Crime and labor market policy in Europe. International Review of Law and Economics, 30, 52–61.
65.
PergolizziA. (2019). Emergenza Green corruption. Come la corruzione divora l’ambiente [Green corruption emergency. How corruption devours the environment]. Andrea Pacilli ed.
66.
PhillipsJ.LandK. C. (2012). The link between unemployment and crime rate fluctuations: An analysis at the county, state, and national levels. Social Science Research, 41(3), 681–694.
67.
PolinskyA.M.ShavellS. (2000). The economic theory of public enforcement of law. Journal of Economic Literature, 38(1), 45–76.
SarganJ. D. (1958). The estimation of economic relationships using instrumental variables. Econometrica, 26(3), 393–415.
70.
TauchenH.WitteA.GriesingerH. (1994). Criminal deterrence: Revisiting the issue with a birth cohort. Review of Economics and Statistics, 76, 399–412.
71.
VeselakK. M. (2015). The relationship between educational attainment and the type of crime committed by incarcerated offenders. Journal of Correctional Education, 66(2), 30–56.
72.
WittR.ClarkeA.FieldingN. (1999). Crime and economic activity: A panel data approach. British Journal of Criminology, 39, 391–400.
