Factors associated with the relationship between non-fatal road injuries and economic growth

This study reports the results of an empirical analysis of the Kuznets curve relationship between non-fatal road injuries and per-capita income. This relationship indicates that the number of road deaths increases with increasing per-capita income at lower income levels, but decreases once it has exceeded a threshold level. We apply a fixed effects negative binomial regression analysis on a panel of 90 countries over the period of 1963–2009. Results indicated evidence of an inverted U-shaped relationship between economic growth and non-fatal road injuries for both less developed and highly developed countries. Results also indicated that the turning point is higher in less developed countries than in higher developed countries. The evidence presented in this study suggests that improvements in road infrastructure, the quality of regulatory institutions, and increase in the use of safer transport modes will help reduce non-fatal road injuries.

[1]  Robert B Noland,et al.  Medical treatment and traffic fatality reductions in industrialized countries. , 2003, Accident; analysis and prevention.

[2]  Rodger A. Payne,et al.  Freedom and the Environment , 1995 .

[3]  Nejat Anbarcı,et al.  Traffic Fatalities: Does Income Inequality Create an Externality? , 2009 .

[4]  Yongli Xi,et al.  Economic development's effect on road transport-related mortality among different types of road users: a cross-sectional international study. , 2007, Accident; analysis and prevention.

[5]  G J Wintemute,et al.  Is motor vehicle-related mortality a disease of development? , 1985, Accident; analysis and prevention.

[6]  B. L. Hills,et al.  PRELIMINARY ANALYSIS OF MOTORCYCLE ACCIDENTS: SHORT-TERM IMPACTS OF THE RUNNING HEADLIGHTS CAMPAIGN AND REGULATION IN MALAYSIA , 1995 .

[7]  Teik Hua Law,et al.  The sources of the Kuznets relationship between road fatalities and economic growth , 2011 .

[8]  A F Williams,et al.  Analysis of fatal motorcycle crashes: crash typing. , 1995, Accident; analysis and prevention.

[9]  L. Evans.  Risks older drivers face themselves and threats they pose to other road users. , 2000, International journal of epidemiology.

[10]  Dary D. Fiorentino,et al.  DRIVER CHARACTERISTICS AND IMPAIRMENT AT VARIOUS BACS , 2000 .

[11]  Jeffrey M. Wooldridge,et al.  Introductory Econometrics: A Modern Approach , 1999 .

[12]  D. Bishai,et al.  National road casualties and economic development. , 2006, Health economics.

[13]  Thomas M Gill,et al.  Application of negative binomial modeling for discrete outcomes: a case study in aging research. , 2003, Journal of clinical epidemiology.

[14]  R. Winkelmann.  Econometric Analysis of Count Data , 1997 .

[15]  H. Moskowitz,et al.  EFFECTS OF LOW DOSES OF ALCOHOL ON DRIVING-RELATED SKILLS: A REVIEW OF THE EVIDENCE , 1988 .

[16]  L. Evans.  Older driver involvement in fatal and severe traffic crashes. , 1988, Journal of gerontology.

[17]  Ragnar Andersson,et al.  Economic development as a determinant of injury mortality - a longitudinal approach. , 2008, Social science & medicine.

[18]  Kavi Bhalla,et al.  A Risk‐Based Method for Modeling Traffic Fatalities , 2007, Risk analysis : an official publication of the Society for Risk Analysis.

[19]  Eric Neumayer,et al.  Earthquake Propensity and the Politics of Mortality Prevention , 2010 .

[20]  Margaret M. Peden,et al.  World Report on Road Traffic Injury Prevention , 2004 .

[21]  Pravin K. Trivedi,et al.  Regression Analysis of Count Data , 1998 .

[22]  M. Cropper,et al.  Traffic Fatalities and Economic Growth , 2003, Accident; analysis and prevention.

[23]  Richard Damania,et al.  The Persistence of Corruption and Regulatory Compliance Failures: Theory and Evidence , 2003 .

[24]  E. Mulvey,et al.  Regression analyses of counts and rates: Poisson, overdispersed Poisson, and negative binomial models. , 1995, Psychological bulletin.

[25]  Teik Hua Law,et al.  Factors Associated with the Enactment of Safety Belt and Motorcycle Helmet Laws , 2013, Risk analysis : an official publication of the Society for Risk Analysis.

[26]  Teik Hua Law,et al.  Factors associated with the relationship between motorcycle deaths and economic growth. , 2009, Accident; analysis and prevention.

[27]  A. Zwi,et al.  Traffic-related mortality in industrialized and less developed countries. , 1995, Bulletin of the World Health Organization.

[28]  E. Braver,et al.  Fragility versus excessive crash involvement as determinants of high death rates per vehicle-mile of travel among older drivers. , 2003, Accident; analysis and prevention.

[29]  J. Mackenbach,et al.  Economic development and traffic accident mortality in the industrialized world, 1962-1990. , 2000, International journal of epidemiology.

[30]  A. Williams,et al.  Driver age and crash involvement. , 1989, American journal of public health.

[31]  Nejat Anbarcı,et al.  Traffic Fatalities and Public Sector Corruption , 2006 .

[32]  Z. Griliches,et al.  Econometric Models for Count Data with an Application to the Patents-R&D Relationship , 1984 .

[33]  J. S. Long,et al.  Regression Models for Categorical and Limited Dependent Variables , 1997 .

[34]  K. Yamamoto,et al.  Population concentration, urbanization, and demographic transition , 2005 .

[35]  Marcelline Burns,et al.  EFFECTS OF ALCOHOL ON DRIVING PERFORMANCE , 1990 .