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Car Ownership (car + ownership)
Selected AbstractsCar ownership and welfare-to-workJOURNAL OF POLICY ANALYSIS AND MANAGEMENT, Issue 2 2002Paul M. Ong This study examines the role of car ownership in facilitating employment among recipients under the current welfare-to-work law. Because of a potential problem with simultaneity, the analysis uses predicted car ownership constructed from two instrumental variables, insurance premiums and population density for car ownership. The data come from a 1999,2000 survey of TANF recipients in the Los Angeles metropolitan area. The empirical results show a significant independent contribution of car ownership on employment. The presence of an predicted ownership is associated with a 9 percentage point increase in the odds of being employed. Moreover, the results indicate that lowering insurance premiums by $100 can increase the odds of employment by 4 percentage points. © 2002 by the Association for Public Policy Analysis and Management. [source] Mass car ownership in the emerging market giantsECONOMIC POLICY, Issue 54 2008Marcos Chamon SUMMARY Cars The typical urban household in China owns a TV, a refrigerator, a washing machine, and a computer, but does not yet own a car. In this paper, we draw on data for a panel of countries and detailed household level surveys for the largest emerging markets to document a remarkably stable relationship between GDP per capita and car ownership, highlighting the importance of within-country income distribution factors: we find that car ownership is low up to per capita incomes of about US$5000 and then takes off very rapidly. Several emerging markets, including India and China, the most populous countries in the world, are currently at the stage of development when such takeoff is expected to take place. We project that the number of cars will increase by 2.3 billion between 2005 and 2050, with an increase by 1.9 billion in emerging market and developing countries. We outline a number of possible policy options to deal with the implications for the countries affected and the world as a whole. , Marcos Chamon, Paolo Mauro and Yohei Okawa [source] Car ownership and welfare-to-workJOURNAL OF POLICY ANALYSIS AND MANAGEMENT, Issue 2 2002Paul M. Ong This study examines the role of car ownership in facilitating employment among recipients under the current welfare-to-work law. Because of a potential problem with simultaneity, the analysis uses predicted car ownership constructed from two instrumental variables, insurance premiums and population density for car ownership. The data come from a 1999,2000 survey of TANF recipients in the Los Angeles metropolitan area. The empirical results show a significant independent contribution of car ownership on employment. The presence of an predicted ownership is associated with a 9 percentage point increase in the odds of being employed. Moreover, the results indicate that lowering insurance premiums by $100 can increase the odds of employment by 4 percentage points. © 2002 by the Association for Public Policy Analysis and Management. [source] Fuel demand and car ownership modelling in IndiaOPEC ENERGY REVIEW, Issue 1 2007Taoufik Bouachera Motorisation in Asia is soaring with rapid growth in incomes non-lin-early. Even though car ownership per 1,000 population is still low in countries like China, India or Indonesia, escalating number of cars is affected by GDP growth among other infrastructural factors in a non-linear manner. This quick growth in car ownership may represent a significant implication on road transport fuel demand. This paper forecasts the demand for road transport fuel in India. For this purpose, econometric models, based on time series data, are constructed as for a major factor affecting fuel demand in road transportation i.e. car ownership. Firstly the econometric car ownership model was attempted in this study, for projecting future car stock in India based on cross section time series technique. The car stock is modelled by using three functional forms, which are the logistic, quasi-logistic and Gompertz curves. However, to take into consideration countries with different income levels in that part of the world, these models were estimated by using pooled data of seven Asian countries (Japan, China, South Korea, Thailand, Indonesia, Malaysia and India). Then, a set of fuel consumption scenarios were developed in order to make forecast until 2030. These scenarios were generated by taking into consideration car stock, fuel efficiency and the average distance travelled in India. [source] Marketing Channels and Retail Store Density in East Asia,ASIAN ECONOMIC JOURNAL, Issue 4 2005Kenji Matsui L81; M31 By measuring retail store density with regard to population, several studies have indicated that marketing channels in Asia are different from those in the USA and European countries. The present paper investigates to what extent a model similar to Flath and Nariu (1996) can empirically predict retail densities in Japan and China. The results suggest that the secular decline in the number of retail stores in Japan primarily results from the proliferation of car ownership and the expansion in the average size of a dwelling. We also demonstrate that the model accounts for the large variations in China's retail density. [source] | ||||||||||