Technology choice under duopoly

This paper presents a conjectural variation approach to demonstrate that competing firms will often distort their cost structures away from strict cost minimization for strategic reasons. In particular, it is shown that the nature of the desired distortions of production technology depends critically on the magnitudes of the firms' conjectural variations with respect to outputs as well as the firms' conjectural variations with respect to technology. These results are in sharp contrast to the conventional wisdom based on monopolized or perfectly competitive markets.     

The relationships of financial literacy with both financial behavior and financial well-being: Meta-analyses based on the selective literature review

This study conducted meta-analyses of the relationships between financial literacy and both financial behavior and financial well-being. Peer-reviewed articles published on financial literacy in the field of consumer studies were collected by July 29, 2020. Fourteen articles were eligible for the meta-analyses. The results showed positive relationships of financial knowledge with desirable financial behavior and financial well-being. Our comparison of objective and subjective financial knowledge indicated that subjective knowledge had stronger relationships with both financial behavior and financial well-being than objective knowledge. These two types of knowledge also had different paths to financial well-being in that subjective knowledge had both direct and indirect effects on financial well-being through financial behavior, whereas objective knowledge only had an indirect effect. The relationship between financial knowledge and financial behavior appeared stronger in cross-sectional data than in longitudinal data. The implications of these results and possible directions for future consumer science research were discussed.     

Causal relationship between energy consumption and GDP growth revisited: A dynamic panel data approach

This paper uses the panel data of energy consumption and GDP for 82 countries from 1972 to 2002. Based on the income levels defined by the World Bank, the data are divided into four categories: low income group, lower middle income group, upper middle income group, and high income group. We employ the GMM-SYS approach for the estimation of the panel VAR model in each of the four groups. Afterwards, the causal relationship between energy consumption and economic growth is tested and ascertained. We discover: (a) in the low income group, there exists no causal relationship between energy consumption and economic growth; (b) in the middle income groups (lower and upper middle income groups), economic growth leads energy consumption positively; (c) in the high income group countries, economic growth leads energy consumption negatively. After further in-depth analysis of energy related data, the results indicate that, in the high income group, there is a great environmental improvement as a result of more efficient energy use and reduction in the release of CO₂. However, in the upper middle income group countries, after the energy crisis, the energy efficiency declines and the release of CO₂ rises. Since there is no evidence indicating that energy consumption leads economic growth in any of the four income groups, a stronger energy conservation policy should be pursued in all countries.     

On the Equivalence of Tariffs and Quotas under a Revenue Constraint

This paper sets out a duopolistic model to examine the price and welfare equivalence of tariffs and quotas, given the quota rent is equal to the tariff revenue. It shows that the domestic welfare ranking of the two trade policies crucially depends on the relative costs of the domestic and foreign firms; when the domestic firm's relative costs are lower than those of the foreign firm, a quota regime generally leads to a higher welfare level than that of an equivalent tariff regime. This finding contrasts sharply with the conclusions of Dasgupta and Stiglitz (1977 ), where it was found that a tariff regime always generates higher domestic welfare.     

The digital divide experienced by older consumers in smart environments

The continuing transition of the Internet from wired to mobile has facilitated changes in Internet use. By focusing on older consumers as a potentially disadvantaged group, this study examines whether smart environments have the potential to bridge the digital divide. Data were derived from an analysis of the 2013 South Korean Information Divide data set (n = 2386 for those 60 years and older; n = 5841 for those under 60 years). The existence of a digital divide in the smart environment was verified by comparing younger and older South Koreans; this showed that continuing consumer education is needed to enhance older people's experience and skills regarding information and in its use of communication technology. The digital divide was measured based on three aspects: accessibility, competence, and usage. In smart environments, gaps in accessibility and competence between the age groups increased whereas the gap in information usage decreased. Compared with the personal computer‐based environment, members of both groups in the smart environment exhibited increased usage levels with regard to social relationship services, while the gap between the groups with regard to use of convenience services was reduced.     

Optimal Trade Policy under Homogeneous Bertrand Competition*

In a seminal paper, Eaton and Grossman (1986) conclude that an export tax is optimal if firms produce heterogeneous products and engage in Bertrand price competition. In particular, they made a comment that could be interpreted to mean that even in the case of a homogeneous product, the optimal policy is still an export tax. This paper has re‐examined the case and found that the optimal export policy can be an export subsidy, free trade, or an export tax, depending on the marginal cost differential between the domestic and the foreign firms. Moreover, if government intervention entails a cost, free trade becomes the only optimal policy.     

Testing linear factor models on individual stocks using the average F-test

In this paper, we propose the average F-statistic for testing linear asset pricing models. The average pricing error, captured in the statistic, is of more interest than the ex post maximum pricing error of the multivariate F-statistic that is associated with extreme long and short positions and excessively sensitive to small perturbations in the estimates of asset means and covariances. The average F-test can be applied to thousands of individual stocks and thus is free from the information loss or the data-snooping biases from grouping. This test is robust to ellipticity, and more importantly, our simulation and bootstrapping results show that the power of the average F-test continues to increase as the number of stocks increases. Empirical tests using individual stocks from 1967 to 2006 demonstrate that the popular four-factor model (i.e. Fama–French three factors and momentum) is rejected in two sub-periods from 1967 to 1971 and from 1982 to 1986.     

The influence of regulations on the efficiency of telecommunications operators: A meta-frontier analysis

The telecommunications industry has a great ripple effect on the overall national economy. However, there is no consensus about what is the optimal regulation policy for the telecommunications industry. Regulations on the telecommunications industry are different by region (i.e. United States, European Union and Asia). A number of studies have been conducted on comparative efficiency analysis for different policies that apply stochastic frontier analysis or data envelope analysis. However, these comparative studies are inappropriate because the production functions for each region are not identical. Thus, this paper addresses meta-frontier methodology, which can reflect differences in production functions. The results indicate that the United States has the highest meta-frontier efficiency in contrast to previous research findings.