Spurious regressions with stationary series

A spurious regression occurs when a pair of independent series, but with strong temporal properties, are found apparently to be related according to standard inference in an OLS regression. Although this is well known to occur with pairs of independent unit root processes, this paper finds evidence that similar results are found with positively autocorrelated autoregressive series or long moving averages. This occurs regardless of the sample size and for various distributions of the error terms.     

Developing country fisheries and technical efficiency: the Java Sea purse seine fishery

The analysis of technical efficiency in developing country agriculture is well established but has been overlooked for developing country commercial marine fisheries. Policies raising technical efficiency in agriculture are viewed as uniformly positive but are a mixed blessing in fisheries due to the open-access property right and common-pool resource. This study explores this contradiction and policies aimed to promote sustainable development and management of renewable common pool resources through a case study of the Java Sea purse seine fishery. Season of the year rather than fisher or vessel characteristics primarily determines technical efficiency. The results are contrasted with developing country agriculture and conclusions drawn for fisheries development strategies.     

Hierarchy and conservatism in the contributions of resources to entrepreneurial activity

This study addresses the relationship between the munificence offered by a country’s proximate institutions in terms of a critical financial resource (informal investments) and human resource (entrepreneurship education) and its early-stage entrepreneurial activity. We also examine how this relationship might be moderated by underlying cultural values. Our main thesis is that the positive effects of resource munificence of proximate institutions on early-stage entrepreneurial activity should be attenuated in countries with a more hierarchical and conservative culture. We test our hypotheses using a multi-source dataset that spans 42 countries.     

The effect of attribute-based and alternative-based processing on consumer choice in context

The current research proposes that the extent to which consumer choices are affected by the decision process depends on the underlying nature of the choice problem. Specifically, choices resulting from substantial inter-brand comparisons and tradeoff analyses are vulnerable to whether product information is evaluated by attribute- or alternative-based processing. By contrast, choices resulting from a minimal cognitive processing are less sensitive to variations in the decision strategy employed. We test our theory in the well-known domain of choice context effects. Across three studies using multiple operationalizations of the decision process (i.e., information display format, product presentation mode, and processing goal), we find converging evidence that the more cognitively involving compromise choice increases when the environment facilitates attribute- versus alternative-based processing. Conversely, the choice of asymmetrically dominating option, which is characterized by relatively little analytical processing, does not depend on the type of decision strategy highlighted by the task.     

Credit ratings and corporate disclosure behaviour: evidence from regulation fair disclosure in Korea

This article provides evidence that firms with high market expectations disclose more information to investors, utilizing the fair disclosure regulation in Korea to proxy for their disclosure choices. This finding is consistent with the argument that in order to retain their dominant positions, highly evaluated firms are more concerned about the market’s perception of them as providers of timely and detailed disclosure. We also find that the impact of market expectations on disclosure is more pronounced for chaebol firms. Combined with prior research on the relationship between firm performance and voluntary disclosure, we provide important implications for the determinants of corporate disclosure     

The appealing characteristics of download type mobile games

As the mobile game industry enjoys continual and rapid growth in the market and becomes a major sector of the service industry, it is of great interest to examine the very features that make mobile games so fascinating and keep its players coming for more. Pinpointing more precisely the very factors that increase the attraction of games will help game makers allocate corporate resources more efficiently. In addition, a more in depth analysis of the appealing characteristics enable game producers to establish an organized strategy in developing more advanced and technologically sophisticated mobile games, and to enhance their competitive advantage. In order to find these factors, we proposed a model, analyzed empirical data, and then interpreted the results. In this study, we examined the download type mobile game to find and compare factors that cause intent to play. The suggested model has three layers. The top layer is the intent to play mobile games. The second layer, the psychological perception layer, consists of two perceptive factors: perceived enjoyment, and perceived copresence. The third layer is a technological layer, used to classify the characteristics of the mobile games content into image, communication, and attractive characteristics, all of which have relationships with perceptive factors. The study shows some interesting results and we believe the conclusion and implications of this research will be useful for mobile game scholars and industry participants.     

Combining Revealed Preference Data with Stated Preference Data: A Latent Class Approach

A substantial literature exists combining data from revealed preference (RP) and stated preference (SP) sources, aimed either at testing for the convergent validity of the two approaches used in nonmarket valuation or as a means of drawing on their relative strengths to improve the ultimate estimates of value. In doing so, it is assumed that convergence of the two elicitation approaches is an “all or nothing” proposition; i.e., the RP and SP data are either consistent with each other or they are not. The purpose of this paper is to propose an alternative framework that allows for possible divergence among individuals in terms the consistency between their RP and SP responses. In particular, we suggest the use of a latent class approach to segment the population into two groups. The first group has RP and SP responses that are internally consistent, while the remaining group exhibits some form of inconsistent preferences. An EM algorithm is employed in an empirical application that draws on the Alberta and Saskatchewan moose hunting data sets used in earlier combined RP and SP exercises. The empirical results suggest that somewhere between one-third and one-half the sample exhibits consistent preferences. We also examine differences in welfare estimates drawn from the two classes.     

Analysis of product efficiency in the Korean automobile market from a consumer’s perspective

In this study we develop and describe a conceptual and methodological framework to measure technical and allocative efficiency at the product level considering consumer choice, which encompasses overall efficiency. Empirically, we combined data envelopment analysis and a discrete choice model in order to measure efficiency levels. The suggested framework is applied to the Korean automobile market. The relationship between the level of efficiency and market performance is discussed in terms of market share.     

Social Media for Socially Responsible Firms: Analysis of Fortune 500’s Twitter Profiles and their CSR/CSIR Ratings

The instrumental benefits of firm’s CSR activities are contingent upon the stakeholders’ awareness and favorable attribution. While social media creates an important momentum for firms to cultivate favorable awareness by establishing a powerful framework of stakeholder relationships, the opportunities are not distributed evenly for all firms. In this paper, we investigate the impact of CSR credentials on the effectiveness of social media as a stakeholder-relationship management platform. The analysis of Fortune 500 companies in the Twitter sphere reveals that a higher CSR rating is a strong indicator of an earlier adoption, a faster establishment of online presence (followers), a higher responsiveness to the firm’s identity (replies and mentions), and a stronger virality of the messages (retweets). Incidentally, the higher CSIR rating is also found to be associated with the stronger virality. Our findings also suggest that socially responsible firms can harvest proactive stakeholders’ participation (user-driven communication) without investing more resources (firm-driven communication). As the first study that conceptualizes the social media as a proponent of CSR, this paper contends that “being socially responsible” makes more practical sense for firms with the rise of social media.     

Adoption of digital repositories for CO2 emissions reduction: the case of Korea

This study aims to estimate the potential economic benefits, energy and CO₂ emissions reductions when using trusted third-party digital repository (TTPR) services in one individual bank, and within the banking industry in Korea. First, the cost, benefit and net benefit of using TTPR services in the banking industry are estimated. Second, the net induced output effect is estimated. Third, based on an environmentally extended input–output analysis, CO₂ emissions reduction was estimated as 1924.32 tons in 2009 and the energy consumption reduction as 640.70 TOE. Fourth, the total economic benefit, which is the sum of the net induced output effect and economic value of CO₂ emissions reductions, is approximately $11.04 million. The findings demonstrate that energy consumption and CO₂ emissions reductions are meaningful enough to result in significant economic benefits. Therefore, the Korean government should promote the use of TTPR services in the entire industry.