On inferring individual behaviour from market behaviour in a predetermined quantities model

This article develops the theoretical basis of individual behaviour recovered from market behaviour in a predetermined quantities model. As applied economists argue, an inverse demand system may be empirically sound within the framework of classical demand theory. However, it should not lead to the conclusion that the market responses for changes in quantity should be used to see welfare effects instead of the individual responses by price changes as far as the market is concerned. It shows theoretically and empirically how individual responses can be recovered from market responses in a predetermined quantities model. It suggests that the fundamental results of this article should be used on interpreting empirical results from the predetermined quantities models.     

Is the Chinese Government’s Increase in Development Co-operation with Africa the Revival of Sinocentrism?

Over the past few decades, the rapid growth of China’s development co-operation with Africa has attracted worldwide attention. Some people assert that development co-operation in Africa has contributed to the general development of the continent; however, others, many of whom are scholars and Western politicians, dispute its influence on Africa and are suspicious of its real motives, noting its exploitation of natural resources and increasing market encroachment. This study will discuss the expansion of China’s development co-operation with African countries from the perspective of Sinocentrism, as there appears to be an absence of a superordinate concept or ideology that extensively encompasses and interconnects the diverse explications from existing studies. Henceforth, this research aims to contribute towards examining whether Sinocentrism could be a possible superordinate concept of existing studies. As such, it could be helpful in better understanding Chinese development co-operation in Africa, by examining China’s history and its recent path in Africa as well as its international relations.     

Corroborating social media echelon in cancer research

Worldwide medical facilities differ, and for this reason, the causes of death can vary. Cancer is considered the second leading cause of death after heart disease worldwide, and the same causes of death are observed in the United States (US). Therefore, the purposes of this study are to explore worldwide research levels in the field of cancer and the social collaboration of researchers and institutions in this field. This article examines the structural patterns of international co-authors and co-institutions in science citation index papers in cancer research. The study uses measures from the social network analysis method, including degree centrality, betweenness centrality, eigenvector centrality, and effectiveness, to investigate the effects of social networks in the area of cancer research. Empirical analysis results identify the US is the most central country, followed by Germany, Italy, France, and China, in terms of co-authored networks in this research field. Institutional analysis results indicate that the University of Milan is at the top in terms of degree centrality. The Gustave Roussy Cancer Campus in France and German University of Düsseldorf occupy the second and fourth positions, respectively. The University of California in Los Angeles and Harvard University, both in the US, are at third and fifth positions, respectively.     

Do gender and age impact the time‐varying Okun's law? Evidence from South Korea

This study investigates the time‐varying Okun's law for different age and gender cohorts in South Korea over the 1980–2014 period. We found that the absolute value of the estimated Okun coefficients for all age cohorts and both genders become larger in a recession than in an expansion. We also found that the youth cohort (15–24 years old) for both genders is more sensitive to a negative economic impact than are older cohorts. These differences imply that when policymakers try to find a way of reducing the unemployment rate, they should consider differences in behaviour among these groups. Furthermore, the policies should be combined with age‐specific policies.     

How does sales force automation influence relationship quality and performance? The mediating roles of learning and selling behaviors

Sales force automation (SFA) technologies are increasingly used to support customer relationship management strategies. However, previous studies have reported mixed results about the performances of SFA technologies. Therefore, this study seeks to further examine the impact of SFA usage on both customer relationship quality and sales performance. Additionally, the mediating roles of learning and adaptive selling behaviors on the outcomes of SFA usage are investigated. The results highlight the mediating role of salesperson learning and adaptive selling behaviors in the SFA usage and sales performance relationship. Especially noteworthy is the impact of learning through adaptive selling on those outcome variables. Implications for SFA research and practice that may further improve our understanding of this increasingly relevant topic are also offered.     

Comparison of SML and GMM estimators for the random coefficient logit model using aggregate data

A simulated maximum likelihood (SML) estimator for the random coefficient logit model using aggregate data is found to be more efficient than the widely used generalized method of moments estimator (GMM) of Berry et?al. (Econometrica 63:841?C890, 1995). In particular, the SML estimator is better than the GMM estimator in recovery of heterogeneity parameters which are often of central interest in marketing research. With the GMM estimator, the analyst must determine what moment conditions to use for parameter identification, especially the heterogeneity parameters. With the SML estimator, the moment conditions are automatically determined as the gradients of the log-likelihood function, and these are the most efficient ones if the model is correctly specified. Another limitation of the GMM estimator is that the product market shares must be strictly positive while the SML estimator can handle zero market share observations. Properties of the SML and GMM estimators are demonstrated in simulated data and in data from the US photographic film market.     

Reputation Effects in Bargaining Games

This paper studies reputation effects in a dynamic simultaneous-offer bilateral bargaining game in which one player might have some kind of irrational commitment that compels him to insist on some particular bargaining allocation. It is shown that if this player insists on this allocation, then the bargaining game will end within the first few rounds and he can get an expected payoff close to that allocation. More importantly, the upper bound within which the bargaining game ends does not depend on the relative strength of the two players.     

Environmental evaluation of agri-environment schemes using participatory approaches: Experiences of testing the Agri-Environmental Footprint Index

The Agri-Environment Footprint Index (AFI) has been developed as a generic methodology to assess changes in the overall environmental impacts from agriculture at the farm level and to assist in the evaluation of European agri-environmental schemes (AES). The methodology is based on multi-criteria analysis (MCA) and involves stakeholder participation to provide a locally customised evaluation based on weighted environmental indicators. The methodology was subjected to a feasibility assessment in a series of case studies across the EU. The AFI approach was able to measure significant differences in environmental status between farms that participated in an AES and non-participants. Wider environmental concerns, beyond the scheme objectives, were also considered in some case studies and the benefits for identification of unintentional (and often beneficial) impacts of AESs are presented. The participatory approach to AES evaluation proved efficient in different environments and administrative contexts. The approach proved to be appropriate for environmental evaluation of complex agri-environment systems and can complement any evaluation conducted under the Common Monitoring and Evaluation Framework. The applicability of the AFI in routine monitoring of AES impacts and in providing feedback to improve policy design is discussed.     

Determinants of Different Modes of FDI: Firm-Level Evidence from Japanese FDI into the US

There are four major modes through which firms undertake foreign direct investment (FDI) – merger and acquisition (M&A), joint venture (JV), new plant (NP) and others (O). The four modes of FDI are distinct from each other, and each has its own unique advantages and disadvantages. While a large and growing empirical literature examines the determinants of FDI, very few studies examine the determinants of different modes of FDI. The central objective of this paper is to empirically analyze the extent to which the determinants of FDI such as firm size influences the choice of one mode of FDI over another. Our analysis follows a stylized two-stage investment process. First, we look at the probability of whether a Japanese firm is willing to undertake FDI in the US. Second, for firms that are willing to undertake FDI, we analyze which mode of FDI - i.e. M&A, joint venture, new plant or other FDI – they will undertake. The second stage is the innovation of this paper and its contribution to the FDI literature.     

Sources of and Responses to the Liability of Foreignness: The Case of Korean Companies in the Netherlands

Abstract

This study aims to investigate the liability of foreignness, or the additional difficulties of foreign companies compared to their local competitors. Past studies have found fair amount of empirical evidences for the liability of foreignness. The present study attempts to take one step further by addressing two questions: what are the sources of such disadvantages and what are the solutions sought by the companies? To do this, we conducted a field study exploring the on-going dynamics of foreign multinationals. Specifically, we collected primary data through interviews with Dutch and Korean managers of Korean multinational companies. Through the interviews, we found evidence for the existence of such disadvantages. We identified four sources of the liability of foreignness—cross-border transfer, interaction with the local government, local discrimination, and interaction within the multinational—and two ways in which these companies actively reduced their exposure to the problem—localization and unfamiliarity reduction. This study should be useful to both practitioners and theorists in international business with an interest in disadvantages connected to the foreign status of a company.