The Determinant of Foreign Direct Investment in ASEAN: A Semi-Gravity Approach

This study used a semi gravity model to identify the determinants of FDI in ASEAN countries. The results revealed that besides the market size for host and source country, other criteria such as the shorter the distance, common in language and border, the extended market relative to distance also attracts more foreign investors. Other macroeconomic factors such as lower inflation rate, the slightly higher in exchange rate and good management of the government budget are among the key factors that attract more FDI. In addition to economic factors, social factors such as good telecommunication and infrastructure and non-economic factors such transparency and trade policy also encourage more investors to the ASEAN.     

Games of capacity allocation in many-to-one matching with an aftermarket

In this paper, we study many-to-one matching (hospital–intern markets) with an aftermarket. We first show that every stable matching system is manipulable via aftermarket. We then analyze the Nash equilibria of capacity allocation games, in which preferences of hospitals and interns are common knowledge and every hospital determines a quota for the regular market given its total capacity for the two matching periods. Under the intern-optimal stable matching system, we show that a pure-strategy Nash equilibrium may not exist. Common preferences for hospitals ensure the existence of equilibrium in weakly dominant strategies whereas unlike in games of capacity manipulation strong monotonicity of population is not a sufficient restriction on preferences to avoid the non-existence problem. Besides, in games of capacity allocation, it is not true either that every hospital weakly prefers a mixed-strategy Nash equilibrium to any larger regular market quota profiles.     

Managing Organizational Paradoxes in Social Enterprises: Case Studies from the MENA Region

VOLUNTAS: International Journal of Voluntary and Nonprofit Organizations - This study aims to examine the question around how small- and medium-scale hybrid social enterprises within the context of...     

Exploring Moderating Effects of Violent Conflict on Household Welfare in a Resource-Constrained Environment: The Case of Sub-Saharan Africa

ABSTRACT

This study examines correlates of household welfare in three countries of sub-Saharan Africa, Tanzania, Zambia, and Zimbabwe, using data from the 2004 wave of the Afrobarometer survey. We also assess the role violent conflict might play in influencing this relationship. This subject has become especially relevant today in sub-Saharan Africa, given the growing disfranchisement of vulnerable individuals and households and increased incidents of violent conflict. Insight into the relationship between violent conflict and household welfare may be an important step in understanding why many sub-Saharan African countries have difficulties in stimulating economic growth and welfare. The study sample includes 3,525 respondents. Study findings provide partial support for the hypothesized relationship. Specifically, poverty reduction initiatives and informal assistance are associated with reduced hardship, while violent conflict is related to an increase in hardship. We also note that certain individual and household characteristics are linked to hardship. Practice and policy implications are suggested.     

The Compassion Strategy: Race and the Gender Gap in Campaign 2000

Recent studies have shown that social "compassion" issues, andnot those directly linked to women’s interests, seem todrive the gender gap in presidential vote choice. Some of thesecompassion issues are associated with the plight of racial minoritiesin the media and in the minds of average citizens. Drawing ontheories of gender role socialization, we predict that traditionalpartisan stands on racial issues may help to explain the gendergap. Specifically, we hypothesize that the gap emerges becausemen and women react differently to cues about how compassionatecandidates are toward vulnerable social groups. In one experiment,we manipulate news information regarding George W. Bush’scommitment to blacks versus women. The gender gap is maximizedwhen Bush takes the traditional Republican stance, while itis reduced significantly when Bush espouses a more moderateposition. The gender gap is unaffected by variation in the positionthat Bush takes on women’s issues. In another experiment,we also find that the gender gap emerges when traditional partisanappeals are racialized. Finally, exposure to the 2000 RepublicanNational Convention, with its message of racial inclusion, boostedevaluations of Bush among women but not men.     

ASYMMETRIES IN THE RESPONSES OF REGIONAL JOB FLOWS TO OIL PRICE SHOCKS

This paper studies the effect of oil price innovations on manufacturing job flows across U.S. states. First, I estimate a nonlinear structural equation model and compute impulse response functions by Monte Carlo integration. I find asymmetries in the responses of job flows to positive and negative oil price innovations. Yet, these asymmetries do not pass a test of symmetry on the impulse responses, especially after accounting for data mining. Third, I use a test for the absence of job reallocation to evaluate whether an unexpected increase in the real price of oil price triggers an important change in job reallocation. I find that oil price shocks have limited regional allocative effects. (JEL E24, E32, Q43)     

Detecting discontinuities in nonparametric regression curves and surfaces

The existence of a discontinuity in a regression function can be inferred by comparing regression estimates based on the data lying on different sides of a point of interest. This idea has been used in earlier research by Hall and Titterington (1992), Müller (1992) and later authors. The use of nonparametric regression allows this to be done without assuming linear or other parametric forms for the continuous part of the underlying regression function. The focus of the present paper is on assessing the evidence for the presence of a discontinuity within a regression function through examination of the standardised differences of ‘left’ and ‘right’ estimators at a variety of covariate values. The calculations for the test are carried out through distributional results on quadratic forms. A graphical method in the form of a reference band to highlight the sources of the evidence for discontinuities is proposed. The methods are also developed for the two covariate case where there are additional issues associated with the presence of a jump location curve. Methods for estimating this curve are also developed. All the techniques, for the one and two covariate situations, are illustrated through applications.     

Socio-ecological systems and biodiversity conservation in African city: Insights from Kano Emir’s Palace gardens

Urban biodiversity management in most African countries is at a peripheral stage. At the same time, African urban areas substantially remain poorly planned and intensively growing. This study explores the socio-ecological system as an alternative approach to explore African indigenous urban biodiversity management. For this purpose, we mixed conventional scientific investigation methods to explain the biodiversity conservation in the ancient gardens of the Kano palace in northern Nigeria. This multidisciplinary approach has successfully unveiled a harmonious relationship of humans and ecosystems in the context of African cultural values and heritage systems. The paper reveals that the palace gardens offer an avenue for intersection of a wide range of ecological and cultural activities. These include biodiversity conservation, recreation, security and surveillance, climate hazards proofing, and sacred dimensions. The findings of this study show that it is possible to address challenges confronting Africa’s urban biodiversity through the combination of scientific and indigenous systems.     

Trend,Growth Rate,and Change Point Analysis—A Data Driven Approach

A data-driven technique is proposed to estimate the trend and relative growth rate of time series data. The method is based on the local linear regression smoother and the only assumption about the form of the trend and growth rate function is that they are smooth functions of time. We also extended the method for handling sudden shifts or changes in the trend or growth rate functions by adding dummy variables for the jumps. Simulation studies are carried out to see the performance of the proposed procedure. The method is applied to study the trend and growth rate of wheat production in India from 1951–2005.