Cultural Distance between China and US across GLOBE Model and Hofstede Model

This study focuses on the comparison of cultural distance between China and US across GLOBE (the Global Leadership and Organizational Behavior Effectiveness) Model and Hofstede Model. Research in the cultural distance between the two countries has always been a hot topic in international business field. This paper first gives a brief introduction of GLOBE Model and Hofstede Model, and compares the cultural distance between China and US from the 9 dimensions in GLOBE Model and the 5 dimensions in Hofstede Model, and then compares the different results yielded. Finally a way forward in the future research is suggested, and some issues for further research into this fundamental area of international business are canvassed.Key words: Cultural distance; GLOBE Model; Hofstede Model; China; U

Even cycles and perfect matchings in claw-free plane graphs

Lov{\'a}sz showed that a matching covered graph $G$ has an ear decomposition starting with an arbitrary edge of $G$. Let $G$ be a graph which has a perfect matching. We call $G$ cycle-nice if for each even cycle $C$ of $G$, $G-V(C)$ has a perfect matching. If $G$ is a cycle-nice matching covered graph, then $G$ has ear decompositions starting with an arbitrary even cycle of $G$. In this paper, we characterize cycle-nice claw-free plane graphs. We show that the only cycle-nice simple 3-connected claw-free plane graphs are $K_4$, $W_5$ and $\overline C_6$. Furthermore, every cycle-nice 2-connected claw-free plane graph can be obtained from a graph in the family ${\cal F}$ by a sequence of three types of operations, where ${\cal F}$ consists of even cycles, a diamond, $K_4$, and $\overline C_6$.Comment: 12 page

Measuring Rural Poverty in China: a Case Study Approach

This paper measures rural poverty in Hubei Province and Inner Mongolia in China. The poverty lines we derived by Ravallion's method differ from the official Chinese poverty lines. The official pan-country poverty line underestimates rural poverty in Hubei Province and overestimates rural poverty in Inner Mongolia. Poverty determinants are estimated by Logit as well as Probit models. The study notes that factors such as living in a mountainous area, lack of better irrigation conditions, a large family size, few fixed assets, few land owned and sole dependence on agriculture as a livelihood source would make a rural household more vulnerable to poverty. On the other hand, a rural household whose members are either better educated or trained laborers would statistically be less poor. The growth-redistribution decomposition reveals that for all the three FGT indexes in Hubei province, income growth contributed much to the alleviation of poverty, while the redistribution or inequality effects counteracted the growth effects and worsened poverty. The poverty incidence decomposition results reveal that about one third of the growth effects had been counteracted by the redistribution effects. This implies that future anti-poverty programs should pay more attention to solving the inequality problem in China. Poverty dominance analysis also helps us better understand the poverty situation. It reveals that rural poverty in Inner Mongolia is more severe than that in Hubei, and that poverty incidence in Hubei has lessened from 1997 to 2003, which are the same findings as those drawn from deriving poverty lines.Rural Poverty Line, Poverty Determinants, Growth Redistribution Decomposition, Poverty Dominance, China