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on China |
| By: | Warwick J. McKibbin |
| Date: | 2005–12 |
| URL: | http://d.repec.org/n?u=RePEc:pas:camaaa:2005-29&r=cna |
| By: | Charles Ka Yui Leung (City University Hong Kong); Peiling Wei (City University Hong Kong) |
| Abstract: | Due to the relocation of manufacturing facilities from Hong Kong to Mainland China, it is widely believed that some vacant private factories have been used as offices in Hong Kong. Yet there is no direct and systematic evidence to support this speculation. In fact, according to MacGregor and Schwann (2003), industrial and commercial real estate shares some common features. Our research attempts to investigate empirically the price and volume relationship between industrial and commercial real estate, using both aggregate and disaggregate data from the industrial and commercial property markets in Hong Kong. The study was built on the observation that economic restructuring and geographical distance will affect the substitutability (and thus the correlation) of different types of property, and utilizes commonly used time series techniques for analysis. Policy implications are discussed. |
| Keywords: | aggregation bias, geographical distance, industrial real estate, |
| JEL: | G12 L80 R30 |
| Date: | 2006–02 |
| URL: | http://d.repec.org/n?u=RePEc:eab:financ:700&r=cna |
| By: | Fan, Xuejun; Jacobs, Jan; Lensink, Robert (Groningen University) |
| Abstract: | This paper contributes to the empirical finance-growth literature by examining the relationship between financial depth, banking sector development, stock market development and economic growth in China. After an extensive survey on recent financial reforms in China, we apply Granger (non-)causality tests for non-stationary variables to examine long-run and short-run causality between economic growth and financial development. We find positive relationships between financial depth, banking sector development and growth. However, stock market development does not seem to have a positive effect on long-run economic growth. |
| Date: | 2005 |
| URL: | http://d.repec.org/n?u=RePEc:dgr:rugccs:2005/09&r=cna |
| By: | Vereecke, A.; De Meyer, A. |
| Abstract: | Offshoring manufacturing to low labor cost countries has become trendy. Nearly everyday one sees an announcement in the business press of companies moving to China or India. Whilst production cost is an important consideration in choosing a location for the factory, we argue that one should not become victim of a herd effect and that other parameters e.g. quality, flexibility, transportation and energy costs, etc. need to be taken into consideration in the determination of the optimal manufacturing network. Relocating a factory is changing the strategic architecture of the company’s manufacturing network and requires a long term view and a good model to design the architecture of the manufacturing network. Based on empirical survey research and a set of case studies we provide such a model to think about the roles of factories in the strategic manufacturing network of the firm. But we go beyond a classification and a descriptive model and we provide a set of six managerial issues that require senior management’s attention in determining the optimal manufacturing network and its dynamic evolution. We argue for example that senior management needs to build a balanced portfolio of different types of factories, has to have a performance measurement system adapted to the type of factory, as well as the appropriate leadership for each of the different types of factories and needs to actively manage the dynamics and the flows of innovation in the factory network. |
| Keywords: | international manufacturing, network management, outsourcing |
| Date: | 2006–04–26 |
| URL: | http://d.repec.org/n?u=RePEc:vlg:vlgwps:2006-12&r=cna |
| By: | John Gibson (University of Waikato); Susan Olivia (University of California, Davis); Scott Rozelle (University of California, Davis) |
| Abstract: | This paper investigates whether there is a non-linear relationship between income and the private transfers received by households in developing countries. If private transfers are unresponsive to household income, expansion of public social security and other transfer programs is unlikely to crowd out private transfers, contrary to concerns first raised by Barro and Becker. There is little existing evidence for crowding out effects in the literature, but this may be because they have been obscured by methods that ignore non-linearities. If donors switch from altruistic motivations to exchange motivations as recipient income increases, a sharp non-linear relationship between private transfers and income may result. In fact, threshold regression techniques find such non-linearity in the Philippines and after accounting for these there is evidence of serious crowding out, with 30 to 80 percent of private transfers potentially displaced for low-income households [Cox, Hansen and Jimenez 2004, 'How Responsiveare Private Transfers to Income?' Journal of Public Economics]. To see if these non-linear effects occur more widely, semiparametric and threshold regression methods are used to model private transfers in four developing countries - China, Indonesia, Papua New Guinea and Vietnam. The results of our paper suggest that non-linear crowding-out effects are not important features of transfer behaviour in these countries. The transfer derivatives under a variety of assumptions only range between 0 and -0.08. If our results are valid, expansions of public social security to cover the poorest households need not be stymied by offsetting private responses. |
| Keywords: | crowding out; private transfers; social security |
| JEL: | H55 O15 |
| Date: | 2006–03–31 |
| URL: | http://d.repec.org/n?u=RePEc:wai:econwp:01/06&r=cna |