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| 1 |
ID:
119209
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| Publication |
2013.
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| Summary/Abstract |
In the traditional labor supply-demand approach, unemployment usually results from a lack of labor demand or excess of labor supply. However, in urban China, unemployment coexists with a conflicting phenomenon, shortage of workers in firms. In this study, we employ a novel approach to tackle this issue, search and matching theory, the empirical study of which has not drawn much attention in China. Our multiple model consisted of job-worker matching, job creation and destruction, rural-urban immigration and on-the-job search, and unemployment changes in China. We used non-linear estimation and the three-stage least squares analysis in this study. We found that matching efficiency declined greatly during the 1996-2008 period. The econometric model and simulation results indicated four key factors that led to changes in China's unemployment level: matching efficiency, job destruction, productivity growth, and job-search services. Finally, by using our econometric model, we identified the reasons for the shifts in the Beveridge curve.
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| 2 |
ID:
002182
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| Publication |
Boulder, Westview Press, 1991.
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| Description |
203p.,tables
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| Standard Number |
081338108
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Copies: C:1/I:0,R:0,Q:0
Circulation
| Accession# | Call# | Current Location | Status | Policy | Location |
| 033600 | 330.9881091724/KHA 033600 | Main | On Shelf | General | |
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| 3 |
ID:
132954
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| Publication |
2014.
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| Summary/Abstract |
This study estimates the impact of road expansion on off-farm activities in rural China. To achieve this goal, econometric models that capture the impact of road expansion on migration and local off-farm works are developed and estimated using individual data. Estimation results show that road expansion encourages farmers to participate in local off-farm work rather than migrate. In addition, road expansion also has a significant impact on the working time and income of local off-farm work.
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| 4 |
ID:
127198
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2014.
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| Summary/Abstract |
This paper studies the cost structure of Swiss gas distribution utilities. Several econometric models are applied to a panel of 26 companies over 1996-2000. Our main objective is to estimate the optimal size and scale economies of the industry and to study their possible variation with respect to network characteristics. The results indicate the presence of unexploited scale economies. However, very large companies in the sample and companies with a disproportionate mixture of output and density present an exception. Furthermore, the estimated optimal size for majority of companies in the sample has shown a value far greater than the actual size, suggesting remarkable efficiency gains by reorganization of the industry. The results also highlight the effect of customer density on optimal size. Networks with higher density or greater complexity have a lower optimal size
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