全文获取类型
| 收费全文 | 209篇 |
| 免费 | 8篇 |
专业分类
| 217篇 |
出版年
| 2023年 | 5篇 |
| 2022年 | 1篇 |
| 2021年 | 4篇 |
| 2020年 | 6篇 |
| 2019年 | 19篇 |
| 2018年 | 19篇 |
| 2017年 | 11篇 |
| 2016年 | 10篇 |
| 2015年 | 14篇 |
| 2014年 | 11篇 |
| 2013年 | 30篇 |
| 2012年 | 8篇 |
| 2011年 | 10篇 |
| 2010年 | 7篇 |
| 2009年 | 14篇 |
| 2008年 | 9篇 |
| 2007年 | 5篇 |
| 2006年 | 5篇 |
| 2005年 | 2篇 |
| 2004年 | 3篇 |
| 2003年 | 4篇 |
| 2002年 | 6篇 |
| 2001年 | 2篇 |
| 1999年 | 1篇 |
| 1998年 | 2篇 |
| 1995年 | 1篇 |
| 1994年 | 1篇 |
| 1992年 | 1篇 |
| 1990年 | 1篇 |
| 1977年 | 1篇 |
| 1975年 | 1篇 |
| 1974年 | 1篇 |
| 1972年 | 1篇 |
| 1969年 | 1篇 |
排序方式： 共有217条查询结果，搜索用时 0 毫秒
91.
92.
93.
94.
95.
96.
97.
98.
In this article we analyse differences between capital‐ and labour‐intensive sectors with regard to the impact of workforce composition and labour mobility on plant performance. By the use of geo‐referenced longitudinal employer–employee data on a micro level, we analyse labour flows between plants within and between labour market regions. The analysis is carried out using weighted least squares (WLS) regression analysis combined with additional variance analysis (ANOVA). The results show that there are differences between the sectors with regard to both in‐house workforce composition and type of skill inflow. A high degree of related knowledge in the in‐house workforce has a strong positive effect on plant performance in the labour‐intensive sectors. The analysis of labour inflow indicates that knowledge in the capital‐intensive sectors is localized – only intra‐regional labour flows give rise to increased plant productivity. In the labour‐intensive sectors, the geographic and cognitive dimensions complement one another; similar knowledge needs to be non‐local in order to be beneficial to plant performance, and unrelated knowledge mainly contributes to plant productivity growth when it is local. 相似文献
99.
100.
ABSTRACT Why do some countries have no first‐order administrative subdivisions (e.g., states or provinces), whereas other countries have over 80? Recently, economists have started to look at the optimal size of countries and forces influencing the creation of local political jurisdictions like school districts. This paper provides the first analysis of the “missing middle” level of political jurisdictions common to all countries. We empirically examine how country size, natural transportation infrastructure, location, population fractionalization, and level of development affect the number of first‐order subdivisions. The number of first‐order subdivisions is shown to be associated in a nonlinear way with measures of fractionalization—exhibiting a U‐shaped Kuznets curve for ethnic heterogeneity and an inverted Kuznets curve for lingual and religious heterogeneity. This is a different and more complex relationship than that found for local political jurisdictions where greater heterogeneity is associated with more districts suggesting that first‐order political subdivisions may serve a different role. 相似文献