| 摘要: |
| 运用随机前沿分析模型，基于首轮“民工荒”后省级层面的制造业面板数据，在考虑创新投入产出时滞的情况下，测算了中国30个省份首轮“民工荒”后制造业的创新效率，并分析了劳动力成本对创新效率的影响。结果显示：1. 2004年首轮“民工荒”后，中国各省份劳动力成本迅速攀升，这在客观上对制造业创新效率提升构成了积极的影响，但这种影响存在明显的时滞，时滞大约为3年。2.总体上，中国制造业创新效率整体均值为0.4987，存在50%左右的效率损失，地区创新效率存在显著差异，区域发展不平衡的矛盾仍然客观存在。3. 劳动力成本与人力资本、国有化比重的交互项对创新效率存在一定的间接影响，这种影响存在显著的区域差异，劳动力成本与企业规模对创新效率的影响并不显著；此外，外商投资比重、市场竞争度对创新效率的影响也存在显著的区域差异。 |
| 关键词: 劳动力成本 创新效率 首轮“ 民工荒” 时滞 随机前沿分析 |
| DOI： |
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| Labor Cost and Innovation Efficiency of Manufacturing Industry——Empirical Analysis at Provincial Level after First Round of “Shortage of Migrant Workers” |
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YUAN Sheng-chao1 , GUO Yang-xu2
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| Abstract: |
| By using the stochastic frontier analysis model, based on the manufacturing panel data of provincial level after the first round of “shortage of migrant workers”, and by considering the time lag of innovation input and output, this paper calculates the technical efficiency of Chinese 30 provinces after the first round of “shortage of migrant workers”, and analyzes the influence of labor cost on technology innovation efficiency. The results show that: firstly, after 2004, the first round of "shortage of migrant workers", the labor cost in the provinces of China has been increased rapidly, which constitutes a positive effect on manufacturing innovation efficiency objectively, but it has obvious time lag, time lag is about three years. Secondly, on the whole, the average innovation efficiency of China's manufacturing industry is only about 0.4987, it means that the efficiency loss is about 50%, and there are significant differences in regional innovation efficiency, there exists the imbalanced contradiction of regional development. Thirdly, the interaction term of human capital, ownership and labor costs also have obvious indirect impact on enterprise innovation efficiency, there are significant differences between different regions while the influence of labor cost and firm scale on innovation efficiency is not significant. In addition, the scale of foreign investment, the market competition degree also have very different influence on innovation efficiency between different regions. |
| Key words: labor cost innovative efficiency first round of shortage of migrant workers time lag stochastic frontier analysis |
