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Re-estimation of firms' total factor productivity in China's iron and steel industry

机译:对中国钢铁行业企业全要素生产率的重新估计

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摘要

Using the firm-level census data, this paper re-estimated the total factor productivity (TFP) of firms in China's iron and steel industry and examined its potential determinants over the period 1998-2007. To deal with the "endogenous input" problem, we used the semi-parametric regression techniques for estimating the firm-level TFP. The results suggest that firms' TFP in China's iron and steel industry has been steadily increasing over time with the key drivers of productivity improvement differing substantially between firms with different characteristics including their size, ownership type and geographical location. Notably, the productivity of small firms is positively related to market share and negatively related to R&D. Large state-owned enterprises' productivity is relatively insensitive to changes in market share and R&D, while the non-state owned enterprises are more likely to obtain their productivity gains through export. Increasing firm size is generally positively correlated to firms' performance in TFP, and it is more so in the less developed Western than the Eastern and Central regions. The findings suggest that different policy instruments targeting firms with different characteristics in the process of restructuring the industry may be desirable.
机译:本文使用企业级人口普查数据,重新估算了中国钢铁行业企业的全要素生产率(TFP),并研究了其在1998-2007年期间的潜在决定因素。为了处理“内生输入”问题,我们使用了半参数回归技术来估计企业级的全要素生产率。结果表明,随着时间的推移,中国钢铁行业企业的全要素生产率一直在稳步增长,生产力提高的关键驱动力在规模,所有权类型和地理位置等不同特征的企业之间也存在很大差异。值得注意的是,小企业的生产率与市场份额成正比,与研发负相关。大型国有企业的生产率对市场份额和研发的变化相对不敏感,而非国有企业则更有可能通过出口获得生产率的提高。公司规模的扩大通常与TFP中公司的业绩呈正相关,在欠发达的西部地区,这种情况比东部和中部地区更为明显。研究结果表明,针对行业重组过程中具有不同特征的公司的不同政策工具可能是可取的。

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