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What drives total factor productivity and its growth in post-communist countries? The case ofthe Czech food industry

机译:什么推动了总要素的生产力及其在共产党国家的增长? 捷克食品工业的案例

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Purpose - The paper aims to investigate factors that drive the total factor productivity (TFP) and its growth in the Czech food industry over 2003-2017. The authors' analysis focuses on firm-level characteristics such as location choice, sub-sector affiliation, use of debt, liquidity, asset turnover, firm size and firm age. Design/methodology/approach - The determinants of productivity were tested econometrically by estimation of multivariate regression models. The firm-level panel data set consistedof 14,488 observations (data of980 firms spanning 15 years). TFP was estimated by three regression-based techniques - ordinary least squares (OLS) regression, instrumental variables (TV) approach and two-way generalized method of moments (GMM) regression. All three measures of TFP were used as outcome variables to estimate the impact of firm-level determinants on both TFP level and growth.Findings - The results have shown statistically significant and reversed U-shaped relationship between the firm age and the TFP level (with a turning point in the age of 12.5 years). However, the dynamic models investigating the TFP growth have found that younger firms achieve higher productivity growth in comparison with older ones. Higher market share and assets turnover were positively associated with both TFP level and its growth.Research limitations/implications - This study brings several relevant propositions for future research. First, the authors recommend future researchers to study not only differences in the levels of productivity but also determinants of its growth. Second, the authors believe that adding a non-linear component to age as a factor explaining changes in the levels of productivity might be a very relevant contribution to the literature. Originality/value - Although it is generally accepted that successfuland sustainable growth of firms, regions and economies can be achieved particularly through viable companies with high productivity, there is still a limited number of firm-level studies explaining the determinants of productivity levels and growth in agribusiness sectors in transition economies. Therefore, this study is expected to contribute to a better understanding of this important topic.
机译:目的 - 论文旨在调查2003 - 2017年捷克食品行业的总因素生产率(TFP)的因素及其增长。作者的分析侧重于现实选择,子部门隶属,债务,流动性,资产营业额,公司规模和公司年龄等地点的级别特征。设计/方法/方法 - 通过估计多变量回归模型来测试生产率的决定因素。公司级别面板数据集包括14,488个观察(1980年的数据,跨越15年的数据)。 TFP估计了三种基于回归的技术 - 普通的最小二乘(OLS)回归,仪器变量(电视)方法和双向广义的时刻(GMM)回归。所有三种TFP措施都被用作结果变量,以估计企业级别决定因素对TFP水平和增长的影响。 - 结果表明了公司年龄与TFP水平之间的统计显着和逆转U形关系(与12.5岁的转折点)。然而,调查TFP增长的动态模型发现,与较大的公司相比,年轻的公司实现了更高的生产力增长。市场份额和资产营业额较高与TFP级别呈积极相关,其增长与其增长。研究限制/影响 - 这项研究为未来的研究带来了几个相关的主张。首先,提交人建议未来的研究人员对生产力水平的差异,而且还要研究其增长的决定因素。其次,作者认为,作为解释生产力水平变化的因素,将非线性组件添加到年龄可能是对文献的非常相关的贡献。原创性/价值 - 尽管普遍认为,尤其是通过高生产率高的可行性公司实现成功的公司,地区和经济体的可持续增长,仍有有限数量的企业级研究,解释了生产率水平和增长的决定因素转型经济体的农业综合企业部门。因此,预计这项研究有助于更好地了解这一重要主题。

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