SPATIAL CONCENTRATION AND FIRM-LEVEL PRODUCTIVITY IN KAZAKHSTAN

Z. Adilkhanova
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Abstract

Purpose of the research. This paper studies the effect of spatial agglomeration on firms’ total factor productivity in Kazakhstan using panel data from 2009 to 2017.Methodology. We employ a two-stage estimation strategy and control for endogeneity biases by making use of the GMM approach. The firm-level data is obtained from the Bureau of National Statistics of the Agency for Strategic Planning and Reforms of the Republic of Kazakhstan.Originality / value of the research. This study contributes to an empirical study of spatial concentration and firm-level productivity in developing countries and provides valuable insights for policymakers to consider before implementing government programs.Findings. The results suggest that productivity increases with clustering: a 10 % increase in the number of employees of the neighboring firms inside the same industry increases firm-level productivity by 1.36 %, while a 10 % increase in employment in other industries enhances firm performance by 1.95 %. The productivity gains are higher at the 2-digit regional level rather than at the 9-digit sub-regional level of geographical aggregation, implying that the denser geography increases firms’ performance.
哈萨克斯坦的空间集中度与企业生产率
研究目的:本文利用2009 - 2017年的面板数据,研究了空间集聚对哈萨克斯坦企业全要素生产率的影响。我们采用两阶段的估计策略,并通过使用GMM方法控制内生性偏差。公司一级的数据来自哈萨克斯坦共和国战略规划和改革机构国家统计局。研究的独创性/价值。本研究为发展中国家空间集中度与企业生产率的实证研究做出了贡献,并为政策制定者在实施政府计划之前提供了有价值的见解。结果表明,生产率随着集群的增加而增加:同一行业内相邻企业的员工数量每增加10%,企业层面的生产率就会提高1.36%,而其他行业的就业人数每增加10%,企业绩效就会提高1.95%。在2位数的区域水平上,生产率增长高于9位数的次区域水平,这意味着地理密度越高,企业绩效越高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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