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Demystifying small and medium enterprises’ (SMEs) performance in emerging and developing economies

机译:揭露新兴和发展中经济体中小型企业(SME)业绩的神秘面纱

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Applying the General-to-Specific modelling on World Bank Enterprise Survey data for 266 economies, this paper models five performance indicators based on 80 potential factors derived from firm characteristics, finance, informality, infrastructure, innovation, technology, regulation, taxes, trade and workforce concerning small and medium enterprises (SMEs). We find that the factors vary regarding statistical significance and magnitude between small and medium enterprises. For example, the percent of firms using e-mail to interact with clients/suppliers has a positive effect on the annual employment growth of medium enterprises, but not the case of small enterprises. The proportion of investments financed by equity or stock sales has an adverse impact on small enterprises, while there is no such effect on medium enterprises. We find that more drivers explained the annual employment growth and the percent of firms buying fixed assets compared to capacity utilization, annual labor productivity growth, and real annual sales growth.
机译:本文使用世界银行对266个经济体的企业调查数据的通用模型对特定模型进行建模,基于80个潜在因素对五个绩效指标进行建模,这些潜在因素来自企业特征,财务,非正式性,基础设施,创新,技术,法规,税收,贸易和涉及中小企业的劳动力。我们发现,中小型企业之间的统计显着性和规模之间存在差异。例如,使用电子邮件与客户/供应商互动的企业百分比对中型企业的年度就业增长产生积极影响,而对小型企业则没有。由股权或股票出售融资的投资比例对小型企业有不利影响,而对中型企业则无此影响。我们发现,更多的驱动因素可以解释年度就业人数的增长以及购买固定资产的公司与产能利用率,年度劳动生产率的增长以及实际年度销售增长的百分比。

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