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Small and Medium Enterprises (MSME) Survey 2016 - Kenya

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statistics.knbs.or.ke2022-06-01 更新2025-03-27 收录
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Abstract --------------------------- The MSME sector in Kenya has over the years been recognized for its role in provision of goods and services, enhancing competition, fostering innovation, generating employment and in effect, alleviation of poverty. The crucial role of MSMEs is underscored in Kenya's Vision 2030 - the development blueprint which seeks to transform Kenya into an industrialized middle-income country, providing a high-quality life to all its citizens by the year 2030. The MSME sector has been identified and prioritized as a key growth driver for achievement of the development blue print. The measurement of the size of the sector in terms of employment as well as its contribution to Gross Domestic Product [GDP] and the generation of income is of major importance. This is not only because of their usefulness in the design of appropriate policies and programmes but also in understanding their dynamics in terms of income, wages, growth patterns, sector and their evolving nature among others. MSMEs tend to be dynamic: the structure and their operations change considerably within a short time. The last comprehensive study is the 1999 National Micro and Small Enterprise (MSE) Baseline Survey. The 2016 National MSME Survey was therefore, designed to respond to the existing data gap and sought to provide data at national and county levels. The unit of observation was the establishments and the survey targeted those that engaged at most 99 persons. The terms establishment, enterprise and business are however, used interchangeably in this report. Geographic coverage --------------------------- i) National ii) Counties and iii) Urban and rural residence Analysis unit --------------------------- i) National ii) Counties and iii) Urban and rural residence Kind of data --------------------------- Census/enumeration data [cen] Sampling procedure --------------------------- Survey Design The previous MSE studies used the household-based approach to identify businesses/establishments. However, the 2016 MSME survey, in addition to the household-based approach, interviewed businesses/establishments identified from business registers maintained by county governments. The 2016 MSME survey was cross-sectional and was designed to provide estimates at national and county levels. The survey used a representative probability sample design aimed at producing estimates at the following domains; · National · Counties and · Urban and rural residence (For Unlicensed businesses only. The survey adopted a stratified random sampling method for the establishment-based sample in which a systematic random sample of establishments was drawn using equal probability selection method. For the household-based sample, a two-stage stratified cluster sampling design was used where the first stage involved selection of 600 clusters (354 in rural and 246 in urban) with equal probability. In the second stage, a uniform random sample of 24 households in each cluster was selected using systematic random sampling method. Mode of data collection --------------------------- Face-to-face [f2f] Research instrument --------------------------- One Enterprise questionnaire

摘要 --------------------------- 肯尼亚的中小企业(MSME)部门多年来因其提供商品和服务、增强竞争、促进创新、创造就业以及有效缓解贫困的作用而备受认可。中小企业在肯尼亚的2030年愿景中扮演着至关重要的角色——该愿景是一份旨在将肯尼亚转型为工业化中等收入国家的蓝图,并计划在2030年之前为所有公民提供高质量生活的计划。中小企业已被确定为实现这一发展蓝图的关键增长动力。 从就业规模、对国内生产总值(GDP)的贡献以及收入生成等方面衡量该部门的规模具有重要意义。这不仅是因为它们在制定适当的政策和项目中的有用性,还在于理解它们在收入、工资、增长模式、行业及其演变性质等方面的动态。中小企业往往具有动态性:其结构和运营在短时间内会发生显著变化。最后一次全面研究是1999年的全国微型和中小企业(MSE)基准调查。因此,2016年全国中小企业调查旨在填补现有数据缺口,并旨在提供国家和地区的相关数据。观测单位为机构,调查目标为最多雇佣99人的机构。然而,在本报告中,机构、企业和业务等术语被交替使用。 地理覆盖范围 --------------------------- i) 全国 ii) 各县 iii) 城市和农村居民 分析单位 --------------------------- i) 全国 ii) 各县 iii) 城市和农村居民 数据类型 --------------------------- 人口普查/统计数据 [cen] 抽样程序 --------------------------- 调查设计 之前的中小企业研究采用了基于家庭的调查方法来识别企业/机构。然而,2016年的中小企业调查不仅采用了基于家庭的调查方法,还采访了由县政府维护的商业登记簿中确定的企业/机构。2016年的中小企业调查是一项横断面调查,旨在提供国家和县级的估计值。调查采用了旨在产生以下领域估计值的代表性概率抽样设计; · 全国 · 各县 · 城市和农村居民(仅限未获许可证的企业) 调查采用分层随机抽样方法对基于机构的样本进行抽样,其中使用等概率选择方法从机构中抽取系统随机样本。对于基于家庭的样本,采用两阶段分层集群抽样设计,第一阶段涉及选择600个集群(农村354个,城市246个),概率均等。在第二阶段,使用系统随机抽样方法在每个集群中选取24户家庭的均匀随机样本。 数据收集方式 --------------------------- 面对面 [f2f] 研究工具 --------------------------- 一份企业问卷
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