阿萨姆邦Dibrugarh地区微型企业技术效率绩效:随机前沿分析

R. Nomani, T. Ali
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引用次数: 0

摘要

本研究分析了迪布鲁加尔邦微型企业的技术效率绩效;阿萨姆邦的一个发达的工业区,使用随机生产前沿模型。它是基于通过对115家微型制造企业进行实地调查收集的公司层面的横断面数据。结果表明,在生产过程中存在高度的技术低效。产出对劳动力的反应比对资本的反应更灵敏,这表明可以通过增加劳动力而不是增加机械化来获得更高的生产率。企业规模收益递减,说明企业规模处于超优状态,需要采取合理的减缩政策。此外,本文还尝试使用Coelli的低效率效应模型来识别导致低效率的企业特定和企业背景变量。研究发现,熟练劳动力比例、企业年龄、性别和企业家经验对企业的技术效率有显著影响。从政策角度看,熟练劳动力的强大影响力表明需要对当地劳动力进行技能升级和培训。企业年龄的影响是一个指针,表明在实践中学习和积累知识的原则的好处。因此,在建立新企业的同时,政府的支持政策必须侧重于改组和改造现有的老企业。经验证据还指出,需要制定针对具体行业和性别的政策指导方针。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Technical Efficiency Performance among Micro Enterprises in Dibrugarh District (Assam): A Stochastic Frontier Analysis
This study analyses technical efficiency performance among micro enterprises in Dibrugarh; a developed and industrialised district in Assam using the Stochastic Production Frontier Model. It is based on cross sectional firm-level data collected through a field survey from 115 micro manufacturing enterprises. The results indicate the presence of a high degree of technical inefficiency in the production process. Output is more responsive to labour than capital, which points that higher productivity can be obtained by increasing labour and not by increasing mechanization. The enterprises are subject to decreasing returns to scale, suggesting that they are of supra-optimal size and need to adopt a policy of rational downsizing. Further, an attempt has been made to identify firm-specific and entrepreneurial background variables responsible for inefficiency using Coelli’s Inefficiency Effects Model. It is found that skilled labour ratio, firm-age, gender and experience of the entrepreneur significantly affect technical efficiency in the firms. From policy perspective, the strong influence of skilled labour points to the needfor skill upgradation and training of the local labour force. The influence of age of firms is a pointer to the benefits of the principle of learning-by-doing and accumulated knowledge. Thus, along with the establishment of new enterprises, government support policies must focus on reorganization and rehabilitation of existing old firms. The empirical evidences also point to the need for industry–specific and gender-specific policy guidelines.
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