Purpose This study aims to analyze the structure and trend in employment in the Indian economy between 1980-8081 and 2015-2016. Design/methodology/approach Use of India KLEMS data set. Estimate growth rate of employment and discuss employment prospects using “Point” employment elasticity. Findings Whilst India’s GDP growth rate has been quite impressive since the reforms of 1991, the rate of employment growth, especially in the recent period of 2003-2015, has been quite slow (1 per cent) with low employment elasticity (0.1). The pattern of employment growth has also been imbalanced with slow rate of employment growth in manufacturing and rapid growth rate in the construction sector. India now also has low labour force participation rate and a large share of informal employment in the economy. Research limitations/implications The limitation is the lack of reliable data on employment for the recent period. Practical implications With overall low employment elasticity, India would have to explore sectors where more employment opportunities could be created. Social implications India has to create not only more jobs but also “good” jobs. Originality/value The India KLEMS data provide a time series for employment, which has been used in this paper to find “Point” elasticity instead of arc elasticity of employment and is an improvement over existing employment elasticity estimates.

中文翻译：

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就业结构和增长：来自印度 KLEMS 数据的证据

目的 本研究旨在分析 1980-8081 年和 2015-2016 年间印度经济的就业结构和趋势。设计/方法/方法 使用印度 KLEMS 数据集。使用“点”就业弹性估算就业增长率并讨论就业前景。调查结果 虽然自 1991 年改革以来印度的 GDP 增长率相当可观，但就业增长率，特别是在 2003-2015 年的最近时期，一直相当缓慢（1%），就业弹性低（0.1）。就业增长格局也出现失衡，制造业就业增速放缓，建筑业就业增速较快。印度现在的劳动力参与率也很低，而且在经济中非正规就业的比例很大。研究限制/影响 限制是缺乏关于近期就业的可靠数据。实际影响 由于整体就业弹性较低，印度将不得不探索可以创造更多就业机会的部门。社会影响 印度不仅要创造更多的就业机会，还要创造“好”的就业机会。原创性/价值 印度 KLEMS 数据提供了就业的时间序列，本文已使用它来寻找“点”弹性而不是就业的弧形弹性，并且是对现有就业弹性估计的改进。社会影响 印度不仅要创造更多的就业机会，还要创造“好”的就业机会。原创性/价值 印度 KLEMS 数据提供了就业的时间序列，本文已使用它来寻找“点”弹性而不是就业的弧形弹性，并且是对现有就业弹性估计的改进。社会影响 印度不仅要创造更多的就业机会，还要创造“好”的就业机会。原创性/价值 印度 KLEMS 数据提供了就业的时间序列，本文已使用它来寻找“点”弹性而不是就业的弧形弹性，并且是对现有就业弹性估计的改进。