The Indian economy has one of the highest transportation and logistics cost as a percentage of gross domestic product (13%) globally. This paper analyses trends in profitability and discusses some key macro and micro level factors influencing the Indian logistics industry comprising road transport logistics, storage and distribution. It discusses the role of macroeconomic factors such as tax policy in influencing the logistics network complexity, which in turn increase logistics costs. At a micro level, the paper uses firm-level data of 201 companies from Prowess database and estimates an econometric model to analyse major determinants of profitability in the logistics sector. The study finds that liquidity, market share, debt-equity, and age are significant determinants of profitability in the logistics sector.
The Indian economy has one of the highest transportation and logistics cost as a percentage of gross domestic product (13%) globally. This paper analyses trends in profitability and discusses some key macro and micro level factors influencing the Indian logistics industry comprising road transport logistics, storage and distribution. It discusses the role of macroeconomic factors such as tax policy in influencing the logistics network complexity, which in turn increase logistics costs. At a micro level, the paper uses firm-level data of 201 companies from Prowess database and estimates an econometric model to analyse major determinants of profitability in the logistics sector. The study finds that liquidity, market share, debt-equity, and age are significant determinants of profitability in the logistics sector.
Abstract:Learning is an important factor that explains inter-firm differences in performances over time. This paper analyses the impact of government policy regime on the learning abilities of firms and markets over time. Through a case study analysis of the Indian automotive industry, this paper develops three hypotheses relating policy regimes with learning strategies of firms. This paper tests these hypotheses through a model of learning using a panel data for the Indian automotive industry. The study finds that speed of knowledge assimilation is more important in the liberalised policy regime vis-à-vis protection when knowledge assimilation per se was a more important economic goal.
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