This study analyses the impact of industrial agglomeration on the total factor productivity (TFP) of Indian manufacturing. We employ plant-level data from the Annual Survey of Industries (ASI) to measure TFP and industrial agglomeration. Our econometric analysis discerns a positive impact of industrial agglomeration on plant productivity. In addition, we find that the larger plants are the beneficiaries of productivity gains associated with agglomeration. Further, our findings are robust to alternate measures of TFP.
This study analyses the role of the caste of firms in getting finance or credit from different financial sources in Jharkhand. We find that establishments belonging to Scheduled Tribe (ST) and Scheduled Caste (SC) owners have a lower probability of getting credit from different financial sources like the government, financial institutions, non-financial institutions, or money lenders.
In-house R&D, importing technology and R&D tax credit play different roles in different economies. The role even may change among firms of various technological intensities. Therefore, this study investigates the impact of in-house R&D, importing technology and R&D tax credits on India’s manufacturing firms’ productivity according to their technological intensity. Our results show that R&D and technology imports have a significant and positive impact on productivity in all technologically intense industries. We have further estimated a substitute relationship between R&D and Importing Technology in high-tech, medium–high-tech and medium–low-tech industries. However, the complementarity relationship between R&D and importing technology appears more pronounced in low-tech industries. Further, the R&D tax credit policy positively impacts firm productivity in medium–high-tech, medium–low-tech and low-tech industries. In order to boost productivity, there need to be policies that support R&D, including R&D tax incentives for companies in all technologically intensive industries. JEL Classifications: C23, D24, O31, 032
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