The thesis investigates how FDI intra-industry spillovers are affected by MNE ownership modes and sub-national locations. A conceptual framework is developed which utilises IB theories to propose how MNE ownership modes and sub-national locations are likely to matter for FDI spillovers. The research propositions are explored quantitatively using an unbalanced firm-level panel dataset of 1624 Indian manufacturing firms (1991-2008) with 5203 firm-year observations. The model estimation is carried out in STATA 13.0 in two stages; firstly, by using semi-parametric (Levinsohn-Petrin) method to derive the dependent variable (TFP of domestic firms); and secondly, by using fixed effects model estimated in first-differences to relate TFP of domestic firms' with different measures of foreign presence. Results from the first model reveal that WOSs and MAJVs have positive spillover effects whereas MIJVs have negative spillover effects in the Indian manufacturing sector. The second model finds that the net spillover effect in non-metropolitan regions is higher than in metropolitan regions. The thesis discusses the possible major policy implications of the results and considers possible reasons for the differences in the spillovers for different ownership modes and sub-national locations.

The thesis investigates how FDI intra-industry spillovers are affected by MNE ownership modes and sub-national locations. A conceptual framework is developed which utilises IB theories to propose how MNE ownership modes and sub-national locations are likely to matter for FDI spillovers. The research propositions are explored quantitatively using an unbalanced firm-level panel dataset of 1624 Indian manufacturing firms (1991-2008) with 5203 firm-year observations. The model estimation is carried out in STATA 13.0 in two stages; firstly, by using semi-parametric (Levinsohn-Petrin) method to derive the dependent variable (TFP of domestic firms); and secondly, by using fixed effects model estimated in first-differences to relate TFP of domestic firms' with different measures of foreign presence. Results from the first model reveal that WOSs and MAJVs have positive spillover effects whereas MIJVs have negative spillover effects in the Indian manufacturing sector. The second model finds that the net spillover effect in non-metropolitan regions is higher than in metropolitan regions. The thesis discusses the possible major policy implications of the results and considers possible reasons for the differences in the spillovers for different ownership modes and sub-national locations. / PhD Studentship, University of Bradford

Yes / Purpose – The purpose of this paper is to examine the role of dynamic marketing capabilities (DMC), foreign ownership modes and sub-national locations on the performance of foreign owned affiliates (FOAs) in developing economies. Design/methodology/approach – Based on a sample of 254 FOAs in Indian manufacturing sector (covering the period of 2000-2008 leading to 623 firm-year observations), the empirical paper adopts the panel data regression approach. Findings – The study confirms the significant importance of DMC to assist FOAs to gain better sales performance in an emerging market such as India. The findings indicate that Wholly Owned Foreign Affiliates (WOFAs) have better sales performance than International Joint Venture (IJV), and Majority-owned IJV (MAIJV) perform better than Minority-owned IJV (MIIJV) in the Indian manufacturing sector. The results confirm that effective deployment of DMC leads to better sales performance in WOFAs and to some extent in MAIJVs. Perhaps the most interesting finding is that developing DMC in non-Metropolitan areas is associated with higher sales growth than in Metropolitan locations. Originality/value – The study contributes to the literature by examining the impact of DMC on performance of FOA by considering the organised manufacturing sector in a large and fast growing developing economy. In addition, the results for the moderating effects provide novel evidence of the conditions under which DMC of FOA interacts with different ownership modes and influence firm performance.