Productivity spillovers and characteristics of foreign multinational plants in Indonesian manufacturing 1990-1995

By S. Takii. 2005

210 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Strategy and Management

View Paper: https://www.semanticscholar.org/paper/069d7b1911eea85edd10796ad550c073133cb536

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Citations in the corpus

Making Global Value Chains Work for Development (2016, unknown): “Source: Adapted from Enterprise Surveys (World Bank). Note: The relevant data for each country are as follows: Bulgaria (2013), China (2012), Germany (2005), Poland (2013), Portugal (2005), Romania (2013), and Turkey (2008).”
The impact of FDI in land in agriculture in developing countries on host country food security (2018, background): “…suggested that the smaller technological gap between developing-country investors and local firms in developing host countries (Lecraw, 1977; Lipsey & Sjöholm, 2011; Luo, Zhao, Wang, & Xi, 2011) should make foreign knowledge and capabilities easier to be absorbed and applied locally (Takii, 2005).”
Emerging multinationals: outward FDI from the BRICS countries (2008, background): “However, the opposite assumption is equally reasonable: gaps could be too large and technology and routines deployed by TNCs too remote from the host economy for any significant spillovers to occur (Kokko, 1994; Taki, 2005; Girma et al., 2001).”
Multinational corporations’ economic and human rights impacts on developing countries: a review and research agenda (2014, background): “Some econometric studies find evidence of positive spillovers for domestic firms (see among others, Kokko, 1994; Blomstrom et al., 1994 for Mexico; Sjoholm, 1999 for Indonesia; Javorcik, 2004b for Lithuania; Takii, 2005 for Indonesia; Wei and Liu, 2006 for China; Javorcik and Spatareanu, 2009 for th”
A Meta-Analysis of FDI and Productivity Spillovers in Developing Countries (2017, background): “These include Blomström and Persson (1983), Kokko et al. (1996, 2001), Takii (2005), and Kathuria (2010).”
A spatial autoregressive stochastic frontier model for panel data with asymmetric efficiency spillovers (2015, background): “A central feature of the SAR stochastic frontier which we develop is spatial e¢ ciency, or in other words, e¢ ciency spillovers, which complements the literature on estimating productivity spillovers (Chandra and Staiger, 2007; Girma, 2005; Takii, 2005; Girma and Wakelin, 2007; Girma et al., 2008).”