2015
DOI: 10.1016/s2212-5671(15)00284-1
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Empirical Analysis of Foreign Direct Investments at NUTS 2 Region, in European Union and Romania

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Cited by 7 publications
(7 citation statements)
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“…Antonescu D. (Antonescu, 2015) 2015 Model -the model analyses FDI at regional level through the case study Romania at NUTS 2 level. Impact Still in use with major adjustments:…”
Section: Author Year Observationsmentioning
confidence: 99%
“…Antonescu D. (Antonescu, 2015) 2015 Model -the model analyses FDI at regional level through the case study Romania at NUTS 2 level. Impact Still in use with major adjustments:…”
Section: Author Year Observationsmentioning
confidence: 99%
“…Availability of labour force is an important indicator of resource-seeking export-oriented FDI (Dunning, 1993) which are typical in the case of Slovakia (Torrisi, 2015). Population density does not account for all sources of agglomeration economies, like intra-industry concentration and upstream and downstream industries concentration (Antonescu, 2015). Due to unavailability of industry-specific data on FDI on the county level, the variable level_FDI/inh (the amount of preexisting FDI in a region per inhabitant) was used to account for colocalization effects.…”
Section: /734mentioning
confidence: 99%
“…Initial empirical model used to estimate impact of agricultural land withdrawal on increase in domestic entrepreneurial activity (newENTRE/inhit) calculated as the number of newly established firms per capita, was conceptualized as follows:[2] newENTRE/inhit = β1HOUSINGit + β2INDUSTRYit + β3MININGit + β4TRANSPORTit + β5OTHERit + β5POP_DENSit + β7POP_WAGEit + β8AREAit +αi + εitAs was the case in the previous empirical model, the main explanatory variables express the amount of hectares of agricultural land withdrawn from the agricultural land fund for housing development, industrial development, mining, transport infrastructure development and others (HOUSING, INDUSTRY, MINING, TRANSPORT and OTHERS respectively). The population density was again used as a control for agglomeration and urbanization economies, which were established as strong predictors of the intensity of entrepreneurial activity(Rosenthal and Strange, 2003; Armington and Acs, 2002; Bosma and Schutjens, 2011).…”
mentioning
confidence: 99%
“…A plethora of previous studies demonstrated that the high level of FDI inflows brings economic growth and increase of production efficiency in developing economies through new technologies, knowledge, management skills, etc. (Antonescu, 2015;Davletshin, Kotenkova, & Efremov, 2015;Iwasaki & Suganuma, 2015;Duarte, Kedong, & Xuemei, 2017). Russia is attractive destination for FDI in terms of large domestic market, rich natural resources, and high human capital.…”
Section: Introductionmentioning
confidence: 99%