Export processing zones as catalysts

Johansson, Helena; Nilsson, Lars

doi:10.1016/s0305-750x(97)00103-4

Cited by 147 publications

(108 citation statements)

References 21 publications

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“…The available analyses refer to operations of preferred areas, including SEZs, on selected markets, amongst others, in terms of support for entrepreneurship, concentration of economic activity within clusters (Zeng, 2011), economic growth (Litwack & Qian, 1998;Schrank, 2001;Zeng, 2010), acceleration of transformation processes (Ahrens & Meyer-Baudeck, 1995;Ge, 1999;Zeng, 2011), promotion of industrialisation in developing countries (Chaudhuri & Yabuuchi, 2010), inflow of investments (Cheng & Kwan, 2000), increase of employment (Curtis, Hill & Lin, 2006;Madani, 1999), development of export-oriented activities (Farole, 2011;Farole & Akinci, 2011;Johansson & Nilsson, 1997;Nazarczuk & Umiński, 2018b), support for economic openness (Baissac, 2011;Ge, 1999) and impact on local economies (Nazarczuk, 2013;Nazarczuk & Umiński, 2018a;Wang, 2013).…”

Section: Introductionmentioning

confidence: 99%

Do operations in SEZs improve a firmâ€™s productivity? Evidence from Poland

Nazarczuk

2017

PROSOC

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Special economic zones (SEZs) play a significant role in global, national and regional trade flows. Given the insufficient number of empirical contributions regarding firm-level consequences of operation in SEZs, an analysis in which implications for firms' standings is undertaken. With the use of different estimation approaches, applied to a unique dataset comprising 155 SEZs firms and 155 non-SEZs firms (matched sample) obtained from various sources, the author investigates if SEZs firms obtain a competitive advantage through higher productivity compared to non-SEZs firms. The results prove that SEZ firms differ in this regard. However, the sign of its contribution is conditioned by the type of productivity analysed.

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Section: Introductionmentioning

confidence: 99%

Do operations in SEZs improve a firmâ€™s productivity? Evidence from Poland

Nazarczuk

2017

PROSOC

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“…The Equation (2) has been estimated in three different ways 5 -1) pooled model (keeping α constant i.e. ignoring the state specific or temporal effects); 2) fixed effects; and 3) random effects.…”

Section: Resultsmentioning

confidence: 99%

“…As the states are heterogeneous, random effects and fixed effects models control for the state specific effects, and the suitability of these models is tested using the Hausman specification test. We tested for the 5 All the analysis is carried out in STATA 13.1. …”

Section: Resultsmentioning

confidence: 99%

Have the Special Economic Zones Succeeded in Attracting FDI?—Analysis for India

Chakraborty¹,

Gundimeda²,

Kathuria³

2017

TEL

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The introduction of Special Economic Zones (SEZs) in India has injected hope for augmented economic growth in recent future. The motive behind establishment of SEZs was mainly to fuel rapid economic growth, provide world class infrastructure and employment, promote exports, increase foreign exchange reserves and attract more Foreign Direct Investment (FDI). The main objective of the paper is to investigate whether the enactment of SEZ policies had any impact on inflow of FDI among Indian states. This is tested using panel data techniques on 16 groups of states over 14 years period from 2001 to 2014. The results indicate that enactment of SEZ policy (as well as operational SEZs) in a state has induced more FDI inflow. Based on the results, it can be concluded that the states, which want to benefit from FDI inflow, they need to enact the policies sooner.

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“…Nonetheless, the result basically accords with the reports of Table 3 and Table 4. 12 When we tried to put dummy variables such as R&D input, employees' education level and industrial clustering into the model in the process of regressing, these variables showed no significant relation to firm selection of conducting OBM or not. A great number of medium-size and small firms entered industrial clusters for the sake of clusters' highly-sophisticated division system, and they usually focus on a certain point of the value chain for their products, so their selection does not necessarily and closely related to the construction of independent brands in firms.…”

Section: Determinants Of Firm's Product Position In the Value Chainmentioning

confidence: 99%

Technology Capacity, Product Position and Firm’s Competitiveness: An Empirical Analysis

et al. 2010

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Abstract:Using firm-level data from a 2009 survey conducted in Suzhou City, Jiangsu Province, China, this paper examines impacts of technology capacity and value-chain position on firm's product competitiveness. Both technology capacity and product competitiveness are self-assessed relative to other firms and products in the same industry. The position of value-chain is measured relative to if a firm is an original brand manufacturer or not. Our empirical results show that competitiveness rises with firm's technology capacity and its position in the global value chain. This finding is consistent with the theoretical prediction. The paper also investigates determinants of technology capacity and value-chain position, including firm's size, R&D spending, location dummies, education level of technical and management personnel, wages of technical and management personnel, and enterprise ownership. Bootstrapping, Probit, and linear probability regression models are employed.

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Export processing zones as catalysts

Cited by 147 publications

References 21 publications

Do operations in SEZs improve a firmâ€™s productivity? Evidence from Poland

Do operations in SEZs improve a firmâ€™s productivity? Evidence from Poland

Have the Special Economic Zones Succeeded in Attracting FDI?—Analysis for India

Technology Capacity, Product Position and Firm’s Competitiveness: An Empirical Analysis

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