Origin Effects, Spatial Dynamics and Redistribution of<scp>FDI I</scp>n<scp>G</scp>uangdong,<scp>C</scp>hina

Xu, Zhihua; Yeh, Ago

doi:10.1111/tesg.12025

Cited by 9 publications

(5 citation statements)

References 51 publications

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“…However, with the shrinking demands of global markets and rising production cost in coastal regions, footloose FIEs and export-oriented manufacturers have relocated their business operations from the coastal regions to inland China [21,23]. In addition, service FDI has been increasingly agglomerated in the metropolis, which is reinforcing the dispersion of labor-intensive and low-tech manufacturing FIEs [56]. First, economic globalization and open door policies have enabled China to be increasingly integrated into the globalized economy, which has changed China's industrial location and performance primarily through the effectiveness of foreign investment and trade [53,54].…”

Section: Conceptual Frameworkmentioning

confidence: 99%

Section: Conceptual Frameworkmentioning

confidence: 99%

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Economic Transition and Changing Location of Manufacturing Industry in China: A Study of the Yangtze River Delta

Wei

et al. 2018

Sustainability

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Industrial restructuring is widely considered an important force in regional economic growth and sustainable development. With increased globalization and economic transition, a dramatic industrial restructuring has been taking place in China. Applying geographically weighted shift-share model (GW-SSM) and geographically and temporally weighted regression model (GTWR), we analyze (re)location dynamics and determinants of the manufacturing industry in the Yangtze River Delta (YRD) from 1999 to 2013, with particular attention to the implications of economic transition and institutional restructuring. We find that high-tech and capital-intensive manufacturing industries agglomerated in coastal cities, while labor-intensive and resource-based sectors have become spatially more dispersed to peripheral areas. We also find that the development of service and high-tech industries, rising labor costs, and more strict environmental regulations have facilitated the geographic dispersion of labor- and pollution-intensive industries. Moreover, regions with advantages in intermediate goods, preferential policies, and urbanization economies are attractive to capital- and technology-intensive manufacturing industries. Our research suggests that development policies should be tailored to specific regions to promote local production and innovative networks and make manufacturing industries more competitive.

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Section: Conceptual Frameworkmentioning

confidence: 99%

Section: Conceptual Frameworkmentioning

confidence: 99%

Economic Transition and Changing Location of Manufacturing Industry in China: A Study of the Yangtze River Delta

Wei

et al. 2018

Sustainability

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show abstract

“…In the case of Taiwan-Chain, the focus was on the smaller and medium-sized enterprises as well as the domestic private sector (Weiss, 2011). While, in the case of China, rich non-resident Chinese (Xu and Yeh, 2013) and foreign investors (Weiss, 2011) have played important roles. One of the gamechangers in the path of fabrication progress is the establishment of special economic zones (SEZs).…”

Section: Manufacturing Development Theoretical Literaturementioning

confidence: 99%

Analysis of multi-country manufacturing value-added (MVA) using a dynamic panel model

Alemnew¹

2022

J. Econ. Int. Finance

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Industrialization is required to increase an economy's competitiveness and living standards, as well as to catch up to more developed economies; while low and lower-middle-income countries' average performance over the last five decades has been disappointing at 6.7 and 17.4%, respectively. Fabrication exports account for 37.1% of total low-middle-income average exports and 9.6% of low income. As a result, this article's main objective is to discover why manufacturing has historically played such a minor role in these economies. It has also looked into the influencing factors. Literature review was conducted. The study used national and multi-country panel data. There were multiple comparative descriptive analyses using tables and figures. The study used one-step system generalized-method of moments (GMM) model for longitudinal panel data. The study identified key factors limiting MVA share. MVA and the economic complexity index were positive and growing trends. Income growth correlates with manufacturing growth. The MVA share of low-income countries has fallen. Some factors affecting MVA share performance in low-income countries include credit availability and net foreign direct investment (FDI) performance. Regulatory quality, political stability and other factors directly impact MVA share. Export and GDP per capita have a positive significant impact on MVA in both the long and short run. While private credit has a negative impact. The research findings have policy implications, including increased manufacturing exports and higher GDP per capita income.

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“…The paper goes further to infer that GDPPC and GDP growth also have a negative relationship with inward FDI. Except for Dauti (2009), all papers found incorporating these variables in their work such as Xu and Yeh (2013), Kyrkilis & Pantelidis (2003), Botric & Škuflic (2006), Erdal & Tatoglu (2002), Boateng, & Bampoe (2015), and many others, report positive relationships for GDP, GDPPC and GDP growth. The explanation that can be given to this negative relationship found for GDP in this paper can be drawn from the argument of Dauti (2009).…”

Section: Interpretation Of Regression Estimatesmentioning

confidence: 99%

Inward Foreign Direct Investments (FDI) and Location Choice Determinants: Empirical Evidence from India

Onyekwere¹,

Otuyelu²

2021

daengku j. hum. soc. sci. innov.

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The main purpose of this research was to determine the nature of the relationship between inward FDI flow into India and selected sets of FDI location determinants. The paper also investigates the exact impact of the individual FDI location determinants on inward FDI flow into India. Following these objectives, eight variables relating to the inward FDI locational advantage theory were selected, with data running from 1965-2018. The investigated location determinants for inward FDI include tax, market size (GDP), a measure of market potential (GDPPC), human capital (education), wage cost, Ease of Doing Business (DB), and measure of economic progress (GDP growth). The method of data analysis involved the application of OLS regression, taking note of the necessary assumptions for the use of OLS. The results of the study indicate that GDP growth is the only significant FDI location determinant in India, with a positive impact of about 0.57. This implies that the Indian government should prioritise policies that seek to boost GDP

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Origin Effects, Spatial Dynamics and Redistribution ofFDI InGuangdong,China

Cited by 9 publications

References 51 publications

Economic Transition and Changing Location of Manufacturing Industry in China: A Study of the Yangtze River Delta

Economic Transition and Changing Location of Manufacturing Industry in China: A Study of the Yangtze River Delta

Analysis of multi-country manufacturing value-added (MVA) using a dynamic panel model

Inward Foreign Direct Investments (FDI) and Location Choice Determinants: Empirical Evidence from India

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