The impact of foreign direct investment on total factor productivity growth

2009 ◽  
Vol 35 (3) ◽  
pp. 297-311 ◽  
Author(s):  
Sailesh Tanna
2020 ◽  
Vol 14 (2) ◽  
pp. 164-190
Author(s):  
Mohammed Abdullah ◽  
Murshed Chowdhury

This study examines the impact of foreign direct investment (FDI) on the total factor productivity (TFP) of host countries. Extensions of the new growth theory provide a framework in which FDI increases the growth rate of a host country through technology transfer, diffusion and spillover effects. We construct four new series of TFP using the framework of neoclassical growth models. We also address the issue of endogeneity using the generalized method of moments. Our estimations using a balanced panel of 77 low- and middle-income countries suggest that FDI could not promote TFP in the countries studied. Our sensitivity analysis, in terms of alternative estimation methods, data, models and time period, reinforces the findings. We observe that the lack of absorptive capacity is likely to be an important reason for not having a direct relationship between FDI and TFP. JEL Classification: F21, F23, O33, F43, C33


2021 ◽  
Vol 251 ◽  
pp. 03051
Author(s):  
Fan Jiang ◽  
Yiqian Tan

This paper empirically investigates the impact of the impact of “Belt & Road” initiative on total factor productivity (TFP) in provinces along the route. The DEA-Malmquist method is used to calculate TFP. Utilizing a quasi-natural experimental design, this paper finds that the “Belt & Road” Initiative has a significant positive effect on TFP in provinces along the route. The influencing mechanism is found to be increased foreign direct investment (FDI). Based on this, the paper suggests that China should further open up. Meanwhile, provinces along the route should improve infrastructure and attract more FDI. The governments should constantly enhance technological innovation.


Economies ◽  
2018 ◽  
Vol 6 (3) ◽  
pp. 44 ◽  
Author(s):  
Songping Zhu ◽  
Azhong Ye

Inclusive green growth is a sustainable development mode in pursuit of economic growth, social equity, and environmental protection. At present, a large number of articles have discussed the impact of foreign direct investment (FDI) on economic growth, green growth, and inclusive growth. However, the research about inclusive green growth is mainly descriptive. This paper constructs China’s inclusive green growth index and analyzes the impact of FDI on inclusive green growth in China. Specifically, by constructing a super efficiency slacks-based measure model (which has two undesirable outputs: income disparity and environmental pollution) to calculate the Inclusive green growth index, this paper compares and analyses the differences and regional characteristics of China’s total factor productivity, inclusive total factor productivity, green total factor productivity, and inclusive green total factor productivity. We find that total factor productivity is decreasing after considering undesirable output, and the traditional total factor productivity is higher than the inclusive green total factor productivity by 0.112; at the regional level, the trend of the total factor productivity is gradually decreasing from east to west, which indicates that there are regional differences in inclusive green growth of China, and there is room for improvement. Meanwhile, we construct a panel vector autoregressive model (PVAR) and use generalized impulse response function and variance decomposition to analyse the influence of FDI on China’s inclusive green total factor productivity. The results show that FDI is beneficial to the promotion of inclusive green total factor productivity in China, and environmental pollution in the FDI process is an important factor hindering the inclusive green total factor productivity.


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