scholarly journals The effect of reverse knowledge spillovers on the total factor productivity of emerging markets

2020 ◽  
pp. 21-42
Author(s):  
Andrei Panibratov ◽  
Megan Fitzpatrick
Keyword(s):  
Emerging Markets ◽  
Total Factor Productivity ◽  
Knowledge Spillovers ◽  
Developing Economies ◽  
Spillover Effects ◽  
Factor Productivity ◽  
Developed Markets ◽  
Tfp Growth ◽  
Negative Effect ◽  
The Impact

The aim of this paper is to shed the light on the phenomenon and mechanisms of knowledge spillovers from developed economies to emerging markets through the lens of productivity effects. We hypothesize on the impact of foreign R&D stocks on the total factor productivity growth in emerging markets and on the moderating effect of R&D stocks on the knowledge spillover effects. We use panel data from 38 countries for the period of 2001–2014. Our findings suggest that firms investing in developed markets are able to improve TFP growth via reverse spillovers. Two important findings having managerial value are that, on average, the effect of OFDI on productivity becomes apparent three years after the initial investment. The study also indicates that investment efforts have a negative effect on TFP growth in the year of investment. This research contributes to the ex- isting literature by analyzing bilateral FDI stocks between emerging and developed markets and the impact of both traditional and reverse spillovers on TFP growth in developing economies.

scholarly journals Exports, Misallocation, and Total Factor Productivity of Furniture Enterprises

2019 ◽  
Vol 11 (18) ◽  
pp. 4892
Author(s):  
Chang Xu ◽  
Jianbing Guo ◽  
Baodong Cheng ◽  
Yu Liu
Keyword(s):  
Total Factor Productivity ◽  
Value Chain ◽  
Fixed Effects ◽  
Negative Impact ◽  
Market Competition ◽  
Fixed Effects Model ◽  
Factor Productivity ◽  
Labor Costs ◽  
Negative Effect ◽  
The Impact

With the increase in labor costs in China and the tremendous changes in the international trade environment, upgrading the total factor productivity of Chinese furniture export enterprises faces a great challenge. Lots of studies have explored the interaction of exports or misallocation on the total factor productivity (TFP) of furniture enterprises, however, there is little knowledge on the impact and interaction of both exports and misallocation on the TFP. Based on panel data of Chinese furniture enterprises, this paper measures the TFP and the distortion of labor and capital resources in Chinese furniture enterprises. A two-way fixed-effects model is used to analyze the impact of exports and misallocation on the TFP of Chinese furniture enterprises. The paper reveals several important findings. First, the TFP of Chinese furniture export enterprises is lower than that of non-export enterprises, this phenomenon is called the “export–productivity paradox”. Chinese furniture export enterprises are processing trade-oriented and labor-intensive enterprises at the low end of the value chain, exports have a negative effect on improving the TFP of furniture enterprises in the short term. Second, the distortion of labor and capital resources in Chinese furniture enterprises promotes improvements to the TFP of furniture enterprises rather than reducing the TFP of furniture enterprises. Last but not the least, we find that misallocation has a positive moderating effect on exports and can weaken the negative impact of exports on TFP by the “forced mechanism”, which is that the higher the distortion of the misallocation, the higher the cost of acquiring capital and labor, and enterprises are forced to enhance their productivity when facing market competition, thus promoting improvements to the TFP of furniture enterprises.

scholarly journals BIASED TECHNICAL CHANGE, INTERMEDIATE GOODS, AND TOTAL FACTOR PRODUCTIVITY

2011 ◽  
Vol 16 (2) ◽  
pp. 184-203 ◽  
Author(s):  
Alessio Moro
Keyword(s):  
Total Factor Productivity ◽  
Production Function ◽  
Technical Change ◽  
Value Added ◽  
Intermediate Goods ◽  
Factor Productivity ◽  
Aggregate Production ◽  
Tfp Growth ◽  
Aggregate Production Function ◽  
The Impact

In this paper I show that the intensity at which intermediate goods are used in the production process affects aggregate total factor productivity (TFP). To do this, I construct an input–output model economy in which firms produce gross output by means of a production function in capital, labor, and intermediate goods. This production function is subject, together with the standard neutral technical change, to intermediates-biased technical change. Positive (negative) intermediates-biased technical change implies a decline (increase) in the elasticity of gross output with respect to intermediate goods. In equilibrium, this elasticity appears as an explicit part of TFP in the value added aggregate production function. In particular, when the elasticity of gross output with respect to intermediates increases, aggregate TFP declines. I use the model to quantify the impact of intermediates-biased technical change for measured TFP growth in Italy. The exercise shows that intermediates-biased technical change can account for the productivity slowdown observed in Italy from 1994 to 2004.

Research Insights: Does R&D Activity Stimulated by Chile’s FONDEF and FONTEC Programs Lead to Knowlege Spillovers?

2020 ◽  
Author(s):  
Gustavo Crespi ◽  
Lucas Figal Garone ◽  
Alessandro Maffioli ◽  
Ernesto H. Stein
Keyword(s):  
Total Factor Productivity ◽  
Program Design ◽  
Knowledge Spillovers ◽  
Spillover Effects ◽  
Research Centers ◽  
Factor Productivity ◽  
Large Share ◽  
Grant Programs ◽  
Positive Knowledge ◽  
Positive Spillovers

Chile's FONDEF and FONTEC R&D grant programs both boost the productivity of direct beneficiaries, increasing total factor productivity (TFP) by around 4.2 percent. However, spillover effects are contingent on program design. Only FONDEF funded projects (requiring collaboration between firms and research centers) generate positive spillovers. FONTEC projects, which fund R&D within the firm, do not. Spillover effects are nonlinear according to the share of firms within a sectorregion receiving subsidies. Positive knowledge spillovers dominate when the share of treated firms is small. However, if the program supports a large share of a firms rivals, spillovers decline as a result of a business-stealing effect.

scholarly journals Input Structure Effect of Total Factor Productivity Growth of Animal Husbandry

2021 ◽  
Vol 11 (4) ◽  
Author(s):  
LI Xiu-shuang ◽  
ZHAO Liang ◽  
YU Kang
Keyword(s):  
Total Factor Productivity ◽  
Productivity Growth ◽  
Animal Husbandry ◽  
Structure Effect ◽  
Factor Productivity ◽  
Plateau Region ◽  
Tfp Growth ◽  
Input Structure ◽  
Factor Decomposition ◽  
The Impact

This paper uses the input-output panel data of China's animal husbandry industry from 1997 to 2017, based on the total factor decomposition framework of total factor productivity (TFP), and uses the Hicks-Moorsteen index completely decompose the growth of animal husbandry TFP. By measuring the effect of mixed efficiency on the development of TFP in animal husbandry and then evaluating the input structure effect of TFP growth in animal husbandry. The results show that the impact of input structure on the TFP growth of animal husbandry has also changed from negative to positive. From 1997 to 2007, the input structure of the Huanghuaihai region alone contributed to the growth of TFP in animal husbandry, and the rest of the region was the opposite. From 2008 to 2017, the input structure of the Mengxin Plateau region hindered the growth of TFP in animal husbandry, while the rest of the region was the opposite.

scholarly journals Total Factor Productivity Shock and Economic Growth in Selected Asean+3 Countries: A New Evidence Using a Panel Var

2021 ◽  
Vol 21 (3) ◽  
pp. 1366-1383
Author(s):  
Noorazeela Zainol Abidin ◽  
Ishak Yussof ◽  
Zulkefly Abdul Karim
Keyword(s):  
Economic Growth ◽  
Total Factor Productivity ◽  
Positive Impact ◽  
Production Costs ◽  
Panel Var ◽  
Factor Productivity ◽  
Data Set ◽  
Tfp Growth ◽  
The Impact ◽  
Panel Vector Autoregression

A comparison between countries shows that there is a difference in terms of economic growth achievement across nations. This difference is due to the contribution of capital growth, labor, and total factor productivity (TFP). Although the use of capital and labor plays a vital role in the production, the contribution of TFP growth is also indispensable, as it saves production costs. Nevertheless, in 1995-2000, most countries have experienced a negative growth of TFP in which can affect its contribution to economic growth. Therefore, the focal point of this study is to analyze the impact of TFP growth shock on economic growth in selected ASEAN+3 countries (i.e., Malaysia, Singapore, Thailand, Indonesia, Philippines, Cambodia, Vietnam, China, South Korea, and Japan), using the data set from 1981 to 2014. The study employed the panel vector autoregression (PVAR) method in analyzing the propagation of the shocks through impulse response function and variance decomposition. The main findings revealed that TFP growth shocks have a positive impact on economic growth. Besides, the results also showed that over the next ten years, the proportion of human capital variation would be more dominant in contributing to the economic growth for the selected ASEAN+3 countries. As the surge in TFP growth had a positive impact on economic growth, this finding indicated that each country needs to allocate more expenditure in the Research and Development (R&D) activities.

Foreign Direct Investment and Total Factor Productivity: Any Nexus?

2020 ◽  
Vol 14 (2) ◽  
pp. 164-190
Author(s):  
Mohammed Abdullah ◽  
Murshed Chowdhury
Keyword(s):  
Foreign Direct Investment ◽  
Total Factor Productivity ◽  
Direct Investment ◽  
Growth Models ◽  
Generalized Method Of Moments ◽  
Spillover Effects ◽  
Jel Classification ◽  
Estimation Methods ◽  
Factor Productivity ◽  
The Impact

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

Total Factor Productivity and Convergence of Port Logistics with Tianjin Port

2014 ◽  
Vol 998-999 ◽  
pp. 1653-1656
Author(s):  
Li Ping Wang ◽  
Meng Meng Yin ◽  
Bi Xi Dong
Keyword(s):  
Total Factor Productivity ◽  
Structural Changes ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Factor Productivity ◽  
Logistics Industry ◽  
Tfp Growth ◽  
Port Logistics ◽  
The Impact ◽  
Productivity And Competitiveness

Port logistics productivity reflects the productivity and competitiveness of a country or region port logistics industry. The research took Malmquist Productivity Index as a method, and explored the reasons of Tianjin Port Logistics TFP changes by analyzing the TFP growth trends and its structural changes during 2002 to 2011. The results showed that the overall productivity is growing, especially in the period 2009-2010 that is increased by 27.4%. However, changes of productivity had some volatility, primarily due to the impact of technological change.

scholarly journals The Impact of Foreign Direct Investment Spillover Effects on Total Factor Productivity in Sri Lanka

2020 ◽  
pp. 37-49
Author(s):  
Kalaichevi Ravinthirakumaran ◽  
Tarlok Singh ◽  
Eliyathamby Selvanathan ◽  
Saroja Selvanathan
Keyword(s):  
Human Capital ◽  
International Trade ◽  
Sri Lanka ◽  
Research And Development ◽  
Total Factor Productivity ◽  
Spillover Effects ◽  
Annual Data ◽  
Factor Productivity ◽  
Positive Effects ◽  
The Impact

This paper examines whether FDI generates productivity spillovers in Sri Lanka, using the annual data over the period from 1978 to 2015. The autoregressive distributed lag model has been estimated to investigate the effects of FDI, research and development, human capital, international trade, technological gap, rate of inflation, population growth and civil war on total factor productivity (TFP). The results reveal that FDI positively influences TFP. The results also confirm that research and development, human capital and international trade have positive effects. The findings suggest that Sri Lanka needs to increase investment in human capital and in research and development and needs to introduce policies to attract FDI inflows.

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