scholarly journals Effects of Higher Education Levels on Total Factor Productivity Growth

2019 ◽  
Vol 11 (6) ◽  
pp. 1790 ◽  
Author(s):  
Jie Liu ◽  
Chao Bi
Keyword(s):  
Higher Education ◽  
Total Factor Productivity ◽  
Doctoral Education ◽  
Spillover Effect ◽  
Chinese Government ◽  
Economic Sustainability ◽  
Factor Productivity ◽  
Negative Effects ◽  
Positive Effects ◽  
Tfp Growth

China is facing challenges to sustainable economic growth. Higher education of Chinese residents can affect total factor productivity (TFP) growth and hence has an influence on economic sustainability. However, currently, there is limited literature on the nexus between higher education and TFP in China. Therefore, this paper empirically analyzes the heterogeneous and spatial effect of higher education on the regional TFP growth using a dynamic spatial econometric model with provincial panel data from 2003 to 2016. The results indicate that different levels of higher education have significant effects on TFP growth and are mainly reflected in the spatial spillover effect. Bachelor and doctoral education (particularly doctoral education) demonstrated significant positive effects, whereas the technical school and master education had significant negative effects. When decomposing this effect into technical efficiency and technical progress to explore the mechanism of influences, the latter plays the major role. Therefore, the Chinese government can promote TFP growth and economic sustainability by expanding the scale of bachelor and doctoral education and improving the quality of technical and master education.

scholarly journals Does capital drain reduce total factor productivity growth in developing countries?

2020 ◽  
Vol 2020 (2) ◽  
pp. 53-75
Author(s):  
Halit Yanikkaya ◽  
Abdullah Altum
Keyword(s):  
Total Factor Productivity ◽  
Developing Nations ◽  
Factor Productivity ◽  
Outward Fdi ◽  
Negative Effects ◽  
Full Sample ◽  
Positive Effects ◽  
Tfp Growth ◽  
Business Environments ◽  
Developed Nations

This study investigates the effects of foreign direct investment (FDI) and royalties and licence fees (RLF) on total factor productivity (TFP) growth of about 90 countries for the period 2003-2011 for both inward and outward variables. The estimates for the full sample indicate that while inward FDI stocks have no significant impact, outward FDI stocks reduce TFP growth. While none of the RLF measures have any significant effects, imports and exports have significantly positive effects on TFP growth for the full sample. Outward FDI stocks and RLF payments are estimated to have negative effects on TFP growth for developing nations. Moreover, both RLF receipts and payments are found to have a positive effect on TFP growth in developed nations. To stimulate TFP growth further, developing nations should improve their domestic business environments and find ways to keep investments at home

Does foreign direct investment spillover total factor productivity growth? A study of Indian drugs and pharmaceutical industry

2017 ◽  
Vol 24 (7) ◽  
pp. 1937-1955 ◽  
Author(s):  
Nitin Arora ◽  
Preeti Lohani
Keyword(s):  
Foreign Direct Investment ◽  
Pharmaceutical Industry ◽  
Total Factor Productivity ◽  
Direct Investment ◽  
Spillover Effect ◽  
Foreign Firms ◽  
Factor Productivity ◽  
Content Type ◽  
Domestic Firms ◽  
Tfp Growth

Purpose Foreign firms have certain advantages which may spillover to domestic firms in the form of improvements in total factor productivity (TFP) growth. The purpose of this paper is to empirically observe the presence of TFP spillovers of foreign direct investment (FDI) to domestic firms through analyzing source of TFP growth in Indian drugs and pharmaceutical industry. Design/methodology/approach This paper examines the sources of TFP spillovers of FDI in Indian drugs and pharmaceutical industry over the period 1999 to 2014. The data of 304 firms has been used for estimation of the growth rates of TFP and its sources under stochastic frontier analyses based Malmquist productivity index framework. For frontier estimation, the Wang and Ho (2010) model has been executed using translog form of production function. Findings The results show that there exists significant TFP spillover effect from the presence of foreign equity in drugs and pharmaceutical industry of India. The results also show that the major source of TFP fluctuations in the said industry is managerial efficiency that has been significantly affected by FDI spillover variables. In sum, the phenomenon of significant Intra-industry (horizontal) efficiency led productivity spillovers of FDI found valid in case of Indian drugs and pharmaceutical industry. Research limitations/implications The number of foreign firms is very less to imitate the significant impact of foreign investment on TFP growth of Indian pharmaceutical industry at aggregated level; and the Wang and Ho (2010) model is failing to capture direct impact of FDI on technological change under Malmquist framework. Practical implications Since, there exists dominance of domestic firms in Indian drugs and pharmaceutical industry, the planners should follow the policy which not only attract FDI but also benefit domestic firms; for example, developing modern infrastructure and institution which will further help domestic firms to absorb spillovers provided by the Multinational Corporations and also accelerate the growth and development of the economy. Social implications In no case, the foreign firms should dominate the market share otherwise the efficiency spillover effect will be negative and the domestic firms will be destroyed under the self-centric approach of foreign firms protected by the recent patent laws. Originality/value The study is a unique attempt to discuss the production structure and sources of TFP spillovers of FDI in Indian drugs and pharmaceutical industry with such a wide coverage of 304 firms over a period of 16 years under Wang and Ho (2010) model’s framework. The existing studies on TFP spillovers are using either a small sample size of firms or based upon traditional techniques of measuring spillover effects.

scholarly journals Research on Total Factor Productivity and Influential Factors of the Regional Water–Energy–Food Nexus: A Case Study on Inner Mongolia, China

2019 ◽  
Vol 16 (17) ◽  
pp. 3051 ◽  
Author(s):  
Chen ◽  
Ding ◽  
Wang ◽  
Yu
Keyword(s):  
Total Factor Productivity ◽  
Inner Mongolia ◽  
Influential Factors ◽  
Government Support ◽  
Factor Productivity ◽  
Tobit Regression ◽  
Negative Effects ◽  
Lower Efficiency ◽  
Positive Effects ◽  
Regional Water

With the supply of water, energy and food facing severe challenges, there has been an increased recognition of the importance of studying the regional water–energy–food nexus. In this paper, Inner Mongolia, including 12 cities in China, was selected as a research case. A super-efficiency slack based measure (SBM) model that considered the undesirable outputs was adopted to calculate the regional total factor productivity (TFP) and the Malmquist–Luenberger index was used to investigate the change trend of the TFP from 2007 to 2016 based on understanding the water–energy–food nexus. Finally, influential factors of the TFP were explored by Tobit regression. The results show that the 12 Inner Mongolia cities are divided into higher, moderate and lower efficiency zones. The higher efficiency zone includes Ordos, Hohhot, Xing’an, and Tongliao, and the lower efficiency zone includes Chifeng, Xilin Gol, Baynnur, Wuhai and Alxa. There is a serious difference in TFP between Inner Mongolia cities. During the study period, the TFP of the water–energy–food nexus in Inner Mongolia cities shows a rising trend, which is mainly driven by the growth of technical progress change. However, the average ML values of the lower and moderate efficiency zones were inferior to the higher efficiency zone in six of the ten years, so the difference between Inner Mongolia cities is growing. According to the Tobit regression, the mechanization level and degree of opening up have positive effects on the TFP, while enterprise scale and the output of the third industry have negative effects on the TFP. Government support does not have any significant impact on the TFP. Finally, suggestions were put forward to improve the TFP of the water–energy–food nexus in Inner Mongolia cities.

Examining the Impact and Influencing Channels of Emission Trading Pilot Markets in China

2020 ◽  
Vol 11 (1) ◽  
pp. 136-136
Author(s):  
Qiong Wu ◽  
Kanittha Tambunlertchai ◽  
Pongsa Pornchaiwiseskul
Keyword(s):  
Total Factor Productivity ◽  
Co2 Emission ◽  
Carbon Emission ◽  
Emission Trading ◽  
Chinese Government ◽  
Synergy Effect ◽  
Factor Productivity ◽  
Plan Period ◽  
Carbon Emission Trading ◽  
The Impact

The global warming has become a serious issue in the world since the 1980s. The targets for the first commitment period of the Kyoto Protocol cover emissions of the six main greenhouse gasses (GHGs). China is the world's largest CO2 emitter and coal consumer and was responsible for 27.3 percent of the global total CO2 emission and 50.6 percent of the global total coal consumption in 2016 (BP, 2017). As China plays an important role in the global climate change, China has set goals to improve its environmental efficiency and performance. In 2011, the Chinese government for the first time announced an intent to establish carbon emission trading market in China. Eight regional emission trading schemes have been operating since 2013 (seven pilot markets during the 12th Five Year Plan period and one pilot market during the 13th Five Year Plan period) including provinces of Guangdong, Hubei, and Fujian, and cities of Beijing, Tianjin, Shanghai, Shenzhen, and Chongqing. The goal of these regional emission trading pilot markets is to help the government establish an efficient carbon emission trading scheme at national level. Some researchers have been focused on examining the impact of emission trading schemes in China using CGE model by constructing different scenarios and ex-ante analysis using data prior to emission trading pilot markets implementation. While this paper tries to conduct an ex-post analysis with data of 2005-2017 to evaluate the impact of emission trading pilot markets in China at provincial level using difference-in-difference (DID) model. By including both CO2 and SO2 as undesirable outputs to calculate Malmquist-Luenberger (ML) Index to measure green total factor productivity, this paper plans to evaluate the impact of carbon emission trading pilot markets in China via emission reduction, regional green development, synergy effect and influencing channels. This paper tries to answer the following research questions: (1) Do emission trading pilot markets reduce CO2 emission and increase regional green total factor productivity? (2) Is there any synergy effect from emission trading pilot markets? (3) What are the influencing channels of emission trading pilot markets? Keywords: Emission trading, CO2 emissions, Different-in-difference

scholarly journals Oil Price Uncertainty, Globalization, and Total Factor Productivity: Evidence from the European Union

Energies ◽  
2021 ◽  
Vol 14 (12) ◽  
pp. 3429
Author(s):  
Svetlana Balashova ◽  
Apostolos Serletis
Keyword(s):  
European Union ◽  
Total Factor Productivity ◽  
New Technologies ◽  
Innovation System ◽  
Price Volatility ◽  
Oil Price ◽  
Price Uncertainty ◽  
The European Union ◽  
Factor Productivity ◽  
Tfp Growth

This paper uncovers linkages between oil price uncertainty, total factor productivity (TFP) growth, and critical indicators of knowledge production and spillovers. It contributes to the literature by investigating the effects of oil price volatility on TFP growth, controlling for two different channels for TFP growth; benefits from the quality of the national innovation system and from adopting new technologies. We use an unbalanced panel for 28 European Union countries for the period from 1990 to 2018. We find that oil price uncertainty has a negative and statistically significant effect on TFP growth, even after we control for technological advancements and the effects of globalization. We also find that the scale of research and innovation and international trade are positive contributors to TFP growth.

Total Factor Productivity Growth in East Asia: Implications for the Future

2002 ◽  
Vol 1 (2) ◽  
pp. 50-70 ◽  
Author(s):  
Jong-il Kim
Keyword(s):  
East Asia ◽  
Total Factor Productivity ◽  
East Asian ◽  
Developed Countries ◽  
Factor Productivity ◽  
Tfp Growth ◽  
The Future ◽  
History Of ◽  
The Developed Countries ◽  
Future Growth

The total factor productivity (TFP) growth controversy and the recent economic crisis raise many questions about the future growth of East Asia. Our analysis of historical experiences shows that low TFP growth in the East Asian newly industrialized economies (NIEs) is a natural pattern of growth at the initial phase of industrialization. Empirical evidence shows that East Asian NIEs in recent decades have been proceeding toward an efficiency-based growth as developed countries did some time ago. The history of Latin America, however, indicates that the reform of old-fashioned institutions is needed if East Asia is to follow the path of the developed countries.

Agricultural Growth Accounting and Total Factor Productivity in Jordan

2020 ◽  
pp. 1709-1723
Author(s):  
Samia Nadeem Akroush ◽  
Boubaker Dhehibi ◽  
Aden Aw-Hassan
Keyword(s):  
Total Factor Productivity ◽  
Productivity Growth ◽  
Agricultural Research ◽  
Agricultural Productivity ◽  
Primary Source ◽  
Factor Productivity ◽  
Factors Affecting ◽  
Tfp Growth ◽  
Food And Agriculture ◽  
Food And Agriculture Organization

This article develops new estimates of historical agricultural productivity growth in Jordan. It investigates how public policies such as agricultural research, investment in irrigation capital, and water pricing have contributed to agricultural productivity growth. The Food and Agriculture Organization (FAO) annual time series from 1961 to 2011 of all crops and livestock productions are the primary source for agricultural outputs and inputs used to construct the Törnqvist Index for the case of Jordan. The log-linear form of regression equation was used to examine the relationship between Total Factor Productivity (TFP) growth and different factors affecting TFP growth. The results showed that human capital has positive and direct significant impact on TFP implying that people with longer life expectancy has a significant impact on TFP growth. This article concludes that despite some recent improvement, agricultural productivity growth in Jordan continues to lag behind just about every other region of the world.

scholarly journals The Decline of British Manufacturing, 1973–2012: The Role of Total Factor Productivity

2019 ◽  
Vol 247 ◽  
pp. R19-R31 ◽  
Author(s):  
Richard Harris ◽  
John Moffat
Keyword(s):  
Total Factor Productivity ◽  
Productivity Growth ◽  
Intangible Assets ◽  
Factor Productivity ◽  
Tfp Growth ◽  
Manufacturing Productivity ◽  
Plant Level

This paper uses plant-level estimates of total factor productivity covering 40 years to examine what role, if any, productivity has played in the decline of output share and employment in British manufacturing. The results show that TFP growth in British manufacturing was negative between 1973 and 1982, marginally positive between 1982 and 1994 and strongly positive between 1994 and 2012. Poor TFP performance therefore does not appear to be the main cause of the decline of UK manufacturing. Productivity growth decompositions show that, in the latter period, the largest contributions to TFP growth come from foreign-owned plants, industries that are heavily involved in trade, and industries with high levels of intangible assets.

scholarly journals The Relationship between Environmental Regulation and Green Total Factor Productivity in China: An Empirical Study Based on the Panel Data of 177 Cities

2020 ◽  
Vol 17 (15) ◽  
pp. 5287 ◽  
Author(s):  
Mingliang Zhao ◽  
Fangyi Liu ◽  
Wei Sun ◽  
Xin Tao
Keyword(s):  
Economic Development ◽  
Panel Data ◽  
Environmental Regulation ◽  
Total Factor Productivity ◽  
Inflection Point ◽  
Factor Productivity ◽  
Positive Effects ◽  
Development Level ◽  
The Mean ◽  
The Relationship

Promoting the coordinated development of industrialization and the environment is a goal pursued by all of the countries of the world. Strengthening environmental regulation (ER) and improving green total factor productivity (GTFP) are important means to achieving this goal. However, the relationship between ER and GTFP has been debated in the academic circles, which reflects the complexity of this issue. This paper empirically tested the relationship between ER and GTFP in China by using panel data and a systematic Gaussian Mixed Model (GMM) of 177 cities at the prefecture level. The research shows that the relationship between ER and GTFP is complex, which is reflected in the differences and nonlinearity between cities with different monitoring levels and different economic development levels. (1) The relationship between ER and GTFP is linear and non-linear in different urban groups. A positive linear relationship was found in the urban group with high economic development level, while a U-shaped nonlinear relationship was found in other urban groups. (2) There are differences in the inflection point value and the variable mean of ER in different urban groups, which have different promoting effects on GTFP. In key monitoring cities and low economic development level cities, the mean value of ER had not passed the inflection point, and ER was negatively correlated with GTFP. The mean values of ER variables in the whole sample, the non-key monitoring and the middle economic development level cities had all passed the inflection point, which gradually promoted the improvement of GTFP. (3) Among the control variables of the different city groups, science and technology input and the financial development level mainly had positive effects on GTFP, while foreign direct investment (FDI) and fixed asset investment variables mainly had negative effects.

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