Economic Impacts of Reunifications in Germany and in Korea

2015 ◽  
Vol 14 (2) ◽  
pp. 183-213 ◽  
Author(s):  
Seung Mo Choi ◽  
Max St. Brown
Keyword(s):  
South Korea ◽  
Total Factor Productivity ◽  
Economic Impacts ◽  
West Germany ◽  
Income Growth ◽  
Factor Productivity ◽  
Persistent Effect ◽  
Tfp Growth ◽  
The North ◽  
Investment Rates

We measure the evolution of population, investment rates, and total factor productivity (TFP) for East Germany and West Germany around their 1990 reunification to create a model that allows us to consider the economic ramifications of a hypothetical reunification between South Korea and North Korea. The scenarios that we consider suggest that worker migration from the North, a decrease in investment, and a slowdown in TFP growth could exert a substantial negative and persistent effect on South Korea's economy although the North is predicted to benefit from more rapid income growth. We also summarize the economic and policy questions that our quantified model illuminates.

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.

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.

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 Procyclical Behavior of Total Factor Productivity in the United States, 1890–2004

2010 ◽  
Vol 70 (2) ◽  
pp. 326-350 ◽  
Author(s):  
Alexander J. Field
Keyword(s):  
United States ◽  
Total Factor Productivity ◽  
Productivity Growth ◽  
The United States ◽  
Real Business Cycle ◽  
Factor Productivity ◽  
Tfp Growth ◽  
Capital Services ◽  
Labor Hoarding ◽  
Statistical Artifact

Between 1890 and 2004 total factor productivity (TFP) growth in the United States has been strongly procyclical, while labor productivity growth has been mildly so. This article argues that these results are not simply a statistical artifact, as Mathew Shapiro and others have argued. Procyclicality resulted principally from demand shocks interacting with capital services which are relatively invariant over the cycle. This account contrasts with explanations emphasizing labor hoarding as well as those offered by the real business cycle (RBC) program, in which TFP shocks (deviations from trend) are themselves the cause of cycles.

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.

scholarly journals Trends in Productivity Growth of Indian Pharmaceutical Industry: A Growth Accounting Analysis

2021 ◽  
pp. 437-446
Author(s):  
Ariful Hoque ◽  
Subhrabaran Das
Keyword(s):  
Pharmaceutical Industry ◽  
Total Factor Productivity ◽  
Decomposition Analysis ◽  
Output Growth ◽  
Growth Accounting ◽  
Series Data ◽  
Factor Productivity ◽  
Entire Study ◽  
Tfp Growth ◽  
Study Results

The pharmaceutical industry of India is one of the most rapidly expanding research-based industries of Indian manufacturing. This paper attempts to examine the trends in partial and total factor productivity (TFP) growth of India’s pharmaceutical industry using industry-level time series data covering a period of 25 years from 1993-94 to 2017-18, which is further divided into pre-product and post-product patent periods. Three alternative indices of growth accounting approach viz., Translog, Solow, and Kendrick have been used to measure the growth of total factor productivity with four input production framework. The study results indicate significant increasing trends in capital intensity as well as labour, energy and material productivity and a significant declining trend in capital productivity over the entire study period. This study also finds a positive turnaround in the TFP growth of Indian’s pharmaceutical industry during the post-product patent era. The decomposition analysis confirms that output growth in the pharmaceutical industry is input-driven rather than productivity-driven as TFP growth contributes only 8.5 percent to the observed output growth. From the policy standpoint, this paper also suggests greater emphasis on resource efficiency by improving the quality of factor inputs, particularly capital, through increased R&D activities and adoption of cutting-edge technology.

scholarly journals What Is the Focus of Structural Reform in China?—Comparison of the Factor Misallocation Degree within the Manufacturing Industry with a Unified Model

2018 ◽  
Vol 10 (11) ◽  
pp. 4051 ◽  
Author(s):  
Laiqun Jin ◽  
Changwei Mo ◽  
Bochao Zhang ◽  
Bing Yu
Keyword(s):  
Growth Rate ◽  
Total Factor Productivity ◽  
Manufacturing Industry ◽  
Severity Index ◽  
Unified Model ◽  
Structural Reform ◽  
Industrial Enterprise ◽  
Factor Productivity ◽  
Tfp Growth ◽  
Production Factors

The misallocation of production factors, with structural misallocation as an important aspect, is a key instigator of low total factor productivity (TFP) growth rate in China, but one important question is which structural misallocation of what factor is more serious in China. Using China’s manufacturing industrial enterprise data from 1998 to 2013, we calculated and compared the factors misallocation degree among industries, ownerships and regions. The results indicated that, the misallocation among industries was most serious, which led to a TFP loss of 8.12% annually. The misallocation among ownerships ranked second, which led to a TFP loss of 5.49%. The least degree of the misallocation recorded among provinces led to TFP loss of 3.05%. By using the relative severity index, the rank is the same. As to the capital, the misallocation among ownerships was most serious, which led to TFP loss of 4.62%. But as to the labor, the misallocation among industries was most serious, which led to TFP loss of 4.58%. Moreover, the misallocation among ownerships alleviated rapidly from 1998 to 2007, while alleviated slower among industries and regions. However, from 2008 to 2013, all three types of structural misallocation have become worse, especially in labor. These conclusions are important to identify the focus of structural reform in China.

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