Factor Determinants of Total Factor Productivity Growth for the Japanese Manufacturing Industry

Kim, Sang-Ho

doi:10.1111/coep.12152

Cited by 13 publications

(14 citation statements)

References 27 publications

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“…The positive effect of import is in line with research conducted by Negara (2016), which shows that increasing import in terms of raw materials will provide better access to foreign knowledge and technology for local industries. The positive effect of PMW is in line with research conducted by Gehringer et al (2015) and Kim (2015), which shows that an increase in PMW will have a positive effect on improving the quality of the labor force so that it may support an increase in output. Thus, an increase in LCR, total production, domestic investment, import, and PMW may…”

Section: Effect Of Local Content Requirement and Other Factors On The Manufacturing Industry Productivity Growthsupporting

confidence: 83%

Productivity Growth and Local Content Requirement of the Manufacturing Industry in Banten Province

Yusuf¹,

Firdaus

Asmara

2021

JESP

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Productivity growth needs to be optimized not only to produce quality products, increase exports, and reduce dependence on imports but also to support the performance of the manufacturing sector. This study aims to determine the manufacturing industry map in Banten Province, measure manufacturing industry productivity growth, and analyze the effect of Local Content Requirement (LCR) on manufacturing industry productivity growth from 2005 to 2017 by employing the use of K-Means cluster and panel data regression analysis. For this purpose, Total Factor Productivity (TFP) is the indicator used to measure productivity growth. The LCR is known as the percentage of local raw and auxiliary materials used in the production process. According to K-Means cluster analysis results, industrial companies are grouped into three clusters with different characteristics. The result of panel data regression analysis shows that the TFP of all manufacturing industry sub-sectors has increased and was influenced by LCR, total production, domestic investment, import, and provincial minimum wage. As a result, the government should integrate the LCR and other policies, such as the Indonesian National Standard, to increase productivity growth.

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Section: Effect Of Local Content Requirement and Other Factors On The Manufacturing Industry Productivity Growthsupporting

confidence: 83%

Productivity Growth and Local Content Requirement of the Manufacturing Industry in Banten Province

Yusuf¹,

Firdaus

Asmara

2021

JESP

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“…The critical question then is what is behind the slow growth that tears growth of R&D and TFP down. It is beyond the scope of this paper to give a full explanation but some of the relevant reasons may be the following: Branstetter and Nakamura (2003) defend stagnant human capital supply as a cause of stagnant R&D employment for PhD-level engineers, and Arora et al (2013) for IT software and Kim (2016) for durable manufactured goods. Arora et al (2013) argue that Japanese immigration practices are restrictive, offshoring is not used much, and domestic graduates are scarce.…”

Section: Results For Permanent Private and Public Randd Policy Changesmentioning

confidence: 99%

Japan’s Productivity and GDP Growth: The Role of Private, Public and Foreign R&D 1967–2017

Ziesemer

2020

Economies

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We analyze the dynamic interaction of Japan’s total factor productivity, gross domestic product (GDP) domestic and foreign private and public research and development (R&D) in vector-error-correction models (VECMs) for Japan with data from 1963–2017. Extensive testing leads to favoring a model with five cointegrating equations for the six variables. Analysis of effects of permanent policy changes shows that (i) additional public R&D encourages private R&D and total factor productivity (TFP), and has higher internal rates of return than private R&D changes and therefore could speed up Japan’s growth; (ii) public R&D changes have a statistically significant positive permanent effect on foreign private R&D stocks and a transitional effect on foreign public R&D stocks; (iii) private R&D changes have a statistically significant positive permanent effect on foreign public R&D stocks and a transitional effect on foreign private R&D stocks; (iv) after a temporary GDP change, public R&D is counter-cyclical in the short and medium run and private R&D is pro-cyclical. Empirical results are related to the parameters of a VES (variable elasticity of substitution) function for TFP production.

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“…Several studies have theoretically and empirically identified factors that determine TFP (see Silveira et al 2021 for a review of literature of TFP determinants). Theory suggests that human capital (ibid; Arazmuradov et al 2014;Danska-Borsiak 2018;Akinlo and Adejumo 2016), trade (Bhattacharya et al 2021;Kim 2016), FDI/imports (Bhattacharya et al 2021;Kim 2016;Akinlo and Adejumo 2016;Harris and Moffat 2020), and R&D expenses (Danska-Borsiak 2018;Otsuka 2017;Kim 2016) are the main determinants of TFP growth. However, it is recognized that the latter is the main driver of TFP growth (among others, Saleem et al 2019;Huang et al 2019;Shabbir and Yaqoob 2019;Sharif et al 2021;Pegkas et al 2020;Tsamadias et al 2019;Haider et al 2019;Griliches 1979Griliches , 1994Griffith et al 2004;Edquist and Henrekson 2006;Hall et al 2009;Eberhardt et al 2013;Donghyun et al 2014;Gehringeer et al 2015;Venturini 2015) because it facilitates the adoption and implementation of new technologies exogenously facilitating the domestic production of technological innovations.…”

Section: The Fie Approach To Measuring Tfp Changementioning

confidence: 99%

A New Method for Measuring Total Factor Productivity Growth Based on the Full Industry Equilibrium Approach: The Case of the Greek Economy

Tsounis

Steedman

2021

Economies

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A new method of identifying the sources of output growth and measuring total factor productivity (TFP) is proposed, with an application to data from the Greek economy. The price accounting approach, based on the full industry equilibrium (FIE) framework introduced by Opocher and Steedman, where technical progress not only increases outputs relative to inputs but also reduces output prices relative to input rewards, is used. The contributions of this paper are that, first, it amends the FIE TFP measurement approach to account for heterogeneous labor inputs, imported inputs, and indirect taxes, and applies the method to real-world data from the Greek economy; second, it provides a comparison of the results with those found by the use of the neoclassical approach to TFP measurement arguing that the FIE approach measures better sectoral TFP change, and third, it provides an estimate of the effects of sectoral research and development (R&D) expenditures and R&D diffusion from other sectors on TFP change for the Greek economy.

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Factor Determinants of Total Factor Productivity Growth for the Japanese Manufacturing Industry

Cited by 13 publications

References 27 publications

Productivity Growth and Local Content Requirement of the Manufacturing Industry in Banten Province

Productivity Growth and Local Content Requirement of the Manufacturing Industry in Banten Province

Japan’s Productivity and GDP Growth: The Role of Private, Public and Foreign R&D 1967–2017

A New Method for Measuring Total Factor Productivity Growth Based on the Full Industry Equilibrium Approach: The Case of the Greek Economy

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