Labor productivity measurement in Japanese agriculture, 1956–1990

Kuroda, Yoshimi

doi:10.1016/0169-5150(94)00032-w

Cited by 19 publications

(19 citation statements)

References 20 publications

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“…In the rural economy, work organisation is not explicitly taken into account even though the industrial world recognises that production organisation (taylorism, toyotism) is an essential factor of competitiveness (Greenan, 1994). In economy, the term 'work' immediately refers to a production factor, a count of the workers or the worked times to take account of productive choices, labour allocation or evolution of labour productivity (Kuroda, 1995;Fafchamps and Quisumbing, 1998).…”

Section: Livestock Farming Systems In the Research Field On Work Orgamentioning

confidence: 99%

Qualification and assessment of work organisation in livestock farms

Madélrieux¹,

Dedieu²

2008

Animal

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Farmers have to cope with both society and market pressures in their working practices, as well as with the enlargement of farms, off-farm opportunities and profound changes in the workforce. Expectations in terms of working duration and rhythms are increasingly expressed by farmers, meaning that working conditions and the efficiency of work organisation are critical issues nowadays. The bibliography shows that work organisation is mainly discussed by social scientists, but that livestock scientists make a significant contribution to the debate. Indeed, technical changes modify working calendars, priorities between tasks and interchangeability among workers; technical adaptations are levers to solving problems of work with equipment, buildings and the workforce. We present here French approaches to work organisation that take into account livestock management and its implications in work organisation. The 'Work Assessment' method represents the work organisation and evaluates work durations and time flexibility for farmers. The ATELAGE model describes and qualifies work organisation with its various regulations and time scales, integrating the other activities -economic or private -that farmers can carry on. Three principles underpin them: not all workers are interchangeable; tasks have different temporal characteristics (rhythms, postponement, etc.); and the year is a succession of work periods that differ in their daily form of organisation. We illustrate with concrete examples how these approaches contribute to helping and guiding farmers in their thoughts about change.

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Section: Livestock Farming Systems In the Research Field On Work Orgamentioning

confidence: 99%

Qualification and assessment of work organisation in livestock farms

Madélrieux¹,

Dedieu²

2008

Animal

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“…Based on previous studies (Kuroda 1989(Kuroda , 1995, economies of scale and R&D investments are strong candidates for causative factors that increase rice productivity. Also, urbanization is another candidate for a causative factor, if we consider the Von-Thunen's model that explains location of agricultural production areas with different yields.…”

Section: Empirical Modelmentioning

confidence: 99%

Technological spillover in Japanese rice productivity under long-term climate change: evidence from the spatial econometric model

Kunimitsu

Kudo

Iizumi

et al. 2015

Paddy Water Environ

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Rice productivity will be affected by climate conditions not only in own region but also in neighboring regions through technological spillover. Measuring such direct and indirect influence of future climate change is important for policy making. This study analyzes socioeconomic and climate factors in rice total factor productivity (TFP) and evaluates technological spillover effects by using the spatial econometric model. To consider geographical situation, we use hydrological model in addition to crop-yield and crop-quality models. Results show that spatial autoregressive tendencies were observed in rice TFP, even though the influences of climate factors were removed. Such spatial dependence brings about synergistic effects among neighboring prefectures in northern Japan and depression effects, like a spatial trap, from neighbors in southern Japan. Substantial impacts of climate change were as high as socio-economic factors but different in degrees by regions. Also, future climate change estimated by the global climate model enlarged fluctuation degree in rice TFP because accumulative or cancel out effects of temperature and precipitation occurred year by year. Therefore, technological development in rice production and provision of precise climate prediction to farmers are important in order to ease and mitigate these influences.Keywords Crop model Á Hydrological model Á Rice total factor productivity (TFP) Á Spatial lag model Á Research and development activities JEL code C21 Á Q54 Á R11 Á R15

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“…Kuroda (1995) showed, in the case of the total cost function, that unlike the conventional growth accounting method, if both constant returns to scale and Hicks neutrality are not assumed a priori, changes in the growth rates of factor intensities can be decomposed into price effects, bias effects due to output scale and technological change, while changes in the growth rate of TFP can be decomposed into the effects due to scale economies and technological progress.…”

Section: Methodsmentioning

confidence: 99%

“…Kuroda (1995) applied this procedure in his study of labor productivity measurement in Japanese agriculture, 1956-90. The present study is going to decompose the growth rate of labor productivity into factor price effect, fixed input effect, scale effect and technological change effect.…”

Section: Introductionmentioning

confidence: 99%

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An Empirical Analysis of Labor Productivity Growth for the Taiwanese Rice Sector

Sultana¹,

Kuroda²

2012

IJEF

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This paper investigates the factors responsible for a high growth rate of labor productivity of the agricultural sector for the period 1976-93 for Taiwan. This investigation is carried out by a newly devised procedure which decomposes the growth rate of labor productivity into (1) the total substitution effect which consists of the effects due to factor price changes and biased technological change and (2) the TFP effect composed of the effects due to scale economies and technological progress. Based on empirical estimation of the translog cost function, it was found that the total substitution effect contributed to the growth of labor productivity much more than the TFP effect did for the period under question.

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Labor productivity measurement in Japanese agriculture, 1956–1990

Cited by 19 publications

References 20 publications

Qualification and assessment of work organisation in livestock farms

Qualification and assessment of work organisation in livestock farms

Technological spillover in Japanese rice productivity under long-term climate change: evidence from the spatial econometric model

An Empirical Analysis of Labor Productivity Growth for the Taiwanese Rice Sector

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