Long-Term Shifts in Korean Manufacturing and Plant-Level Productivity Dynamics

2020 ◽  
Author(s):  
Yoonsoo Lee
Keyword(s):  
Plant Level ◽  
Productivity Dynamics

scholarly journals Productivity Dynamics and Rural Industrialization in India

2019 ◽  
Vol 32 (1) ◽  
pp. 23-46
Author(s):  
Takahiro Sato ◽  
Aradhna Aggarwal
Keyword(s):  
Panel Data ◽  
Total Factor Productivity ◽  
Productivity Growth ◽  
Rural Areas ◽  
Manufacturing Sector ◽  
Aggregate Productivity ◽  
Factor Productivity ◽  
Rural Industrialization ◽  
Plant Level ◽  
Productivity Dynamics

Since the late 1990s, industrialization in India has been driven by the rural organized manufacturing sector. This paper examines the effects of firms’ dynamics on rural industrialization in India, using plant-level panel data, to investigate the characteristics of rural industrialization in India in recent years. In particular, the paper focuses on productivity differences among continuing, entering, and exiting firms. The results show that both labour and total factor productivity of the organized manufacturing sector in rural areas increased during 2000–2006 and the aggregate productivity growth is supported by the productivity growth of the continuing firms, the entry of productive firms, and the exit of less-productive firms. The paper can conclude that firms’ productivity dynamics contributed to the current rural industrialization in India. JEL: O14, O47, O53

Overview of EDF Life Cycle Management and Nuclear Asset Management Methodology and Tools

2008 ◽  
Author(s):  
P. Hai¨k ◽  
K. Fessart ◽  
E. Remy ◽  
J. Lonchampt
Keyword(s):  
Life Cycle ◽  
Case Studies ◽  
Asset Management ◽  
Capital Investment ◽  
Life Cycle Management ◽  
Software Tools ◽  
Decision Makers ◽  
Operation And Maintenance ◽  
Plant Level

The long term management of a production asset raises several major issues among which rank the technical management of the plant, its economics and the fleet level perspective one has to adopt. Decision makers are therefore faced with the need to define long term policies (up to the end of asset operation) which take into account multiple criteria including safety (which is paramount) and performance. In this context, EDF “PWR Durability I & II” research projects have consecutively been launched, since 2001, at EDF - Research & Development in order to develop methods and tools for EDF fleet. The aim of this paper is to summarize and analyze the research work that has been performed by EDF - R&D (in the field of decision making for nuclear power plant maintenance and operation) during the past seven year, in order to characterize the issues that have been or could be addressed with the developed methodology and tools. As a result, in this paper, we first remind the reader of the EDF overall methodology for asset management and its adaptations to plant-level life cycle management and to fleet-level component major replacement or capital investment management. We then focus on the three software tools that implement this methodology in order to allow decision makers, in several different contexts (life-cycle management, plant level operation and maintenance optimization, major component replacement ...) to define, evaluate and analyze long term plant operation and maintenance policies, major component replacement policies and capital investment strategies. We also show how the methodology and the software tools were used, from 2003 to 2007, on several pilot case studies. Examples of technical and economic results obtained for two pilot case studies (one at the plant level, the other at the fleet level) are described as well as the kinds of conclusions one can draw from them in order to help decision makers evaluate and analyze long term asset management strategies or compare different plants. We also analyze the added value of probabilistic evaluations and of our “rolling-up” process that allows to take into account interactions between the components of the plant or between the plants. Finally, we propose a classification of issues that can be addressed with our methodology and tools and introduce some perspectives for our future work.

scholarly journals Land productivity dynamics in and around protected areas globally from 1999 to 2013

2019 ◽  
Author(s):  
Begoña de la Fuente ◽  
Mélanie Weynants ◽  
Bastian Bertzky ◽  
Giacomo Delli ◽  
Andrea Mandrici ◽  
...  
Keyword(s):  
Ecosystem Services ◽  
Protected Areas ◽  
Land Degradation ◽  
Well Being ◽  
Active Management ◽  
Total Biomass ◽  
Productive Capacity ◽  
Land Productivity ◽  
Productivity Dynamics

AbstractTracking changes in total biomass production or land productivity is an essential part of monitoring land transformations and long-term alterations of the health and productive capacity of land that are typically associated with land degradation. Persistent declines in land productivity impact many terrestrial ecosystem services that form the basis for sustainable livelihoods of human communities. Protected areas (PAs) are a key strategy in global efforts to conserve biodiversity and ecosystem services that are critical for human well-being, and cover about 15% of the land worldwide. Here we globally assess the trends in land productivity in PAs of at least 10 km2 and in their unprotected surroundings (10 km buffers) from 1999 to 2013. We quantify the percentage of the protected and unprotected land that shows stable, increasing or decreasing trends in land productivity, quantified as long-term (15 year) changes in above-ground biomass derived from satellite-based observations with a spatial resolution of 1 km. We find that 44% of the land in PAs globally has retained the productivity at stable levels from 1999 to 2013, compared to 42% of stable productivity in the unprotected land around PAs. Persistent increases in productivity are more common in the unprotected lands around PAs (32%) than within PAs (18%) globally, which may be related to more active management and vegetation cover changes in some of these unprotected lands. About 14% of the protected land and 12% of the unprotected land around PAs has experienced declines in land productivity from 1999 to 2013 globally. Oceania has the highest percentage of land with stable productivity in PAs (57%) followed by Asia (52%). Europe is the continent with the lowest percentage of land with stable productivity levels in PAs (38%) and with the largest share of protected land with increasing land productivity (32%), which may be related to the high population density and share of agricultural land within PAs as well as to rural land abandonment processes in many regions of Europe. In conclusion, we provide a relevant indicator and assessment of land productivity dynamics that contributes to characterise the state, pressures and changes in and around protected areas globally. Further research may focus on more detailed analyses to disentangle the relative contribution of specific drivers (from climate change to land use change) and their interaction with land productivity dynamics and potential land degradation in different regions of the world.

Asset Management Evaluation: A Pilot Case Study

2006 ◽  
Vol 129 (1) ◽  
pp. 148-154
Author(s):  
C. E. Bauby ◽  
B. Charbonnier ◽  
P. Haik ◽  
S. Lacombe ◽  
J. Lonchampt ◽  
...  
Keyword(s):  
Asset Management ◽  
Management Strategies ◽  
Software Tool ◽  
Decision Makers ◽  
Technical Management ◽  
Maintenance Policies ◽  
Plant Level ◽  
And Performance

The long term management of a production asset raises several major issues, among which rank the technical management of the plant, its economics, and the fleet level perspective one has to adopt. Decision makers are therefore faced with the need to define long term policies (up to the end of asset operation) that take into account multiple criteria including safety (which is paramount) and performance. In this paper we first remind the reader of the EDF three-level methodology for asset management. As introduced in PVP 2003 and PVP 2004, this methodology addresses the component/technical level (how to safely operate daily and invest for the future), the plant level (how to translate technical decisions into plant-wide consequences including economic performance), and the fleet level (how to manage a large number of similar assets). We then focus on the software tool that implements this methodology in order to allow decision makers to define, evaluate, and analyze long term plant operation and maintenance policies. Lastly we show how the methodology and the software tool were used on a pilot case study. The technical and economic results obtained at the plant level are described as well as the conclusions one can draw from them in order to help decision makers evaluate and analyze long term asset management strategies.

Asset Management Evaluation: Extended Pilot Case Studies

2007 ◽  
Author(s):  
P. Hai¨k ◽  
C. Bauby ◽  
J. Lonchampt ◽  
E. Remy
Keyword(s):  
Case Studies ◽  
Asset Management ◽  
Management Strategies ◽  
Software Tool ◽  
Decision Makers ◽  
Added Value ◽  
Maintenance Policies ◽  
Plant Level ◽  
And Performance

The long term management of a production asset raises several major issues among which rank the technical management of the plant, its economics and the fleet level perspective one has to adopt. Decision makers are therefore faced with the need to define long term policies (up to the end of asset operation) which take into account multiple criteria including safety (which is paramount) and performance. In this paper we first remind the reader of the EDF three-level methodology for asset management. As introduced in PVP 03 [1] and PVP 04 [2], this methodology addresses the component/technical level (how to safely operate daily and invest for the future), the plant level (how to translate technical decisions into plant-wide consequences including economic performance) and the fleet level (how to manage a large number of similar assets). We then focus on the software tools — introduced in PVP 04 [2] and PVP 05 [4] — that implement this methodology in order to allow decision makers to define, evaluate and analyze long term plant operation and maintenance policies. Lastly we show how the methodology and the software tool were used, in 2006, on two pilot case studies. Examples of technical and economic results obtained at the plant level are described as well as the conclusions one can draw from them in order to help decision makers evaluate and analyze long term asset management strategies or compare different plants. We also analyze the added value of probabilistic evaluations and of our “rolling-up” process that allows to take into account interactions existing between the components of the plant. Finally, we introduce some of the possible uses of our methodology and tools.

scholarly journals Productivity dynamics of oak forests of the Crimean Peninsula

2020 ◽  
Vol 169 ◽  
pp. 03007
Author(s):  
Roman Gorbunov
Keyword(s):  
Remote Sensing ◽  
Vegetation Index ◽  
Forest Ecosystems ◽  
Remote Sensing Data ◽  
Oak Forests ◽  
Data Series ◽  
Crimean Peninsula ◽  
Productivity Dynamics ◽  
The Crimean Peninsula

The work proposes a methodology for studying the productivity dynamics of forest ecosystems based on remote sensing data. The possibility of using the NDVI vegetation index to study the interannual variability in productivity of regional ecosystems is shown. The long-term productivity dynamics of oak forests of the Crimean Peninsula is analyzed. On the basis of the data series obtained, the periods characterized by peculiarities of the productivity dynamics of forest ecosystems are identified.

Asset Management Evaluation: A Pilot Case Study

2005 ◽  
Author(s):  
C. E. Bauby ◽  
B. Charbonnier ◽  
P. Haik ◽  
S. Lacombe ◽  
J. Lonchampt ◽  
...  
Keyword(s):  
Asset Management ◽  
Management Strategies ◽  
Software Tool ◽  
Decision Makers ◽  
Technical Management ◽  
Maintenance Policies ◽  
Plant Level ◽  
And Performance

The long term management of a production asset raises several major issues among which rank the technical management of the plant, its economics and the fleet level perspective one has to adopt. Decision makers are therefore faced with the need to define long term policies (up to the end of asset operation) which take into account multiple criteria including safety (which is paramount) and performance. In this paper we first remind the reader of the EDF three-level methodology for asset management. As introduced in PVP 2003 and PVP 2004, this methodology addresses the component/technical level (how to safely operate daily and invest for the future), the plant level (how to translate technical decisions into plant-wide consequences including economic performance) and the fleet level (how to manage a large number of similar assets). We then focus on the software tool that implements this methodology in order to allow decision makers to define, evaluate and analyze long term plant operation and maintenance policies. Lastly we show how the methodology and the software tool were used on a pilot case study. The technical and economic results obtained at the plant level are described as well as the conclusions one can draw from them in order to help decision makers evaluate and analyze long term asset management strategies.

scholarly journals Influence of farm milk prices in the EU 25 on profitability and production volume indicator

2008 ◽  
Vol 53 (No. 12) ◽  
pp. 545-557
Author(s):  
F. Střeleček ◽  
R. Zdeněk ◽  
J. Lososová
Keyword(s):  
Milk Yield ◽  
Productivity Growth ◽  
Labour Productivity ◽  
Production Volume ◽  
Labour Productivity Growth ◽  
Main Determinants ◽  
The Individual ◽  
Productivity Dynamics ◽  
The Eu

The paper analyses the development of milk prices and effectiveness and economy of holdings included in the particular production category of “411 Milk” and their relations. The influence of prices on profitability, elasticity of production, labour productivity dynamics, effectiveness of long-term assets and resulting cost changes are discussed in particular. Milk profitability was not significantly influenced by different prices in the individual states. The variation of prices in time was more important. The production is supposed to grow with delay. Milk yield (per cow and year) and number of cows per worker are the main determinants of labour productivity growth in the in-kind expression. The influence of prices on labour productivity in monetary expression among individual states is not as important as was supposed.

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