The Relationship Between the Productivity Index and the Diffusivity Coefficient and Its Application in Reservoir Characterization

2012 ◽  
Vol 30 (17) ◽  
pp. 1789-1801
Author(s):  
A. Qazvini Firouz ◽  
B. Y. Jamaloei ◽  
F. Torabi ◽  
V. Dehdari
Keyword(s):  
Reservoir Characterization ◽  
Productivity Index ◽  
Diffusivity Coefficient ◽  
The Relationship

scholarly journals Establishing Land Suitability Criteria for Cashew (Anacardium occidentaleL.) in Indonesia

2014 ◽  
Vol 2014 ◽  
pp. 1-14 ◽  
Author(s):  
Widiatmaka ◽  
Atang Sutandi ◽  
Anas Iswandi ◽  
Usman Daras ◽  
Muhammad Hikmat ◽  
...  
Keyword(s):  
Scale Development ◽  
Site Selection ◽  
Large Scale ◽  
Land Suitability ◽  
Productivity Index ◽  
Internal Boundary ◽  
Yield Response ◽  
Boundary Line ◽  
The Relationship ◽  
Boundary Lines

Commodity development requires site selection which should be established prior to large scale development. The land suitability criteria for cashew are not presently available. The relationship between the biophysical aspects, especially land and soil with commodity productivity, is also not known in depth. The objective of this study is to establish the criteria of land suitability for cashew in Indonesia, based on its production and land characteristics. Cashew plantations in 5 provinces were sampled. The data of production per tree per year were obtained from farmers, while the soil was sampled and analyzed in the laboratory. Age-adjusted cashew production was used as the yield response and plotted against land characteristics. Boundary lines resulting from the scatter of points were described; these lines produced the limits of land suitability criteria. The criteria were established using a projection of the intersection between the boundary line and yield interval. The criteria were also built in accordance with the productivity index of FAO for the internal boundary inside the S (suitable) class and by calculating the break-event point production for the boundary between S (suitable) and N (nonsuitable) order. The main result of this research is land suitability criteria for cashew.

Economic-geographical location as a factor in productivity differences between Russia’s regions

2020 ◽  
pp. 79-91
Author(s):  
K. V. Rostislav
Keyword(s):  
Russian Federation ◽  
Institutional Environment ◽  
Labour Force ◽  
Geographical Location ◽  
Productivity Index ◽  
Centrality Measure ◽  
The Russian Federation ◽  
Productivity Estimation ◽  
The Relationship ◽  
Better Than

The article is devoted to assessing the relationship between productivity as the most important source of sustainable economic development, and various factors that can explain this productivity. The method of productivity estimation used in the paper takes into account that income is created using not only living labour, but also capital stock. In contrast to previous studies, the paper uses the productivity index that meets the transitivity criterion, which allows for geographical comparisons. To assess the benefits of economic-geographical location (EGL), a new centrality measure is presented that reflects the network nature of territorial connections and allows us to switch to accounting for not only points but also areal objects, particularly the subjects of the Russian Federation. Using the new centrality measure, it is shown that EGL explains the differences in productivity between the regions – the subjects of the Russian Federation in 2010–2016 better than other factors. At the same time, it follows from the estimated model that various properties of the labour force described by the concepts of human capital, and the institutional environment are significantly less related to the observed productivity of regions. To demonstrate the superiority of economic-geographical approaches to explaining productivity, we used relatively new for economic geography methods of machine learning.

Information Technology Spending Association with Organizational Productivity and Performance

2011 ◽  
pp. 89-124 ◽  
Author(s):  
Carlos J. Navarrete ◽  
James B. Pick
Keyword(s):  
Federal Government ◽  
Efficiency Index ◽  
Productivity Index ◽  
Bank Performance ◽  
Operational Cost ◽  
Organizational Productivity ◽  
Bank Efficiency ◽  
Productivity Indices ◽  
And Performance ◽  
The Relationship

This chapter examines the relationship between IT expenditure and bank profitability, efficiency, productivity, and performance for Mexican banks. The principal research method is correlation analysis between IT expenditure and four bank performance indices: a profitability index that combines bank profits, income, operational cost, and financial cost; a performance index that includes credit and bank income market share; a productivity index consisting of the number of employees, branches, and managers; and an efficiency index that includes banks’ operational cost and income. The unit of analysis is the firm. The data are from the 18 banks comprising the Mexican banking industry from 1982–1992, when Mexico’s banks were owned by the federal government. The study’s interpretations are supported by interviews with four bank CIOs and a CEO, in office during the period. The main findings are that bank IT expenditure ratio is positively correlated to bank performance and productivity indices, whereas IT expenditure is not correlated with bank efficiency or profitability indices. There are fluctuations in the strength of correlation during the 11-year period, which are explained. The chapter results not only reject the productivity paradox but also provide insights to explain the paradox and IT contribution to the firm performance.

INTELLECTUAL CAPITAL AND PERFORMANCE IN THE SEMICONDUCTOR INDUSTRY

2019 ◽  
Vol 65 (05) ◽  
pp. 1323-1348
Author(s):  
KUO-CHENG KUO ◽  
WEN-MIN LU ◽  
GRACE TZU-YI CHANG
Keyword(s):  
Intellectual Capital ◽  
Integrated Circuit ◽  
Semiconductor Industry ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Efficient Production ◽  
Ic Design ◽  
Ic Packaging ◽  
And Performance ◽  
The Relationship

This paper researches a method of rating competitiveness involving the estimation of the performance of semiconductor firms through Malmquist productivity index (MPI) and metafrontier Malmquist productivity index (MMPI). Regressions are used to find the relationship between intellectual capital and performance. Overall, technological innovations contribute to the improvement in the integrated circuit (IC) design sub-industry while increases in efficient production allow the IC foundry sub-industry and the IC packaging and testing sub-industry to maintain position. The regression results show human capital was critical to technological innovation while relational capital was important to efficient production.

scholarly journals Technical Efficiency and Technical Change in Africa: The Role of Money from the Diasporas

2018 ◽  
Vol 10 (7) ◽  
pp. 177
Author(s):  
Gloria Clarissa O. Dzeha ◽  
Joshua Yindenaba Abor ◽  
Festus Ebo Turkson ◽  
Elikplimi Komla Agbloyor
Keyword(s):  
Technical Efficiency ◽  
Total Factor Productivity ◽  
Technical Change ◽  
Seemingly Unrelated Regression ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Factor Productivity ◽  
Unrelated Regression ◽  
The Relationship

Based on evidence from the literature that the relationship between remittances and total factor productivity (TFP) is inconclusive, we employ the non-parametric Malmquist productivity index - Data Envelope Analysis to decompose total factor productivity (TFP) into technical change and technical efficiency and further investigate the effect of remittances on the technical change and technical efficiency. We employ the Seemingly Unrelated Regression estimation (SUR) technique in a panel of twenty-three African remittance recipient countries across a twenty-three-year period (1990-2013). We show that remittances received by households have a positive and significant impact on technical efficiency but no significant on technical change (innovativeness). We further show that remittances received by skilled labour is significant to technical efficiency but has a lowering effect on technical efficiency.

Use of the Beta Distribution To Determine Well-Log Shale Parameters

2009 ◽  
Vol 12 (06) ◽  
pp. 929-942 ◽  
Author(s):  
Robert S. Gullco ◽  
Malcolm Anderson
Keyword(s):  
Beta Distribution ◽  
Reservoir Characterization ◽  
Gamma Ray ◽  
Volume Fraction ◽  
Dirichlet Distribution ◽  
Theoretical Background ◽  
Multidimensional Case ◽  
Mineral Component ◽  
Rock Composition ◽  
The Relationship

Summary The Beta distribution in n-dimensions is introduced to describe the proportions of the mineralogical components existing in a certain stratigraphic interval (the porosity is included as a "mineralogical component"). The justification for doing so is empirical. The model allows the calculation of well-logging parameters, such as GRma, GRsh, and shale density, without having to introduce them by "eye." It also allows the probabilistic calculation of the rock composition at each depth when there are more mineralogical components than logs: that is, there is a shortage of equations. In addition to this, the Beta model can be used to test the hypothesis that the relationship between any two components can be regarded as random, which should have applications in reservoir characterization. Introduction Sedimentary rocks may be described ultimately as a mixture of minerals and pores. For a given lithological column, it is possible using well logs to calculate the composition of the rocks at discrete points. We may ask which should be the probability distribution of the volume fraction of each mineral component (with the porosity included as a "mineral component") along this lithological column. This distribution should satisfy at least the following conditions:The values of each of the components should range between 0 and 1.The sum of all the components should be equal to 1, for all points. The well-known Beta distribution, which is also known as the Dirichlet distribution in the multidimensional case (Gelman et al. 2003), satisfies these requirements. Although, in theory, this distribution allows for a porosity of 1, in practice the values of the parameters of the distribution are such that very high porosities are extremely unlikely. There are also empirical observations that support the use of this distribution to model rocks. It is quite frequent to see histograms of the gamma ray (GR) log across more or less "homogeneous" intervals, which are clearly unimodal and asymmetrical (i.e., they are skewed). If we assume that the GR log is sensitive to only one component (the "shale"), then, if the shale volume fraction is Beta-distributed, the character of the GR log can be explained easily. In summary, despite the lack of a sound theoretical background, there are some numerical characteristics and empirical observations that justify the introduction of this distribution.

scholarly journals Taphofacies and Petrofacies Theoretical Marine Models Applied to the Coquina of the Amaral Formation (Lusitanian Basin, Portugal)

2021 ◽  
Vol 9 (12) ◽  
pp. 1319
Author(s):  
Gustavo Gonçalves Garcia ◽  
Antônio Jorge Vasconcellos Garcia ◽  
Maria Helena Paiva Henriques ◽  
Rafael Mendes Marques ◽  
Rui Pena dos Reis
Keyword(s):  
Reservoir Characterization ◽  
Flow Simulation ◽  
Theoretical Models ◽  
Definition Of ◽  
Taphonomic Analysis ◽  
The Relationship ◽  
Wide Geographic Distribution ◽  
Lateral Variations ◽  
Lusitanian Basin

The Amaral Formation has a wide geographic distribution within the Lusitanian Basin, at the western Iberian Margin (Portugal). The different depositional contexts for this unit enabled the distinction of three sectors: lagoon, lagoon-barrier, and marine-distal. The integration of the evolutionary taphonomic analysis of its fossil assemblages with the analysis of multiscale properties through the CAMURES methodology (Multiscale Reservoir Characterization) allowed the application of a methodology for the classification of coquina which was previously developed for the Morro do Chaves Formation (Sergipe–Alagoas Basin, Brazil). Here, it was adapted according to the complexity of the Amaral Formation deposits. The classification of ten taphofacies, in association with four lithofacies, allowed the definition of 84 petrofacies, based on the nature of the sedimentary and taphonomic processes. The relationship between the structural context, the systems tracts, the diversity of the fossil record, the classification of taphofacies and petrofacies, and the understanding of vertical and lateral variations of the sediments’ deposition within the unit support the construction of geological and theoretical models for coquina deposits. These models will allow for prediction of the spatial distribution of facies in other coquina analogous hydrocarbon reservoirs, as well as specifying the delimitation of reservoir zones for 3D geocellular modeling and flow simulation of hydrocarbon-producing reservoirs, thus improving predictive analyses.

Lean manufacturing and productivity changes: the moderating role of R&D

2019 ◽  
Vol 69 (1) ◽  
pp. 169-191 ◽  
Author(s):  
Yingjie Shi ◽  
Xinyu Wang ◽  
Xuechang Zhu
Keyword(s):  
Lean Manufacturing ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Scale Efficiency ◽  
Moderating Effects ◽  
Negative Effects ◽  
Content Type ◽  
Listed Firms ◽  
The Relationship

Purpose The purpose of this paper is to empirically investigate the effect of lean manufacturing on productivity changes and to identify the root sources of productivity changes. Furthermore, the authors explore the moderating effects of research and development (R&D) to examine the relationship between lean manufacturing and productivity changes. Design/methodology/approach This paper employs the propensity score matching (PSM) model combined with the difference-in-difference (DID) estimation to overcome the selectivity bias. The Malmquist productivity index is used to capture productivity changes. By analyzing 671 Chinese manufacturing listed firms from 2009 to 2014, the moderating effects of R&D on the relationship between lean manufacturing and productivity changes are measured. Findings The results reveal that lean manufacturing implementation has non-significant effects on productivity changes in principle, while a detailed analysis indicates that lean manufacturing could improve scale efficiency significantly. While engaged in R&D could significantly improve the efficiency of technological changes for lean manufacturing implementation firms, there exist negative effects on pure technical efficiency. Research limitations/implications This research only covers manufacturing listed firms in China. Further studies should extend the generalizability of the findings. Practical implications This study helps managers to identify the important role of R&D on the relationship between lean manufacturing and productivity changes and provides insights into how to improve the lean manufacturing performance. Originality/value This paper appears to be one of the earliest studies on the relationship between lean manufacturing and productivity changes by applying the PSM combined with DID estimation in Chinese manufacturing environment.

Sign in / Sign up

Export Citation Format

Share Document