Resource productivity

Concerted efforts are being made at micro as well as macro levels in Pakistan to increase farm production and raise productivity in the agricultural sector. For diagnostic purposes and for formulation of general guidelines for an intelligent decision making, at micro and macro levels, it is important to identify and quantify the contribution of various factor inputs, especially of those factors whose supplies can be more easily changed in the short run. Satisfactory quantitative estimates of resource productivity in the pro¬duction of major crops in Pakistan are generally not available. Except for a few studies carried out on wheat [2], not much is known about the contribution of various factor inputs, such as farm labour, fertilizers, etc., to the final output. The main objective of this paper is to estimate and analyse the resource pro¬ductivity of various factor inputs obtaining in the Punjab's agriculture. The estimates are derived from production function analysis performed on the major crops of the province, i.e. Mexi-Pak and local wheat, Basmati rice, IRRI rice, Jhonna rice, maize (corn), cotton and sugarcane. The marginal product¬ivities of various farm inputs in the production of various crops are computed from the estimated production functions.

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Comparative Assessment of Resource Productivity Factors in the Oil and Gas Companies

The Journal of Social Sciences Research ◽

10.32861/jssr.spi5.75.79 ◽

2018 ◽

pp. 75-79

Keyword(s):

Panel Data ◽

Business Processes ◽

Oil And Gas ◽

Gas Production ◽

Data Models ◽

Panel Data Models ◽

Cost Information ◽

Oil And Gas Production ◽

Resource Productivity ◽

Cost Center

The study provides a method using econometric analysis to create corporate organizational knowledge in order to enhance innovation and competitiveness of the corporation. Improving the efficiency of industrial business processes involves analyzing cost information using specialized statistical and econometric software. Gretl package fully solves the problem of determining the relationship between performance, cost center classification, forecasting and simulating the consequences of the decisions taken, highlighting the segments and building predictive profiles of each costs segment. The authors demonstrate capabilities of panel data to prove the necessity of modern analysis methods in the management of business processes. To this end, the paper suggests the methodical approach to measuring drivers of resource productivity on the basis of panel data models, taking into account the individual differences between the economic units by the example of oil production. Measuring and identifying the drivers of business processes efficiency on the basis of panel data models can be one of the possible areas of management cognitive supporting. The results obtained with the use of Gretl software of empirical assessment confirmed their feasibility in the management of business processes in oil and gas production.

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Integrating life cycle assessment and material flow cost accounting to account for resource productivity and economic-environmental performance

The International Journal of Life Cycle Assessment ◽

10.1007/s11367-018-1447-7 ◽

2018 ◽

Vol 23 (7) ◽

pp. 1491-1506 ◽

Cited By ~ 9

Author(s):

Ramona Rieckhof ◽

Edeltraud Guenther

Keyword(s):

Life Cycle Assessment ◽

Life Cycle ◽

Environmental Performance ◽

Material Flow ◽

Cost Accounting ◽

Resource Productivity

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Identifying the impact of meritocracy on human resource productivity from the perspective of police academy lecturers

International Journal of Innovative Research and Scientific Studies ◽

10.53894/ijirss.v3i2.34 ◽

2020 ◽

Vol 3 (2) ◽

pp. 56-61

Author(s):

Mohammad Ali Fetrat ◽

Sema Mutahar

Keyword(s):

Regression Analysis ◽

Human Resources ◽

Human Resource ◽

Police Academy ◽

Alpha Coefficient ◽

Statistical Population ◽

Resource Productivity ◽

Spss Software ◽

Descriptive Survey ◽

The Impact

The present study was conducted to "identify the impact of meritocracy on human resource productivity from the perspective of police academies". This research is a descriptive-survey research in terms of purpose and methodology. The statistical population of this study is all lecturers of Kabul Police Academy. Morgan table was used to determine the sample size, which according to the population of the sample required 121 people. The instrument or the device of this study is a complex questionnaire. The reliability of this questionnaire was confirmed by Cronbach's alpha coefficient of 0.85. SPSS software was used to analyze the data using regression analysis. The results of this study show that meritocracy has a significant effect on human resource productivity, it also the effect of meritocracy components (knowledge, consciousness, abilities, skills, attitudes, education, training, and retention) on productivity. Human resources are influential and the hypotheses are confirmed.

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