scholarly journals MEASURING RETURNSS TO SCALE, DISTRIBUTION EFFICIENCY AND ESTIMATING WHEAT PRODUCTION FUNCTION IN DHI QAR PROVINCE

2019 ◽  
Vol 50 (6) ◽  
Author(s):  
Barbaz & et al.
Keyword(s):  
Production Function ◽  
Economic Efficiency ◽  
Crop Production ◽  
Robust Regression ◽  
Returns To Scale ◽  
Wheat Crop ◽  
Cross Sectional ◽  
Labor Resource ◽  
Human Labor ◽  
Distribution Efficiency

The aim of this research was to estimate the production function to measure returns to scale and distribution efficiency of  resources used in the production of wheat. Cross sectional data used of a random sample of 130 farmers in Dhi Qar Province. The results of the quantitative analysis of estimating production function showed that the double logarithmic form was the best estimated model based on economic and statistical indicators. However, that form suffered from heteroscedasticity and autocorrelation, so the robust regression technique was chosen. Value of returns to scale was 0.89 and this indicates decreasing returns to scale. This means that production function is in the second stage of the function. The results of the distributional efficiency study showed that the resources used in the production of the crop were not optimized as they amounted to 1.28 for the human labor resource and 20.6 for the capital. There was a shortage in the use of labor resource and capital for the optimal use that achieves economic efficiency and this caused low efficiency of crop production. Therefore, the research recommends the need to increase the amount of human labor in the wheat crop farms in Dhi Qar province, which would move the production function curve to a higher level in order to achieve the economic efficiency of the crop cultivation in the province on the one hand and return the farmers to production in the rational stage. Also, it is important to have the proper allocation of resources available by farmers, which has the effect of increasing the economic efficiency of those resources, which will in turn reflects on the efficiency of crop production.

scholarly journals ESTIMATION OF PROFIT FUNCTION OF WHEAT CROP IN DHI QAR PROVINCE

2020 ◽  
Vol 51 (Special) ◽  
Author(s):  
Barbaz &et al.
Keyword(s):  
Robust Regression ◽  
Production Costs ◽  
Wheat Crop ◽  
Profit Function ◽  
Total Production ◽  
Cross Sectional ◽  
Factors Affecting ◽  
Production Growth ◽  
White Test

This research aims to study the most important factors affecting profit function. Cross sectional data were used in the light of a random sample of 130 farmers in Dhi Qar province. The results showed that the proportion of costs of production inputs amounted to 73% of the total production costs. Also, profit function showed that the amount of output has a significant impact on profit compared to other independent variables since value of the parameter of the quantity of production amounted to about 308879 and was significant at the level of 1% according to t-test. The coefficient determination of about 93% for the equation estimated with OLS. However, heteroscedasticity was obvious according to the White Test. So the model was estimated using robust regression method to avoid this problem, but that led to a decrease in R2 to about 69%. The research recommended the need to increase the rates of production growth and productivity through an organized agricultural economic policy that links the policy of supporting input requirements, both in terms of reducing prices or providing quantity and quality, especially fertilizers and seeds in conjunction with the policy of supporting prices of output. Also, research recommended encouraging farmers to expand wheat crop cultivation in the province of Dhi Qar by increasing the cultivated areas.

Using an Empirically Estimated Production Function for Major League Baseball to Examine Worker Disincentives Associated with Multi-Year Contracts

1997 ◽  
Vol 41 (2) ◽  
pp. 77-83 ◽  
Author(s):  
Mark D. Woolway
Keyword(s):  
Production Function ◽  
Major League Baseball ◽  
Returns To Scale ◽  
Job Security ◽  
Increasing Returns ◽  
Employee Productivity ◽  
Cross Sectional ◽  
Increasing Returns To Scale ◽  
Team Success ◽  
Major League

This paper uses cross-sectional data from the 1993 Major League Baseball season to derive the production function for the industry. Using that function, the hypothesis that employee productivity drops in response to the job security of a multi-year contract is test ed by comparing the marginal products of players in the year preceding and the year following the signing of a multi-year contract. I find that the production function for Major League Baseball exhibits increasing returns to scale and, contrary to the popular belief of observers of the sport, hitting is more important to team success than pitching. I also find compelling, statistically significant evidence of worker disincentives associated with multi-year contracts.

scholarly journals Economic efficiency of agricultural production in Brazil

2004 ◽  
Vol 42 (2) ◽  
pp. 201-222 ◽  
Author(s):  
José R. Vicente
Keyword(s):  
Technical Efficiency ◽  
Economic Efficiency ◽  
Rural Areas ◽  
Crop Production ◽  
Returns To Scale ◽  
Allocative Efficiency ◽  
Soil Conditions ◽  
Agricultural Crop ◽  
Constant Returns To Scale ◽  
Allocative Inefficiency

This study measures levels of technical, allocative and economic efficiency in agricultural crop production for Brazil in 1995. A nonparametric frontier model (DEA) under constant returns to scale was used. On average, the results suggest that the sector suffers from moderate technical inefficiency and from strong allocative inefficiency. If full technical efficiency were achieved, the crop production would increase by more than 30% over that obtained in 1995. Land and labor were overutilized, while fertilizers and pesticides were underutilized. Climate, soil conditions and irrigation use affected technical efficiency levels, and education in rural areas helped explain the extent of allocative efficiency. The state of São Paulo State was the only production unit in Brazil operating in full efficiency in 1995.

scholarly journals Nitrogen fertility in semiarid dryland wheat production is challenging for beginning organic farmers

2012 ◽  
Vol 29 (1) ◽  
pp. 42-47 ◽  
Author(s):  
Drew J. Lyon ◽  
Gary W. Hergert
Keyword(s):  
Winter Wheat ◽  
Great Plains ◽  
Green Manure ◽  
Crop Production ◽  
Cropping Systems ◽  
Farming Systems ◽  
Cattle Manure ◽  
Wheat Crop ◽  
N Fertility ◽  
Summer Fallow

AbstractOrganic farming systems use green and animal manures to supply nitrogen (N) to their fields for crop production. The objective of this study was to evaluate the effect of green manure and composted cattle manure on the subsequent winter wheat (Triticum aestivumL.) crop in a semiarid environment. Dry pea (Pisum sativumL.) was seeded in early April and terminated at first flower in late June. Composted cattle manure was applied at 0, 11.2 or 22.5 Mg ha−1just prior to pea termination. Winter wheat was planted in mid September following the green manure or tilled summer fallow. No positive wheat response to green manure or composted cattle manure was observed in any of the 3 years of the study. In 2 of the 3 years, wheat yields and grain test weight were reduced following green manure. Green manure reduced grain yields compared with summer fallow by 220 and 1190 kg ha−1in 2009 and 2010, respectively. This may partially be explained by 40 and 47 mm less soil water at wheat planting following peas compared with tilled summer fallow in 2008 and 2009, respectively. Also, in 2008 and 2009, soil nitrate level averaged 45 kg ha−1higher for black fallow compared with green manure fallow when no compost was added. Organic growers in the semiarid Central Great Plains will be challenged to supply N fertility to their winter wheat crop in a rapid and consistent manner as a result of the inherently variable precipitation. Growers may need to allow several years to pass before seeing the benefits of fertility practices in their winter wheat cropping systems.

Pesticides Residues in Blood Serum and Their Adverse Effects on Multi- Biomarkers in Occupationally Exposed Greenhouse Workers: A Cross-Sectional Study in Hamadan City, Iran

2021 ◽  
Author(s):  
Mostafa Leili ◽  
Abolfazl Ghafouri Khosrowshahi ◽  
Jalal Poorolajal ◽  
Fateme Samiee ◽  
Mohammad Taghi Samadi ◽  
...  
Keyword(s):  
Blood Serum ◽  
Crop Production ◽  
Hematological Parameters ◽  
Severe Form ◽  
Mean Corpuscular Hemoglobin ◽  
Adult Males ◽  
Corpuscular Hemoglobin ◽  
Cross Sectional ◽  
Pesticides Residues ◽  
Greenhouse Workers

Abstract The cultivation of greenhouse crops is the most severe form of crop production in Iran, and vast quantities of unreasonable pesticides are being utilized to control pests. The residual level of blood pesticides and its correlation with multi- biomarkers were determined to evaluate the adverse health consequences on greenhouse workers in the Hamdan city of Iran. Participants were 180 adult males, including 90 greenhouse workers exposed to pesticides and 90 control individuals. The residue analyses revealed that 64 out of the 90 workers had residues of dichlorvos, diazinon, and chlorpyrifos in their blood serum; and 56.25% out of these workers were exposed for > 15 years period. The residues of all three pesticides were higher than the no observable adverse effect level (NOAEL) in all the exposure duration categories. Comparisons of hematological parameters showed that mean monocyte (P < 0.001), lymphocyte (P < 0.001) and platelet counts (P = 0.001), mean platelet volume (P = 0.002), and plateletcrit (PCT) (P < 0.001) were significantly higher in workers than in controls, whereas hemoglobin (HB) (P = 0.028), mean corpuscular hemoglobin (MCH), and mean corpuscular hemoglobin concentrations (MCHC) (P < 0.001) were lower in workers than controls. These results show that exposure to different pesticides was associated with alterations in some biochemical and hematological parameters. Prevention and intervention programs can be effective in eliminating pesticide-related alterations among agricultural workers.

scholarly journals Impact of Irrigation Ecology on Rice Production Efficiency in Ghana

2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
John Kanburi Bidzakin ◽  
Simon C. Fialor ◽  
Dadson Awunyo-Vitor ◽  
Iddrisu Yahaya
Keyword(s):  
Economic Efficiency ◽  
Production Efficiency ◽  
Positive Impact ◽  
Stochastic Frontier ◽  
Allocative Efficiency ◽  
Rice Production ◽  
Cross Sectional ◽  
Rice Farmers ◽  
Effect Regression ◽  
The Impact

Irrigation production is a means by which agricultural production can be increased to meet the growing food demands in the world. This study evaluated the effect of irrigation ecology on farm household technical, allocative, and economic efficiency of smallholder rice farmers. Cross-sectional data was obtained from 350 rice farmers across rain fed and irrigation ecologies. Stochastic frontier analyses are used to estimate the production efficiency and endogenous treatment effect regression model is used to estimate the impact of irrigation ecology on rice production efficiency. The impact of irrigation ecology on technical efficiency is about 0.05, which implies farmers producing under irrigation ecology are more technically efficient in their rice production than those in rain fed production. The impact of irrigation ecology on allocative efficiency is about 0.33, which shows that farmers participating in irrigation farming are more allocatively efficient in their rice production than those in rain fed production. The impact on economic efficiency is about 0.23, meaning that farmers participating in irrigation farming are more economically efficient in their rice production than those in rain fed production. Irrigation ecology has positive impact on production efficiency; hence farmers should be encouraged to produce more under irrigation for increased yield and profit.

A Review of Herbicide Resistance in Iran

Weed Science ◽  
2016 ◽  
Vol 64 (4) ◽  
pp. 551-561 ◽  
Author(s):  
Javid Gherekhloo ◽  
Mostafa Oveisi ◽  
Eskandar Zand ◽  
Rafael De Prado
Keyword(s):  
Herbicide Resistance ◽  
Crop Production ◽  
Arable Land ◽  
Wheat Crop ◽  
Wild Oat ◽  
Weed Species ◽  
Wild Mustard ◽  
Development Of Resistance ◽  
Resistance To Herbicides ◽  
Continuous Use

Continuous use of herbicides has triggered a phenomenon called herbicide resistance. Nowadays, herbicide resistance is a worldwide problem that threatens sustainable agriculture. A study of over a decade on herbicides in Iran has revealed that herbicide resistance has been occurring since 2004 in some weed species. Almost all the results of these studies have been published in national scientific journals and in conference proceedings on the subject. In the current review, studies on herbicide resistance in Iran were included to provide a perspective of developing weed resistance to herbicides for international scientists. More than 70% of arable land in Iran is given over to cultivation of wheat, barley, and rice; wheat alone covers nearly 52%. Within the past 40 years, 108 herbicides from different groups of modes of action have been registered in Iran, of which 28 are for the selective control of weeds in wheat and barley. Major resistance to ACCase-inhibiting herbicides has been shown in some weed species, such as winter wild oat, wild oat, littleseed canarygrass, hood canarygrass, and rigid ryegrass. With respect to the broad area of wheat crop production and continuous use of herbicides with the sole mechanism of action of ACCase inhibition, the provinces of West Azerbaijan, Tehran, Khorasan, Isfahan, Markazi, and Semnan are at risk of resistance development. In addition, because of continuous long-term use of tribenuron-methyl, resistance in broadleaf species is also being developed. Evidence has recently shown resistance of turnipweed and wild mustard populations to this herbicide. Stable monitoring of fields in doubtful areas and providing good education and training for technicians and farmers to practice integrated methods would help to prevent or delay the development of resistance to herbicides.

scholarly journals Measurement of technical efficiency in the case of heterogeneity of technologies used between firms – Based on evidence from Polish crop farms

2021 ◽  
Author(s):  
Jerzy Marzec ◽  
Andrzej Pisulewski
Keyword(s):  
Technical Efficiency ◽  
Production Function ◽  
Prior Distribution ◽  
Prior Information ◽  
Stochastic Frontier ◽  
Returns To Scale ◽  
Random Coefficients ◽  
Point Of View ◽  
Model Specification ◽  
Stochastic Frontier Models

In the present study, we have investigated several competing stochastic frontier models which differ in terms of the form of the production function (Cobb-Douglas or translog), inefficiency distribution (half-normal or exponential distribution) and type of prior distribution for the parameters (hierarchical or non-hierarchical from the Bayesian point of view). This last distinction corresponds to a difference between random coefficients and fixed coefficients models. Consequently, this study aims to examine to what extent inferences about estimates of farms' efficiency depend on the above assumptions. Moreover, the study intends to investigate how far the production function's characteristics are affected by the choice of the type of prior distribution for the parameters. First of all, it was found that the form of the production function does not impact the efficiency scores. Secondly, we found that measures of technical efficiency are sensitive to distributional assumptions about the inefficiency term. Finally, we have revealed that estimates of technical efficiency are reasonably robust to the prior information about the parameters of crop farms' production technology. There is also a resemblance in the elasticity of output with respect to inputs between the models considered in this paper. Additionally, the measurement of returns to scale is not sensitive to model specification.

scholarly journals Effect of livestock production on the economic efficiency of irrigation systems

2006 ◽  
Vol 51 (2) ◽  
pp. 177-187 ◽  
Author(s):  
Petar Gogic
Keyword(s):  
Economic Efficiency ◽  
Crop Production ◽  
Net Present Value ◽  
Crop Yields ◽  
Irrigation System ◽  
Livestock Production ◽  
Economic Effects ◽  
Field Crop ◽  
System Utilization ◽  
Price Relationship

The aim of the study was to examine the effect of livestock production on the economic efficiency of investments in irrigation projects. The study was based on a model focused on field crop/livestock production using the data of crop yields in field crop production with or without irrigation, financial results of cattle fattening and milk production and the input and output price relationship. The influence of livestock production on the economic effects of irrigation system utilization was evaluated using the indices of economic efficiency of investments - internal rate of return, net present value and pay-back period. The data on the amount of investments required for the construction of the irrigation system, economic benefit achieved by optimizing production under both irrigated and non-irrigated conditions, with and without livestock production were used to determine these indices.

scholarly journals Analisis Efisiensi Faktor Produksi Usaha Budidaya Ikan Bandeng (Chanos chanos) (Studi Kasus pada Alumni Peserta Pelatihan Budidaya Ikan di BPPP Banyuwangi

2017 ◽  
Vol 2 (1) ◽  
Author(s):  
. Sumartin
Keyword(s):  
Production Function ◽  
Economic Efficiency ◽  
Production Efficiency ◽  
Function Analysis ◽  
Least Square ◽  
Fish Culture ◽  
Production Factor ◽  
Marginal Product ◽  
Price Efficiency ◽  
Factors Of Production

This study aims to  analyze the  economic, technical and price efficiency of  milkfish farmers participating fish culture training at Center of Education and Fisheries Training Banyuwangi, analyzing covering factors affecting production efficiency. Analysis of data used in the form of production function analysis Cobb Douglas stochastic frontier which is estimated by Ordinary Least Square Method (OLS). Estimation of Cobb-Douglas production function model using OLS method to know the efficiency of the average performance of fish culture business. Estimates with the maximum likelihood (MLE) method to determining the level of technical efficiency, using the 4.7 frontier computing program developed by Coelli (1996). To know the efficiency of the price can be calculated by the value of marginal product (VMP) of production factor. The results show that the level of economic efficiency of milkfish culture business in Gresik East Java, based on the results of estimation using MLE method, the result of six factors of production is in rational area, but not yet efficient because the obtained coefficient value of each area of pond (X1) 0.318, fertilizer (X2) 0.079, lime (X3) 0.009, seeds (X4) 0.005, probiotics (X6) 0.066 and labor (X7) 1.311. While one feed production factor (X5) is in an irrational area because it has a coefficient value of -0.017. While the variables that influence inefficiency are experiential variables (Z1), age of farmers (Z2) and formal education (Z3) each have elasticity of -0.0711458; -0,6270106 and -0,1504381. The value of Marginal Product (NPM) of pond production area (X1) is 0.00059 (<1), Fertilizer (X2) is greater than 1 ie 3,01413, lime production factor (X3) 3,35338, the other NPM factor production such as Seed (X4) and Labor (X7), with value less than 1 (0.00075 and 0.03865), NPM Feed (X5), is smaller than one ie -0.00364 (<1 ). NPM probiotic (X6) is 95,1491 (> 1). Overall allocation of the seven factors of production is the average value of price efficiency is also more than one that is equal to 101,553 and economic efficiency equal to 2,904. it can be concluded that fish breeding business has not been efficient. Keywords: efficiency, economy, technical, price, frontier, milkfish

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