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Journal articles on the topic 'Translog production function'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Nababan, Tongam Sihol, Elvis Fresly Purba, and Jongkers Tampubolon. "Influence of Input Value and Labor Expenditure on Output Value: A Case of Micro and Small Scale Industry in Indonesia." Integrated Journal of Business and Economics 4, no. 1 (2020): 45. http://dx.doi.org/10.33019/ijbe.v4i1.246.

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Objectives of the study are: (1) to estimate the influence of input value and labor expenditure on the output of micro and small industries in Indonesia, (2) to analyze the form of translog production function that is compatible with micro and small industries in Indonesia. The analytical method used is descriptive method and analysis of translog production functions with scenarios: linear translog function, complete second-order or quadratic linear translog function, and linear translog function with interaction. Results showed that (1) the function of linear translog production with interact

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2

AKÇAY, Yaşar, and Kemal ESENGÜN. "Translog Production Function and an Application." Turkish Journal of Agriculture and Forestry 21, no. 5 (1997): 457–62. http://dx.doi.org/10.55730/1300-011x.2800.

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3

Furtan, W. Hartley, and Richard S. Gray. "THE TRANSLOG PRODUCTION FUNCTION: APPLICATION TO SASKATCHEWAN AGRICULTURE." Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie 29, no. 1 (2008): 82–86. http://dx.doi.org/10.1111/j.1744-7976.1981.tb02155.x.

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4

Hilmer, Christiana E., and Matthew T. Holt. "Estimating Indirect Production Functions with a More General Specification: An Application of the Lewbel Model." Journal of Agricultural and Applied Economics 37, no. 3 (2005): 619–34. http://dx.doi.org/10.1017/s1074070800027127.

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Whereas consumer theory employs several different empirical specifications for estimating indirect utility functions, producer theory has relied on the Translog specification to estimate the indirect production function. In this paper, we apply Lewbel's more general functional specification and investigate its implications for the estimation of indirect production functions in productivity analysis. An attractive feature of the Lewbel model is that it nests both the Translog and the almost ideal supply system, offering a method to assess the empirical validity of all three specifications. Aggr

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5

Liana, Limetry, Hermanto Siregar, Bonar Marulitua Sinaga, and Dedi Budiman Hakim. "Efisiensi Teknis Perkebunan Sawit Rakyat di Provinsi Riau: Pendekatan Model Produksi Cobb-Douglas dan Translog." Jurnal Agribisnis Indonesia 13, no. 1 (2025): 49–60. https://doi.org/10.29244/jai.2025.13.1.49-60.

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This study assesses the technical efficiency of smallholder oil palm plantations in Riau Province by applying two production function models Cobb-Douglas and translog analyzed using a stochastic frontier approach. The Cobb-Douglas model assumes constant returns to scale and a linear relationship between inputs and outputs. In contrast, the translog model allows for greater flexibility by accounting for non-linear interactions between variables. Data were collected from 115 smallholder farmers in Siak, Riau, through surveys and interviews. The results from the Cobb-Douglas model indicate that l

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6

Kim, H. Youn. "The Translog Production Function and Variable Returns to Scale." Review of Economics and Statistics 74, no. 3 (1992): 546. http://dx.doi.org/10.2307/2109500.

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7

ESKANDER, H., M. ALHAMDANI, and Q. JASSAM. "ESTIMATION OF TRANSLOG COST FUNCTION OF BARLEY PRODUCTION IN WASIT." Mesopotamia Journal of Agriculture 46, no. 2 (2018): 1–6. http://dx.doi.org/10.33899/magrj.2018.161438.

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8

Kymn, Kern O., and John J. Hisnanick. "The CES--Translog Production Function, Returns to Scale and AES." Bulletin of Economic Research 53, no. 3 (2001): 207–14. http://dx.doi.org/10.1111/1467-8586.00131.

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9

Kumbhakar, Subal C. "Modelling technical and allocative inefficiency in a translog production function." Economics Letters 31, no. 2 (1989): 119–23. http://dx.doi.org/10.1016/0165-1765(89)90183-3.

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10

Lantz, Van A., and Yigezu A. Yigezu. "An economic impact analysis of market and policy changes in a New Brunswick Fundy Model Forest community." Forestry Chronicle 79, no. 5 (2003): 957–66. http://dx.doi.org/10.5558/tfc79957-5.

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A two-sector computable general equilibrium model is calibrated to the New Brunswick community of Petitcodiac using translog cost function regression analysis, and a questionnaire. Simulations are conducted for marginal reductions in both the price of lumber and the timber supply. We observe that both reductions have negative impacts on output and most production factors in the forest sector. Other production sectors tend to expand as production factors flow to where they receive their highest return. Results of this study indicate that the New Brunswick community is more (less) significantly

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11

Makreet, Ahmad Salman, and Habibullah Rezaei. "Analyzing the Impact of Farm Size on Rice Production in Kunduz Province." Samangan Academic & Research Journal 2, no. 01 (2024): 1–23. https://doi.org/10.64226/sarj.v2i01.40.

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Kunduz Province is one of Afghanistan's most significant rice production hubs. Therefore, an empirical investigation into the benefits derived from farm size for enhancing the production efficiency of rice holds particular importance. This study was conducted with this aim in the rice fields of Kunduz, recognized as one of the primary centers of rice production in Afghanistan. Data on rice production and consumption were collected through questionnaires completed by 180 rice farmers in Kunduz during the years 2022-2023. Using dual theory, three forms of consumption functions—Translog, Generali

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12

Corbo, Vittorio, and Jean-Marie Dufour. "Fonctions de production dans l’économie du Québec." Articles 54, no. 2 (2009): 176–206. http://dx.doi.org/10.7202/800771ar.

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The purpose of this paper is to study the characteristics of the production process in the Quebec economy. We devote particular attention to two features of the technology: the returns to scale and the substitution possibilities. Two forms of production functions, the Cobb-Douglas and an homothetic translog production function, are estimated for six branches of economic activity. These are: Agriculture; Fishing and Forestry; Mining; Quarying and Oil Wells; Manufacturing; Utilities; Services. Two main conclusions are derived from this work. First, there is strong evidence of constant returns to

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13

Mary Louis, L. "Translog Normal - Half Normal Stochastic Frontier Production function–An application to Turmeric Production." International Journal of Mathematics Trends and Technology 16, no. 2 (2014): 79–86. http://dx.doi.org/10.14445/22315373/ijmtt-v16p513.

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14

Awuma, Williams, Oke Samuel, and Antwi-Adjei Alex. "Cassava: Farmers Adoption and Livelihood in Bono Region Performance of Stochastic Frontier Functions." International Journal of Multidisciplinary Studies and Innovative Research 10, no. 2 (2022): 1531–37. http://dx.doi.org/10.53075/ijmsirq/656357565465.

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The objective is to analyze the stochastic frontier function in comparing the performance of the Cobb-Douglas and Translog Frontier functions in the cultivation of cassava in the Bono Region of Ghana. The assumption is that given the same level of productive inputs of farmers at any given farming season, across heterogeneous farmlands, both functions are likely to produce the same results. The interview was used as the instrument for obtaining plot-specific data from 120 cassava farmers across six districts and data was analyzed using the quantitative technique. Direct predictors of output inc

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15

Hakim, Rachman, Tri Haryanto, and Dyah Wulan Sari. "Analysis of Factors Affecting the Technical Efficiency of Rice Farming in East Java Province." Jurnal Ekonomi Pembangunan 18, no. 2 (2020): 123. http://dx.doi.org/10.22219/jep.v18i2.12808.

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Agriculture is a dominant sector in Indonesia, mostly because many people work in this sector, especially in agricultural centers such as East Java Province. However, it is ironic that the farm sector does not have a considerable contribution to Indonesia's national income. This study aimed to measure rice farming's efficiency in East Java and determine whether education, access to credit, farmer group membership, age, and agricultural extension affected rice farming efficiency. The data source comes from the Central Statistics Agency (Agricultural Business Household Income Survey) in 2013 for

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16

Saidin, Nainggolan, Fitri Yanuar, Oktari Ulma Riri, and Cleantha br. Sinuraya Cynthia. "Estimation of the profit function of Trans log and the elasticity of input demand in rice farming in Jambi province." GSC Advanced Research and Reviews 13, no. 1 (2022): 169–75. https://doi.org/10.5281/zenodo.7665628.

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This study aims to analyze the development of input and output prices, the translog profit function, and the elasticity of demand for lowland rice farming inputs in Jambi Province. The function model used is the Transcendental Logarithmic (Translog) profit function. The study results show that ·         The development of input prices has increased significantly every year. ·         The production input factors that affect the profitability of lowland rice farming are the price of seeds, TSP fertiliz

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Isnurdiansyah, Isnurdiansyah, Netti Tinaprilla, and Anisa Dwi Utami. "Determinant Factors Of Climate-Smart Rice Cultivation Production In Pasuruan: Translog Production Function Approach." Jurnal Agribisnis Indonesia 13, no. 1 (2025): 223–40. https://doi.org/10.29244/jai.2025.13.1.223-240.

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The agricultural sector is a contributor to greenhouse gas (GHG) emissions and a vulnerable victim of climate change at the same time. Climate change has affected food stability and security, including rice. It is an essential commodity to pay attention to in terms of quantity, quality, and continuity. ice cultivation practices can threaten it. Climate-smart rice cultivation (CSRC) can be a solution and needs to be introduced to respond to these challenges. CSRC is one of the programs carried out by The World Agroforestry Center (ICRAF) through The ‘Rejoso Kita Phase 2’ project in Pasuruan Dis

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18

Oulad El Fakir, Ahmed. "An Attempt of Determining Some Characteristics of the Moroccan Productive System." Journal of Economics and Public Finance 8, no. 3 (2022): p72. http://dx.doi.org/10.22158/jepf.v8n3p72.

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The purpose of this paper is to determine some characteristics of the production system of the Moroccan economy for a single product (GDP) with annual data from 1999 to 2019. Then, we try to estimate the TFP from a translog production function to compare it with that corresponding to a Cobb-Douglas production function, if possible. The results obtained show the difficulties encountered in these estimations, particularly the multicollinearity between the explanatory variables.

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19

Han, Dong, and Zheng Yan. "Measuring Technological Progress of Smart Grid Based on Production Function Approach." Mathematical Problems in Engineering 2014 (2014): 1–9. http://dx.doi.org/10.1155/2014/861820.

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Production function theory combined with data envelopment analysis (DEA) and ridge regression analysis (RRA) is applied to evaluate the technological progress of the smart grid. The feasible conditions of production function models are determined by the DEA algorithm. RRA is applied to estimate the relevant parameters of the evaluation models under study. One of the significant steps in the design of the assessment algorithm is the structure of production function models. Therefore, the Cobb-Douglas, constant elasticity of substitution, and translog production functions are employed to evaluat

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20

Wijetunga, Chatura Sewwandi. "Rice production structures in Sri Lanka: The normalized translog profit function approach." Asian Journal of Agriculture and Rural Development 6, no. 2 (2016): 21–35. http://dx.doi.org/10.18488/journal.1005/2016.6.2/1005.2.21.35.

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21

Lin, Boqiang, and Philip Atsagli. "Inter-fuel substitution possibilities in South Africa: A translog production function approach." Energy 121 (February 2017): 822–31. http://dx.doi.org/10.1016/j.energy.2016.12.119.

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22

Nazir, Sidra, Nasir Mahmood, and Gulnaz Hameed. "Output and Substitution Elasticities in Pakistan’s Industrial Sectors: Panel Data Analysis." Economics and Finance Letters 9, no. 2 (2022): 257–72. http://dx.doi.org/10.18488/29.v9i2.3180.

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This study performed a panel data analysis of Pakistan’s nine major sub-industries in the years 1980–2019. The primary objective was to conduct a disaggregate analysis of the substitution elasticity of inputs in the different industries, including textile, mining and currying, manufacturing, fuel extraction, electricity, gas, and water supply, using the translog production function. The study used the translog production function to estimate output and substitution elasticities for each sub-industry. Based on the results of the output elasticities, the study concluded that there were negative

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23

Saidin Nainggolan, Yanuar Fitri, Riri Oktari Ulma, and Cynthia Cleantha br. Sinuraya. "Estimation of the profit function of Trans log and the elasticity of input demand in rice farming in Jambi province." GSC Advanced Research and Reviews 13, no. 1 (2022): 169–75. http://dx.doi.org/10.30574/gscarr.2022.13.1.0266.

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This study aims to analyze the development of input and output prices, the translog profit function, and the elasticity of demand for lowland rice farming inputs in Jambi Province. The function model used is the Transcendental Logarithmic (Translog) profit function. The study results show that · The development of input prices has increased significantly every year. · The production input factors that affect the profitability of lowland rice farming are the price of seeds, TSP fertilizer, and other chemical fertilizers (KML). Other production factors such as urea fertilizer prices, pesticide p

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24

Rezvanian, Rasoul, Nanda Rangan, and Richard Grabowski. "Market Structure And Banking Production Economies: Evidence From The 1980s Deregulation." Journal of Applied Business Research (JABR) 8, no. 3 (2011): 46. http://dx.doi.org/10.19030/jabr.v8i3.6143.

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This study examines the changes in the cost structure of banking firms using data from pre and post deregulation periods. A translog cost function is utilized for the analyses of economies of scale and scope. The results indicate that the average cost curves, although U-shaped flattened over time, resulting in an increase in optimal bank size. Economies of scope that existed prior to deregulation appears to be exhausted in a more nonconstrained environment.

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25

BONNIEUX, FRANCOIS. "Estimating regional-level input demand for French agriculture using a translog production function." European Review of Agricultural Economics 16, no. 2 (1989): 229–41. http://dx.doi.org/10.1093/erae/16.2.229.

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26

Brox, James, Emanuel Carvalho, and Dino Lusetti. "Input substitution in Canadian manufacturing: An application of the CES-translog production function." Atlantic Economic Journal 16, no. 2 (1988): 22–46. http://dx.doi.org/10.1007/bf02306321.

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27

Nautiyal, J. C., and K. L. Belli. "Study of Production Functions for Modeling Forest Biomass: An Area for Research." Forest Science 35, no. 3 (1989): 843–49. http://dx.doi.org/10.1093/forestscience/35.3.843.

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Abstract The usefulness of production functions, mathematical descriptions of production processes, has long been recognized by economists in manufacturing industries, and more recently by agricultural scientists in the field of biological production. As increasing emphasis in forestry is placed on short-rotation, intensive crop management it would seem that foresters would also require production functions for rational timber management planning. These functions could be useful in a number of areas such as: crop tree growth prediction, control of stand development, economic analysis for decis

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28

Laumas, Prem S., and Martin Williams. "The Demand for Heterogeneous Capital and Labour Inputs in a Developing Economy." Pakistan Development Review 25, no. 2 (1986): 127–40. http://dx.doi.org/10.30541/v25i2pp.127-140.

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By using translog cost function this paper examines the structure of production of India's manufacturing sector when heterogeneous labour and capital are employed. It concludes that (a) machinery, equipment and structures are substitutable for different types of labour; (b) non-production workers work more intensively with machines and equipment than production workers in most of the manufacturing industries; (c) non-production workers are substitutable for production workers; and (d) non-production and production workers must be treated as separate labour inputs in production, and machinery a

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29

N.R, PADMANABAN. "INPUT USE EFFICIENCY IN PADDY WITH SPECIAL REFERENCE TO WATER - A TRANSLOG PRODUCTION FUNCTION APPROACH." Madras Agricultural Journal 85, september (1998): 442–46. http://dx.doi.org/10.29321/maj.10.a00781.

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A study conducted in Krishnagiri Reservoir Project (KRP) in Tamil Nadu indicated that the water use efficiency in Navarai paddy was the highest in tail region with 32.85 kg/ha cm of water, followed by middle and head regions. Translog production functions were employed for each region to analyse the input use efficiency. The results clearly showed that labour and irrigation water were overused in the ayacut area whereas the inorganic fertilizers were underutilised and there is scope for increasing the productivity of navarai paddy through rational use of these scarce resources.

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Grisley, William, and Kangethe W. Gitu. "A Translog Cost Analysis of Turkey Production in the Mid-Atlantic Region." Journal of Agricultural and Applied Economics 17, no. 1 (1985): 151–58. http://dx.doi.org/10.1017/s0081305200017167.

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AbstractThe production structure of 165-hen and 200-tom turkey flocks is investigated using a translog (dual) variable cost function. The partial static equilibrium elasticities of scale, input demand, input substitution, and cross price elasticities of demand are calculated. The elasticity of scale is found to be not significantly different from one over the range of 5,900 to 9,822 birds for the hen flocks and over the range of 7,765 to 11,043 birds for the torn flocks. In general, the input demand elasticities are inelastic with the exception of the input fuel. The cross-price elasticities a

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31

Hung Chiang, Yat, and Eddie W.L. Cheng. "Estimating contractors’ efficiency with panel data." Construction Innovation 14, no. 3 (2014): 274–91. http://dx.doi.org/10.1108/ci-07-2013-0033.

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Purpose – This paper aims to explore the use of the data envelopment analysis (DEA), Cobb-Douglas and translog production function methods in estimating contractors’ efficiency. Design/methodology/approach – In this paper, the DEA, translog and Cobb-Douglas methods were used to estimate the technical efficiency of 23 contractors in Hong Kong from 2003 to 2009. For this research, four input and three output variables were identified. Findings – The results suggest that the efficiency scores obtained from the DEA method were significantly different from those obtained from the translog and Cobb-

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Oppong, Atta Boahen. "Technical efficiency and production risk of maize production: Evidence from Ghana." Journal of Energy and Natural Resource Management 3, no. 2 (2018): 74–80. http://dx.doi.org/10.26796/jenrm.v3i2.61.

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The paper performs an investigation of maize production efficiency in Ghana by the stochastic frontier model with flexible riskproperties using a cross section of 232 farms from the Brong-Ahafo Region. The findings of the study are the translog model isbest fit for the mean output function, whilst the input variables: seed, herbicide, land, labor and cost of intermediate inputspositively influence maize output at decreasing returns to scale. The study also finds that seed and labor inputs are negativelyrelated to production risk, whilst land and cost of intermediate inputs are classified as ri

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Pika Shabirah, Harianto, and Ahmad Suryana. "The Influence of Female Labor on Rice Farming Efficiency." JURNAL AGRIBISAINS 8, no. 2 (2022): 54–66. http://dx.doi.org/10.30997/jagi.v8i2.6088.

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Most of the women work in the informal sector, especially in the agricultural sector (61.80%), as well as the male workers (53.71%). This shows the high contibution and participation of women in agricultural activities.This study aimed to analyze the influence of female workers on the technical efficiency of lowland rice farming and to analyze the factors that influence it. This study used Translog Stochastic Frontier production function and was estimated using the Maximum Likelihood Estimation (MLE) method. The results showed that lowland rice farming, both with male-headed and female-headed

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Constantin, Paulo Dutra, Diogenes Leiva Martin, and Edward Bernard Bastiaan de Rivera Y Rivera. "Cobb-Douglas, Translog Stochastic Production Function and Data Envelopment Analysis in Total Factor Productivity in Brazilian Agribusiness." Journal of Operations and Supply Chain Management 2, no. 2 (2009): 20. http://dx.doi.org/10.12660/joscmv2n2p20-33.

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The objective of this paper is to apply a Cobb-Douglas, Translog Stochastic Production Function and Data Envelopment Analysis in order to estimate inefficiencies over time as well as respective TFP (Total Factor Productivity) sources for main Brazilian grain crops - namely, rice, beans, maize, soybeans and wheat - throughout the most recent data available comprising the period 2001-2006. The results indicate that, although positive changes exist in TFP for the sample analyzed, a decline in the use of technology has been evidenced for all grain crops in which it is observed a historical downfal

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Huy, Birgit, Joachim G. Elferich, and Conrado M. Gempesaw. "Recent Changes in the Regional Structure of U.S. Dairy Production." Northeastern Journal of Agricultural and Resource Economics 17, no. 1 (1988): 36–45. http://dx.doi.org/10.1017/s0899367x00001628.

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Gauging the impact of recent policy changes, this article analyzes production characteristics and the impact of the dairy assessment for northeastern dairy farmers as compared to other major production regions. Employing a restricted translog variable profit function, returns to size, shadow prices, supply elasticities for milk and livestock as well as demand elasticities for concentrate were estimated. Northeastern, just as midwestern farmers, were less responsive in milk supply and concentrate demand, more responsive in livestock production, and less efficient than their California and Texas

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36

Sielska, Agata, and Ewelina Nojszewska. "Production function for modeling hospital activities. The case of Polish county hospitals." PLOS ONE 17, no. 5 (2022): e0268350. http://dx.doi.org/10.1371/journal.pone.0268350.

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The aim of the article is to present the use of production function as a source of knowledge for managers of county hospitals to make rational decisions so as to achieve economic efficiency, including naturally the financial efficiency. The healthcare sector in each country differs from other sectors of the economy. The economically effective operation of county hospitals in Poland is very difficult due to all their determinants. Therefore, all economic analyses should be used to help hospital managers achieve this goal, and production function remains underestimated as a source of knowledge.

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Dwyfor Evans, Alun, Christopher J. Green, and Victor Murinde. "Human capital and financial development in economic growth: new evidence using the translog production function." International Journal of Finance & Economics 7, no. 2 (2002): 123–40. http://dx.doi.org/10.1002/ijfe.182.

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Nagubadi, Rao V., and Daowei Zhang. "Production structure and input substitution in Canadian sawmill and wood preservation industry." Canadian Journal of Forest Research 36, no. 11 (2006): 3007–14. http://dx.doi.org/10.1139/x06-187.

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We use a translog cost function to analyze the sawmill and wood-preservation industry in Canada from 1958 to 2003. The estimated cost function is homothetic and Hicks neutral. Allen elasticities of substitution indicate that significant substitution possibilities exist. According to Morishima elasticities of substitution, substitution of labour by other inputs is easier than the substitution of other inputs by labour, and substitution of other inputs by materials is easier than the substitution of materials by other inputs. The demand for production labour, nonproduction labour, and electric p

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Smet, Mike. "Multi-product cost functions: An application to the production characteristics of secondary education in Flanders." Recherches économiques de Louvain 64, no. 4 (1998): 407–23. http://dx.doi.org/10.1017/s0770451800031663.

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SummaryThis study estimates two multi-product cost functions for the entire population of 773 Flemish secondary schools supplying a six-year study program. From the estimated parameters of a quadratic and a generalised translog cost function the degree of ray and product specific (dis)economies of scale as well as the degree of (dis)economies of scope is determined. The paper also describes how marginal costs and cost elasticities can be derived. Three major study fields can be distinguished. Student loads in each of these study fields are used as output variables. Evidence is found for ray ec

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40

Chaudhary, Muhammad Ali, Mushtaq Ahmad Khan, and Kaukab Hassan Naqvi. "Estimates of Farm Output Supply and Input Demand Elasticities: The Translog Profit Function Approach." Pakistan Development Review 37, no. 4II (1998): 1031–50. http://dx.doi.org/10.30541/v37i4iipp.1031-1050.

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The importance of estimating valid elasticities of farm output supply and input demand can hardly be overemphasised. Reliable estimates of these elasticities are sine qua non for predicting accurately the farmer responsiveness to changes in inputoutput prices and government taxes and thereby for formulating successful agricultural incentive programmes consistent with national requirements of food, development and exports. In fact, robust estimates of the coefficients of such elasticities can serve as a solid basis in determining effective policy relevant interventions for promoting production,

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Ho, Phuc Trong, Pham Xuan Hung, and Phuong Thi Minh Nguyen. "Estimating profit, input demand and output supply elasticities in rice production: Evidence from Vietnam." African Journal of Agricultural and Resource Economics 19, no. 4 (2024): 369–85. https://doi.org/10.53936/afjare.2024.19(4).22.

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Understanding rice farmers’ responses to market prices is essential for policy makers to design effective policies to better manage input demand and rice supply. This paper applies duality theory to derive the elasticities of input demand and output supply for Vietnamese rice production using a translog profit function approach. We simultaneously estimate the translog profit function and its profit share equations using the seemingly unrelated regression method. This research uses primary farm-level data consisting of 918 observations surveyed in Vietnam’s Mekong River Delta. The results indic

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TOKUNAGA, Suminori, and Masahiro KAGEYAMA. "Impacts of Agglomeration and Co-agglomeration Effects on Production in the Japanese Manufacturing Industry : Using Flexible Translog Production Function." Studies in Regional Science 38, no. 2 (2008): 331–37. http://dx.doi.org/10.2457/srs.38.331.

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43

Lin, Boqiang, and Kui Liu. "Energy Substitution Effect on China’s Heavy Industry: Perspectives of a Translog Production Function and Ridge Regression." Sustainability 9, no. 11 (2017): 1892. http://dx.doi.org/10.3390/su9111892.

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44

Sethi, Amarjit Singh, and Supreet Kaur. "Sources of Growth in Punjab and Haryana Economies vs. India: Evidence from Translog Production Function Analysis." SEDME (Small Enterprises Development, Management & Extension Journal): A worldwide window on MSME Studies 43, no. 3 (2016): 47–68. http://dx.doi.org/10.1177/0970846420160304.

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Arnade, Carlos, and Christopher G. Davis. "Chickens, Feed Grains, or Both: The Mexican Market." Journal of Agricultural and Applied Economics 51, no. 02 (2019): 286–303. http://dx.doi.org/10.1017/aae.2018.33.

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AbstractThis study connects Mexico’s imports of U.S. broiler meat with its imports of feed products. Two demand systems for Mexico are estimated: a two-stage Almost Ideal Demand System (AIDS) model for broiler meat and a demand for feed derived from a translog cost function representing the production of Mexican chickens. The models are estimated using data from 1997 to 2016. Given a change in policy where Mexico completely replaces U.S. broiler meat imports, the imports of U.S. feed products will increase. If Mexico does not completely replace U.S. imports with domestic broiler production, ou

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Nazir, Sidra, Nasir Mahmood, and Gulnaz Hameed. "Energy Substitution Effect in Major Energy Consumption Sectors of Pakistan: Translog Cost Function." Review of Economics and Development Studies 8, no. 2 (2022): 167–81. http://dx.doi.org/10.47067/reads.v8i2.448.

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There is inadequate works available in the case of Pakistan that have tested the rebound effect due to energy use and its impacts on the environment, so in this study, comparative analysis of energy substitution effect on Pakistan’ three major energy consumption sectors industrial, transport and electricity sector has done, by using the translog cost function in time series data framework. And finally, the main aim is to give the Policy suggestion for different implications like energy and output, to the government of Pakistan doing the aggregate. From the analysis, it has been concluded that

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Ryhänen, Matti. "Input substitution and technological development on Finnish dairy farms for 1965-1991: Empirical application on bookkeeping dairy farms." Agricultural and Food Science 3, no. 6 (1994): 519–601. http://dx.doi.org/10.23986/afsci.72722.

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The study presents an attempt to gain a better understanding of the input substitution and technological development on Finnish dairy farms. The dual approach of the neoclassical production and cost theory is applied. A system of derived demand and cost functions is estimated using a representative dairy farm data and panel data of bookkeeping Finnish dairy farms. The flexible translog cost function is utilized to solve the empirical research problem. The cost function study is chosen, because it makes it possible to study production of farms operating in the area of decreasing average costs.

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Mivumbi, Michel, and Xiaoling Yuan. "Sustainable Environmental Economics in Farmers’ Production Factors via Irrigation Resources Utilization Using Technical Efficiency and Allocative Efficiency." Sustainability 15, no. 5 (2023): 4101. http://dx.doi.org/10.3390/su15054101.

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This study reports the results of farmers’ production via irrigation resources utilization and efficiency parameters of technical efficiency and allocative efficiency by way of sustainable environmental economics. The hypothesis is that factors of farmers’ production affect technical efficiency and allocative efficiency in the irrigation scheme as sustainable environmental economics. Data from cross section and panel data were used and then the productivity parameters measurement of the production function are outlined in two scenarios: first, the data report that the parameters such as output

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ĎURČOVÁ, JÚLIA, and KARINA STELMAKH. "OFFSHORING AND ITS IMPACT ON V4 LABOR MARKET: THE URGENT NEED FOR UPSKILLING AND COMPETENCE ADAPTATION." AD ALTA: Journal of Interdisciplinary Research 14, no. 2 (2024): 92–96. https://doi.org/10.33543/j.1402.9296.

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Over the past 20 years, production processes have become more fragmented, with various stages offshored to different locations, impacting international and domestic labor markets. CEE countries have become key offshoring destinations due to their skilled labor and competitive costs. This study aims to assess how shifts in international production affect labor markets in the V4 countries. We estimate a system of employment-share equations derived from a translog cost function, incorporating offshoring and domestic outsourcing, using the SUR method. Our findings suggest that offshoring negativel

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Smith, Phillip, and Ian A. Munn. "Regional Cost Function Analysis of the Logging Industry in the Pacific Northwest and Southeast." Forest Science 44, no. 4 (1998): 517–25. http://dx.doi.org/10.1093/forestscience/44.4.517.

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Abstract Nonhomothetic translog cost functions with two variable inputs, labor and capital, were estimated to compare the underlying production structure of the logging industry in the Pacific Northwest and Southeast regions of the United States from 1963 to 1992. The parent cost function and capital share equation for each region were estimated using Maximum Likelihood Estimation techniques. Both equations were significantly different between regions. The industry in both regions was capital-using over the study period. Labor and capital were substitutes in each region, but substitution possi

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