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Relevant bibliographies by topics / Translog production function

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Academic literature on the topic 'Translog production function'

Author: Grafiati

Published: 4 June 2021

Last updated: 11 June 2025

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Journal articles on the topic "Translog production function"

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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 interaction was more suitable used to estimate the production output of micro and small industries in Indonesia, (2) input value and labor expenditure had a positive and significant effect on output values, (3) micro-industry enterprises more emphasis on the allocation of larger workforce, while small-scale industry emphasizes greater allocation of input value, (4) the allocation of input value and labor expenditure are more efficient in micro-industries compared to small-scale industries.

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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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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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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. Aggregate U.S. production data are used to examine the performance of the three models in an empirical application.

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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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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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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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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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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 scale in all branches of the Quebec economy but services. Second, when comparing the Cobb-Douglas model with an homothetic translog model, the hypothesis that the true model is the Cobb-Douglas one cannot be rejected for five of our six sectors. Therefore, there is evidence that the elasticity of substitution is around one. Finally a byproduct of our work has been the construction of capital stock series for the Quebec economy (1960-73) disaggregated into 14 sectors, and two types of capital: construction and machinery and equipment.

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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 impacted from timber supply (forest price) changes than a comparative study reports for a region in Alberta. Key words: CGE model, translog cost function, timber supply, lumber prices, regional economics, community impact

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Dissertations / Theses on the topic "Translog production function"

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Pitts, Morris Michael. "A TRANSLOG COST FUNCTION ANALYSIS OF INPUT SUBSTITUTION IN THE U.S. COPPER SMELTING INDUSTRY 1960 - 1991." Diss., Tucson, Arizona : University of Arizona, 2005. http://etd.library.arizona.edu/etd/GetFileServlet?file=file:///data1/pdf/etd/azu%5Fetd%5F1150%5F1%5Fm.pdf&type=application/pdf.

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Costantin, Paulo Dutra. "Fatores condicionantes da produtividade agrícola no Brasil no período de 1970 a 2005: uma abordagem neoclássica." Universidade Presbiteriana Mackenzie, 2007. http://tede.mackenzie.br/jspui/handle/tede/839.

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Made available in DSpace on 2016-03-15T19:31:14Z (GMT). No. of bitstreams: 1 Paulo Dutra Costantin.pdf: 1161497 bytes, checksum: 80c40c8fcef9308bff7d9389b7a7a3f0 (MD5) Previous issue date: 2007-11-09<br>Instituto Presbiteriano Mackenzie<br>The current work aims to provide an inquiry into the causes of productivity increase observed in the Brazilian agricultural sector from the 1970s till the early years of the 2000s. Its working hypothesis is that gains in productivity are explained by factors like increased rural credit, research (technology), tractors, fertilizers and pesticides. More specifically, it analyses and estimates the impact of each of the foregoing variables on the trajectory of agriculture productivity increase in the period under study. In order to accomplish these tasks, we built up a database that gathered the relevant information for subsequent parametric (as well as non-parametric) estimation of the above specified explanatory variables. The first stage of the research consists of developing a conceptual analysis of the term productivity that fits well with neoclassical microeconomic theory and allows for a systematic explanation based on items like production function, cost function and technical progress. The second stage scrutinizes the properties of parametric and non-parametric research methods underlying the overall study. The third part specifies the selected techniques in tune with the available information. They refer to Data Envelopment Analysis (DEA), Cobb-Douglas Production Function, Translog Production Function and Model of Error Correction Vector. The DEA model suggests that there has been an improvement of technical efficiency as well as room for technological progress throughout the last three decades. Based on the Cobb Douglas model, we found out that the three main factors explaining productivity gains in the sector are harvest area, credit and investment. The Translog production function suggests neutrality of technical progress relative of factor employment over time and a positive effect on production. Additionally, it suggests that reduction of cultivated area,rural credit, pesticide and increase of employment of limestone (calcario)contributes to technical progress. Finally, the model of vector error correction identified that rural credit and R&D yield positive effects on agricultural productivity.<br>Esta tese constata que a agricultura brasileira apresentou ganhos de produtividade ao longo das décadas de 1970, 1980, 1990 e nos primeiros anos da década de 2000 em decorrência da utilização de fatores como crédito agrícola, pesquisa, maior número de tratores, fertilizantes, corretivos e defensivos agrícolas. Desse modo, procura-se analisar e mensurar a influência dessas variáveis sobre a produtividade agrícola. Para tanto, foi elaborado um banco de dados contendo as informações que serviram de base para a realização de estimativas paramétricas e não-paramétricas para buscar as evidências do impacto desses fatores sobre o aumento da produtividade agrícola. A primeira etapa do trabalho consistiu em definir o conceito de produtividade, em conformidade com a teoria microeconômica neoclássica, para instrumentalizar a explicação este fenômeno, a partir dos conceitos de função de produção, função custo e progresso técnico. A segunda etapa consistiu na avaliação das propriedades dos métodos paramétricos e não paramétricos a serem utilizados. A etapa seguinte implicou a definição das técnicas a serem empregadas, em função da disponibilidade de informações. Assim, foram selecionadas as seguintes técnicas: o Data Envelopment Analysis (DEA), a Função de Produção Cobb-Douglas, a Função de Produção Translog e o Modelo de Vetor de Correção de Erros. O modelo DEA indicou a existência, ao longo de um período de trinta anos, de melhora tanto da eficiência técnica quanto do progresso tecnológico. O modelo de Cobb-Douglas identificou como principais fatores que contribuíram para o aumento da produtividade neste período a área colhida e os créditos de custeio e investimento. A função de produção Translog identificou que o progresso técnico permaneceu neutro, no tempo, em relação ao emprego de fatores, tendo apresentado efeito positivo sobre a produção. Verificou, ainda, que as reduções da área colhida, do crédito agrícola e do uso de defensivos, assim como o aumento da quantidade empregada de calcário, contribuíram positivamente para o progresso técnico. Por fim, o Modelo de Vetor de Correção de Erros identificou nas variáveis crédito agrícola e pesquisa e desenvolvimento efeitos positivos para o aumento da produtividade agrícola.

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Phiri, Daniel. "Ecnomic value of water for Agriculture, Hydropower and Domestic Use : A case study of the Lunsemfwa catchment, Zambia." Thesis, Södertörns högskola, Nationalekonomi, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:sh:diva-40969.

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The Lunsemfwa river catchment is of paramount importance to the Zambian economy, particularly with regards to energy, agricultural and water for domestic, as well as wildlife. Water shortages during dry spells in the area present a huge problem for the various stakeholders in the basin. As the impact of climate variability increases in the basin, water resources managers in the basin are increasing challenged to efficiently allocate decreasing reserves of water resources against increasing levels of demand. This paper attempts to highlight the value of water resources to the earlier mentioned sectors; hydropower, agriculture and households, in order to inform allocation decisions in the Lunsemfwa catchment area of Zambia. The paper uses the SDDP method to investigate the average cost of electricity production, coupled with market electricity prices to ascertain the value of a unit of electricity given reservoir outflow levels. The PF method was used to evaluate the marginal value of water is agriculture, while the value of water for domestic consumers was evaluated using the Contingent Valuation method, particularly the willingness to pay, which essentially uses market prices to represent the consumers’ willingness to pay. A value of US$93/MWh is attached to hydropower produced here, while the marginal value of water in agriculture is estimated to be US$0.068/m3. The willingness to pay for connection to piped water is approximately US$34.13, while the monthly value is US$6.9. The Gross Financial Value (GFV) generated from hydropower, agriculture and domestic water supply is US$24,174,000, US$ 262,083,045.91 and $7,140,000.00 respectively.

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Jamali, Jaghdani Tinoush. "Demand for Irrigation Water from Depleting Groundwater Resources: An Econometric Approach." Doctoral thesis, 2012. http://hdl.handle.net/11858/00-1735-0000-000D-EF51-7.

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Books on the topic "Translog production function"

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Heyer, Eric. Translog ou Cobb-Douglas?: Le rôle des durées d'utilisation des facteurs : une analyse économétrique à partir de données d'entreprises industrielles françaises sur la période 1989-2001. Banque du Canada, 2004.

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Heyer, Eric. Translog ou Cobb-Douglas?: Le rôle des durées d'utilisation des facteurs : une analyse économétrique à partir de données d'entreprises industrielles françaises sur la période 1989-2001. Banque du Canada, 2004.

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Book chapters on the topic "Translog production function"

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Heathfield, David F., and Sören Wibe. "The Translog Function." In An Introduction to Cost and Production Functions. Macmillan Education UK, 1987. http://dx.doi.org/10.1007/978-1-349-18721-8_6.

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Kuroda, Yoshimi. "Technology Structure of the Rice Sector of Japanese Agriculture: (II) A Translog Variable Profit Function Approach." In Rice Production Structure and Policy Effects in Japan. Palgrave Macmillan UK, 2016. http://dx.doi.org/10.1007/978-1-137-57315-5_3.

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Kuroda, Yoshimi. "Technology Structure of the Rice Sector of Japanese Agriculture: (I) A Translog Variable Cost (VC) Function Approach." In Rice Production Structure and Policy Effects in Japan. Palgrave Macmillan UK, 2016. http://dx.doi.org/10.1007/978-1-137-57315-5_2.

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Conference papers on the topic "Translog production function"

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Yang, Huixian, and Hua Gu. "Energy consumption elasticity analysis based on translog production function in Shaanxi." In 2013 International Conference on Manufacture Engineering and Environment Engineering. WIT Press, 2013. http://dx.doi.org/10.2495/meee130981.

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Yang, Huixian, and Hua Gu. "Energy consumption elasticity analysis based on translog production function in Shaanxi." In 2013 International Conference on Manufacture Engineering and Environment Engineering. WIT Press, 2013. http://dx.doi.org/10.2495/meee20130981.

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Kibara Manyeki, John, Izabella Szakálné Kanó, and Balázs Kotosz. "Livestock product supply and factor demand responsiveness." In The European Union’s Contention in the Reshaping Global Economy. Szegedi Tudományegyetem Gazdaságtudományi Kar, 2020. http://dx.doi.org/10.14232/eucrge.2020.proc.9.

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Despite there being incredible challenges in enhancing livestock development in Kenya, this article isolates product supply and factors input demand responsiveness as the main constraints facing the smallholder. A flexible-Translog profit function permits the application of dual theory in the analysis of livestock product supply and factor demand responsiveness using farm-level household data. The results indicate that own-price elasticities were elastic for cattle, while goat and sheep were inelastic. Cross-price and scale elasticities were found to be within inelastic range in all cases, with the goat being a preferred substitute for cattle. All factor inputs demand elasticities were inelastic with the exception of elastic cattle output prices and labour cost. Thus, the recommended policy option would be supportive pro-pastoral price policies, enhanced investment in pastureland improvement and an increasing wage rate, since these assume key significance in improving the livestock production/marketing.

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