Analysis of Economic Efficiency in Sawnwood Production in Southwest Nigeria

Kehinde, A. L.; Awoyemi, Taiwo Timothy

doi:10.1080/09709274.2009.11906179

Cited by 7 publications

(6 citation statements)

References 17 publications

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“…Most importantly, the model allows segregating the effect of statistical noises from systematic sources of inefficiency. Besides, the technique is consistent with most of the agricultural production efficiency studies [9][10][11].…”

Section: N=supporting

confidence: 65%

Production Efficiency of Sesame in Selamago District of South Omo Zone, Southern Ethiopia

Mekonnen

Geta²,

Legesse

2015

Current Research in Agricultural Sciences

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Keywords: Technical efficiency, Allocative efficiency, Stochastic production frontier, Tobit, Selamago, Sesame. 2015 Vol. 2, No. 1, pp. 8-21 ISSN(e): 2312-6418 ISSN(p): 2313-3716 DOI: 10.18488/journal.68/2015.2.1/68.1.8.21 © 2015 Current Research in Agricultural Sciences Contribution/ OriginalityIn this paper the production efficiency of farmers in the study area and the factors that affect their efficiency in sesame production are identified. This study can be used as a reference for fellow researchers who are interested in the area of production economics specifically that deals with production efficiency.

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Section: N=supporting

confidence: 65%

Production Efficiency of Sesame in Selamago District of South Omo Zone, Southern Ethiopia

Mekonnen

Geta²,

Legesse

2015

Current Research in Agricultural Sciences

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“…Allocative and economic efficiency was analyzed using the stochastic frontier cost function approach. Some researchers use the stochastic frontier cost function approach to measure allocative and economic efficiency, including Ogundari and Ojo (2006), Kahinde and Awoyemi (2009), Revoredo et al (2009). The model can estimate the level of economic efficiency of the whole farming.…”

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confidence: 99%

Measurement of Economic Efficiency of Upland Rice Farming in Different Land Ownership Status in Mausambi Village, Maurole Sub-District, Ende Regency

Lanamana

2019

J. AGRISEP: Kaj. Mas. Sos. Ek. Pert. n. Agr.

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This research is to: (1) analyze the level of economic efficiency of upland rice farming in different land ownership status and (2) analyze the factors that influence the economic efficiency of upland rice farming in different land ownership status. The data analysis method used was the production function approach and stochastic frontier cost function. The analysis results show that seed and fertilizer price variables have a significant impact on the 99% significance level and are positive. Labor wage has no significant impact on production costs and is negative. Production variable has a significant impact on the 99% significance level. Landowner and farmhand dummy variables have a 99% significant level and are positive. It can be interpreted that the production costs in both the landowner and farmhand land ownership status are higher than in the pawn taker land ownership status. The average level of economic efficiency of the landowner is higher than the farmhand and pawn taker ownership status. Factors that influence the economic efficiency of upland rice farming include: age, duration of farming, frequency of obtaining information, membership of farmer groups, other sources of income, landowner dummy and farmhand dummy. Keywords: Ende, Economic Efficiency, Upland Rice Farming.

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“…The following regression equationsare obtained for the whole Industrial Sector of Bangladesh. (N=979): (5) For the Garments Industry (N=304) the equation is, (6) For the Textiles (N=253) the equation is,…”

Section: Resultsmentioning

confidence: 99%

A Test for the Cobb Douglas Production Function in Manufacturing Sector: The Case of Bangladesh

Husain¹

2016

IJBER

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The manufacturing sector has been a major driver of GDP growth in Bangladesh. The sector recorded an impressive average annual growth during last a couple of decades. This study is an attempt to test empirically the Cobb-Douglas production function for manufacturing sector of Bangladesh. Data of total value of output, total asset, total liabilities, number of permanent workers etc. of about six major types of industries including Garments, Textiles, Food & Food Processing, Leather & Leather Products, Electronics and Chemicals & Pharmaceuticals have been used. Researchers use total value of output as Y, total liabilities as K, and number of permanent workers (including officials managers, personal) as L. Study finds that coefficient for K and L are 0.49 and 0.51 respectively for entire manufacturing sector. In case of Garments, coefficient for K is 0.30 and L is 0.61 implying that labor is more productive than capital. The statement is also true for Textile sector and Leather & leather products. Capital is, on other hand, more productive than labor in Food & food processing industries, Electronics, Chemicals & Pharmaceuticals sectors. The coefficients are significant and do not suffer from MC and also not from Autocorrelation. To correct heteroscedasticity, WLS method (weighted Least Square) has been adopted. Findings reveal that Cobb-Douglas production function is applicable and exhibits increasing returns to scale in the context of manufacturing sector of Bangladesh.

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Analysis of Economic Efficiency in Sawnwood Production in Southwest Nigeria

Cited by 7 publications

References 17 publications

Production Efficiency of Sesame in Selamago District of South Omo Zone, Southern Ethiopia

Production Efficiency of Sesame in Selamago District of South Omo Zone, Southern Ethiopia

Measurement of Economic Efficiency of Upland Rice Farming in Different Land Ownership Status in Mausambi Village, Maurole Sub-District, Ende Regency

A Test for the Cobb Douglas Production Function in Manufacturing Sector: The Case of Bangladesh

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