Efficiency and technical progress in traditional and modern agriculture: evidence from rice production in China

Xu, Xiaosong; Jeffrey, Scott R.

doi:10.1111/j.1574-0862.1998.tb00495.x

Cited by 62 publications

(46 citation statements)

References 21 publications

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“…In other words, the discrepancy between actual (observed) output and the maximum (frontier predicted) output in crop farms in Rivers State, Nigeria was primarily due to factors that were within farmers control. The Lambada ( ) result obtained in crude oil polluted crop farms was close to earlier results of Xu and Jeffrey (1998) who had 2.117; Bagi (1984) had  = 2.438. Gamma () which is the measure of variance of output from the frontier attributed to efficiency was 0.863 in crude oil polluted crop farms and 0.999 in non-polluted crop farms.…”

Section: Interaction Across Technology Variables (S Tt )supporting

confidence: 84%

An economic analysis of crude oil pollution effects on crop farms in Rivers State, Nigeria

Ojimba¹,

Akintola²,

Anyanwu³

et al. 2014

J. Dev. Agric. Econ.

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This study researched on crude oil pollution effects on crop farms in Rivers State, Nigeria using stochastic translog production function. Data were collected in the state, using multi-stage sampling technique. A total of 296 structured questionnaires retrieved from farmers in crude oil polluted and nonpolluted areas of the state were used. Stochastic translog production interaction between land and heavy, medium and light oil spillages resulted in crops output reduction by 0.255, 1.257 and 1.027 units, respectively. Interaction across heavy, medium and light oil spillages and fertilizers usage indicated farm crops output decrease by 0.805, 0.586 and 0.729 units, respectively. This study therefore concluded that crude oil pollution on crops farms reduced crops output significantly, hence detrimental to crop production in Rivers State, Nigeria.

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Section: Interaction Across Technology Variables (S Tt )supporting

confidence: 84%

An economic analysis of crude oil pollution effects on crop farms in Rivers State, Nigeria

Ojimba¹,

Akintola²,

Anyanwu³

et al. 2014

J. Dev. Agric. Econ.

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“…Empirical studies of productive efficiency have used a variety of approaches in modeling frontier production functions. Examples of such approaches include: parametric versus nonparametric; and deterministic versus stochastic methods [9], so the measurement of production frontier and efficiency can be classified into two groups:…”

Section: A Methodological Framework For Efficiency Productionmentioning

confidence: 99%

Analysis Efficiency Production and Strategies of Small-Medium Scale Enterprises

Ruslan¹

2016

Proceedings of the 2016 Global Conference on Business, Management and Entrepreneurship

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This research was aimed to analyze the factors that affect the level of production and efficient use of production factors on small and medium scale enterprises (SMEs), and to identify the internal and external factor to find strategic model alternative that can be applied by small and medium scale enterprises (SMEs) to develop their business. To achieve the objectives, we estimate the frontier production model to obtain technical efficiency with technical inefficiency determinants model. In this study, we adopt the translog production model in obtaining the technical efficiency scores and the linear technical inefficiency model to determine factors affecting the firms' inefficiency level and to find some strategic model used SWOT analysis. This study use survey and interview questionnaire technique which contain a series of questions for SMEs. Results showed that most variables, have signs as expected and most significant. The average level of technical efficiency (TE) for SMEs are 0.7832. Several economic factors that significantly affect technical inefficiency includes are quantity of labor, value of fixed asset, and for TE are the ratio of research and development expenditures to total expenditures of enterprises; ratio of information and communication technology and telecommunication expenditure; ratio of training expenses, but ratio of employees with education levels not significant. For strategis with SWOT analysis approach, the result indicated that SME's which have big potential to develop is ST strategy. According to this strategy, SME's should carry out product diversification by using technology, improve quality of product, and cooperate with suppliers to get supply raw material

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“…As a stochastic frontier approach (SFA) requires prior identification of the functional form, Cobb-Douglas production function was selected for this study due to its selfduality (Xu and Jeffrey 1998). Otherwise, as argued by (Alene and Hassan 2006), due to little or no input price variation across farms in Ethiopia, any econometric estimation of a cost function is very difficult.…”

Section: Stochastic Production Frontier Specificationmentioning

confidence: 99%

Efficiency, Yield Gaps, and Profitability of Potato (Solanum Tuberosum) Production in Kombolcha District, Oromia National Regional State, Ethiopia

Mezgebo

Teferi

Teklay

et al. 2019

ASD

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The study assessed potato production efficiency using the stochastic frontier production function. The study also used descriptive statistics to analyze the data. A sample of 120 potato farmers was selected using multistage random sampling techniques. The results showed that farmers used inputs like land, labor, seed, NPS (Nitrogen, Phosphorus, and Sulfur) and Urea fertilizers to produce potato. On average, these farmers were not economically efficient in producing the crop. The average technical, economic and allocative efficiencies were 91%, 46% and 51%, which meant that the average inefficiency appeared 9%, 54%, and 49% respectively. The result also showed that 18.14 quintals per hectare of yields was lost due to inefficiency. Socio-economic and institutional factors determined efficiency scores. The results suggested that policy maker needs to consider these factors affecting efficiency scores.

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Efficiency and technical progress in traditional and modern agriculture: evidence from rice production in China

Cited by 62 publications

References 21 publications

An economic analysis of crude oil pollution effects on crop farms in Rivers State, Nigeria

An economic analysis of crude oil pollution effects on crop farms in Rivers State, Nigeria

Analysis Efficiency Production and Strategies of Small-Medium Scale Enterprises

Efficiency, Yield Gaps, and Profitability of Potato (Solanum Tuberosum) Production in Kombolcha District, Oromia National Regional State, Ethiopia

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