Search Result of "Aree Wiboonpongse"

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ที่มา:วิทยาสารเกษตรศาสตร์ สาขา สังคมศาสตร์

หัวเรื่อง:การวิเคราะห์ต้นทุนการผลิตของอุตสาหกรรมสหผลิตภัณฑ์ โดยใช้ Flexible Cost Function

ผู้เขียน:ImgAree Wiboonpongse

สื่อสิ่งพิมพ์:pdf

Abstract

Multiproduct production is so complicated that it is often difficult for researchers to analyse production and cost of individual products using conventional methods and the usual aggregated data. The recent duality theory enables economists to develop such more efficient approaches as Flexible Cost Function (FCF). The translog functional form of FCF was employed by Christensen and Greene and Brown et.al. in their analyses of size efficiency in the U.S. electric power generation and railroad industries, respectively. This paper reviews the concept of multiproduct production, size efficiency, the development and application of FCF to multiproduct production analysis.

Article Info
Kasetsart Journal of Social Sciences -- formerly Kasetsart Journal (Social Sciences), Volume 007, Issue 1, Jan 86 - Jun 86, Page 55 - 61 |  PDF |  Page 

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ที่มา:วิทยาสารเกษตรศาสตร์ สาขา สังคมศาสตร์

หัวเรื่อง:ไม่มีชื่อไทย (ชื่ออังกฤษ : Quantitative Methods for Analysis of Factors Influencing Farmers’ Adoption of Technology.)

ผู้เขียน:ImgAree Wiboonpongse

สื่อสิ่งพิมพ์:pdf

Abstract

A study on factors influencing the adoption of farm innovation aims at understanding of farmers’ socio-economic characteristics, which affect farmers adoption. This paper reviews quantitative methods employed in the recent studies of adoption determinants and compares empirical results of the 6 methods applied to adoption of grass strip in integrated soil water conservation cropping systems in Mae Hong Son highlands, include ; (i) Spearman rank correlation (ii) chi-square test (iii) A model with grass strip area as dependent variable using the least square (LS) technique (iv) A logit model of grass strip ratio to total land holding of adopters with LS technique (v) A binary dependent model using LS technique and (vi) Finally Logit model for the binary dependent variable with maximum likelihood estimation. Since the tests of the independence of nonparametric methods rest on the impact of a given factor and ignore the influence of the others, their results are not all consistent with obtained by parametric methods. The techniques applied to models (iii), (iv) and (vi) are considered appropriate as the tests indicated that the specified models explain correctly. Nevertheless, the choice of the model depends on the information available for the dependent variable and its implication. The method (v) is not acceptable theoretically as the predicted value possibly goes beyond 0 and 1 and moreover, accuracy of prediction is only 77% as compare to 90% obtained from likelihood estimation.

Article Info
Kasetsart Journal of Social Sciences -- formerly Kasetsart Journal (Social Sciences), Volume 016, Issue 1, Jan 95 - Jun 95, Page 53 - 65 |  PDF |  Page 

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ที่มา:วิทยาสารเกษตรศาสตร์ สาขา สังคมศาสตร์

หัวเรื่อง:ไม่มีชื่อไทย (ชื่ออังกฤษ : Development of a High-Value Agricultural Product Cluster to Increase Income for Rural Farmers: Case Study of Bresse Chicken Cluster in Northern Thailand)

ผู้เขียน:ImgPuttawan Khuntonthong, ImgNopasit Chakpitak, ImgGilles Neubert, ImgAree Wiboonpongse

สื่อสิ่งพิมพ์:pdf

Abstract

The aim of this paper was to reveal the success factors of a high-value crop cluster which provides additional income to farmers in remote areas. The Bresse chicken cluster managed by the Royal Project Foundation was selected as a case study due to its high potential. The actors, their roles and benefits as well as the performance of the cluster to help farmers overcome constraints and enhance abilities to compete in the market were investigated. Data were collected from the reports of the Royal Project Foundation and from stakeholders by using questionnaires and semi-structured interviews. The results from the study showed that the outputs of the cluster are not just an increase in farmers’ income, but also the achievement of capabilities. The major success factors for long term clustering are the presence of a strong functioning network and partnership among the stakeholders. These result from the platform opening for vision sharing and research being conducted by the stakeholders, the personality traits and competencies of a cluster engineer, and the equality of benefits provided to stakeholders involved in the cluster. Continual knowledge support from academic organizations as well as good functioning of knowledge sharing in the cluster are also key success factors.

Article Info
Kasetsart Journal of Social Sciences -- formerly Kasetsart Journal (Social Sciences), Volume 034, Issue 3, Sep 13 - Dec 13, Page 550 - 561 |  PDF |  Page