แจ้งเอกสารไม่ครบถ้วน, ไม่ตรงกับชื่อเรื่อง หรือมีข้อผิดพลาดเกี่ยวกับเอกสาร ติดต่อที่นี่ ==>
หากไม่มีอีเมลผู้รับให้กรอก thailis-noc@uni.net.th
หากไม่มีอีเมลผู้รับให้กรอก thailis-noc@uni.net.th
Sasarose Jaijit. Impact assessment of rice research expenditure using simultaneous equation modeling and research expenditure allocation for rice R&D studies in Thailand. Doctoral Degree(Industrial Engineering). Kasetsart University. Office of the University Library. : Kasetsart University, 2018.
Impact assessment of rice research expenditure using simultaneous equation modeling and research expenditure allocation for rice R&D studies in Thailand
Name: Sasarose Jaijit
Classification :.LCCS: QA195
LCSH:
Equations, Simultaneous
LCSH:
Econometric models
Abstract:
This thesis explores the economic, social and environmental impact of Thai rice research expenditure (categorized as breeding, production and processing expenditures) during 20082015, using the simultaneous equation modeling technique. The results show that production-research expenditure is the most explicit to reduce the amount of nitrogen fertilizer usage (total effect = -1.23), while breeding-research expenditure is the most explicit in terms of increasing farmers economic status from planting rice (indirect effects to farmers income = 0.52 and to number of farmer households with debt = -0.87). Processing expenditure seems to be the least effective spending among the three types (total effect to farmers income = 0.16, and to number of farmer households with debt = 0.29). Moreover, we use the nonlinear programming technique to explore rice research expenditure allocation among the three main research types for maximizing researchs benefits. The optimal research expenditure allocation depends on the success probability of the research studies and economic returns (i.e., NPV, BCR, and IRR). The success probabilities are sensitive to the allocation of budget. The results show that when using NPVs as the benefit, breeding research studies should receive an average of 54% of the total budget while production research studies and processing research studies should receive the averages of 34% and 12%, respectively. When using BCRs as the benefit, breeding research studies should receive an average of 39% of the total budget while production research studies and processing research studies should receive the averages of 42% and 20%, respectively. When using IRRs as the benefit, breeding research studies should receive an average of 23% of the total budget while production research studies and processing research studies should receive the averages of 36% and 41%, respectively.
Kasetsart University. Office of the University Library
Address:
Bangkok
Email:
tdckulib@ku.ac.th
Name: Juta Pichitlamken
Role:
Thesis Advisor
Name: Naraphorn Paoprasert
Role:
Thesis CO-Advisor
Created:
2018
Modified:
2025-06-29
Issued:
2025-06-29
วิทยานิพนธ์/Thesis
application/pdf
URL: https://www.lib.ku.ac.th/KUthesis/2561/sasarose-jai-all.pdf
CallNumber:
QA195 .S27
eng
Spatial:
Thailand
DegreeName: Doctor of Engineering
Level: Doctoral Degree
Descipline: Industrial Engineering
Grantor: Kasetsart University
©copyrights Kasetsart University
RightsAccess:
ใช้เวลา
0.030627 วินาที
Sasarose Jaijit
| Title | Contributor | Type |
|---|---|---|
| Impact assessment of rice research expenditure using simultaneous equation modeling and research expenditure allocation for rice R&D studies in Thailand
มหาวิทยาลัยเกษตรศาสตร์ Sasarose Jaijit | Juta Pichitlamken Naraphorn Paoprasert | วิทยานิพนธ์/Thesis |
Juta Pichitlamken
Naraphorn Paoprasert