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Author: search.filters.author.Mankeb, PanyaSubject: search.filters.subject.Thailand

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    Do behavioral and socio-demographic factors determine consumers’ purchase intention towards traceable organic rice? Evidence from Thailand
    (2022-06-01)
    Cavite, Harry Jay
    ;
    Mankeb, Panya
    ;
    Kerdsriserm, Chanhathai
    ;
    Joedsak, Athiwat
    ;
    Direksri, Nuttanan
    Despite the increased popularity of organic rice in Thailand’s domestic market, little is known about how consumers’ behavioral and socio-demographic factors predict their purchase intention. Grounded on the theory of planned behavior (TPB), this research investigates consumers’ purchase intention for traceable organic rice. Responses were collected from 243 organic rice consumers in a farmers’ market in Chachoengsao Province, Thailand, following a convenience sampling approach. Data were analyzed using factor analysis, multiple linear regression, and one-way ANOVA to determine the factors predicting consumers’ purchase intention and identify any differences with respect to socio-demographic variables. Results reveal that subjective norms, perceived behavioral control, health consciousness, and knowledge of product traceability significantly predict consumers’ intention to purchase traceable organic rice. However, socio-demographic variables — age, income, and education, were found to have no impact on purchase intention. This study’s findings offer theoretical and managerial insights to community enterprises and policymakers to fully understand consumer behavior for organic rice and implement effective marketing strategies and policies.
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    Determinants of productivity and efficiency of okra production for export in Suphan Buri and Nakhon Pathom Provinces, Thailand
    (2020-01-01)
    Katepan, Pimolwan
    ;
    Mekhora, Thamrong
    ;
    Mankeb, Panya
    ;
    Sarutayophat, Teerawat
    Agriculture is the prime source of economic activities, especially in Asia. In the okra export market channels, Japan was a major importer, yet suspended all importation of okra from Thailand, according to the promulgation of the Positive List System. This study aimed to: 1) estimate one particular type of productive efficiency, viz. technical efficiency, in okra production in Thailand's Suphan Buri and Nakhon Pathom Provinces, by using a Cobb-Douglas production function for single okra output and multiple inputs. The analysis applied the Stochastic Production Frontier; 2) investigate the determinants of production efficiency by using Tobit regression. Based on data collected from 222 okra farming households in two provinces, who contracted with private companies to produce okra for export. The results revealed that the average technical efficiency of okra production among the samples in Suphan Buri and Nakhon Pathom Provinces was 81.45%. Furthermore, the results showed that okra growers' gender, age, formal years of schooling, number of family members engaged in okra production, and hired labour had positive relationships with efficiency scores. While years of experience in okra production had a negative effect.
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    Determinants of sustainable efficiency of rice farming in peri-urban area, evidence from Ladkrabang district, Bangkok, Thailand
    (2018-01-01)
    Fakkhong, Sasima
    ;
    Suwanmaneepong, Suneeporn
    ;
    Mankeb, Panya
    Growing urbanisation, dwindling land for rice cultivation, and declining numbers of rice farmers have been major concerns. Yet, many local people living in peri-urban areas still produce rice for their livelihood. This study aimed to estimate the sustainable efficiency (SE) of the rice farmers in the peri-urban areas and investigate the determinants of SE by employing a multiple linear regression methods. Based on data collected from 230 rice farmers in the Ladkrabang district, the peri-urban area located to the East of Bangkok, Thailand, this study revealed that, on average, the SE of sample rice farmers was 0.84. The large-sized farmer had a higher average SE than small-sized and medium-sized ones. The results of regression analysis indicated having heirs working in farm was the most effective variable on the SE of rice farming, followed by participation in agricultural training programs, formal years of schooling, the number of family labour, and subsidies.