Browsing by Author "Chaiyamart, Pattaraphongpan"

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    The Importance of Socio-Economic Primary and Secondary Images for Thailand's Tourism: A Case Study of Swedish Tourists
    (International Journal of Social Science Studies, 2021-05) Chaiyamart, Pattaraphongpan
    Swedish tourists constitute one of the most important markets for Thailand’s tourism industry. On average, Swedish tourists stay in Thailand 9 days and spend 101 euros per day. Their image of Thailand plays a significant role in deciding to visit or revisit Thailand. The socio-economic primary image consists of five factors: safety and security, feeling at home during their visit to Thailand, money value, the trip exceeding their expectation, and the ease of making trip arrangements. These are crucial factors that determine the level of satisfaction tourists experience during their trip. These factors also help determine whether the tourists visit Thailand again in the future.
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    Marginal rate of substitution of multidimensional well-being for affected residents of the dam, Pak Mun Dam
    (International Journal of Social Science Studies, 2021-05-01) Chaiyamart, Pattaraphongpan; Gartner, william
    The marginal rate of substitution shows that negatively affected residents of Pak Mun Dam are willing to trade three units of economic well-being to gain one more unit of social well-being. Marginal rate of substitution (MRS) provides important information to the government regarding such trade-offs. Given the limited budget and resources, the optimal point of the combination of these dimensions of well-being should be determined in order to provide better strategy and policy to improve the conditions for residents affected by the dam’s construction. Structural Equation Model (SEM) was used to find a standardized estimate of each dimension and used it for MRS calculation.
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    Multidimensional well-being of residents affected by the Pak Mun Dam, Thailand
    (SSBFNET, 2021-03) Chaiyamart, Pattaraphongpan
    Understanding the effects on the overall well-being of the communities affected by the Pak Mun Dam construction would fill in the gaps in existing knowledge and facilitate a deeper discussion of the factors that impact overall wellbeing. The Pak Mun Dam was finished in 1994 and from that point on there have been changes affecting local residents. This study attempts to understand the impact of those changes from a well-being perspective using primary data collected from residents in villages close to the dam site. Structural Equation Model (SEM) was a method for this research analysis. Results from a structural model show that social and economic well-being are important factors that impact the overall well-being of the affected residents from the Pak Mun Dam area. Furthermore, we discuss how information from 20 items within seven dimensions of the well-being measurement model can be used to develop more efficient strategies and policies to increase well-being capital.
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    Pak Mun Dam and its Impact on Local Residents of Ubon Ratchathani Province, Thailand: A Quantitative Analysis
    (2020-11) Chaiyamart, Pattaraphongpan
    Many dams have been built along the Mae Khong River, bringing up many issues, including that of sustainable livelihood. Pak Mun Dam is one of the most controversial dams in Thailand, and its issues have continued to today. While many studies on dams have been conducted, this is the first quantitative study, using the Structural Equation Model to understand the eight dimensions of well-being. The survey on which this dissertation is based collected 250 pieces of data for the impacted community and 250 pieces of data for the non-impacted community of the Khong Jiam district in the Ubon Ratchathani province of Thailand. The eight dimensions of well-being are based on concepts and theories about achieving sustainable livelihoods. Within these eight dimensions, there are 24 out of 40 items that have a lower mean for the impacted community, in comparison to the non-impacted community, which is statistically significant. Based on the sustainable livelihood framework model, institutions (in this case, the government) play the role of providing strategies to increase well-being assets directly in terms of overall well-being and through dimensions of well-being. In this model, the government’s interventions are public services, quality of job training, and the satisfaction level for the Pak Mun Dam solution. The empirical results of the first order factors show that there are seven factors that are statistically included as first order factors with twenty items. These twenty items represent the factors of economics, community, environment, politics, working conditions, culture, and family. Second order factors were included in the structural model as independent variables in order to predict the dependent variable of overall well-being. Economic well-being and social well-being are statistically significant factors for predicting overall well-being; they can also be mediators of the model. The results from the structural model show that there is full mediation within this model, which means that the government’s impact on overall well-being can only be explained through increasing economic and social well-being. The satisfaction level of Pak Mun Dam’s government solution would impact overall well-being through the mediation of economic well-. The government’s quality of job training and the provision of government services would impact overall well-being through social well-being. In addition to the benefit of standardized estimates of economic and social well-being, the institutions can use the twenty items to help specify factors and provide better policy to maintain sustainable livelihoods based on their precise information. The marginal rate of substitution (MRS) result also shows the relationship between economic well-being and social well-being: local community residents would give up more of their economic well-being to gain more social well-being. This shows that their social well-being is a very important factor for their livelihoods. The study is significant for six reasons. First, it is the first quantitative study of the well-being of local residents impacted by the dam; it also provides more complete information and deeper understanding about each dimension of well-being. Second, this study is the first study that combines more dimensions of well-being based on SLF into a single study. Third, it has furthered the work of existing studies with SEM to SLF to investigate the impact of the dam. Fourth, it informs policymakers so that they can provide more suitable policies to achieve sustainable livelihoods. Fifth, the study also adds the MRS concept to understand local residents’ decision-making process on well-being, and it can be used to create the well-being index and trade-off analysis for SLF projects. Last, testing the important of institute with specific needs of local residents would be more efficient for SLF project.
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    Pak Mun Dam’s long term impact on local residents’ livelihood
    (SSBFNET, 2021-05-01) Chaiyamart, Pattaraphongpan; Carlson, stephan; Gartner, william
    Multidimensional well-being is an important method for understanding the social functioning of communities affected by the Pak Mun Dam, 26 years after its construction. This is the first quantitative research on the well-being of these communities. In six of eight well-being dimensions, the more distant communities are faring better than those in close proximity to the dam. Furthermore, 24 of 40 items which represent each dimension have statistically significant lower means in the affected community. Thisresult shows the long-lasting nature of negative effects on communities and without appropriate policy action negative impacts will linger preventing developmental progress from occurring.
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    Well-being capital and government’s intervention to dam’s affected residents: Pak Mun Dam, Thailand
    (SSBFNET, 2021-06-14) Chaiyamart, Pattaraphongpan; Gartner, William; Nelson, Kristen
    Government plays an important role as a well-being capital provider through policies, strategies, or even direct provision to local residents to improve their livelihoods. Pak Mun Dam is one of the most controversial dams in Thailand, and government intervention is needed to solve the issues the dam has created. This study tests the premise that government intervention will impact overall well-being only through structural means by providing strategy and policies related to social and economic well-being. Government training programs and government services will impact over all well-being through social well-being. A satisfactory solution to the Pak Mun Dam situation will impact overall well-being through economic well-being. In this study a number of items, related to different well-being dimensions, were examined. The findings suggest that appropriate policy must address the four significant items which surfaced in the economic well-being measure and ten items in the social well-being dimension.