GSEDA: Dissertations

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The development of the structural equation model of factors affecting success for coastal erosion management at the upper gulf of Thailand
Supasit Kongdee; Pakpong Pochanart (National Institute of Development Administration, 2020)
The research aims to 1) study direct and indirect effects of factors affecting the success in coastal erosion management in the upper Gulf of Thailand, and 2) develop and test the congruence of the measurement model and the structural equation model of factors affecting the success in coastal erosion management in the upper Gulf of Thailand with empirical data. The conduction of research was divided into two stages. The first stage was qualitative research through 1) document analysis and 2) in-depth interview. The second stage was quantitative research by survey questionnaires, a total of 420 samples. Data were analyzed by descriptive and inferential statistics, including the analysis of the structural equation model (SEM). The results of this study showed that 1) factors relating to policies, strategic plans, and laws have a positive direct effect on the integrated coastal zone management of coastal erosion and people’s participation, but has no statistically significant effect on success in coastal erosion management. The integrated coastal zone management of coastal erosion and people’s participation has a positive direct effect on the success of coastal erosion management. For indirect effects, the success in coastal erosion management factor is indirectly influenced by policies, strategic plans, and laws through the integrated coastal zone management of coastal erosion and people’s participation. 2) The developed model is found to be congruent with empirical data at a statistical significance level. Therefore, to successfully manage coastal erosion, those involved in coastal erosion management have to adopt sustainable development concepts, maintain the value of the functional structure of the coastal environment, develop maximal economic efficiency, and concern about social equity. This research suggests that 1) the government should encourage people to participate in coastal erosion management while shifting its role from an operator to a facilitator via some mechanisms, which may be applied in various forms, such as community-based management, cooperative management with some motivational measures, or having the private sectors to take parts in management. The enhancement of people’s participation can help people to be well aware of the importance of the coast and stimulate their conscience for conserving and utilizing it worthily and sustainably. 2) It is important to have a mechanism for enabling those involved in coastal erosion management to be knowledgeable and understand the essentials of the integrated coastal zone management of coastal erosion, including having mechanisms to negotiate benefits by changing concepts towards all parties’ benefits to achieve acceptance and cooperation in management, leading to truly integrated coastal zone management of coastal erosion. 3) The government sector must empower local personnel to be able to implement management plans, including regulating and monitoring coastal areas effectively.
Analysis and spatial application of human security indicators in perspectives of sustainable development
Thannachai Erawan; Chamlong Poboon (National Institute of Development Administration, 2020)
This study aimed to analyze the implications of human security indicators and sustainable development, in perspectives of economic, social, and environmental aspects for investigating development opportunities in Thailand, focusing on the central west region. The Human Achievement Index (HAI) from the National Economic and Social Development Board (NESDB) was applied as a based case of human security indicators for a mixed-method rescarch in this study. The data collection was conducted by a purposive sampling method via the Delphi technique, which 18 participants wer nvited to deliver their opinions as the panelists. After that, the significant indicators were integrated with the spatial application to verity development opportunities further. This analysis applied various statistical measurements, including Mean, Median, Mode, and Interquartile to pursue central tendency and implication levels of variable relationships. The findings expressed a series of implications, which human security affected to sustainable development, for instance, the top three rankings of significant indicators in each perspective could be ordered, as follows: 1) economie security--family income, consuming debt, and poverty rate. 2) social security--unemplovment rate, social insurance, and high school and vocational training opportunity, and 3) environmental security--serviceable main road, greenhouse emission rate, and house and land owner, respectively. The study also derived various indicators from the panelists via the Delphi technique, for example, sufficieney economic village, drug-traflicking case, immigration rate, medical personnel rute, and air cuality index. Furthermore. the panelists contribute some recommendations for further study, including ecological and creative tourism, local business mechanism, smart city, empirical indicator, multi-dimensions of social and environmental issues. Nevertheless, the panelists also suggested that the political vote rate in the year 2016 should be dismissed from the HAL
Community-based strategic environmental assessment for Mae Suai Basin management plan in response to emergency caused by Mae Suai Dam failure
Chayathat Niamsawaeng; Chamlong Poboon (National Institute of Development Administration, 2019)
This research aimed to study and find out the ways for community-based disaster risk management from flash flood caused by failure of Mae Suai Dam located in Chaingrai Province. This study adopted the qualitative approaches of action research including group interview, in-depth interview focus group discussion and workshop with 60 key informants from 6 Mae Suai communities consisting of local leaders, local wisdoms, community committees, and leaders of community organizations. The data were collected for 2 years (2014-2016) and analyzed by content analysis. The results showed that there were 3 stages of flash flood disaster risk management: 1) preparedness before disaster event, 2) encountering disaster event and 3) revival after disaster event. Preparedness comprised housing management and community organization, water resource management, databased of disaster risk group development and warning system development. Encountering disaster included the determination of migration routes, safety areas and shelter areas. Moreover, crisis communication procedures, coordination of assistance from agencies in the neighborhood for example Chiang Rai Disaster Prevention and Mitigation Office, Mae Suai Hospital, 37th Army District and mass media were determined. Finally, the revival after the disaster focused on rehabilitation of agricultural area and restoration of houses by skilled local people
Air pollution characteristics in Bangkok and PM2.5 emission in on-road transport sector for control policy implications
Labhatrada Saohasakul; Pakpong Pochanart (National Institute of Development Administration, 2022)
In Thailand, the air pollution situation is one of the severe environmental issues. Particularly, the major sources of PM2.5 in Thailand are normally caused by forest fire, biomass open burning, and vehicles. Bangkok, where is the capital city of Thailand, has faced the severe PM2.5 episode. According to the Pollution Control Department (PCD) annual reports, they revealed that the main causes of PM2.5 highly come from transportation and open burning, respectively. Thus, this study focused on the PM2.5 air quality in on-road transport sector in Bangkok by using Emission Inventory (EI) tool to identify the distinct source of vehicle types and fuels associated PM2.5 portions. The main aim is to establish the database of PM2.5 from on-road transport sector in Bangkok during 2010 to 2019. The types of vehicles were considered into seven types based on Department of Land and Transport that consist of personal cars, motorcycles, vans, public pick-up transport, buses, trucks, pick-ups, and tuk-tuk. The results showed that the largest vehicle which contributed to the high level of PM2.5 emission was trucks with the use of Pre-Euro diesel engines had the portion of emission up to 49%. Followed by Pickups with Pre-Euro diesel engines which had 38% of PM2.5 emission. However, to implement the policy for reducing PM2.5 concentration, the prediction of PM2.5 concentration in ambient air quality need to be considered. Thus, the relationship between PM2.5 and factor affecting PM2.5 concentration were correlated to estimate future PM2.5 prediction in Bangkok. Two models were developed in different variables by using the data of 2017 to 2019. The results demonstrated that the performance of PM2.5 model prediction in this study had high correlation with R2 0.84 and 0.86 for Model I and Model II, respectively. In addition, to verify the concentration of PM2.5 prediction in this section box model was applied. Finally, the implication of PM2.5 reduction policy were recommended based on the results of major sources of on-road PM2.5 emission and the future emission control standards for the next ten-years (2020-2030).
A study of the model of smart farming in urban community
Eakgalak Kanjananiyom; Wisakha Phoochinda (National Institute of Development Administration, 2023)
The objectives of this dissertation are 1) to study Smart Farming in urban community including problems and obstacles, 2) to analyze factors affecting the success of Smart Farming in urban community, and 3) to present a model of a sustainable Smart Farming of urban community. This is qualitative study consisted of interviews with experts and relevant agencies on smart farming in urban community: government agencies, state enterprises, public organizations, educational institutes, and private business sector. Smart Farming survey, 10 case studies, selected from farmers who are qualified as Smart Farming according to the criteria of the Ministry of Agriculture and Cooperatives. The data were analyzed for common variables by selecting and extracting duplicate factors for analysis using CIPPI Model and 10 case studies of Smart Farmers to share their opinions and suggestions to create a model and test the model to present a sustainable Smart Farming model of urban agriculture. The findings reveal that Smart Farming in urban community of 10 case studies of smart farmers consisting of having knowledge on, having marketing about production information to make decisions, having awareness of product quality and consumer safety, having social and environmental responsibility, and having pride in being a farmer. In terms of factors affecting the success of Smart Farming, it consists of commitment and determination, ability to use it devices, ability to plan marketing and online marketing, training attendance for additional knowledge, training attendance for additional knowledge, recording, income-expenditure accounting, sufficiency economy farming, organic farming, and integrated farming, support from the public, business, and private sectors, knowledge of farming from ancestors, output certified with G.A.P. standard and forming of farmer groups for joint farming practice. The model of Sustainable Smart Farming includes for example personnel: Knowledge and advanced technology of smart farming should be developed, study tours of the smart farming prototype should be organized, as well as online meetings. Planning: Production planning in line with seasons and market demands of customers and consumers, the period where there are a lot of insects and pests must be avoided. Income: Focus on marketing and online marketing that places importance on standard and safe production process. CSR: Sustainable production process should be supported with focus on quality goods, least impact on the environment, especially efficient resource management such as optimal resource utilization, guideline to reuse waste in line with sustainable development, CSR, ethical management both in and outside the farm.
Green business model of biomass very small power producers
Paron Vongchan; Chutarat Chompunth (National Institute of Development Administration, 2022)
This research aimed to study the green business guidelines from case studies of successful biomass energy businesses, the community impact from biomass energy business, and construct the Green Business Model of Biomass Very Small Power Producers (BVSPP). The methodology consisted of the mixed-methods sequential design by comparison with the findings of the study results from different information sources such as four case studies of successful biomass energy businesses, impact on communities living within the three kms radius of the biomass power plants, assessment results of the (Draft) Green Business Model of BVSPP from nine assessors, as well as recommendations from the key informants. Then, analyzing the data by comparing the study results from three different sources to confirm the Green Business Model of BVSPP. The findings revealed that the concept of green business model of BVSPP consisted of four key aspects namely 1) Stakeholders aspect including BVSPP, Communities, Government, and NGOs 2) Sustainability management aspect including economic management, social management, and environmental management 3) Effectiveness aspect including Social Return on Investment (SROI) and 4) Learning and growth aspect including training/learning and innovation/technology. Biomass Very Small Power Producers could deploy the concept of this model for enhancing the performance of the biomass power plant business operation to generate SROI for all stakeholders in the biomass energy supply chain.

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