Paper Title
DEMAND ESTIMATION OF THE PLANT - BASED FOODS OF THE STUDENTS

Abstract
Abstract - The purpose of this study was to assess the estimated demand of the plant – based foods behaviors of students and to find out the factors : personal factors, knowledge scores of effect of plant based to mitigating climate change,attitudes scores towards benefit of plant based foods as well as prospect student demand of studentsfrom Facultty of Economics and Faculty of Business AdministrationSrinakarinwirot University Bangkok Thailand. This study was a cross sectional survey. Representative samples of 68undergraduate student were included in the study. Logistic regression was used for analysis. Results were as follows :the results of a logistic regression analysis aimed at understanding the factors influencing the demand for plant-based foods. The final logistic regression model was obtained. The dataset comprises 68 observations, providing a robust basis for analysis.The analysis delves into the coefficients and their statistical significance, shedding light on the key drivers of plant-based food demand.Knowledge_Scores, with a coefficient of 0.2107 and a p-value of 0.06, shows a nearly statistically significant relationship. A one-unit increase in Knowledge_Scores is associated with a 23% rise in the likelihood of the outcome, emphasizing the importance of knowledge in influencing plant-based food demand.Attitude Scores exhibit a statistically significant relationship with a coefficient of -0.4644 (p = 0.05). A one-unit rise in Attitude Scores is linked to a 38% reduction in the likelihood of the outcome, highlighting the role of attitudes in shaping demand.Monthly_Income demonstrates statistical significance with a coefficient of 0.4433 and a p-value of 0.05. A one-unit increase in Monthly_Income is associated with a 55% rise in the likelihood of the outcome, highlighting the role of income in shaping demand. This analysis highlights the significant influence of Knowledge_Scores, Attitude Scores, and Monthly Income on plant-based food demand. While Gender, Age, Family Member, Religion, and Income Cover expenditures lack statistical significance, their roles in shaping demand patterns should not be disregarded. These findings offer valuable insights for businesses and policymakers seeking to understand and cater to the diverse factors that drive plant-based food demand.This study provides a concise summary of the results and their implications, offering insights into the factors that influence the demand for plant-based foods. Keywords: Planted Based Foods, Logistic regressions, Demand Estimation.