近年來,國人從事休閒活動之型態日趨多元,本研究旨在探究結合休閒旅遊與農業之休閒農業其收入影響因子。宥於早期文獻鮮少觸及休閒農業收入,故本研究不僅選擇休閒農業收入做為分析對象,更加入不同收入細項併為農業總收入,藉以探討休閒農業之收入狀況。 本研究主要以2015年農業普查為研究資料,先利用常態機率模型(Probit)探討參與休閒農業之因素,再以傾向分數配對法(Propensity Score Matching, PSM)非休閒農戶與休閒農戶其經濟表現之決定因素差異。並進一步將休閒農戶之觀光農園、農村民宿及農村餐廳等各經營型態利用不同方法配對後,予以比較。研究結果顯示,各經營型態休閒農戶之收入均較非休閒農戶顯著提升。
The government have promoted agritourism since 1989. About 30 years of development, there is lack of consistent and systematic analysis on the profitability of agritourism business. Therefore, this research tried to collect the data from Agricultural, Forestry, Fishery and Husbandry Census (AFFHC) and apply Propensity Score Matching (PSM) approach developed by Rosenbaum and Rubin (1983) to reveal the important and effective factors on profitability of agritourism farms. The PSM approach can avoid the self-selection effects and control the inherent differences among individuals. The study is based on 2015 AFFHC data and uses the probit model to explore the factors influencing the agritourism income under PSM framework by comparing with non-Agritourism farms. The results show that different business types of agritourism, for instance, tourist farms, countryside lodgings, countryside restaurants do significantly enhance farmers’ incomes by various pairing methods.