農地價格反應市場供需平衡的結果，亦可透過眾多影響農地價格的因素以觀察市場情形。歸納國內過去關於研究臺灣農地價格的文獻，較少探討法拍市場農地價格，而研究時間點大多位在民國89年農地市場開放前，且鮮少使用政策面的變數。因此本研究探討影響農地法拍價格的因素，並納入農業用地興建農舍最小基地面積限制作為研究變數，以觀察政策管制對於農地法拍價格的影響。進而將樣本分為都市型與農業型鄉鎮，比較影響農地價格各因素在不同型態鄉鎮間之差異。 本研究以法拍市場中民國89至99年間全臺灣已拍定之非都市農地作為研究樣本，透過線性迴歸模型，探討各因素對拍定價格的影響，以及檢視最小基地面積的政策因素對拍定價格影響。由迴歸結果可觀察到在法拍市場中，拍賣底價為迴歸式中較重要因素，而農地產值與農地經營環境對農地拍定價格並無影響，面積限制的政策變數產生了邊際價值，且都市型鄉鎮的邊際價值高於農業型鄉鎮，顯示購買農地欲興建農舍者可能對都市型鄉鎮農地有較高的需求，且都市型鄉鎮中的農地價格受非農用的影響較大。 基於上述，本研究研究結論有下列三點：一、農業生產條件並非農地價格主要影響因素。二、興建農舍最小基地面積限制對農地價格產生正向影響。三、都市型鄉鎮之農地價格受非農用的影響較大 / Farmland price in the market reflects the interaction of supply and demand. We can also observe the market situation through many factors which affect the farmland price. Review of past literature about farmland price in Taiwan suggests that there are few literature addressing the price of foreclosed farmland. Most of the researches were published before the farmland market opened in year 2000 and rarely took account of the policy variables. So this study will discuss the determining factors of farmland price in the foreclosed market, with special attention paid to farmland policy-related variables. The sample is further divided into two groups of urban and agricultural towns in order to compare the differences of the factors affecting farmland price between two groups of towns. In this study, we use the foreclosed farmland of non-urban area from 2000 to 2009 as research sample. Effects of potential price-affecting variables are examined using a linear regression model. The regression results indicate that the auction reserve price is the more important factor, and farming production value and management environment do not affect the price. Minimum lot size for farmhouse construction has a marginal value effect, and its magnitude is larger in urban towns. Additionally, the farmland prices in urban towns are greatly influenced by non-agricultural use. Three research findings are thus arrived based upon our empirical evidence: 1. Agricultural-related variables do not significantly affect farmland price. 2. The minimum lot size of farmhouse has raised the farmland price. 3. The farmland prices in urban towns are greatly influenced by non-agricultural use.

近年來研究台灣農地價格的文獻顯示，都市周圍農地價格有暴漲的情形，靠近都會區的農地價格較高，農地收益無法適當解釋農地價格高漲的現象。至於投機活動對都會地區農地價格的影響為何？此乃本研究動機之所在。 　　本論文係以文獻歸納、訪談調查、統計分析的方式，嘗試探討投機活動對都會地區農地價格的影響，研究目的有三：一、分析影響農地價格的因素。二、分析都會地區農地投機活動對農地價格的作用是否大於都市發展負外部性的影響。三、對於以農地價格作為農地釋出指標之說法的合理性，依分析結果提出看法。 　　研究分析之結論，要述如下： 　　一、分析都會地區影響農地價格的因素，農業生產收益因素已不易解釋都會地區之農地價格。以距離因素來看，農地價格受至最近之都市計畫區發展界線距離顯著的影響。農地投機活動指標變數明顯影響農地價格，且為正向關係，故農地投機活動可能會促使都會地區農地價格的上升。 　　二、農地投機活動對農地價格的影響大於都市發展之負外部性效果。農地價格上漲可能不利於農業經營，因純粹欲農耕而購地者支付高於生產價值之地價，且農業使用的報酬較低，可能不易回收農地價格成本。 　　三、以農地價格作為農地釋放的指標，應斟酌再三。 　　本論文之檢討評估，要點如下： 　　一、農地投機活動之定義宜更明確。 　　二、有擴大樣本數的必要。 　　三、應再考量其他影響都會地區農地價格之可能因素。

農地價格隨著研究立場不同，而具有多元的價格型態，本研究採農業使用的角度，以收益法求取宜蘭縣三星鄉的農地價格，將之與實價登錄成交資料比較，並應用多元迴歸分析影響成交價格與收益價格差距的可能因素。 研究結果發現在民國89年後所新辦的農地重劃地區將增加農地的轉用壓力，且當新辦重劃地區內成交農地臨路寬度愈大，則成交價格與收益價格差距愈發明顯，表示新辦重劃區內道路寬度的設計已超出農用基本需求，而增加農地變更使用的可能，此與農地重劃擴大農場經營之目標相互衝突。但透過公約機制與生產制度面的改良，農業經營專區則可能減少農地的變更使用，進而達到保護農業生產環境的理想。另外，在三星鄉內，農舍的興建將擴大農地價差關係，促使農地轉用價值上升，且影響隨著時間遞嬗日益彰顯，顯示農地已面臨愈來愈高的轉用壓力。 / This study looks at difference between income approach value and transaction price at Sanxing Township, Yilan County. With different point of view, the agricultural land will have diversified value types, such as market value and use value. To begin with, we conduct income approach to determine agricultural land value as pure use value. Then, we compare it with transaction price from government statistics, calculating the gap between income approach values and real selling price. Finally, we apply multiple regression analysis to find price gap influence factors. The empirical model presents special agricultural enterprise zones may reduce agricultural land development pressure, and therefore could protect agricultural production environment. But, when at recent constructed agricultural land readjustment area, agricultural land will face much more development pressure which has violated land consolidation objects. Research also indicates that our land face much more development pressure with evolution of the time.

影響農地價格之因素，隨著市場條件之差異，如土地使用管制或農地政策而有所不同。歸納我國過去有關農地價格研究之文獻，對於東部農地市場之研究較少，且鮮少探討自然景觀因素對於農地價格之影響。對於東部農地價格之研究，可能遺漏重要的影響因素。因此本研究探討影響花蓮縣農地價格之因素，且加入自然景觀作為研究變數，以觀察自然景觀對於花蓮縣農地價格之影響。又農業發展條例於民國89年修正後，准許農民在其自有農地興建農舍。故本研究將農地樣本分為得興建農舍及不得興建農舍之農地，進一步比較自然景觀對農地價格之影響於兩者之間有無差異。由於本研究選取之農地，為其興建之農舍皆得作為民宿使用之樣本，因此，本研究加入衡量市場對於民宿需求之變數，探討市場對於民宿之需求，是否加深自然景觀對於農地價格之影響。 　　本研究以民國101年8月至103年12月花蓮縣非都市農地實價登錄資料作為研究樣本，透過線性迴歸模型，探討包括自然景觀因素在內之各項因素對於花蓮縣農地價格之影響。實證結果觀察到：對於花蓮縣農地市場，農地是否得興建農舍為自然景觀是否會影響農地價格之主因，且自然景觀對於農地價格之影響，受到市場對於民宿之需求而有所差異。基於上述，本研究研究結論如下：一、自然景觀因素影響花蓮「得興建農舍」之農地價格，但不影響「不得興建農舍」之農地價格。二、農舍作為民宿使用機率變高時，將加深自然景觀之價格效果。 / Factors that affect the price of the farmland vary in different market conditions, such as land use regulation or farmland policy. Previous studies on farmland prices is found to have paid little attention to farmland market in eastern Taiwan, and rarely discuss the amenity of natural landscape that might also affect the price of farmland. Lack of studies may lead to ignore the important factors of farmland price in eastern Taiwan. This study discusses the factors that affect the price of farmland in Hualien County, and adds the natural landscape as the independent variables so as to observe how natural landscape affect the farmland price in Hualien County. After Agricultural Development Act amended in 2000, farmers are allowed to construct individual farmhouses on their own farmland. Therefore, we split the data into farmland in which construction of farmhouse is allowed and farmland otherwise. Furthermore, we compare the difference between two types of farmland. Because the farmland where the farmhouses are allowed to construct are also permitted to operate the Bed and Breakfast, we also add the independent variables of the market demand for the Bed and Breakfast. In so doing, we are able to investigate whether the market demand for the Bed and Breakfast increases the natural landscape that affect the price of farmland. We choose the non-urban farmland price registration data from August 2012 to December 2014 in Hualien County. The linear regression model is used to analyze how various factors including natural landscape affect the farmland price in Hualien County. Based on the empirical results, three conclusions are arrived at below: First, factors of natural landscape only affect the price of farmland which allow for construction of farmhouses, but not affect the price of farmland where construction of farmhouses are forbidden. Second, farmhouses that are permitted to operate the Bed and Breakfast will increase the price effect of natural landscape.