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  • 學位論文

影響造林獎勵計畫因素之探討─2005年林業普查資料之應用

A Study of Factors Affecting Forest Owner Participating Afforestation Award Plan─The Use of Forestry Census Data

指導教授 : 鄭欽龍

摘要


農林漁牧業普查是政府的重要基本國勢調查之一,自民國45年首次創辦後,已建立每隔五年舉辦一次之規定,而林業普查至79年始自農業普查獨立出,並與農林漁牧業普查同時進行。2005年政府編列2億5000萬元預算來進行農林漁牧業普查,足見政府對農林漁牧業普查之重視。惟調查台灣林業政策之研究,發現竟鮮少有學者對林業普查資料庫作深入調查與分析。故本研究利用2005年之林業普查資料庫,對台灣六萬餘家林戶使用羅吉斯迴歸分析法,以及對三百餘個鄉鎮進行迴歸分析法,研究全台灣林戶或鄉鎮參加造林獎勵計畫之因素。 以林戶為單位之結果顯示,有利於林主參加造林獎勵計畫的因素為:高齡、高教育程度、有自營農牧業、屬原住民鄉、該縣市薪資水準較低、勞動人數較多、林地面積大、自有林地面積比例高、竹林面積比例低、以及其他林業收入低。而以鄉鎮為單位之結果顯示,有利於參加造林獎勵計畫比例的因素為:男性比例較高、屬原住民鄉、地區北部之「市、鎮、區」、中部及南部之「鄉」地區、勞動人數較多、林地面積大、自有林地面積比例高、竹林面積比例低以及其他林業收入低。 整體而言,兩統計方法具一致性,此結果顯示研究相同資料的結論,不會因研究方法的差異而有所不同。

並列摘要


Agricultural, Forestry, Fishery and Husbandry Census (AFFHC) which has been held every 5 years since being established in 1956 is one of the important Basic National Census and Survey. Forestry Census has been conducted separately from other census which has been carried out at the same time since 1990. In 2005, the government drew up a 250- million NT budget for AFFHC; this shows the importance that the Government has placed on the census. However, an investigation of Taiwan forestry policy research found out only a few scholars use the database of Forestry census for further research and analysis. Therefore this study using the database of Forestry census in 2005 on more than 60,000 forest owners use logistic regression, and more than three hundred rural use regression, research on the factors that Taiwan’s forest owner or town participating afforestation award. Based on forest owner as units of results show that factors that are in favor of forest owner participate in afforestation award: elders, high education level, an aboriginal village, self-run agriculture and husbandry, lower salary level, sufficient labors, woodland area, higher private woodland area proportion , lower bamboo area ratio, and lower other forestry income. As village in units of results, factors that in favor of participate in afforestation award: higher male ratio, an aboriginal village, northern region with higher urbanization, middle or southern region with lower urbanization, sufficient labors, higher woodland area size,higher private woodland area ratio, lower bamboo area ratio, and lower others forestry income. As a whole, the two statistic methods show consistencies; this result shows that the research of same data will not be different by the statistic methods.

參考文獻


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