影響多哥農(nóng)業(yè)生產(chǎn)的因素分析
發(fā)布時間:2018-03-03 23:10
本文選題:農(nóng)業(yè)生產(chǎn)力決定因素 切入點:投入品使用 出處:《中國農(nóng)業(yè)科學院》2016年博士論文 論文類型:學位論文
【摘要】:多哥農(nóng)業(yè)生產(chǎn)以小農(nóng)經(jīng)營為主,由于農(nóng)村缺乏必要的基礎設施,農(nóng)業(yè)產(chǎn)出低下,小農(nóng)戶難以獲得信貸支持、現(xiàn)代技術(shù)、農(nóng)資產(chǎn)品,難以有效利用知識和信息資源。作為多哥最主要的糧食作物,玉米種植面積占總糧食種植面積的47%以上,單產(chǎn)很低。同時,作為多哥人主要食用的谷物,玉米具有較大的食用價值和經(jīng)濟價值。由于玉米在多哥經(jīng)濟中具有十分重要的作用,因此研究多哥小農(nóng)戶玉生產(chǎn)力的影響因素十分有必要。本文的研究目的是分析多哥農(nóng)業(yè)生產(chǎn)力的影響因素、農(nóng)戶的社會經(jīng)濟特征對農(nóng)業(yè)投入的影響,以及種子、技術(shù)和道路基礎設施在多哥農(nóng)業(yè)生產(chǎn)中的作用。因此,最突出的問題是:在多哥,哪些因素影響玉米生產(chǎn)力?小農(nóng)戶面臨的主要制約因素是什么?以及哪些相關的政策建議可以提高農(nóng)業(yè)生產(chǎn)力?為了回答這些問題,本論文主要運用柯布-道格拉斯生產(chǎn)函數(shù)分析哪些因素影響了玉米產(chǎn)量以及生產(chǎn)率;運用Probit模型分析這些因素對化肥等農(nóng)業(yè)投入品的影響。本論文在多哥每個區(qū)域抽樣選擇了一些農(nóng)戶進行調(diào)查。2015年,在多哥五大經(jīng)濟區(qū),濱海區(qū)、高原區(qū)、中部區(qū)、卡拉區(qū)和草原區(qū),共有408戶小農(nóng)戶參加了調(diào)查。主要結(jié)論如下:1.收獲面積、農(nóng)戶家庭規(guī)模、化肥投入量對玉米產(chǎn)量有顯著影響。收獲面積每增加1%,玉米產(chǎn)量增加0.99%;農(nóng)戶家庭規(guī)模每擴大1%,玉米產(chǎn)量增加0.05%;化肥投入每提高1%,玉米產(chǎn)量增加0.008%。2.農(nóng)戶所在區(qū)域?qū)τ衩桩a(chǎn)量影響的模型結(jié)果顯示:中部區(qū)顯著正相關。這可能表明,在中部區(qū)每增加1%的農(nóng)民,玉米產(chǎn)量會增加12%。中部地區(qū)玉米產(chǎn)量受旱作天氣影響顯著,通過播種施肥,農(nóng)戶可以快速增加雨季的產(chǎn)量。3.Probit模型結(jié)果顯示,耕地面積、受教育程度、推廣服務和農(nóng)戶的收入對農(nóng)資投入有顯著影響,是顯著正相關。
[Abstract]:Togolese agricultural production is dominated by smallholder farming. Due to the lack of necessary infrastructure in rural areas and the low agricultural output, it is difficult for small farmers to obtain credit support, modern technology and agricultural products. It is difficult to make effective use of knowledge and information resources. As the most important food crop in Togo, corn covers more than 47% of the total food area and yields are very low. At the same time, it is the main food grain for Togolese people. Maize is of great edible and economic value. As corn plays a very important role in the Togolese economy, Therefore, it is necessary to study the influencing factors of Togolese small-scale farmers' jade productivity. The purpose of this paper is to analyze the influencing factors of Togolese agricultural productivity, the influence of farmers' social and economic characteristics on agricultural input, and the seeds. The role of technology and road infrastructure in Togolese agricultural production. Thus, the most prominent question is: what factors affect maize productivity in Togo? What are the main constraints faced by small farmers? And what relevant policy recommendations can improve agricultural productivity? In order to answer these questions, this paper mainly uses Cobb-Douglas production function to analyze which factors affect maize yield and productivity. Probit model is used to analyze the effects of these factors on agricultural inputs such as chemical fertilizers. In this paper, some farmers were selected for investigation in each region of Togo. In 2015, in five major economic zones of Togo, coastal areas, highlands, central regions, A total of 408 smallholder farmers participated in the survey in Kara and grassland areas. The main conclusions are as follows: 1. Harvest area, household size, The amount of chemical fertilizer input has a significant effect on corn yield. For each increase of harvest area, corn yield increases by 0.99; with the increase of household size, the corn yield increases by 0.055.The yield of corn increases by 0.0088.2. for each increase of fertilizer input, the corn yield increases by 0.99. The model results of maize yield effects show that there is a significant positive correlation in the middle region, which may indicate that, For every 1% additional farmers in the central region, corn yield will increase by 12. The drought weather has a significant effect on maize yield in the central region. By sowing and fertilizing, farmers can quickly increase the yield of rainy season. 3. Probit model results show that the cultivated land area, education level, The extension service and farmers' income have significant influence on the input of agricultural material, which is significantly positive correlation.
【學位授予單位】:中國農(nóng)業(yè)科學院
【學位級別】:博士
【學位授予年份】:2016
【分類號】:F344.4
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本文編號:1563096
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