赣南原中央苏区林农经济林经营效率及其影响因素研究

发布时间：2018-04-21 19:48

本文选题：赣南原中央苏区林农 + 经济林　；参考：《江西农业大学》2015年硕士论文

【摘要】：赣南原中央苏区经济发展滞后,农民生活比较贫困,经济林比较优势突出,资源禀赋能力较强,然而明显的资源优势并未高效地转化为经济优势。随着单户林农成为经济林经营主体,其经营效率备受关注。在现有条件下,如何切实提高林农经营效率对于加快资源优势转化为经济优势,促进林农增收、林业经济增长、林区脱贫致富迫在眉睫。以投入产出、生产效率、林业可持续发展为理论基础,以赣南苏区赣州、抚州13个县(市)为研究范围,以200个单户林农为研究对象,首先运用DEA方法测算林农经营经济林效率,分析发现:单户林农经营经济林综合效率(CRS)、纯技术效率(VRS)、规模效率(SCA)较联户、合作、承包经营等低且单户经营逐渐被多元化主体经营所取代,94%的DEA无效样本均处于规模报酬递增(irs)状态,一旦扩大经营规模将增加经营效率;然后运用Tobit回归模型实证分析了影响经营效率的关键性因素,发现影响效率的因素有:经济林年均资本投入量(正向)、经营管理模式(正向)、销售渠道畅通度(正向)、是否接受科技培训(正向)、林地块数(负向)和性别(不显著)、年龄(不显著)、文化程度(不显著)、务农人数占总人口的比重(不显著)、是否加入林业合作社(不显著)。最后为提高经营效率提出了“七高”政策启示:一是高效率,适度扩大经营规模,提高规模经营水平;二是高规模,推进林改配套实施,加大资金投入力度;三是高层次,整合重组经济林地,降低林地分散程度;四是高视角,转变生产经营模式,倡导集约高效经营;五是高平台,实施产供销一条龙,促进销售路径畅通;六是高频率,加强林业科技培训,推动林业科技创新;七是高标准,倡导林业分类管理,兼顾生态经济效益。
[Abstract]:The former Central Soviet region of Gannan lags behind in economic development, the peasants live in poverty, the comparative advantage of economic forest is prominent, and the resource endowment ability is strong, but the obvious resource advantage has not been effectively transformed into economic advantage. With the single-family forest farmers become the main body of economic forest management, its management efficiency has been concerned. Under the existing conditions, how to improve the management efficiency of forest farmers is urgent to speed up the transformation of resource advantages into economic advantages, to promote the increase of forest farmers' income, to increase forestry economy, and to get rid of poverty and become rich in forest areas. Taking input-output, production efficiency and forestry sustainable development as the theoretical basis, taking Ganzhou and 13 counties (cities) in Gannan Su region as the research scope, and taking 200 single-family forest farmers as the research object. Firstly, using DEA method to measure the economic forest efficiency of forest agriculture management, it is found that the comprehensive efficiency of economic forest management in a single household is more efficient than that of a single household, and the technical efficiency is higher than that of a single household, and the scale efficiency is higher than that of a joint household. The invalid sample of DEA, which is low in contract management and gradually replaced by diversified main body operation, is in the state of increasing scale reward. Once the scale of operation is enlarged, the operation efficiency will be increased. Then using Tobit regression model to empirically analyze the key factors that affect the operation efficiency. The factors influencing efficiency were found as follows: average annual capital input of economic forests (positive investment), management mode (positive direction), smooth distribution of sales channels (positive direction), whether or not to receive scientific and technological training (positive position, number of forest plots (negative), and gender) Not significant, age (not significant, education level (not significant), the proportion of agricultural population in the total population (not significant), whether to join the forestry cooperative (not significant). Finally, in order to improve the management efficiency, the paper puts forward the "Seven High" policy enlightenment: first, high efficiency, moderately expanding the scale of operation, raising the level of scale management; second, promoting the implementation of forestry reform on a high scale and increasing the investment of funds; third, at a high level, Integrate and reorganize the economic forest land, reduce the degree of forest land dispersion; fourth, change the production and management mode from a high perspective, advocate intensive and efficient management; fifth, a high platform, implement a one-stop chain of production, supply and marketing, and promote the smooth sales path; sixth, high frequency. Strengthen forestry science and technology training, promote forestry science and technology innovation, seventh, high standard, advocate forestry classification management, take into account ecological economic benefits.
【学位授予单位】：江西农业大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：F326.27

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