首页 | 本学科首页   官方微博 | 高级检索  
     检索      

林改后闽浙赣家庭林业全要素生产率变动比较
引用本文:苏时鹏,吴俊媛,甘建邦.林改后闽浙赣家庭林业全要素生产率变动比较[J].资源科学,2015,37(1):112-124.
作者姓名:苏时鹏  吴俊媛  甘建邦
作者单位:福建农林大学可持续发展研究所, 福州 350002,福建农林大学可持续发展研究所, 福州 350002,德州农工大学生态系统科学与管理系, 美国College Station 77843
基金项目:国家自然科学“农户林业全要素生产率增长机理研究:福建、江西、浙江案例研究”(编号:70973020);国家自然科学“集体林权制度改革的环境影响评价及机理研究:福建案例研究”(编号:71273051);国家林业公益性行业科研专项基金课题:“亚热带常绿阔叶次生林增汇技术与潜力评价”(编号:201304205);福建农林大学校“校杰出青年科研人才”培养专项基金项目(编号:xjq201423)。
摘    要:为了找出集体林权制度改革后家庭林业全要素生产率(TFP)的变动规律,论文以闽浙赣2004-2009年237个林农的跟踪调查数据为基础,以农户家庭林业经营为决策单元,以林地面积、劳动力、资金为投入变量,以林业总产出为产出变量,运用DEA-Malmquist模型测算TFP,运用Tobit回归找出关键影响因素,并进行对比分析。结果表明:技术进步是家庭林业TFP增长的主动力。闽浙赣家庭林业技术进步年均增长率依次为-4.3%、13.4%、8.9%,使得其TFP年均增长率差异很大,依次为-4.4%、9.1%、5.8%。规模效率变动及生产要素配置水平变动的个体差异较大,直接导致三省家庭林业TFP变动的个体差异均较大,且浙江、江西远大于福建,均需要扩大林改成果的社会惠及面。虽然对各省家庭林业TFP产生显著影响的因素有所不同,但户主受教育年限、林业经营条件、资金来源渠道和林业管制政策执行属于影响两个省的共同因素。强化林业科技推广、加快林地流转、加强新型林农培育、加大林业基础设施建设、健全林业多渠道融资机制和规范政策执行等措施有利于家庭林业生产力水平持续增长,规范林地流转、发展林农专业合作组织和促进林农相互交流等措施有利于扩大林改成果的社会惠及面。

关 键 词:集体林权制度改革  家庭林业  全要素生产率  比较分析  闽浙赣
收稿时间:2/8/2014 12:00:00 AM

Comparative analysis of total factor productivity change among family forestry operators since forest tenure reform in Fujian,Zhejiang and Jiangxi provinces
SU Shipeng,WU Junyuan and GAN Jianbang.Comparative analysis of total factor productivity change among family forestry operators since forest tenure reform in Fujian,Zhejiang and Jiangxi provinces[J].Resources Science,2015,37(1):112-124.
Authors:SU Shipeng  WU Junyuan and GAN Jianbang
Institution:Institute of Sustainable Development, Fujian Agriculture and Forestry University, Fuzhou 350002, China,Institute of Sustainable Development, Fujian Agriculture and Forestry University, Fuzhou 350002, China and Department of Ecosystem Science and Management, Texas A&M University, College Station, Texas 77843, USA
Abstract:We attempted to identify change patterns in total factor productivity(TFP)for family forestry operators in Fujian,Zhejiang and Jiangxi,China since forest tenure reform was implemented. We conducted a comparative analysis of TFP changes calculated using the DEA-Malmquist model with the input variables of forestland area,labor and capital,and the output variable of total forestry output value. We identified the key influencing factors of TFP changes in each of the three provinces using Tobit regression. Data used in this analysis were drawn from annual surveys of 237 farmer households from 2004 to 2009. We found that technological progress was the main driving force of TFP growth. Fujian,Zhejiang and Jiangxi forestry technological annual change rates were -4.3%,13.4% and 8.9%,making the TFP annual growth rates -4.4%, 9.1% and 5.8%,respectively. Variations in the TFP change rate among individual households were all large and differed considerably from province to province,pointing to an urgent need to extend reform benefits to more social groups. These variations mainly came from variation in the scale efficiency change rate and pure efficiency change rate,rather than the technology change rate. Although key factors affecting family forestry TFP growth were differed across the three provinces, household heads'education,forestry operating conditions,funding channels and implementation of forestry policy affected two provinces significantly. Advancing forestry technology promotion, accelerating forestland transfers, encouraging farmer cultivation, strengthening forestry infrastructure,broadening forestry financial channels,regulating forestry policy implementation and reducing forestry taxes were conducive to the sustainable growth of family forestry TFP. Developing forestry cooperation organizations,regulating forestland transfer processes and promoting communication among foresters would increase the number of recipients of reform benefits.
Keywords:collective forest tenure reform  family forestry  total factor productivity  comparative analysis  Fujian  Jiangxi  Zhejiang
本文献已被 CNKI 等数据库收录!
点击此处可从《资源科学》浏览原始摘要信息
点击此处可从《资源科学》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号