林地面积增加提高了农户营林积极性吗?——基于9省1 504个农户数据的倾向值匹配分析

doi:10.11849/zrzyxb.20151426

自然资源学报 ›› 2016, Vol. 31 ›› Issue (11): 1793-1805.doi: 10.11849/zrzyxb.20151426

• 资源利用与管理 • 下一篇

林地面积增加提高了农户营林积极性吗?——基于9省1 504个农户数据的倾向值匹配分析

张寒¹, 刘璨^{2*, *}, 姚顺波¹, 赵青³, 刘浩², 朱文清⁴

1. 西北农林科技大学经济管理学院,陕西杨凌 712100;
2. 国家林业局经济发展研究中心,北京 100714;
3. 杨凌职业技术学院交测分院,陕西杨凌 712100;
4. 中国农业大学经济管理学院,北京 100193

收稿日期:2015-12-24 修回日期:2016-05-12 出版日期:2016-11-20 发布日期:2016-11-20
作者简介:张寒（1985- ）,男,江苏徐州人,副教授,博士,主要从事林业经济研究。E-mail:hanzhang32@126.com *通信作者简介：刘璨（1966- ）,男,山东鱼台人,研究员,博士,博士生导师,主要从事林业经济理论与政策研究。E-mail:sfa1sfa1sfa1@163.com
基金资助:
国家自然科学基金青年项目（71403213）; 教育部人文社会科学研究青年基金项目（14YJC790166）; 陕西省自然科学基础研究计划项目（2014JQ2-7043）; 西北农林科技大学基本科研业务费——人文社科项目（2014RWYB02）

Does More Forestland Improve Farmers’ Forest Management Enthusiasm: A Propensity Score Matching Approach with 1 504 Households Dataset of Nine Provinces

ZHANG Han¹, LIU Can², YAO Shun-bo¹, ZHAO Qing³, LIU Hao², ZHU Wen-qing⁴

1. College of Economics and Management, Northwest A & F University, Yangling 712100, China;
2. Economic and Development Research Center, State Forestry Administration, Beijing 100714, China;
3. School of Geomatics, Yangling Vocational and Technical College, Yangling 712100, China;
4. College of Economics and Management, China Agricultural University, Beijing 100193, China

Received:2015-12-24 Revised:2016-05-12 Online:2016-11-20 Published:2016-11-20
Supported by:
National Natural Science Foundation of China, No.71403213; Humanities and Social Science Project of Ministry of Education, No.14YJC790166; Natural Science Research Project of Shaanxi Province, No.2014JQ2-7043; Humanities and Social Science Project of Northwest A & F University, No.2014RWYB02

摘要/Abstract

摘要： 论文利用9省1 504个农户调研数据,实证检验了新一轮集体林改后林地面积增加对农户营林积极性的因果效应。考虑到农户对林地经营面积决策的内生性问题,采用倾向值匹配方法对选择性偏差进行控制。匹配后,处理组和控制组在多个标准上均通过了平衡性检验。结果显示,林地面积增加确实促进了农户营林积极性的提高,但这是一个缓慢的动态调整过程。其中,资本投入强度在2010年以后才逐步表现为显著增加,增长率约为25%~27%,2013年进一步强化为28%~34%。资本投入强度的增加主要是由化肥和农药投入增加引起的,对种苗的投入强度并没有显著改善。这种差异说明,新一轮林改提高了农户的森林经营和管护积极性,但对造林行为的影响有限。同时农户并没有因为林地面积增加而显著提高劳动力的投入强度。这种资本对劳动的替代与农户的非农就业行为密切相关。

关键词: 处理效应, 集体林改, 林地面积, 倾向值匹配, 营林积极性

Abstract: Based on 1 504 households data from nine provinces, this paper investigated the casual effect of forestlands increase on farmers’ forest management enthusiasm after China’s new round collective forestlands tenure reform since 2003. Considering the endogeneity of farmers’decision on forestlands management area, the propensity score matching (PSM) method was employed to control selective bias. After score matching, the treated and controlled groups both passed the balance test. The estimation results of PSM showed that the capital input on forestlands had significant increase of 25%-27% and 28%-34% in 2010 and 2013, respectively. However, the increase was not significant in 2007. Hence, the increase of forestlands indeed has truly improved farmers’ forest management enthusiam, but requires a dynamic and long-run process. The increase of capital intensities are mainly caused by the increase of fertilizer and pesticide inputs, but not by the increase amount of seed. The result implies that China’s new round collective forestlands tenure reform had constrained effect on afforestation. Meanwhile, contrary to the increase of capital input, the labour intensity has not been improved significantly mainly because of farmers’ off-farm behaviors.

Key words: causal effect, collective forestlands tenure reform, forest area, forest management enthusiasm, propensity score matching

中图分类号:

F326.2

张寒, 刘璨, 姚顺波, 赵青, 刘浩, 朱文清. 林地面积增加提高了农户营林积极性吗?——基于9省1 504个农户数据的倾向值匹配分析[J]. 自然资源学报, 2016, 31(11): 1793-1805.

ZHANG Han, LIU Can, YAO Shun-bo, ZHAO Qing, LIU Hao, ZHU Wen-qing. Does More Forestland Improve Farmers’ Forest Management Enthusiasm: A Propensity Score Matching Approach with 1 504 Households Dataset of Nine Provinces[J]. JOURNAL OF NATURAL RESOURCES, 2016, 31(11): 1793-1805.

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林地面积增加提高了农户营林积极性吗?——基于9省1 504个农户数据的倾向值匹配分析

Does More Forestland Improve Farmers’ Forest Management Enthusiasm: A Propensity Score Matching Approach with 1 504 Households Dataset of Nine Provinces

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