资源科学 ›› 2020, Vol. 42 ›› Issue (4): 696-709.doi: 10.18402/resci.2020.04.09
郭贝贝1, 方叶林1, 周寅康2
收稿日期:
2019-07-26
修回日期:
2019-12-02
出版日期:
2020-04-25
发布日期:
2020-06-25
作者简介:
郭贝贝,女,安徽巢湖人,讲师,博士,主要研究方向为土地利用变化、土地整治、土地制度改革等。E-mail: guobb@ahu.edu.cn
基金资助:
GUO Beibei1, FANG Yelin1, ZHOU Yinkang2
Received:
2019-07-26
Revised:
2019-12-02
Online:
2020-04-25
Published:
2020-06-25
摘要:
现阶段中国的粮食安全问题严峻,耕地是保障粮食安全的基础,耕地撂荒已成为影响粮食安全的土地利用变化现象。本文采用中国家庭追踪调查数据,分析2010—2016年承包耕地的农户耕地利用行为的变化影响因素,着重从显性撂荒和隐性撂荒两个角度研究其概率变化及区域差异。研究发现:①农户承包的耕地同时存在显性和隐性撂荒现象,隐性撂荒比例较大,但未来撂荒的现象均将逐渐减少;②一致性方面,种子农药化肥投入、农业补贴政策等对撂荒的抑制作用显著,但其边际效应都将减小;土地征用会促使农户选择撂荒,存在负面的长程作用;③显性和隐性撂荒的影响因素有差异,丘陵地貌区显性撂荒显著,耕地规模化和退耕还林还草补贴能减少农户隐性撂荒的概率;自然灾害发生将会导致显性和隐性撂荒,但自然灾害对显性撂荒影响的边际效用减少,对隐性撂荒影响的边际效应却增加;④在空间差异上,经济发达区域的耕地发生显性撂荒的概率仍较大,粮食主产区继续发生隐性撂荒的概率较大。未来应制定和完善相关土地制度和农业政策,继续加大农业投资和大规模开展土地流转等解决耕地撂荒难题。
郭贝贝, 方叶林, 周寅康. 农户尺度的耕地撂荒影响因素及空间分异[J]. 资源科学, 2020, 42(4): 696-709.
GUO Beibei, FANG Yelin, ZHOU Yinkang. Influencing factors and spatial differentiation of cultivated land abandonment at the household scale[J]. Resources Science, 2020, 42(4): 696-709.
表1
变量的选择和定义"
类型 | 变量 | 定义 | 均值 | 标准差 | |
---|---|---|---|---|---|
因变量 | y | 退耕=1;显性撂荒=2;隐性撂荒=3;转出耕地=4;正常耕种=5(参照组);转入耕地=6 | 4.027 | 1.316 | |
核心变量 | 耕地投入产出 | x1 | 农户承包耕地总面积/亩 | 6.187 | 7.635 |
x2 | 从事自家农业劳动人口总数/人 | 0.581 | 0.720 | ||
x3 | 耕地种植种子、农药、化肥投入资金/元,取对数 | 5.949 | 3.070 | ||
x4 | 种植业雇佣劳动力费用/元,取对数 | 0.946 | 2.397 | ||
x5 | 耕地灌溉费用/元,取对数 | 1.335 | 2.571 | ||
x6 | 租用机械所需费用/元,取对数 | 1.093 | 2.459 | ||
x7 | 耕地种植所需其他费用/元,取对数 | 0.947 | 2.239 | ||
x8 | 农户持有机械的总价值/元,取对数 | 1.493 | 2.391 | ||
x9 | 家庭出售与自家消耗农副产品总值之和/元,取对数 | 5.117 | 4.377 | ||
政策特征 | x10 | 家庭是否领取退耕还林补贴:是=1,否=0 | 0.061 | 0.238 | |
x11 | 家庭是否领取农业补贴:是=1,否=0 | 0.625 | 0.484 | ||
x12 | 家庭是否经历土地征用:是=1,否=0 | 0.037 | 0.189 | ||
控制变量 | 家庭特征 | x13 | 家庭成员打工、工资、经营、转移和财产收入/元,取对数 | 9.096 | 2.601 |
x14 | 家庭人口总数/人 | 4.299 | 1.848 | ||
户主特征 | x15 | 户主的健康程度打分分为7级,其中0.9为非常健康,0.8为很健康,0.7为比较健康,0.6为一般,0.5为比较不健康,0.4为不健康,0.3为非常不健康 | 0.706 | 0.174 | |
x16 | 户主是否参加技能培训:是=1,否=0 | 0.015 | 0.120 | ||
x17 | 户主年龄/岁,取对数 | 3.922 | 0.231 | ||
x18 | 户主是否为男性:是=1,否=0 | 0.812 | 0.391 | ||
x19 | 户主的教育年限/年 | 4.723 | 4.423 | ||
x20 | 户主是否为非农户口:是=1,否=0 | 0.051 | 0.219 | ||
村庄特征 | x21 | 是否是丘陵:是=1,否=0 | 0.319 | 0.466 | |
x22 | 是否是除平原或丘陵以外的其他地貌:是=1,否=0 | 0.345 | 0.475 | ||
x23 | 村庄与最近的集镇距离交通(步行、骑行、乘车等)所需时间/h | 12.260 | 49.999 | ||
x24 | 村庄是否属于矿区:是=1,否=0 | 0.163 | 0.369 | ||
x25 | 是否遭受自然灾害:是=1,否=0 | 0.496 | 0.500 | ||
x26 | 是否是旅游景区:是=1,否=0 | 0.047 | 0.211 |
表2
耕地利用行为多值Logit模型回归系数(对数)"
层次 | 变量 | 退耕 | 显性撂荒 | 隐性撂荒 | 耕地转出 | 耕地转入 | ||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
回归系数 | 边际效应 | 回归系数 | 边际效应 | |||||||||
耕地投入产出 | x1 | -0.808*** | 0.006 | 0.009*** | -0.014*** | 0.001 | 0.009 | -0.024*** | ||||
(0.160) | (0.011) | (0.001) | (0.004) | (0.001) | (0.008) | (0.007) | ||||||
x2 | -0.767*** | 0.243 | 0.017*** | -0.019 | 0.005 | -0.466*** | 0.137*** | |||||
(0.284) | (0.186) | (0.004) | (0.036) | (0.005) | (0.087) | (0.040) | ||||||
x3 | -1.005*** | -2.211*** | -0.033*** | -0.521*** | -0.048*** | -0.833*** | 0.369*** | |||||
(0.068) | (0.093) | (0.002) | (0.019) | (0.002) | (0.028) | (0.040) | ||||||
x4 | 0.352** | -2.615*** | -0.064*** | -0.074*** | -0.001 | -0.006 | 0.044*** | |||||
(0.150) | (0.207) | (0.005) | (0.009) | (0.002) | (0.019) | (0.009) | ||||||
x5 | 0.162 | -2.415*** | -0.057*** | -0.032*** | 0.007*** | -0.054** | -0.009 | |||||
(0.176) | (0.191) | (0.005) | (0.009) | (0.002) | (0.023) | (0.012) | ||||||
x6 | 0.456*** | -2.685*** | -0.068*** | 0.039*** | 0.014*** | 0.087*** | -0.001 | |||||
(0.151) | (0.240) | (0.006) | (0.008) | (0.002) | (0.018) | (0.010) | ||||||
耕地投入 产出 | x7 | 0.322** | -2.794*** | -0.068*** | -0.054*** | 0.003** | 0.006 | 0.0165* | ||||
(0.164) | (0.158) | (0.004) | (0.009) | (0.002) | (0.021) | (0.010) | ||||||
x8 | -0.541*** | -1.312*** | -0.024*** | 0.046*** | 0.015*** | -0.148*** | 0.080*** | |||||
(0.055) | (0.062) | (0.001) | (0.009) | (0.001) | (0.022) | (0.011) | ||||||
x9 | -0.407*** | -3.337*** | -0.074*** | 0.086*** | 0.026*** | 0.068*** | -0.034*** | |||||
(0.039) | (1.008) | (0.023) | (0.012) | (0.004) | (0.014) | (0.009) | ||||||
政策特征 | x10 | -2.810*** | 0.042 | 0.028*** | -0.199** | -0.007 | -0.588*** | -0.267** | ||||
(0.561) | (0.221) | (0.004) | (0.077) | (0.009) | (0.160) | (0.126) | ||||||
x11 | -0.198 | -0.367*** | -0.007*** | -0.093* | -0.015*** | 0.221*** | 0.025 | |||||
(0.124) | (0.108) | (0.002) | (0.048) | (0.006) | (0.083) | (0.052) | ||||||
x12 | 0.669*** | 0.917*** | 0.010*** | 0.356*** | 0.046*** | 0.316* | -0.452*** | |||||
(0.243) | (0.240) | (0.004) | (0.098) | (0.013) | (0.174) | (0.162) | ||||||
家庭特征 | x13 | 0.017 | -0.043* | -0.001*** | -0.018*** | -0.003 | 0.0460*** | 0.008 | ||||
(0.033) | (0.023) | (0.000) | (0.007) | (0.001) | (0.016) | (0.009) | ||||||
x14 | 0.039 | 0.007 | 0.000 | -0.009 | 0.000 | -0.091*** | 0.006 | |||||
(0.031) | (0.027) | (0.001) | (0.011) | (0.001) | (0.025) | (0.016) | ||||||
户主特征 | x15 | 1.561*** | -0.196 | -0.020*** | -0.107 | -0.011 | -0.332* | -0.041 | ||||
(0.304) | (0.248) | (0.005) | (0.106) | (0.013) | (0.186) | (0.167) | ||||||
x16 | 0.500 | 0.534 | 0.002 | 0.097 | -0.007 | 0.697*** | 0.037 | |||||
(0.368) | (0.401) | (0.007) | (0.179) | (0.022) | (0.266) | (0.164) | ||||||
x17 | 0.349 | 0.077 | -0.005 | 0.061 | 0.008 | 0.476*** | -0.531*** | |||||
(0.267) | (0.213) | (0.004) | (0.083) | (0.010) | (0.183) | (0.114) | ||||||
x18 | -0.672*** | -0.143 | 0.006** | -0.031 | -0.002 | -0.208** | 0.228** | |||||
(0.138) | (0.121) | (0.002) | (0.046) | (0.006) | (0.087) | (0.099) | ||||||
x19 | -0.003 | -0.005 | 0.000 | 0.005 | 0.001 | 0.017* | -0.007 | |||||
(0.014) | (0.013) | (0.000) | (0.004) | (0.001) | (0.009) | (0.006) | ||||||
x20 | 0.251 | 0.145 | -0.001 | 0.074 | 0.010 | 0.157 | -0.246* | |||||
(0.278) | (0.178) | (0.005) | (0.103) | (0.013) | (0.149) | (0.137) | ||||||
村庄特征 | x21 | -0.335* | 0.206* | 0.010*** | -0.014 | -0.003 | -0.174 | 0.236** | ||||
(0.174) | (0.123) | (0.003) | (0.060) | (0.007) | (0.121) | (0.109) | ||||||
x22 | -0.202 | 0.218 | 0.010*** | -0.065 | -0.003 | -0.327** | 0.055 | |||||
(0.174) | (0.136) | (0.003) | (0.065) | (0.008) | (0.129) | (0.094) | ||||||
x23 | -0.001 | 0.001 | 0.000 | 0.001 | 0.000 | 0.002 | 0 | |||||
(0.001) | (0.001) | (0.000) | 0.000 | (0.000) | (0.001) | (0.001) | ||||||
x24 | -0.528** | -0.119 | 0.002 | -0.082 | -0.010 | 0.187 | -0.137 | |||||
(0.208) | (0.164) | (0.003) | (0.073) | (0.009) | (0.125) | (0.090) | ||||||
x25 | 1.074*** | 0.396*** | -0.008*** | 0.383*** | 0.036*** | 0.610*** | -0.061 | |||||
(0.139) | (0.107) | (0.002) | (0.054) | (0.006) | (0.099) | (0.070) | ||||||
x26 | -0.383 | -0.382 | -0.004 | -0.119 | -0.007 | -0.12 | -0.236* | |||||
(0.402) | (0.294) | (0.007) | (0.131) | (0.016) | (0.234) | (0.132) | ||||||
Constant | 0.691 | 2.938*** | 0.231 | -1.826** | -2.320*** | |||||||
(1.207) | (0.927) | (0.372) | (0.766) | (0.554) | ||||||||
Pseudo R2=0.360 伪似然对数=-21997.965 |
表3
耕地利用行为与家庭农业劳动人口数回归系数(对数)与边际效应"
人口(x2) | 样本量 | 退耕 | 显性撂荒 | 隐性撂荒 | 耕地转出 | 耕地转入 | |||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
系数 | 边际效应 | 系数 | 边际效应 | 系数 | 边际效应 | 系数 | 边际效应 | 系数 | 边际效应 | ||||||
1 | 9459 | -0.480 | -0.011* | 0.211 | 0.004* | 0.148*** | 0.011*** | -0.382*** | 0.027*** | 0.064 | 0.004*** | ||||
(0.373) | (0.006) | (0.309) | (0.005) | (0.043) | (0.006) | (0.094) | (0.006) | (0.055) | (0.005) | ||||||
2 | 1728 | -21.850*** | -0.038*** | -0.332 | 0.080*** | -2.572*** | 0.037*** | -1.516** | -0.167 | 0.412*** | 0.080 | ||||
(0.413) | (0.001) | (0.531) | (0.014) | (0.454) | (0.006) | (0.599) | (0.013) | (0.101) | (0.014) | ||||||
3 | 275 | -19.810*** | -0.038*** | 2.273*** | 0.045*** | -22.070*** | 0.058*** | -21.02*** | -0.196*** | 0.107 | 0.045*** | ||||
(0.438) | (0.001) | (0.411) | (0.023) | (0.151) | (0.002) | (0.208) | (0.004) | (0.190) | (0.023) | ||||||
4 | 102 | -20.360*** | -0.038*** | 1.824*** | 0.180*** | -22.120*** | 0.056*** | -21.15*** | -0.196*** | 0.993*** | 0.180*** | ||||
(0.650) | (0.001) | (0.564) | (0.044) | (0.222) | (0.003) | (0.364) | (0.004) | (0.251) | (0.044) | ||||||
5 | 16 | -20.470*** | -0.038*** | -15.170*** | 0.032*** | -22.360*** | -0.068*** | -20.910*** | -0.196*** | -0.0189 | 0.032*** | ||||
(1.038) | (0.001) | (0.777) | (0.071) | (0.413) | (0.001) | (0.458) | (0.004) | (0.608) | (0.071) | ||||||
6 | 1 | -18.550*** | -0.038*** | -16.770*** | -0.116*** | -23.420*** | -0.068*** | -22.130*** | -0.196*** | -25.010*** | -0.116*** | ||||
(1.475) | (0.001) | (1.170) | (0.005) | (1.016) | (0.001) | (1.013) | (0.004) | (0.970) | (0.005) | ||||||
8 | 1 | -15.240*** | -0.038*** | -2.200 | -0.116 | -23.290*** | 0.016*** | -21.620*** | -0.196*** | -24.620*** | -0.116*** | ||||
(1.800) | (0.001) | (4.231) | (0.005) | (1.020) | (0.092) | (1.022) | (0.004) | (0.997) | (0.005) |
[1] |
戈大专, 龙花楼, 杨忍 . 中国耕地利用转型格局及驱动因素研究: 基于人均耕地面积视角[J]. 资源科学, 2018,40(2):273-283.
doi: 10.18402/resci.2018.02.05 |
[ Ge D Z, Long H L, Yang R . The pattern and mechanism of farmland transition in China from the perspective of per capita farmland area[J]. Resources Science, 2018,40(2):273-283.]
doi: 10.18402/resci.2018.02.05 |
|
[2] |
范业婷, 金晓斌, 项晓敏 , 等. 苏南地区耕地多功能评价与空间特征分析[J]. 资源科学, 2018,40(5):980-992.
doi: 10.18402/resci.2018.05.11 |
[ Fan Y T, Jin X B, Xiang X M , et al. Evaluation and spatial characteristics of arable land multifunction in southern Jiangsu[J]. Resources Science, 2018,40(5):980-992.]
doi: 10.18402/resci.2018.05.11 |
|
[3] |
王亚辉, 李秀彬, 辛良杰 . 山区土地流转过程中的零租金现象及其解释: 基于交易费用的视角[J]. 资源科学, 2019,41(7):1339-1349.
doi: 10.18402/resci.2019.07.14 |
[ Wang Y H, Li X B, Xin L J . Rent-free land transfer in mountainous areas and its explanation[J]. Resources Science, 2019,41(7):1339-1349.]
doi: 10.18402/resci.2019.07.14 |
|
[4] | 陈秧分, 孙炜琳, 薛桂霞 . 粮食适度经营规模的文献评述与理论思考[J]. 中国土地科学, 2015,29(5):8-15. |
[ Chen Y F, Sun W L, Xue G X . Literature comment and theoretical study on the optimum management scale of farmland[J]. China Land Science, 2015,29(5):8-15.] | |
[5] | 田玉军, 李秀彬, 马国霞 , 等. 劳动力析出对生态脆弱区耕地撂荒的影响[J]. 中国土地科学, 2010,24(7):4-9. |
[ Tian Y J, Li X B, Ma G X , et al. Influences of labor emigration from agriculture on the production abandonment of cultivated land in ecological sensitive areas[J]. China Land Science, 2010,24(7):4-9.] | |
[6] | 谭术魁 . 耕地撂荒程度描述、可持续性评判指标体系及其模式[J]. 中国土地科学, 2003,17(6):3-8. |
[ Tan S K . Extent description and index system of sustainability judgment and its pattern of cultivated land abandoning[J]. China Land Science, 2003,17(6):3-8.] | |
[7] | 陈诗波, 谭鑫, 余志刚 , 等. 粮食主产区耕地隐性撂荒的形式、成因及应对策略[J]. 农业经济与管理, 2016,38(4):43-51. |
[ Chen S B, Tan X, Yu Z G , et al. Forms, causes and coping strategies of recessive abandoned in major grain-producing areas[J]. Agricultural Economics and Management, 2016,38(4):43-51.] | |
[8] | Lasanta T, Arnáez J, Pascual N , et al. Space-time process and drivers of land abandonment in Europe[J]. Catena, 2017,149:810-823. |
[9] | Levers C, Schneider M, Prishchepov A V , et al. Spatial variation in determinants of agricultural land abandonment in Europe[J]. Science of the Total Environment, 2018,644:95-111. |
[10] | Yin H, Prishchepov A V, Kuemmerle T , et al. Mapping agricultural land abandonment from spatial and temporal segmentation of Landsat time series[J]. Remote Sensing of Environment, 2018,210:12-24. |
[11] |
Price B, Kienast F, Seidl I , et al. Future landscapes of Switzerland: Risk areas for urbanisation and land abandonment[J]. Applied Geography, 2015,57:32-41.
doi: 10.1016/j.apgeog.2014.12.009 |
[12] |
Prishchepov A V, Müller D, Dubinin M , et al. Determinants of agricultural land abandonment in post-Soviet European Russia[J]. Land Use Policy, 2013,30(1):873-884.
doi: 10.1016/j.landusepol.2012.06.011 |
[13] | Qi Z, Song C H, Chen X D . Effects of China’s payment for ecosystem services programs on cropland abandonment: A case study in Tiantangzhai Township, Anhui, China[J]. Land Use Policy, 2018,73:239-248. |
[14] | 周丽娟, 冉瑞平, 林武阳 , 等. 农户耕地撂荒影响因素研究: 基于宜宾市南溪区158户农户的调查[J]. 农村经济, 2014, ( 4):46-50. |
[ Zhou L J, Ran R P, Lin W Y , et al. Research on the affecting factors of farmland arableness in farming households: Based on the investigation of 158 farmers in Nanxi district of Yibin[J]. Rural Economy, 2014, ( 4):46-50.] | |
[15] | 李赞红, 阎建忠, 花晓波 , 等. 不同类型农户撂荒及其影响因素研究: 以重庆市12个典型村为例[J]. 地理研究, 2014,33(4):721-734. |
[ Li Z H, Yan J Z, Hua X B , et al. Factors influencing the cultivated land abandonment of households of different types: A case study of 12 typical villages in Chongqing Municipality[J]. Geographical Research, 2014,33(4):721-734.] | |
[16] | 张冰琦, 郭静, 于溪 , 等. 中国2000-2010年耕地低效转化的空间特征[J]. 自然资源学报, 2018,33(7):1230-1243. |
[ Zhang B Q, Guo J, Yu X , et al. Spatial pattern of low-benefit conversion of cultivated land in China from 2000 to 2010[J]. Journal of Natural Resources, 2018,33(7):1230-1243.] | |
[17] | 汪芳甜 . 北方农牧交错带退耕还林生态效应评价: 以乌兰察布市为例[D]. 北京: 中国农业大学, 2018. |
[ Wang F T . Evaluation of Ecological Effects for the Grain for Green Project in the Farming-Pastoral Ecotone of North China: A Case Study in the Ulanqab City[D]. Beijing: China Agricultural University, 2018.] | |
[18] | 邹秀清, 王英, 武婷燕 , 等. 江西省农业人口转移对耕地利用效率影响的门槛效应[J]. 资源科学, 2019,41(8):1576-1588. |
[ Zou X Q, Wang Y, Wu T Y , et al. Threshold effect of agricultural population transfer on cultivated land use efficiency in Jiangxi Province[J]. Resources Science, 2019,41(8):1576-1588.] | |
[19] | 曹飞 . 辩证看待农村耕地抛荒: 以桂阳县为例[J]. 江西财经大学学报, 2003, ( 2):40-43. |
[ Cao F . To observe dialectically the phenomenon of the disuse of rural land: Take Guiyang County as an example[J]. Journal of Jiangxi University of Finance and Economics, 2003, ( 2):40-43.] | |
[20] | 郭家栋 . 中国家庭农场发展研究[D]. 上海: 上海社会科学院, 2017. |
[ Guo J D . Research on the Development of Chinese Family Farms[D]. Shanghai: Shanghai Academy of Social Sciences, 2017.] | |
[21] | 肖国峰, 朱秀芳, 侯陈瑶 , 等. 撂荒耕地的提取与分析: 以山东省庆云县和无棣县为例[J]. 地理学报, 2019,29(4):581-597. |
[ Xiao G F, Zhu X F, Hou C Y , et al. Extraction and analysis of abandoned farmland: A case study of Qingyun and Wudi counties in Shandong Province[J]. Acta Geographica Sinica, 2019,29(4):581-597.] | |
[22] | 张学珍, 赵彩杉, 董金玮 , 等. 1992-2017年基于荟萃分析的中国耕地撂荒时空特征[J]. 地理学报, 2019,74(3):411-420. |
[ Zhang X Z, Zhao C S, Dong J W , et al. Spatio-temporal pattern of cropland abandonment in China from 1992 to 2017: A meta-analysis[J]. Acta Geographica Sinica, 2019,74(3):411-420.] | |
[23] | 王向东, 沈孝强, 王振波 , 等. 中国耕地集约化利用评价2010-2016[J]. 中国人口·资源与环境, 2019,29(4):58-67. |
[ Wang X D, Shen X Q, Wang Z B , et al. Dynamic evaluation of farmland intensive use in 2010-2016 in China[J]. China Population, Resources and Environment, 2019,29(4):58-67.] | |
[24] | 葛玉娟, 赵宇鸾 . 基于道路网络分析技术的耕地细碎化测度模型改进[J]. 资源科学, 2019,41(4):766-774. |
[ Ge Y J, Zhao Y L . Improvement of farmland fragmentation measurement model based on road network analysis[J]. Resources Science, 2019,41(4):766-774.] | |
[25] | 李俊高, 李萍 . 我国农地撂荒及其分类治理: 基于马克思地租理论的拓展分析[J]. 财经科学, 2016, ( 12):47-54. |
[ Li J G, Li P . Land waste and classification management of China: Based on Landtax theory and its development[J]. Finance and Economics, 2016, ( 12):47-54.] | |
[26] | 吴宇哲, 许智钇 . 休养生息制度背景下的耕地保护转型研究[J]. 资源科学, 2019,41(1):9-22. |
[ Wu Y Z, Xu Z Y . Study on the transformation of cropland protection under the background of rehabilitation system[J]. Resources Science, 2019,41(1):922.] |
[1] | 谢先雄, 邓悦, 刘霁瑶, 卢玮楠, 赵敏娟. 休耕对农户非农就业的影响[J]. 资源科学, 2021, 43(2): 280-292. |
[2] | 黄志刚, 黎洁. 乡村旅游征地对失地农户福祉的影响——基于PSM模型的检验[J]. 资源科学, 2021, 43(1): 171-184. |
[3] | 杨慧琳, 袁凯华, 陈银蓉, 梅昀, 王振伟. 农户分化、代际差异对宅基地退出意愿的影响——基于宅基地价值认知的中介效应分析[J]. 资源科学, 2020, 42(9): 1680-1691. |
[4] | 李敏, 陈尧, 唐鹏, 冯月. 家庭生命周期对农户宅基地退出意愿的影响[J]. 资源科学, 2020, 42(9): 1692-1703. |
[5] | 强文丽, 张翠玲, 刘爱民, 成升魁, 王祥, 李凡. 全球农产品贸易的虚拟耕地资源流动演变及影响因素[J]. 资源科学, 2020, 42(9): 1704-1714. |
[6] | 韩璟, 陈泽秀, 卢新海. 中国海外耕地投资发展的时空格局演变与影响因素[J]. 资源科学, 2020, 42(9): 1715-1727. |
[7] | 罗屹, 苗海民, 黄东, 武拉平, 朱俊峰. 农户仓类设施采纳及其对玉米储存数量和损失的影响[J]. 资源科学, 2020, 42(9): 1777-1787. |
[8] | 李瑛, 黄丹, 朱莹, 贺文华, 黎洁. 景区带村扶贫模式下农户参与旅游的经济效率——以秦巴山区旅游扶贫重点村为例[J]. 资源科学, 2020, 42(9): 1827-1836. |
[9] | 黄晶, 薛东前, 代兰海. 农产品主产区村镇建设资源环境承载力空间分异及影响因素——以甘肃省临泽县为例[J]. 资源科学, 2020, 42(7): 1262-1274. |
[10] | 单玉红, 王琳娜. 农户分化对农地功能供给多样化的影响路径[J]. 资源科学, 2020, 42(7): 1405-1415. |
[11] | 张莉, 刘建杰. 清末民国时期新疆玛纳斯河流域耕地格局重建[J]. 资源科学, 2020, 42(7): 1428-1437. |
[12] | 郭清卉, 李世平, 南灵. 环境素养视角下的农户亲环境行为[J]. 资源科学, 2020, 42(5): 856-869. |
[13] | 韩旭东, 王若男, 崔梦怡, 郑风田. 中国规模农户设施农业经营状况及影响因素[J]. 资源科学, 2020, 42(4): 749-962. |
[14] | 刘丽, 褚力其, 姜志德. 技术认知、风险感知对黄土高原农户水土保持耕作技术采用意愿的影响及代际差异[J]. 资源科学, 2020, 42(4): 763-775. |
[15] | 张佰发, 苗长虹. 黄河流域土地利用时空格局演变及驱动力[J]. 资源科学, 2020, 42(3): 460-473. |
|