SCIENTIA GEOGRAPHICA SINICA ›› 2022, Vol. 42 ›› Issue (11): 1986-1995.doi: 10.13249/j.cnki.sgs.2022.11.013
Previous Articles Next Articles
Feng Xiao1(), Shi Xingmin1(
), Fan Yi1, Chen Xieyang1,2
Received:
2021-10-03
Revised:
2022-05-08
Online:
2022-11-10
Published:
2023-01-05
Contact:
Shi Xingmin
E-mail:fengxiao0803@163.com;realsimon@163.com
CLC Number:
Feng Xiao, Shi Xingmin, Fan Yi, Chen Xieyang. Livelihood Vulnerability and its Influencing Factors of Geographical Indication Agricultural Products Growers: A Case Study of Mei County and Zhouzhi County, Shaanxi Province[J].SCIENTIA GEOGRAPHICA SINICA, 2022, 42(11): 1986-1995.
Table 1
Index system of livelihood vulnerability
生计脆弱性 | 类别 | 指标 | 指标描述与定义 | 权重 | 平均值 | 标准差 |
暴露 | 气象灾害 | 越冬期冻害 | 非常轻=1;比较轻=2;一般=3; 比较重=4;非常重=5 | 0.136 | 3.600 | 0.932 |
芽膨大期冻害 | 0.122 | 3.670 | 0.928 | |||
夏季干旱 | 0.187 | 3.240 | 0.999 | |||
日灼灾害 | 0.104 | 3.760 | 0.884 | |||
秋季连阴雨 | 0.236 | 2.980 | 0.966 | |||
病虫害 | 0.215 | 3.080 | 0.981 | |||
敏感性 | 气象灾害 影响程度 | 越冬期冻害的影响程度 | 无影响=1;影响不大=2;影响一般=3; 影响较大=4;影响很大=5 | 0.064 | 3.680 | 1.017 |
芽膨大期冻害的影响程度 | 0.056 | 3.950 | 1.046 | |||
夏季干旱的影响程度 | 0.072 | 3.470 | 0.998 | |||
日灼灾害的影响程度 | 0.047 | 3.910 | 0.940 | |||
秋季连阴雨的影响程度 | 0.106 | 3.100 | 1.025 | |||
病虫害的影响程度 | 0.086 | 3.140 | 1.003 | |||
抚养比 | 家庭抚养比 | 非劳动力占劳动力的比重 | 0.359 | 1.092 | 1.087 | |
健康状况 | 家庭成员健康状况 | 非常差=1;比较差=2;一般=3;比较好=4;非常好=5 | 0.209 | 3.881 | 1.071 | |
适应能力 | 生计策略 | 家庭生计多样性 | 农户选择的家庭生计类型之和 | 0.026 | 1.650 | 0.607 |
农户类型 | 纯农户(全部从事农业活动)=1; 兼业农户 (部分从事非农活动)=2 | 0.590 | 1.580 | 0.495 | ||
年家庭收入 | 1万元以下=1; 1~3万元=2;3~5万元=3; 5~7万元=4; 7万元以上=5 | 0.202 | 3.190 | 1.194 | ||
社会网络 | 年国家补贴 | 0元=1; 1000元以下=2; 1000~3000元=3; 3000~5000元=4; 5000元以上=5; | 0.018 | 1.380 | 0.682 | |
村委会或政府工作人员人数 | 0人=1; 1人=2; 2人=3; 3人=4; 4人及以上=5 | 0.004 | 1.070 | 0.347 | ||
家庭亲朋、企业高管、老板人数 | 0.002 | 1.040 | 0.247 | |||
家庭参与供销社、合作社等协会的数量 | 0.001 | 1.060 | 0.244 | |||
社会人口概况 | 户主受教育水平 | 小学=1; 初中=2 ;高中=3; 中专=4;大学及以上=5 | 0.028 | 1.910 | 0.752 | |
户主年龄 | 户主年龄数值 | 0.041 | 56.320 | 11.112 | ||
家庭平均劳动力 | 非劳动力=1; 半劳动力=2; 全劳动力=3 | 0.088 | 1.430 | 0.609 |
Table 2
Definition of variables
类别 | 变量 | 变量描述 |
猕猴桃生产特征 | 是否采用地理标志商标 | 0=否;1=是 |
是否参加地理标志商标培训 | 0=否;1=是 | |
是否采用合作生产方式 | 0=农户单独生产;1=农户+合作社/基地企业 | |
猕猴桃种植特征 | 种植面积 | 单位:hm2 |
种植年限 | 单位:a | |
品种多样性 | 种植户种植的猕猴桃的品种数量 | |
适应行为采用强度 | 越冬期冻害适应行为采用强度 | 采用越冬期冻害适应行为的数量 |
芽膨大期冻害适应行为采用强度 | 采用芽膨大期冻害适应行为的数量 | |
夏季干旱适应行为采用强度 | 采用夏季干旱适应行为的数量 | |
高温日灼适应行为采用强度 | 采用高温日灼适应行为的数量 | |
秋季连阴雨适应行为采用强度 | 采用秋季连阴雨适应行为的数量 |
[1] |
Albayram Z, Mattas K, Tsakiridou E. Purchasing local and non-local products labeled with geographical indications (GIs)[J]. Operational Research, 2014, 14(2): 237-251
doi: 10.1007/s12351-014-0154-9 |
[2] |
Garavaglia C, Mariani P. How much do consumers value protected designation of origin certifications? Estimates of willingness to pay for PDO Dry-Cured Ham in Italy[J]. Agribusiness, 2017, 33(3): 403-423
doi: 10.1002/agr.21494 |
[3] | Williams R M, Penker M. Do geographical indications promote sustainable rural development? Two UK case studies and implications for New Zealand rural development policy[D]. Lincon: Lincon Universities, 2007. |
[4] |
邰秀军, 杨慧珍, 陈荣. 地理标志农产品产业化的减贫增收效应—— 基于山西省110个县的实证分析[J]. 中国农业资源与区划, 2017, 38(6): 144-149
doi: 10.7621/cjarrp.1005-9121.20170620 |
Tai Xiujun, Yang Huizhen, Chen Rong. A study of poverty-reduction of geographical indications production industrialization— Based on the data in the 110 counties, Shanxi Province. Chinese Journal of Agricultural Resources and Regional Planning, 2017, 38(6): 144-149
doi: 10.7621/cjarrp.1005-9121.20170620 |
|
[5] |
李赵盼, 郑少锋. 农产品地理标志使用对猕猴桃种植户收入的影响[J]. 西北农林科技大学学报(社会科学版), 2021, 21(2): 119-129
doi: 10.13968/j.cnki.1009-9107.2021.02.15 |
Li Zhaopan, Zheng Shaofeng. Empirical study on economic benefit of agri-geographical indications. Journal of Northwest A&F University (Social Science Edition), 2021, 21(2): 119-129
doi: 10.13968/j.cnki.1009-9107.2021.02.15 |
|
[6] |
胡铭. 基于产业集群理论的农产品地理标志保护与发展[J]. 农业经济问题, 2008(5): 26-31
doi: 10.3969/j.issn.1000-6389.2008.05.005 |
Hu Ming. Protection and development of agricultural geographical indications based on industrial cluster theory. Issues in Agricultural Economy, 2008(5): 26-31
doi: 10.3969/j.issn.1000-6389.2008.05.005 |
|
[7] | 史兴民. 公众对气候变化的感知与适应行为研究进展[J]. 水土保持通报, 2016, 36(6): 258-271 |
Shi Xingmin. Research progress in public perception and adaption behavior of climate change. Bulletin of Soil and Water Conservation, 2016, 36(6): 258-271 | |
[8] | 宋臻, 史兴民, 李欢娟, 等. 樱桃种植户对气候变化及气象灾害的适应行为效能感知研究[J]. 气候变化研究进展, 2019, 15(3): 313-325 |
Song Zhen, Shi Xingmin, Li Huanjuan et al. Cherry growers’ efficacy perception of adaptive behaviors to climate change and meteorological disasters. Climate Change Research, 2019, 15(3): 313-325 | |
[9] | Intergovernmental Panel on Climate Change. Climate change 2014: Impacts, adaptation and vulnerability[M]. Cambridge: Cambridge University Press, 2014. |
[10] | 苏飞, 应蓉蓉, 李博. 生计脆弱性研究热点与前沿的可视化[J]. 地理科学, 2016, 36(7): 1073-1080 |
Su Fei, Ying Rongrong, Li Bo. Visualization analysis of the hot topics and frontier on livelihood vulnerability research. Scientia Geographica Sinica, 2016, 36(7): 1073-1080 | |
[11] |
阎建忠, 喻鸥, 吴莹莹, 等. 青藏高原东部样带农牧民生计脆弱性评估[J]. 地理科学, 2011, 27(7): 858-867
doi: 10.13249/j.cnki.sgs.2011.07.014 |
Yan Jianzhong, Yu Ou, Wu Yingying et al. Livelihood vulnerability assessment of farmers and nomads in eastern ecotone of Tibetan Plateau, China. Scientia Geographica Sinica, 2011, 27(7): 858-867
doi: 10.13249/j.cnki.sgs.2011.07.014 |
|
[12] | 赵雪雁, 刘春芳, 王学良, 等. 干旱区内陆河流域农户生计对生态退化的脆弱性评价——以石羊河中下游为例[J]. 生态学报, 2016, 36(13): 4141-4151 |
Zhao Xueyan, Liu Chunfang, Wang Xueliang et al. Assessment of the vulnerability of farmers’ livelihoods to ecological degradation in arid regions of a continental river basin: A case study of the middle-lower reaches of the Shiyang River in China. Acta Ecologica Sinica, 2016, 36(13): 4141-4151 | |
[13] | Xu X B, Wang L, Sun M X et al. Climate change vulnerability assessment for smallholder farmers in China: An extended framework[J]. Journal of Environmental Management, 2020(276): 1-13 |
[14] |
Chen Q, Su H, Yu X et al. Livelihood vulnerability of marine fishermen to multi-stresses under the Vessel Buyback and Fishermen Transfer Programs in China: The case of Zhoushan City, Zhejiang Province[J]. International Journal of Environmental Research and Public Health, 2020, 17(3): 765-782
doi: 10.3390/ijerph17030765 |
[15] | 吴吉林, 刘帅, 刘水良, 等. 张家界农户乡村旅游脆弱性评价与影响因素[J]. 地理科学, 2020, 40(8): 1336-1344 |
Wu Jilin, Liu Shuai, Liu Shuiliang et al. Vulnerability assessment and influencing factors of farmers towards rural tourism in Zhangjiajie. Scientia Geographica Sinica, 2020, 40(8): 1336-1344 | |
[16] | 李慧, 刘志有, 肖含松, 等. 基于乡村振兴视角下西部绿洲流转农户生计脆弱性影响因素研究[J]. 中国农业资源与区划, 2020, 41(11): 234-242 |
Li Hui, Liu Zhiyou, Xiao Hansong et al. Study on the influencing factors of livelihood vulnerability of rural households in the western oasis from perspective of Rural Revitalization. Chinese Journal of Agricultural Resources and Regional Planning, 2020, 41(11): 234-242 | |
[17] | 刘伟, 徐洁, 黎洁. 陕南易地扶贫搬迁农户生计脆弱性研究[J]. 资源科学, 2018, 40(10): 2002-2014 |
Liu Wei, Xu Jie, Li Jie. Livelihood vulnerability of rural households under poverty alleviation relocation in southern Shaanxi, China. Resources Science, 2018, 40(10): 2002-2014 | |
[18] |
Hahn M B, Riederer A M, Foster S O. The livelihood vulnerability index: A pragmatic approach to assessing risks from climate variability and change-A case study in Mozambique[J]. Global Environmental Change, 2009, 19(1): 74-88
doi: 10.1016/j.gloenvcha.2008.11.002 |
[19] |
Adhikari S, Dhungana N. Upadhaya S. Watershed communities’ livelihood vulnerability to climate change in the Himalayas[J]. Climatic Change, 2020, 162: 1307-1321
doi: 10.1007/s10584-020-02870-8 |
[20] | Sujakhu N M, Ranjitkar S, Niraula R R et al Determinants of livelihood vulnerability in farming communities in two sites in the Asian Highlands[J]. Water International, 2018, 43(2): 165-182. |
[21] | Azumah S B, Adzawla W, Donkoh S A et al. Effects of climate adaptation on households’ livelihood vulnerability in South Tongu and Zabzugu districts of Ghana[J]. Climate and Development, 2020(6): 1-12 |
[22] |
秦语晗, 史兴民, 陈谢扬. 地理标志农产品种植户气象灾害的适应策略研究——以陕西猕猴桃种植户为例[J]. 灾害学, 2022, 37(1): 211-219
doi: 10.13925/j.cnki.gsxb.20140099 |
Qin Yuhan, Shi Xingmin, Chen Xieyang. Research on adaptive strategy of geographical indication agricultural products growers to meteorological disasters: A case study of Shaanxi Province kiwifruit growers. Journal of catastrophology, 2022, 37(1): 211-219
doi: 10.13925/j.cnki.gsxb.20140099 |
|
[23] | 陕西省统计局. 陕西统计年鉴(2020)[M]. 北京: 中国统计出版社, 2020. |
Shaanxi Statistical Bureau. Shaanxi statistical yearbook (2020). Beijing: China Statistical Press, 2020. | |
[24] | 阎建忠, 卓仁贵, 谢德体, 等. 不同生计类型农户的土地利用——三峡库区典型村的实证研究[J]. 地理学报, 2010, 65(11): 1401-1410. |
Yan Jianzhong, Zhuo Rengui, Xie Deti et al. Land use characters of farmers of different livelihood strategies: Cases in Three Gorges Reservoir Area. Acta Geographica Sinica, 2010, 65(11): 1401-1410. | |
[25] |
Hacar Ö Ö, Gülgen F, Bilgi S. Evaluation of the space syntax measures affecting pedestrian density through ordinal Logistic regression analysis[J]. International Journal of Geo-Information, 2020, 9(10): 589
doi: 10.3390/ijgi9100589 |
[26] | Shorrocks A. Decomposition procedures for distributional analysis: A unified framework based on the Shapley value[J]. The Journal of Economic Inequality, 2013(11): 99-126 |
[27] | 王磊, 赵瑞莹. 农户申请使用地理标志行为决策的影响因素分析——基于山东省16市的调查[J]. 农业技术经济, 2012(1): 83-89 |
Wang Lei, Zhao Ruiying. Analysis on the influencing factors of farmers’ decision-making in applying for the use of geographical indications—Based on the survey of 16 cities in Shandong Province. Journal of Agrotechnical Economics, 2012(1): 83-89 | |
[28] | 邝佛缘, 陈美球. 风险预期、生计资本对农户宅基地退出意愿的影响及其代际差异——基于江西省456份农户调查数据[J]. 农林经济管理学报, 2021, 20(1): 92-101 |
Kuang Foyuan, Chen Meiqiu. Influence of risk expectation and livelihood capital on farmers’ willingness to withdraw homestead and its intergeneration differences: Based on survey data of 456 households in Jiangxi Province. Journal of Agro-Forestry Economics and Management, 2021, 20(1): 92-101 | |
[29] | 熊肖雷, 李冬梅, 冯莹, 等. 农业现代化进程中农户农业标准化生产意愿分析[J]. 农业现代化研究, 2015, 36(5): 862-868 |
Xiong Xiaolei, Li Dongmei, Feng Ying et al. Farmers’ willingness to adopt the agricultural production standardization in the process of agricultural modernization. Research of Agricultural Modernization, 2015, 36(5): 862-868 | |
[30] | 陈鑫. 不同修剪方法对华优猕猴桃新蔓发育及结果的影响[D]. 杨凌: 西北农林科技大学, 2013. |
Chen Xin. Effect of different pruning methods on new vine development and fruiting in 'HUAYOU' kiwifruit. Yangling: Northwest A&F University, 2013. | |
[31] | Maguzatembo F, Abdikhalil E, Mangisoni J et al. Does adoption of Climate Smart Agriculture (CSA) technologies reduce household vulnerability to poverty?[J]. Environmental Science and Pollution Research, 2016, 7(21): 125-130. |
[32] |
Awuni J A, Azumah S B, Donkoh S A. Drivers of adoption intensity of improved agricultural technologies among rice farmers: Evidence from Northern Ghana[J]. Review of Agricultural and Applied Economics (RAAE), 2018, 21(2): 48-57
doi: 10.15414/raae.2018.21.02.48-57 |
[1] | Xie Yongshun, Wang Chengjin, Wu Ailing. Spatio-temporal Evolution and Interactive Effects of Geographical Indication Agricultural Products and Agricultural Economy [J]. SCIENTIA GEOGRAPHICA SINICA, 2022, 42(9): 1577-1587. |
[2] | Chen Qi, Hu Qiuguang, Shen Weiteng, Chen Yiran. Coastal Fishermen’s Livelihood Vulnerability Changes and Its Influence Factors Under the Vessel Buyback and Fishermen Transfer Programs: Based on the Investigation of Converted Fishermen in Zhoushan City, Zhejiang Province [J]. SCIENTIA GEOGRAPHICA SINICA, 2021, 41(8): 1487-1495. |
[3] | Deng Qinghua, Xue Desheng, Gong Jianzhou. Influencing Factors of Online Shopping Frequency of Residents and Spatial Differences of These Factors in Guangzhou City [J]. SCIENTIA GEOGRAPHICA SINICA, 2020, 40(6): 928-938. |
[4] | Fei Su, Rongrong Ying, Bo Li. Visualization Analysis of the Hot Topics and Frontier on Livelihood Vulnerability Research [J]. SCIENTIA GEOGRAPHICA SINICA, 2016, 36(7): 1073-1080. |
|