[1] 中华人民共和国国务院新闻办公室. 人类减贫的中国实践[M]. 北京: 人民出版社, 2021
[2] 熊娜. 农村扶贫科技供需均衡及其演变的影响因素研究[J]. 中国软科学, 2018(11): 50-57.
Xiong Na. Study on the influencing factors of the willingness and supply of rural poverty alleviation technology [J]. China Soft Science, 2018(11): 50-57.
[3] 霍瑜, 夏文浩, 郎禹超, 等. 绿色防控技术采纳及其对新疆棉农福利的影响[J]. 资源科学, 2023, 45(1): 130-143.
Huo Yu, Xia Wenhao, Lang Yuchao, et al. The impact of green control technology adoption on cotton farmers welfare in Xinjiang [J]. Resources Science, 2023, 45(1): 130-143.
[4] Alene A D, Menkir A, Ajala S O, et al. The economic and poverty impacts of maize research in west and central Africa [J]. Agricultural Economics, 2009, 40(5): 535-550
[5] 刘艳华, 徐勇. 扶贫模式可持续减贫效应的分析框架及机理探析[J]. 地理科学进展, 2018, 37(4): 567-578.Liu Yanhua, Xu Yong. Analytical framework of sustainable povertyreduction effect and mechanisms of antipoverty models [J]. Progress in Geography, 2018, 37(4): 567-578.
[6] Asfaw S, Berresaw M K, Simtowe F, et al. Poverty reduction effects of agricultural technology adoption: A microevidence from rural Tanzania [J]. Journal of Development Studies, 2012, 48(9): 1288-1305
[7] Mendola M. Agricultural technology adoption and poverty reduction: A propensityscore matching analysis for rural Bangladesh [J] Food Policy, 2007, 32(3): 372-393.
[8] 邢成举. 科技扶贫、非均衡资源配置与贫困固化——基于对阳县苹果产业科技扶贫的调查[J]. 中国科技论坛, 2017(1): 116-121.Xing Chengju. Science and technology poverty alleviation, nonbalanced resource allocation and poverty solidification: Based on the investigation of the science and technology poverty alleviation of the apple industry in Yang County [J]. Forum on Science and Technology in China, 2017(1): 116-121.
[9] 张峭, 徐磊. 中国科技扶贫模式研究[J]. 中国软科学, 2007(2): 82-86.Zhang Qiao, Xu Lei. Study on the model of poverty relief by science and technology in China [J]. China Soft Science, 2007(2): 82-86.
[10] 郎亮明, 张彤, 陆迁. 基于产业示范站的科技扶贫模式及其减贫效应[J]. 西北农林科技大学学报(社会科学版), 2020, 20(1): 9-18.
Lang Liangming, Zhang Tong, Lu Qian. Analysis of model of poverty alleviation by science and technology and its effects based on industrial demonstration stations [J]. Journal of Northwest A & F University (Social Science Edition), 2020, 20(1): 9-18.
[11] 周华强, 冯文帅, 刘长柱, 等. 科技扶贫服务体系建设战略研究: 实践视角的框架与机制[J]. 科技进步与对策, 2017, 34(12): 22-27.Zhou Huaqiang, Feng Wenshuai, Liu Changzhu, et al. Strategic study on service system of science and technology to alleviate poverty: Frameworks and mechanisms in practiceoriented view [J]. Science & Technology Progress and Policy, 2017, 34(12): 22-27.
[12] Wossen T, Alene A, Abdoulaye T, et al. Poverty reduction effects of agricultural technology adoption: The case of improved cassava varieties in Nigeria [J]. Journal of Agricultural Economics, 2018, 70(2).
[13] 胡伦, 陆迁. 干旱风险冲击下节水灌溉技术采用的减贫效应——以甘肃省张掖市为例[J]. 资源科学, 2018, 40(2): 417-426.
Hu Lun, Lu Qian. Poverty reduction effects of watersaving irrigation technology adoption under drought risk in Zhangye, Gansu [J]. Resources Science, 2018, 40(2): 417-426.
[14] Firpos S, Fortinn M, Lemieux T. Unconditional quantile regressions [J]. Econometrica, 2009, 77(3): 953-973.
[15] 于福波, 张应良. 外出务工、社会资本与农户内部收入差距[J]. 经济与管理研究, 2019, 40(8): 90-103.
Yu Fubo, Zhang Yingliang. Migrating for work and social capital on the rural households income gap [J]. Research on Economics and Management, 2019, 40(8): 90-103.
[16] Foster J E, Greer J, Thorbecke E. A class of decomposable poverty indices [J]. Econometrica, 1984, 52(3): 761-766.
[17] 樊增增, 邹薇. 从脱贫攻坚走向共同富裕: 中国相对贫困的动态识别与贫困变化的量化分解[J]. 中国工业经济, 2021(10): 59-77.
Fan Zengzeng, Zou Wei. From antipoverty campaign to common prosperity: Dynamic identification of relative poverty and quantitative decomposition of poverty changes in China [J]. China Industrial Economics, 2021(10): 59-77.
[18] 栾江, 马瑞. 农村居民相对贫困影响因素分析[J]. 统计与决策, 2021, 37(10): 75-79.
Luan Jiang. Ma Rui. Analysis of the factors affecting the relative poverty of rural residents [J]. Statistics & Decision, 2021, 37(10): 75-79.
[19] 郑景丽, 沈洋, 周鹏飞. 西部地区农村信息化建设的反贫困效应研究——基于CFPS2018的实证分析[J]. 西北人口, 2021, 42(2): 95-105.
Zheng Jingli, Shen Yang, Zhou Pengfei. Research on the antipoverty effect of rural informatization construction in Western Regions: Based on empirical analysis of CFPS2018 [J]. Northwest Population Journal, 2021, 42(2): 95-105.
[20] 尚海洋, 宋妮妮, 丁杨. 生态补偿现金方式的减贫效果分析[J]. 统计与决策, 2018, 34(12): 90-93.
Shang Haiyang, Song Nini, Ding Yang. Analysis on poverty reduction effect of ecological compensation fund [J]. Statistics & Decision, 2018, 34(12): 90-93.
[21] Njoya E, Seetaram N. Tourism and poverty reduction in Kenya: A dynamic CGE analysis [J]. Journal of Travel Research, 2017, 55(3): 1-27.
[22] 霍瑜, 张俊飚, 陈祺琪, 等. 土地规模与农业技术利用意愿研究——以湖北省两型农业为例[J]. 农业技术经济, 2016(7): 19-28.
Huo Yu, Zhang Junbiao, Chen Qiqi, et al. Research on land scale and willingness to use agricultural technology: An example of two types of agriculture in Hubei Province [J]. Journal of Agrotechnical Economics, 2016(7): 19-28.
[23] 张莎莎, 郑循刚. 农户相对贫困缓解的内生动力[J]. 华南农业大学学报(社会科学版), 2021, 20(4): 44-53.
Zhang Shasha, Zheng Xungang. Endogenetic impetus on relative poverty of rural households [J]. Journal of South China Agricultural University (Social Science Edition), 2021, 20(4): 44-53.
[24] 沈栩航, 李浩南, 李后建. 创业会加剧农村内部收入不平等吗[J]. 农业技术经济, 2020(10): 33-47.
Shen Xuhang, Li Haonan, Li Houjian. Will entrepreneurship exacerbate income inequality in rural areas? [J]. Journal of Agrotechnical Economics, 2020(10): 33-47.
(上接第136页)
[16] Brnhorst M, Deutschmann O. Advances and challenges of ammonia delivery by ureawater sprays in SCR systems [J]. Progress in Energy and Combustion Science, 2021, 87: 100949.
[17] Koebel M, Elsener M, Kleemann M. UreaSCR: A promising technique to reduce NOX emissions from automotive diesel engines [J]. Catalysis Today, 2000, 59(3-4): 335-345.
[18] 陈镇超, 杨卫娟, 周俊虎, 等. 尿素催化水解特性实验研究[J]. 中国电机工程学报, 2011, 31(35): 41-46.
Chen Zhenchao, Yang Weijuan, Zhou Junhu, et al. Experimental investigation on the properties of urea thermohydrolysis with catalysts [J]. Proceedings of the CSEE, 2011, 31(35): 41-46.
[19] 吕洪坤, 杨卫娟, 周俊虎, 等. 尿素溶液高温热分解特性的实验研究[J]. 中国电机工程学报, 2010, 30(17): 35-40.
Lü Hongkun, Yang Weijuan, Zhou Junhu, et al. Investigation on thermal decomposition characteristics of urea solution under high temperature [J]. Proceedings of the CSEE, 2010, 30(17): 35-40.
[20] Piazzesi G. The catalytic hydrolysis of isocyanic acid (HNCO) in the UreaSCR process [D]. Zurich: Swiss Federal Institute of Technology, 2006.
[21] 张晨. 船舶柴油机UreaSCR系统中HNCO水解特性及还原作用的研究[D]. 哈尔滨: 哈尔滨工业大学, 2014.Zhang Chen. Study on hydrolysis and reduction of HNCO in marine diesel UreaSCR systems [D]. Harbin: Harbin Institute of Technology, 2014.
[22] 周英贵, 金保昇. 尿素水溶液雾化热分解特性的建模及模拟研究[J]. 中国电机工程学报, 2012, 32(26): 37-42.
Zhou Yinggui, Jin Baosheng. Simulation and modeling on thermal decomposition characteristics of ureawatersolution atomization [J]. Proceedings of the CSEE, 2012, 32(26): 37-42.
(上接第226页)
[12] 李杨. 基于双目视觉的柑橘采摘机器人目标识别及定位技术研究[D]. 重庆: 重庆理工大学, 2017.
[13] 周洪刚, 康敏. 基于机器视觉的成熟柑橘自动识别研究[J]. 江苏农业科学, 2013, 41(6): 380-381.
[14] 顾思妍. 机器视觉的直线检测技术及应用研究[D]. 广州: 广东工业大学, 2011.
[15] 张洪超, 侯德文. 一种基于多阈值迭代方法的图像分割算法[J]. 山东师范大学学报(自然科学版), 2016, 31(2): 49-52, 56.
Zhang Hongchao, Hou Dewen. An image segmentation algorithm based on iterative multiple threshold [J]. Journal of Shandong Normal University (Natural Science), 2016, 31(2): 49-52, 56.
[16] 张凯兵, 赵珮含. 基于HOG特征和SVM的日常运动行为识别[J]. 湖北工程学院学报, 2018, 38(6): 55-61.
Zhang Kaibing, Zhao Peihan. Daily sports action recognition based on HOG feature and SVM [J]. Journal of Hubei Engineering University, 2018, 38(6): 55-61.
[17] 林耀海, 赵洪璐, 杨泽灿, 等. 结合深度学习与Hough变换的等长原木材积检测系统[J]. 林业工程学报, 2021, 6(1): 136-142.
Lin Yaohai, Zhao Honglu, Yang Zecan, et al. An equal length log volume inspection system using deeplearning and Hough transformation [J]. Journal of Forestry Engineering, 2021, 6(1): 136-142.
[18] 段志达, 魏利胜, 刘小珲, 等. 基于Hough变换圆检测和边缘模板匹配的轴承缺陷检测与定位[J]. 安徽工程大学学报, 2020, 35(4): 60-68.
Duan Zhida, Wei Lisheng, Liu Xiaohui, et al. Bearing defect detection and location based on Hough transform circle detection and edge template matching [J]. Journal of Anhui Polytechnic University, 2020, 35(4): 60-68.
[19] 龚昕, 张楠. 基于Hough变换的圆检测算法的改进[J]. 信息技术, 2020, 44(6): 89-93, 98.
Gong Xin, Zhang Nan. Improvement of circle detection algorithm based on Hough transform [J]. Information Technology, 2020, 44(6): 89-93, 98.
|