数字素养对农户参与产业融合影响的实证研究

doi:10.3969/j.issn.1004-1524.20240317

浙江农业学报 ›› 2025, Vol. 37 ›› Issue (6): 1360-1371.DOI: 10.3969/j.issn.1004-1524.20240317

数字素养对农户参与产业融合影响的实证研究

张曦(), 霍学喜^*()

西北农林科技大学经济管理学院,陕西杨凌 712100

收稿日期:2024-04-08 出版日期:2025-06-25 发布日期:2025-07-08
作者简介:张曦(1999—),男,山东泰安人,硕士研究生,主要从事农业经济理论与政策研究。E-mail:zxzy20210803@163.com
通讯作者: *霍学喜,E-mail:xuexihuo@nwafu.edu.cn
基金资助:
国家现代农业产业技术体系(CARS-28)

Empirical study on impact of digital literacy on farmers’ participation in industrial integration

ZHANG Xi(), HUO Xuexi^*()

College of Economics & Management, Northwest A&F University, Yangling 712100, Shaanxi, China

Received:2024-04-08 Online:2025-06-25 Published:2025-07-08

摘要/Abstract

摘要：

在数字经济背景下,探究数字素养对农户参与产业融合的影响,对于推动农村产业融合发展具有重要意义。本文基于2021年中国土地经济调查数据,使用Probit模型、IV-Probit模型等实证检验了数字素养对农户参与产业融合的影响及作用机制。研究表明,数字素养的提升可以有效促进农户参与产业融合,经过内生性与稳健性检验后,结论依然成立。机制分析显示,数字素养可以通过提高信息可得性、增强信贷获取促进农户参与产业融合。异质性分析表明,数字素养可以推动所有年龄段农户参与产业融合,但对低龄农户的影响相对更大;数字素养可以推动城郊地区农户参与产业融合,但对非城郊地区农户的影响不显著。因此,应坚持推动农村地区数字基础设施建设,建立乡村数字化教育体系,提高农村居民数字素养,发挥数字经济新优势,进一步促进农户参与产业融合。

关键词: 数字素养, 产业融合, 乡村产业振兴

Abstract:

In the context of digital economy, it is crucial to explore the impact of digital literacy on farmers’ participation in industrial integration to promote the development of rural industrial integration. Based on the 2021 China Land Economy Survey data, the impact and mechanism of digital literacy on farmers’ participation in industrial integration was empirically examined using Probit model and IV-Probit model. It was shown that the improvement of digital literacy could effectively promote farmers’ participation in industrial integration, and the conclusion was robust after endogeneity and robustness tests. Mechanism analysis results showed that digital literacy could promote farmers’ participation in industrial integration by improving information availability and enhancing access to credit. Heterogeneity analysis results revealed that the digital literacy could promote farmers’ participation of all ages in industrial integration, but the effect was relatively greater for young farmers. The digital literacy could promote farmers’ participation in suburban areas in industrial integration, but the effect on farmers in non-suburban areas was not significant. Therefore, the construction of digital infrastructure should be promoted persistently in rural areas, and a rural digital education system should be established, to improve the digital literacy of rural residents. Besides, the advantages of digital economy should be fully played, to further promote the participation of farmers in industrial integration.

Key words: digital literacy, industry integration, rural industry revitalization

中图分类号:

F323

张曦, 霍学喜. 数字素养对农户参与产业融合影响的实证研究[J]. 浙江农业学报, 2025, 37(6): 1360-1371.

ZHANG Xi, HUO Xuexi. Empirical study on impact of digital literacy on farmers’ participation in industrial integration[J]. Acta Agriculturae Zhejiangensis, 2025, 37(6): 1360-1371.

图/表 7

参考文献 50

[1]	苏毅清, 游玉婷, 王志刚. 农村一二三产业融合发展: 理论探讨、现状分析与对策建议[J]. 中国软科学, 2016(8): 17-28.
	SU Y Q, YOU Y T, WANG Z G. Convergence development of primary, secondary and tertiary industries: theoretical discussion, situation analysis and suggestions[J]. China Soft Science, 2016(8): 17-28. (in Chinese with English abstract)
[2]	江泽林. 农村一二三产业融合发展再探索[J]. 农业经济问题, 2021, 42(6): 8-18.
	JIANG Z L. Re-exploration of the integration and development of primary, secondary and tertiary industries in rural areas[J]. Issues in Agricultural Economy, 2021, 42(6): 8-18. (in Chinese with English abstract)
[3]	牛文涛, 郑景露, 唐轲. 农村三产融合赋能农民就业增收再审视: 基于河南省孟庄镇、龙湖镇、薛店镇的案例分析[J]. 农业经济问题, 2022, 43(8): 132-144.
	NIU W T, ZHENG J L, TANG K. Empowering farmers’ employment and income by integration of the three industries in rural areas: a case study of Mengzhuang Town, Longhu Town and Xuedian Town in Henan Province[J]. Issues in Agricultural Economy, 2022, 43(8): 132-144. (in Chinese with English abstract)
[4]	温涛, 刘渊博. 数字素养、金融知识与农户数字金融行为响应[J]. 财经问题研究, 2023(2): 50-64.
	WEN T, LIU Y B. Digital literacy, financial knowledge with farmers’ response to digital financial behavior[J]. Research on Financial and Economic Issues, 2023(2): 50-64. (in Chinese with English abstract)
[5]	李晓静, 陈哲, 夏显力. 数字素养对农户创业行为的影响: 基于空间杜宾模型的分析[J]. 中南财经政法大学学报, 2022(1): 123-134.
	LI X J, CHEN Z, XIA X L. The impact of digital literacy on farmers’ entrepreneurial behavior: an analysis based on the spatial Durbin model[J]. Journal of Zhongnan University of Economics and Law, 2022(1): 123-134. (in Chinese with English abstract)
[6]	杨佳利, 吴从亮. 数字素养、电商认知与农户电商参与行为: 基于湘粤地区528份调查数据[J]. 湖南农业大学学报(社会科学版), 2023, 24(6): 23-34.
	YANG J L, WU C L. Mechanism of digital literacy, e-commerce cognition and farmers’ e-commerce participation behavior: based on 528 survey data from Hunan and Guangdong Provinces[J]. Journal of Hunan Agricultural University(Social Sciences), 2023, 24(6): 23-34. (in Chinese with English abstract)
[7]	王汉杰. 数字素养与农户收入: 兼论数字不平等的形成[J]. 中国农村经济, 2024(3): 86-106.
	WANG H J. Digital literacy and rural household income: the formation of digital inequality[J]. Chinese Rural Economy, 2024(3): 86-106. (in Chinese with English abstract)
[8]	王杰, 蔡志坚, 吉星. 数字素养、农民创业与相对贫困缓解[J]. 电子政务, 2022(8): 15-31.
	WANG J, CAI Z J, JI X. Digital literacy, farmers’ entrepreneurship and relative poverty alleviation[J]. E-Government, 2022(8): 15-31. (in Chinese)
[9]	杨柠泽, 王艺蔚, 孙学涛. 数字素养与农户共同富裕: 影响效应及其机制[J]. 广东财经大学学报, 2023, 38(6): 21-32.
	YANG N Z, WANG Y W, SUN X T. Digital literacy and farmers’ common prosperity: effects and mechanisms[J]. Journal of Guangdong University of Finance & Economics, 2023, 38(6): 21-32. (in Chinese with English abstract)
[10]	杜凤君, 赵晓颖, 郑军, 等. 数字素养能否促进农户绿色生产?: 基于CLES数据[J]. 世界农业, 2023(10): 97-109.
	DU F J, ZHAO X Y, ZHENG J, et al. Can digital literacy promote green production for farmers?: based on CLES data[J]. World Agriculture, 2023(10): 97-109. (in Chinese with English abstract)
[11]	孙子烨, 宫思羽, 余志刚. 数字素养对农户绿色生产技术采纳的影响[J]. 中国农业大学学报, 2024, 29(4): 12-26.
	SUN Z Y, GONG S Y, YU Z G. Influence of digital literacy on farmers’ green production technology adoption behavior[J]. Journal of China Agricultural University, 2024, 29(4): 12-26. (in Chinese with English abstract)
[12]	张鹏, 李小红, 吴雨. 农户数字素养对化学农药减量使用的影响及其机制研究[J]. 中国软科学, 2024(2): 64-73.
	ZHANG P, LI X H, WU Y. Impact of farmers’ digital literacy on pesticide reduction and their mechanism[J]. China Soft Science, 2024(2): 64-73. (in Chinese with English abstract)
[13]	曾龙, 陈淑云, 付振奇. 土地规模化经营对农村产业融合发展的影响及作用机制[J]. 资源科学, 2022, 44(8): 1560-1576.
	ZENG L, CHEN S Y, FU Z Q. Impact of large-scale land management on rural industrial integrated development and mechanism[J]. Resources Science, 2022, 44(8): 1560-1576. (in Chinese with English abstract)
[14]	望超凡. 村社主导: 资本下乡推动农村产业振兴的实践路径[J]. 西北农林科技大学学报(社会科学版), 2021, 21(3): 28-36.
	WANG C F. Village community leading: the organizational path of capital going to the countryside to promote the revitalization of rural industries[J]. Journal of Northwest A&F University(Social Science Edition), 2021, 21(3): 28-36. (in Chinese with English abstract)
[15]	何志武, 陈天明. 乡村振兴与“能人” 回乡: 农村产业转型观念的创新扩散机制研究[J]. 西南民族大学学报(人文社会科学版), 2022, 43(10): 136-143.
	HE Z W, CHEN T M. Rural revitalization and “capable people” returning village: research on the innovative diffusion mechanism of the concept of rural industrial transformation[J]. Journal of Southwest Minzu University(Humanities and Social Science), 2022, 43(10): 136-143. (in Chinese with English abstract)
[16]	ZANELLO G, SRINIVASAN C S. Information sources, ICTs and price information in rural agricultural markets[J]. The European Journal of Development Research, 2014, 26(5): 815-831.
[17]	ZIOLKOWSKA J R. Economic value of environmental and weather information for agricultural decisions: a case study for Oklahoma Mesonet[J]. Agriculture, Ecosystems & Environment, 2018, 265: 503-512.
[18]	YANG X, SHU L, CHEN J N, et al. A survey on smart agriculture: development modes, technologies, and security and privacy challenges[J]. IEEE/CAA Journal of Automatica Sinica, 2021, 8(2): 273-302.
[19]	张林, 温涛. 数字普惠金融如何影响农村产业融合发展[J]. 中国农村经济, 2022(7): 59-80.
	ZHANG L, WEN T. How does digital inclusive finance affect the integrated development of rural industries?[J]. Chinese Rural Economy, 2022(7): 59-80. (in Chinese with English abstract)
[20]	田野, 刘勤, 黄进. 数字经济赋能乡村产业振兴的作用机理: 基于湖北省秭归县三个典型乡镇的案例分析[J]. 农业经济问题, 2023, 44(12): 36-46.
	TIAN Y, LIU Q, HUANG J. The mechanism of digital economy enabling rural industrial revitalization: based on the case analysis of three typical towns in Zigui County, Hubei Province[J]. Issues in Agricultural Economy, 2023, 44(12): 36-46. (in Chinese with English abstract)
[21]	孟维福, 郑素兰, 刘婧涵. 数字经济促进农村产业融合的影响机制与实证检验[J]. 财经理论与实践, 2023, 44(5): 84-91.
	MENG W F, ZHENG S L, LIU J H. The influence mechanism and empirical test of digital economy promoting rural industrial integration[J]. The Theory and Practice of Finance and Economics, 2023, 44(5): 84-91. (in Chinese with English abstract)
[22]	邱书钦, 滕剑仑. 数字经济对农村三次产业融合发展影响的实证检验[J]. 统计与决策, 2024, 40(5): 67-72.
	QIU S Q, TENG J L. Empirical test of impact of digital economy on integrated development of rural three industries[J]. Statistics & Decision, 2024, 40(5): 67-72. (in Chinese with English abstract)
[23]	GILSTER P. Digital literacy[M]. [s. l.]: John Wiley & Sons, Inc., 1997.
[24]	ESHET-ALKALAI Y. Digital literacy: a conceptual framework for survival skills in the digital era[J]. Journal of Educational Multimedia and Hypermedia, 2004, 13: 93-106.
[25]	MARTIN A, GRUDZIECKI J. DigEuLit: concepts and tools for digital literacy development[J]. Innovation in Teaching and Learning in Information and Computer Sciences, 2006, 5(4): 249-267.
[26]	LAW N, WOO D, TORRE J, et al. A global framework of reference on digital literacy skills for indicator 4.4.2[EB/OL].[2024-04-08]. https://uis.unesco.org/sites/default/files/documents/ip51-global-framework-reference-digital-literacy-skills-2018-en.pdf
[27]	王佑镁, 杨晓兰, 胡玮, 等. 从数字素养到数字能力: 概念流变、构成要素与整合模型[J]. 远程教育杂志, 2013, 31(3): 24-29.
	WANG Y M, YANG X L, HU W, et al. Conception continuum, system elements and integrated model: from digital literacy to digital competence[J]. Journal of Distance Education, 2013, 31(3): 24-29. (in Chinese with English abstract)
[28]	苏岚岚, 张航宇, 彭艳玲. 农民数字素养驱动数字乡村发展的机理研究[J]. 电子政务, 2021(10): 42-56.
	SU L L, ZHANG H Y, PENG Y L. Study on the mechanism of farmers’ digital literacy driving the development of digital countryside[J]. E-Government, 2021(10): 42-56. (in Chinese)
[29]	李强, 孟如. 数字素养是乡村生活数字化转型的驱动力吗? : 基于山东省1 037位农村居民的调研数据[J]. 西北农林科技大学学报(社会科学版), 2024, 24(2): 140-150.
	LI Q, MENG R. Is digital literacy the driving force for the digital transformation of rural life?: based on the survey data of 1 037 rural residents in Shandong Province[J]. Journal of Northwest A&F University(Social Science Edition), 2024, 24(2): 140-150. (in Chinese with English abstract)
[30]	赵霞, 韩一军, 姜楠. 农村三产融合: 内涵界定、现实意义及驱动因素分析[J]. 农业经济问题, 2017, 38(4): 49-57.
	ZHAO X, HAN Y J, JIANG N. Integration of three industries in rural areas: connotation definition, realistic meanings and driving factors analysis[J]. Issues in Agricultural Economy, 2017, 38(4): 49-57. (in Chinese with English abstract)
[31]	赵雪, 石宝峰, 盖庆恩, 等. 以融合促振兴: 新型农业经营主体参与产业融合的增收效应[J]. 管理世界, 2023, 39(6): 86-100.
	ZHAO X, SHI B F, GAI Q E, et al. Promoting revitalization through integration: the income increase effect of new type of agricultural operating entities participating in industrial integration[J]. Journal of Management World, 2023, 39(6): 86-100. (in Chinese with English abstract)
[32]	郭军, 张效榕, 孔祥智. 农村一二三产业融合与农民增收: 基于河南省农村一二三产业融合案例[J]. 农业经济问题, 2019, 40(3): 135-144.
	GUO J, ZHANG X R, KONG X Z. The convergence of primary, secondary and tertiary industries and farmers’ income generation: one case study of convergence of primary, secondary and tertiary industries in rural areas of Henan Province[J]. Issues in Agricultural Economy, 2019, 40(3): 135-144. (in Chinese with English abstract)
[33]	朱秀梅, 刘月, 陈海涛. 数字创业: 要素及内核生成机制研究[J]. 外国经济与管理, 2020, 42(4): 19-35.
	ZHU X M, LIU Y, CHEN H T. Digital entrepreneurship: research on its elements and core generation mechanism[J]. Foreign Economics & Management, 2020, 42(4): 19-35. (in Chinese with English abstract)
[34]	姜长云. 发展数字经济引领带动农业转型和农村产业融合[J]. 经济纵横, 2022(8): 41-49.
	JIANG C Y. Developing digital economy to drive the agricultural transformation and rural industrial integration[J]. Economic Review Journal, 2022(8): 41-49. (in Chinese with English abstract)
[35]	庞金波, 吴迺霖. 数字普惠金融对农村产业融合发展的影响效应与机制研究[J]. 湖北民族大学学报(哲学社会科学版), 2023, 41(2): 94-103.
	PANG J B, WU N L. Research on the effect and mechanism of digital inclusive finance on integrated development of rural industries[J]. Journal of Hubei Minzu University(Philosophy and Social Sciences), 2023, 41(2): 94-103. (in Chinese with English abstract)
[36]	DIMAGGIO P, BONIKOWSKI B. Make money surfing the web?: the impact of Internet use on the earnings of U.S. workers[J]. American Sociological Review, 2008, 73(2): 227-250.
[37]	陈一明, 温涛, 向栩. 数字金融能促进新型农业经营主体的乡村产业融合发展吗? : 以湖南省实地调研为例[J]. 农村经济, 2022(9): 89-97.
	CHEN Y M, WEN T, XIANG X. Can digital finance promote the integrated development of rural industries operated by new-typed agricultural entity?[J]. Rural Economy, 2022(9): 89-97. (in Chinese with English abstract)
[38]	叶兴庆. 迈向2035年的中国乡村:愿景、挑战与策略[J]. 管理世界, 2021, 37(4): 98-112.
	YE X Q. China’s rural areas toward 2035: vision, challenges and strategies[J]. Journal of Management World, 2021, 37(4): 98-112. (in Chinese with English abstract)
[39]	张岳, 周应恒. 数字普惠金融、传统金融竞争与农村产业融合[J]. 农业技术经济, 2021(9): 68-82.
	ZHANG Y, ZHOU Y H. Digital financial inclusion, traditional financial competition, and rural industry integration[J]. Journal of Agrotechnical Economics, 2021(9): 68-82. (in Chinese with English abstract)
[40]	WELTER F, SMALLBONE D. Institutional perspectives on entrepreneurial behavior in challenging environments[J]. IEEE Engineering Management Review, 2014, 42(2): 35-50.
[41]	李祎雯, 张兵. 非正规金融对农村家庭创业的影响机制研究[J]. 经济科学, 2016(2): 93-105.
	LI Y W, ZHANG B. Study on the influence mechanism of informal finance on rural family entrepreneurship[J]. Economic Science, 2016(2): 93-105. (in Chinese)
[42]	Francis E, Blumenstock J, Robinson J. Digital credit: a snapshot of the current landscape and open research questions[EB/OL]. (2017-07-11)[202-04-08]. https://escholarship.org/uc/item/88r1j7sz.
[43]	程名望, 张家平. 互联网普及与城乡收入差距: 理论与实证[J]. 中国农村经济, 2019(2): 19-41.
	CHENG M W, ZHANG J P. Internet popularization and urban-rural income gap: a theoretical and empirical analysis[J]. Chinese Rural Economy, 2019(2): 19-41. (in Chinese with English abstract)
[44]	CULL R, GAN L, GAO N, et al. Social capital, finance, and consumption: evidence from a representative sample of Chinese households[J]. Journal of Banking & Finance, 2022, 145: 106637.
[45]	江艇. 因果推断经验研究中的中介效应与调节效应[J]. 中国工业经济, 2022(5): 100-120.
	JIANG T. Mediating effects and moderating effects in causal inference[J]. China Industrial Economics, 2022(5): 100-120. (in Chinese with English abstract)
[46]	付阳奇, 朱玉春, 刘天军. 村庄产业融合对农地再配置的影响: 来自江苏省的微观证据[J]. 中国农村观察, 2023(4): 109-128.
	FU Y Q, ZHU Y C, LIU T J. The effect of rural industrial integration on the reallocation of farmland: micro evidence from Jiangsu Province[J]. China Rural Survey, 2023(4): 109-128. (in Chinese with English abstract)
[47]	罗磊, 傅新红, 刘宇荧, 等. 新冠肺炎疫情风险感知、数字素养与农户电商参与意愿: 基于柑橘种植农户调查数据分析[J]. 农业技术经济, 2024(2): 56-72.
	LUO L, FU X H, LIU Y Y, et al. Risk perception, digital literacy and farmers’ willingness to participate in E-commerce during the outbreak of COVID-19: an analysis based on the survey data of citrus farmers[J]. Journal of Agrotechnical Economics, 2024(2): 56-72. (in Chinese with English abstract)
[48]	张岳, 易福金. 乡村数字治理的幸福效应[J]. 南京农业大学学报(社会科学版), 2023, 23(5): 152-164.
	ZHANG Y, YI F J. The impact of rural digital governance on happiness[J]. Journal of Nanjing Agricultural University(Social Sciences Edition), 2023, 23(5): 152-164. (in Chinese with English abstract)
[49]	刘聪, 钱龙. 信贷支持对农户农业创业的影响[J]. 华南农业大学学报(社会科学版), 2022, 21(5): 100-113.
	LIU C, QIAN L. Impact of credit support on agricultural entrepreneurship[J]. Journal of South China Agricultural University(Social Science Edition), 2022, 21(5): 100-113. (in Chinese with English abstract)
[50]	苏岚岚, 彭艳玲. 农民数字素养、乡村精英身份与乡村数字治理参与[J]. 农业技术经济, 2022(1): 34-50.
	SU L L, PENG Y L. Farmers’ digital literacy, elite identity and participation in rural digital governance[J]. Journal of Agrotechnical Economics, 2022(1): 34-50. (in Chinese with English abstract)

农村产业融合模式 Rural industrial integration model	具体形式 Concrete form
农业内部融合型 Intra-agricultural integration	林下养鸡、稻田养鱼、稻鸭共生等现代种养业 Modern aquaculture such as raising chickens in the forest, rice-fish co-culture, rice-duck symbiosis, etc
产业链延伸型 Industry chain extension	加工企业+农户等 Processing enterprises+farmers, etc
多功能拓展型 Multi-functional expansion	农家乐、观光农业等 Agritainment, tourist agriculture, etc
技术渗透型 Technology penetration	农村电商等 Rural e-commerce, etc

农村产业融合模式 Rural industrial integration model	具体形式 Concrete form
农业内部融合型 Intra-agricultural integration	林下养鸡、稻田养鱼、稻鸭共生等现代种养业 Modern aquaculture such as raising chickens in the forest, rice-fish co-culture, rice-duck symbiosis, etc
产业链延伸型 Industry chain extension	加工企业+农户等 Processing enterprises+farmers, etc
多功能拓展型 Multi-functional expansion	农家乐、观光农业等 Agritainment, tourist agriculture, etc
技术渗透型 Technology penetration	农村电商等 Rural e-commerce, etc

变量 Variable	变量符号 Variable symbol	变量定义 Definition	均值 Mean	标准差 Standard deviation
是否参与产业融合 Participation in industrial integration	R	农户参与任何一种农村产业融合模式都视其参与了融合,赋值为1,反之为0 Farmers’ participation in any form of rural industrial integration is considered as their participation in the integration, with a value of 1, otherwise, the value is 0	0.044	0.206
数字素养Digital literacy	D	采用熵值法综合计算Calculated by entropy method	0.114	0.131
性别Gender	X₁	户主性别:男=1,女=0 Sex of the household head, male=1, female=0	0.933	0.250
年龄Age	X₂	户主的年龄Age of the household head	62.715	10.422
受教育水平Education	X₃	户主实际受教育年限Actual years of schooling of the household head/a	7.144	3.779
健康状况 Health status	X₄	户主自我认定的健康状况:丧失劳动能力=1;差=2;中=3;良=4;优=5 Self-identified health status of the household head: incapacitated=1; poor=2; moderate=3; good=4; excellent=5	3.995	1.097
家庭规模Family size	X₅	家庭总人口Total household population	4.107	1.737
农业从事情况 Agricultural activity	X₆	家庭是否从事农业活动:是=1,否=0 Whether the household is engaged in agricultural activities: yes=1, no=0	0.747	0.435
村干部户 Village cadre	X₇	家庭成员中是否有村干部:是=1,否=0 Whether there is a village cadre among the household members: yes=1, no=0	0.145	0.353
党员户 Member of Communist Party of China	X₈	家庭成员中是否有党员:是=1,否=0 Whether there is a member of Communist Party of China in the household: yes=1, no=0	0.314	0.464
医疗保障 Medical insurance	X₉	家庭所有成员是否都有医疗保险:是=1,否=0 Whether all members of the household have health insurance: yes=1, no=0	0.936	0.246
风险偏好 Risk appetite	X₁₀	农户风险偏好程度:低风险低收益=1,中风险中收益=2,高风险高收益=3 Degree of risk appetite of farmers: low risk and low return=1, medium risk and medium benefit=2,high risk and high return=3	1.286	0.555
村庄经济发展水平 Village economic development	X₁₁	全村人均纯收入(元),加1后取自然对数 The natural logarithmic value of the village-wide net income per capita (yuan) plus 1	10.059	0.548
村庄交通状况 Village transportation	X₁₂	村里是否有与邻近的任一国省道或县乡道等路线便捷相衔接的硬化路:是=1,否=0 Whether there is a hardened road in the village that conveniently connects to any of the neighboring national or provincial highways or county and township roads, etc.: yes=1, no=0	0.931	0.253
信息可得性 Information availability	M₁	依照农户平时对经济、金融方面信息的关注程度赋值1~5 Assignment of 1-5 based on farmers’ usual interest in economic and financial information	1.555	0.880
信贷获取 Credit access	M₂	是否发生借贷行为:是=1,否=0 Whether to borrow money from others: yes=1, no=0	0.203	0.403

变量 Variable	变量符号 Variable symbol	变量定义 Definition	均值 Mean	标准差 Standard deviation
是否参与产业融合 Participation in industrial integration	R	农户参与任何一种农村产业融合模式都视其参与了融合,赋值为1,反之为0 Farmers’ participation in any form of rural industrial integration is considered as their participation in the integration, with a value of 1, otherwise, the value is 0	0.044	0.206
数字素养Digital literacy	D	采用熵值法综合计算Calculated by entropy method	0.114	0.131
性别Gender	X₁	户主性别:男=1,女=0 Sex of the household head, male=1, female=0	0.933	0.250
年龄Age	X₂	户主的年龄Age of the household head	62.715	10.422
受教育水平Education	X₃	户主实际受教育年限Actual years of schooling of the household head/a	7.144	3.779
健康状况 Health status	X₄	户主自我认定的健康状况:丧失劳动能力=1;差=2;中=3;良=4;优=5 Self-identified health status of the household head: incapacitated=1; poor=2; moderate=3; good=4; excellent=5	3.995	1.097
家庭规模Family size	X₅	家庭总人口Total household population	4.107	1.737
农业从事情况 Agricultural activity	X₆	家庭是否从事农业活动:是=1,否=0 Whether the household is engaged in agricultural activities: yes=1, no=0	0.747	0.435
村干部户 Village cadre	X₇	家庭成员中是否有村干部:是=1,否=0 Whether there is a village cadre among the household members: yes=1, no=0	0.145	0.353
党员户 Member of Communist Party of China	X₈	家庭成员中是否有党员:是=1,否=0 Whether there is a member of Communist Party of China in the household: yes=1, no=0	0.314	0.464
医疗保障 Medical insurance	X₉	家庭所有成员是否都有医疗保险:是=1,否=0 Whether all members of the household have health insurance: yes=1, no=0	0.936	0.246
风险偏好 Risk appetite	X₁₀	农户风险偏好程度:低风险低收益=1,中风险中收益=2,高风险高收益=3 Degree of risk appetite of farmers: low risk and low return=1, medium risk and medium benefit=2,high risk and high return=3	1.286	0.555
村庄经济发展水平 Village economic development	X₁₁	全村人均纯收入(元),加1后取自然对数 The natural logarithmic value of the village-wide net income per capita (yuan) plus 1	10.059	0.548
村庄交通状况 Village transportation	X₁₂	村里是否有与邻近的任一国省道或县乡道等路线便捷相衔接的硬化路:是=1,否=0 Whether there is a hardened road in the village that conveniently connects to any of the neighboring national or provincial highways or county and township roads, etc.: yes=1, no=0	0.931	0.253
信息可得性 Information availability	M₁	依照农户平时对经济、金融方面信息的关注程度赋值1~5 Assignment of 1-5 based on farmers’ usual interest in economic and financial information	1.555	0.880
信贷获取 Credit access	M₂	是否发生借贷行为:是=1,否=0 Whether to borrow money from others: yes=1, no=0	0.203	0.403

变量 Variable	回归结果Regression results
变量 Variable	回归1 Regression 1	回归2 Regression 2	回归3 Regression 3	回归4 Regression 4
D	2.442^*** (0.425)	2.048^*** (0.478)	1.795^*** (0.478)	1.803^*** (0.479)
X₁	—	0.271 (0.330)	0.308 (0.328)	0.348 (0.324)
X₂	—	-0.005 (0.008)	-0.004 (0.008)	-0.005 (0.008)
X₃	—	0.019 (0.023)	0.012 (0.024)	0.010 (0.024)
X₄	—	0.094 (0.073)	0.076 (0.071)	0.078 (0.072)
X₅	—	—	-0.013 (0.051)	-0.016 (0.052)
X₆	—	—	0.201 (0.157)	0.208 (0.157)
X₇	—	—	0.093 (0.183)	0.094 (0.183)
X₈	—	—	0.365^** (0.155)	0.376^** (0.152)
X₉	—	—	-0.266 (0.269)	-0.289 (0.270)
X₁₀	—	—	0.194^* (0.107)	0.195^* (0.108)
X₁₁	—	—	—	0.433^* (0.247)
X₁₂	—	—	—	0.393 (0.487)
常数项 Constant term	-2.432^*** (0.311)	-2.905^*** (0.829)	-3.028^*** (0.875)	-7.661^*** (2.505)
伪R² Pseudo R²	0.133	0.143	0.171	0.176

数字素养对农户参与产业融合影响的实证研究

Empirical study on impact of digital literacy on farmers’ participation in industrial integration

RichHTML

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

图/表 7

参考文献 50

相关文章 4

编辑推荐

Metrics

本文评价

变量 Varabile	回归结果Regression results
变量 Varabile	第一阶段 Phase 1	第二阶段 Phase 2
D	—	9.556^*** (0.846)
T	0.224^** (0.105)	—
内生性检验 Endogeneity test (H₀:ρ=0)	4.17^**	—
常数项 Constant term	0.159^* (0.095)	-4.797^* (2.737)

变量 Variable	回归结果Regression results
变量 Variable	回归5 Regression 5	回归6 Regression 6	回归7 Regression 7
D	3.492^*** (0.967)	1.803^*** (0.485)	0.189^* (0.101)
常数项 Constant term	-15.061^** (6.115)	-7.661^*** (2.289)	0.149 (0.286)
R²	—	—	0.066
伪R² Pseudo R²	0.171	0.176	—

变量 Variable	回归结果Regression results
变量 Variable	低年龄组农户 Young farmer group	高年龄组农户 Aged farmer group	居住在城郊地区 Residing in suburban areas	居住在非城郊地区 Residing in non-suburban areas
D	2.517^*** (0.647)	2.202^* (1.153)	2.571^*** (0.762)	0.813 (0.687)
常数项 Constant term	-8.607^*** (3.027)	-10.959^** (5.252)	-13.503^** (6.274)	-3.910 (4.000)
样本量Sample size	500	357	478	688
伪R² Pseudo R²	0.193	0.134	0.208	0.172

[1]	魏超, 陈盛伟, 牛浩, 李政. 农业保险保障水平与农业收入的“倒U型”关系——基于农业产业融合视角[J]. 浙江农业学报, 2024, 36(1): 225-234.
[2]	方相, 杨钢桥, 黄丹. 农村产业融合的多功能绩效评价与障碍因子分析[J]. 浙江农业学报, 2021, 33(5): 932-943.
[3]	王丽英, 丁姝羽, 刘后平. 农村产业融合与农民收入增长——基于空间效应与门槛效应的实证研究[J]. 浙江农业学报, 2021, 33(4): 761-776.
[4]	李瑾, 贾娜, 郭美荣, 马晨. “互联网+”种业下的产业融合与产业链分析[J]. 浙江农业学报, 2018, 30(3): 479-488.