| Citation: |
Liu Peipei, Bai Wanting, HouJian, Chen Jianchen. Research on the Mechanism of Rural Industry Integration Enabled by Digital Countryside under the Background of Rural Revitalization[J]. Journal of Beijing Forestry University (Social Science). DOI: 10.13931/j.cnki.bjfuss.2024011
|
Digital rural development is an important part of the construction of digital China, and plays an important role in the development of China's rural industry and the realization of rural revitalization strategy. Based on the systematic analysis of the development trend and regional structure of digital countryside, this paper focuses on the study of the heterogeneous impact of digital countryside development on rural industry integration, and explores the mechanism of digital countryside development driving rural industry integration. Based on the provincial panel data from 2011 to 2021, an evaluation index system is constructed to measure the development level of digital countryside and the integration level of rural industry in each region of China using the entropy value method, and the threshold effect and internal mechanism between the two are analyzed using the panel threshold model. The results show that the development level of digital countryside in all regions of China is higher and shows an increasing trend year by year, and there is strong regional heterogeneity. There is a U-shaped relationship between digital rural development and rural industry integration, and there is a significant double threshold effect, the threshold values are 0.084 and 0.109, respectively. Therefore, it is necessary to accelerate the coordination of digital rural construction in various regions of China, fully consider the threshold effect of digital rural construction level in various regions, and establish a diversified driving path for rural industrial integration by combining traditional financial support for agriculture, regional trade opening, urbanization and rural fixed asset investment.
| [1] |
陈玉鑫,刘冰,邓祥征,等. 乡村振兴战略背景下农村产业发展脆弱性评估——基于农户调研数据的分析[J]. 农业现代化研究,2021,42(6):996-1005.
|
| [2] |
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.
|
| [3] |
SU,K.,WANG,R.,HAN,Z. et al. Examining the path of urban–rural industry convergence and its impacts on farmers'’ income growth:evidence from Xinjiang Uyghur Autonomous Region,China. [J]. Annals of Operations Research,2023:1-27. https://doi.org/10.1007/s10479-023-05762-z.
|
| [4] |
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.
|
| [5] |
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. doi: 10.18402/resci.2022.08.03
|
| [6] |
马香品,王星蕾. 数字乡村高质量发展的理论路径与影响因素[J]. 财经科学,2023(2):74-84. doi: 10.3969/j.issn.1000-8306.2023.02.008
|
| [7] |
孙淑惠,刘传明,陈晓楠. 数字乡村、网络溢出和农业绿色全要素生产率[J]. 中国农业资源与区划,2023,44(9):45-59.
|
| [8] |
ONITSUKA K,HOSHINO S. Inter-community networks of rural leaders and key people:case study on a rural revitalization program in Kyoto Prefecture,Japan[J]. Journal of Rural Studies,2018,61:123-136. doi: 10.1016/j.jrurstud.2018.04.008
|
| [9] |
ZIOLKOWSKAJ 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.
|
| [10] |
BASHIRM B,ADAM A G,ABUBAKAR J A,et al. The role of national farmers helps line in agricultural information dissemination among crop farmers in Nigeria:a case study of farmers help line centre,NAERLS ABU Zaria[J]. Journal of Agricultural Extension,2020,25(1):93-103.
|
| [11] |
ARNER D W,BARBERIS J,BUCKLEY R P. The evolution of Fintech:a new post-crisis paradigm[J]. Georgetown Journal of International Law,2015,47(4):1271-1319.
|
| [12] |
TIAN X J,WU M H,MA L,et al. Rural finance,scale management and rural industrial integration[J]. China Agricultural Economic Review,2020,12(2):349-365. doi: 10.1108/CAER-07-2019-0110
|
| [13] |
张子珍,邢赵婷. 数字经济下城乡融合系统高质量协调发展核心内涵及动态演化研究[J]. 统计与信息论坛,2023,38(3):84-96. doi: 10.3969/j.issn.1007-3116.2023.03.007
|
| [14] |
成康康,杜赫. 数字普惠金融对农村产业融合影响的实证检验[J]. 技术经济与管理研究,2022(8):91-96. doi: 10.3969/j.issn.1004-292X.2022.08.015
|
| [15] |
王定祥,冉希美. 农村数字化、人力资本与农村产业融合发展:基于中国省域面板数据的经验证据[J]. 重庆大学学报(社会科学版),2022,28(2):1-14.
|
| [16] |
程莉,孔芳霞. 长江上游地区农村产业融合发展水平测度及影响因素[J]. 统计与信息论坛,2020,35(1):101-111. doi: 10.3969/j.issn.1007-3116.2020.01.012
|
| [17] |
徐藜丹,邓祥征,姜群鸥,等. 中国县域多维贫困与相对贫困识别及扶贫路径研究[J]. 地理学报,2021,76(6):1455-1470. doi: 10.11821/dlxb202106010
|
| [18] |
周清香,李仙娥. 数字经济与农业高质量发展:内在机理与实证分析[J]. 经济体制改革,2022(6):82-89.
|
| [19] |
张林,温涛,刘渊博. 农村产业融合发展与农民收入增长:理论机理与实证判定[J]. 西南大学学报(社会科学版),2020,46(5):42-56,191-192.
|
| [20] |
李晓龙,冉光和. 农村产业融合发展如何影响城乡收入差距:基于农村经济增长与城镇化的双重视角[J]. 农业技术经济,2019(8):17-28.
|
| [21] |
李本庆,周清香,岳宏志. 数字乡村建设对产业兴旺影响的实证检验[J]. 统计与决策,2022,38(17):5-10.
|
| [22] |
李燕凌,温馨,高维新. 数字乡村与乡村振兴耦合协调发展的时序适配性分析[J]. 农业经济与管理,2022(4):1-12. doi: 10.3969/j.issn.1674-9189.2022.04.001
|
| [23] |
许敬辉,王乃琦,郭富林. 数字乡村发展水平评价指标体系构建与实证[J]. 统计与决策,2023,39(2):73-77.
|
| [24] |
王娜,耿云娇. 乡村振兴战略下金融支农的有效路径探索[J]. 南方农业,2021,15(2):144-145.
|
| [25] |
姚升. 科技创新赋能农村产业融合发展研究:基于空间计量及面板向量自回归模型的实证检验[J]. 技术经济与管理研究,2023(1):27-31. doi: 10.3969/j.issn.1004-292X.2023.01.005
|
| [26] |
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.
|
| [27] |
吴越菲. 技术如何更智慧:农村发展中的数字乡村性与智慧乡村建设[J]. 理论与改革,2022(5):94-108,150.
|
| [28] |
刘少杰,周骥腾. 数字乡村建设中“乡村不动”问题的成因与化解[J]. 学习与探索,2022(1):35-45.
|
| [29] |
张晓颖,王小林. 六次产业视角下我国农村产业融合的路径与发展:兼论日本六次产业化的启示[J]. 贵州社会科学,2023(1):152-160.
|
| [30] |
JENSEN F E. The farm credit system as a government:sponsored enterprise[J]. Applied Economic Perspectives and Policy,2000,22(2):326-335.
|
| [31] |
许月丽,孙昭君,李帅. 数字普惠金融与传统农村金融:替代抑或互补?——基于农户融资约束放松视角[J]. 财经研究,2022,48(6):34-48.
|
| [32] |
张东玲,范伟丽,陈景帅. 农村产业融合、绿色城镇化与城乡均衡发展的协同效应:基于线性与非线性关系的实证分析[J]. 重庆社会科学,2021(5):53-70.
|
| [33] |
汪木金,欧娟,廖婉丽. 困境与出路:“双循环”新发展格局下小农生产与现代农业有机衔接[J]. 经营与管理,2023(3):179-186.
|
Supported by: Beijing Renhe Information Technology Co., Ltd. 
DownLoad: