Measurement and Influencing Factors of the Level of Integrated Development of Digital Economy and Forestry Industry in Zhejiang Province

被引：0
|
作者：
Zhai J. [1 ]
Yang H. [1 ]
Xu C. [2 ]
Kong F. [1 ,2 ]
机构：
[1] Institute of Digital Forestry & Green Development/College of Economics and Management, Nanjing Forestry University, Nanjing
[2] Rural Revitalization Academy of Zhejiang Province/Green Rural Revival Program Academy/College of Economics and Management, Zhejiang A & F University, Hangzhou
来源：
Linye Kexue/Scientia Silvae Sinicae | 2024年 / 60卷 / 05期
关键词：
digital economy; forestry industry; integrated development; Zhejiang;
D O I：
10.11707/j.1001-7488.LYKX20230477
中图分类号：
学科分类号：
摘要：
【 Objective】 By studying the level of integrated development of digital economy and forestry industry in 11 prefectural-level cities in Zhejiang Province, its spatial distribution characteristics, components and their external influencing factors, the integration mechanism of digital economy and forestry industry could be clarified to provide scientific basis for promoting the high-quality development of forestry industry in China. 【Method】 The evaluation index system of development level of digital economy is constructed from three dimensions of digital infrastructure, digital business scale, and digital technology innovation, and the index system of forestry industry development level is constructed from three dimensions of scale, structure, and efficiency. The panel data of 11 prefectural-level cities in Zhejiang Province from 2015 to 2021 is collected, and the entropy method, the coupled coordination model, the spatial analysis of the Moran index are applied to measure the integrated development level of the digital economy and the forestry industry, time evolution, regional differences and spatial distribution, and the panel data model is constructed to explore the main external factors affecting the development level. 【 Result】 1) The integrated development level of digital economy and forestry industry in 11 prefectural level cities in Zhejiang Province is relatively low, and there is an annual declining trend. 2) The spatial distribution of the integrated development level in most prefectural level cities in Zhejiang Province varies significantly, and there are negative or positive correlation characteristics in neighboring prefectural level cities. 3) The number of computers per 100 households of rural residents and the number of owned mobile telephones per 100 rural residents have the strongest correlation with the integrated development level. 4) Regional per capita GDP and traffic convenience have a significant negative effect on promoting the integrated development of digital economy and forestry industry, and the digital economy index has a significant positive effect on the integrated development level.【Conclusion】The integrated development level of digital economy and forestry industry in 11 prefectural level cities in Zhejiang Province from 2015 to 2021 shows a downward trend with no obvious spatial variations characteristics, and the various components of the digital economy and external factors affect the integration development level of digital economy and forestry industry in different directions and degrees. Therefore, Zhejiang Province needs to attach great importance to the integrated development of digital economy and forestry industry, and take the lead in creating a demonstration highland for high-quality development of the forestry industry empowered by digitization. © 2024 Chinese Society of Forestry. All rights reserved.
引用
收藏
页码：22 / 34
页数：12
相关论文
共 32 条
  • [1] Cong X N., Expression and mathematical property of coupling model, and its misuse in geographical science, Economic Geography, 39, 4, pp. 18-25, (2019)
  • [2] Guan H, Lei J L., Agricultural modernization empowered by data elements: mechanism of action, practical challenges and implementation strategies, China Business and Market, 36, 6, pp. 72-84, (2022)
  • [3] Hou F M, Li X Y, Xiao H, Et al., Digital economy enabling rural forestry development in China: theoretical framework, effect analysis and policy implications, World Forestry Research, 36, 2, pp. 1-6, (2023)
  • [4] Kong F B., Theorical and empirical research of performance evaluation for the policy of collective forestry property rights system reform: based on the perspective of income growth of 2484 farmers in Jiangxi Province, Scientia Silvae Sinicae, 44, 10, pp. 132-141, (2008)
  • [5] Kong F B, Cheng W J, Xu C Y., Does the development of digital economy improve the value transformation efficiency of forest ecological products: an empirical analysis in Lishui, Zhejiang Province, Chinese Rural Economy, 5, pp. 163-184, (2023)
  • [6] Li L., Research on the coupling and coordinated development of financial supply side and high technology industry, Journal of Technical Economics & Management, 12, pp. 95-101, (2018)
  • [7] Li Y L, Li Y T, Yang S Q., An empirical study on coupling and coordinated development of digital economy and sport industry in China based on coupling coordination degree model and grey correlation analysis, Journal of Shandong Sport University, 39, 3, pp. 42-52, (2023)
  • [8] Li Y Y., The grey relational analysis of industry structure and economic growth in Gansu Province, Enterprise Economy, 30, 5, pp. 20-23, (2011)
  • [9] Liao C B., Quantitative evaluation and classification system of coordinated development of environment and economy: a case study of the Pearl River Delta urban agglomeration, Tropical Geography, 2, pp. 76-82, (1999)
  • [10] Liu H, Yu Q Y., Value realization of forest ecological products in China: thoughts on the path, World Forestry Research, 35, 3, pp. 130-135, (2022)
1234