数字乡村建设对浙江省山区26县林业产业发展升级的影响

doi:10.11707/j.1001-7488.LYKX20230522

摘要/Abstract

摘要：

目的: 在加快推进数字经济与实体经济深度融合赋能现代产业体系的背景下，研究数字乡村建设对林业产业发展升级的影响机制，为森林资源富集地区制定数字赋能林业产业高质量发展的政策策略提供科学依据。方法: 基于浙江省山区26县2001—2021年面板数据，构建县域数字乡村建设水平评价指标体系测度数字乡村建设水平，采用双向固定效应模型、中介效应模型、门槛效应模型和空间杜宾模型等量化分析数字乡村建设对林业产业发展升级的影响及其作用机制。结果: 1） 2001—2021年浙江省山区26县数字乡村建设水平呈增长态势，其中跨越发展县的数字乡村建设水平高于生态发展县；林业产业发展规模不断扩大，但区域间差异明显且两极分化较严重；林业产业结构合理化程度小幅上升，林业产业结构高级化程度波动上升。2）数字乡村建设能够促进林业产业发展升级，即数字乡村建设对林业产业发展规模、林业产业结构合理化和林业产业高级化均产生显著正向影响；数字乡村建设对林业产业结构合理化和林业产业结构高级化的影响存在门槛效应。3）数字乡村建设能够通过技术赋能、劳动力赋能和治理赋能等路径促进林业产业发展升级。4）数字乡村建设对林业产业发展升级存在正向空间溢出效应；数字乡村建设能够显著促进本地区林业产业发展规模、林业产业结构合理化和林业产业结构高级化，同时对邻近地区的林业产业发展规模、林业产业结构合理化和林业产业结构高级化产生显著正向影响。结论: 2001—2021年浙江省山区26县数字乡村建设水平不断提高，林业产业发展升级状况向好，技术应用水平、人力资本水平和森林生态产品价值实现效率等因素在不同程度上影响数字乡村建设、促进林业产业发展。各县域单元需加快推进数字乡村建设，从创新技术运用、大力引进人才、提升林业部门生态治理能力和林业企业经营管理水平以及培育林业龙头企业并发挥辐射带动作用等方面发力，因地制宜，分类施策，推动山区县林业产业发展升级，打造数字赋能现代林业产业高质量发展的示范样板。

关键词: 数字乡村建设, 林业产业发展, 产业结构合理化, 产业结构高级化, 浙江省

Abstract:

Objective: Under the background of accelerating the promotion of the deep integration of the digital economy and the real economy to empower high-quality development of the modern forestry industry, studying the influence mechanism of digital rural construction on the development and upgrading of forestry industry can provide a scientific basis for formulating policies and strategies for high-quality development of forestry by digital empowerment in areas rich in forest resources. Method: Based on the panel data of 26 mountainous counties in Zhejiang Province from 2001 to 2021, we built the evaluation index system of county digital rural construction level to measure the level of digital rural construction, and the two-way fixed effect model, intermediary effect model, threshold effect model, and spatial Durbin model were used to quantitatively analyze the impact of digital rural construction on the development and upgrading of forestry industry and its mechanism. Result: 1) From 2001 to 2021, the level of digital rural construction in 26 mountainous counties in Zhejiang Province showed an increasing trend, among which the level of digital rural construction in cross-development counties was higher than that in ecological development counties. From 2001 to 2021, the scale of forestry industry development in 26 mountainous counties of Zhejiang Province continued to expand, but there were obvious regional differences and serious polarization. From 2001 to 2021, the rationalization of forestry industry structure in 26 mountainous counties of Zhejiang Province increased slightly, and the degree of advanced forestry industry structure volatility rose. 2) Digital rural construction can promote the development and upgrading of forestry industry, which means digital rural construction has a significant positive impact on the development scale of forestry industry, rationalization of forestry industry structure, and advanced forestry industry. There is a threshold effect on the impact of digital rural construction on the rationalization of forestry industry structure and the advanced forestry industry structure. 3) Digital rural construction can promote the development and upgrading of the forestry industry through technology empowerment, labor empowerment, and governance empowerment. 4) There is a positive spatial spillover effect of digital rural construction on the development and upgrading of forestry industry. The digital rural construction can significantly promote the development scale of forestry industry, rationalization of local forestry industry structure, and advanced forestry industry structure, at the same time, it has a significant positive impact on the development scale, rationalization of forestry industry structure and advanced forestry industry structure in neighboring areas. Conclusion: From 2001 to 2021, the level of digital rural construction in 26 mountainous counties of Zhejiang Province continued to improve, the development and upgrading of forestry industry were improving, and factors such as technology application level, human capital level, and value realization efficiency of forest ecological products affected the digital rural construction to promote the development of forestry industry to varying degrees. Therefore, all county units need to accelerate the digital rural construction and make efforts in terms of the application of innovative technologies, vigorously introducing talents, improving the ecological governance capabilities of the forestry sector and the operation and management level of forestry enterprises, and cultivating leading forestry enterprises and giving play to the role of radiation and driving force, adapt to local conditions and carry out categorized policies. Thus, it will promote the development and upgrading of forestry industry in mountainous counties, and create a demonstration model for the construction of high-quality development of forestry with digital empowerment.

Key words: digital rural construction, forestry industry development, rationalization of the structure of the forestry industry, upgrading of the structure of the forestry industry, Zhejiang Province

中图分类号:

徐彩瑶,任燕,翟郡,孔凡斌. 数字乡村建设对浙江省山区26县林业产业发展升级的影响[J]. 林业科学, 2024, 60(5): 67-88.

Caiyao Xu,Yan Ren,Jun Zhai,Fanbin Kong. Impact of Digital Rural Construction on Development and Upgrading of Forestry Industry of 26 Counties in Mountainous Regions of Zhejiang Province[J]. Scientia Silvae Sinicae, 2024, 60(5): 67-88.

图/表 20

图1

表1

表2

图2

表3

图3

表4

2001—2021年浙江省山区26县林业产业发展规模①"

山区县 Mountainous counties	2001	2005	2010	2015	2021	类型Type
苍南县Cangnan	983.498 4	1 614.779 0	5 345.965 3	6 630.007 2	8 625.346 2	1
常山县Changshan	4 179.978 7	4 249.041 1	11 948.140 8	13 534.198 6	11 566.723 3	2
淳安县Chun’an	20 111.000 0	26 209.686 0	26 108.376 6	43 874.575 9	44 105.907 5	2
江山市Jiangshan	9 845.430 3	4 513.749 3	11 429.018 2	13 728.898 6	16 129.801 4	1
缙云县Jinyun	5 975.000 0	6 332.584 0	11 533.841 0	13 660.352 5	13 445.562 3	1
景宁县Jingning	6 088.000 0	6 249.566 3	10 203.589 2	11 202.903 7	9 769.963 2	2
开化县Kaihua	10 536.008 3	5 843.090 6	15 178.514 8	21 457.101 0	17 730.982 7	2
柯城区Kecheng	230.540 4	194.466 7	468.075 6	4 362.153 9	8 796.741 9	1
莲都区Liandu	7 420.833 3	7 724.789 4	14 140.269 5	15 606.622 8	20 073.404 1	1
龙泉市Longquan	17 233.000 0	17 153.930 6	26 849.623 8	32 960.440 6	30 451.941 5	2
龙游县Longyou	7 531.681 2	5 958.043 6	11 568.782 0	13 578.680 6	11 364.732 0	1
磐安县Pan’an	2 375.842 0	6 214.478 5	10 965.634 6	11 819.089 0	11 538.508 6	2
平阳县Pingyang	3 448.499 3	2 647.510 0	4 297.736 8	5 687.134 4	9 654.539 6	1
青田县Qingtian	5 878.000 0	4 473.985 5	6 930.786 9	11 891.281 1	10 744.009 8	1
庆元县Qingyuan	4 705.000 0	8 041.916 7	16 141.886 7	27 539.469 0	14 725.481 4	2
衢江区Qujiang	1 4842.210 5	9 432.606 4	18 199.243 1	20 733.721 4	18 050.962 4	1
三门县Sanmen	2 426.356 9	993.185 1	14 716.795 1	2 453.073 5	2 563.685 5	1
松阳县Songyang	8 348.000 0	8 017.011 4	12 300.878 0	16 548.766 3	17 925.279 0	1
遂昌县Suichang	11 908.000 0	12 478.378 3	25 169.962 5	30 123.800 9	22 969.288 6	2
泰顺县Taishun	2 899.860 9	2 417.789 7	4 217.039 8	4 641.442 6	4 590.010 3	2
天台县Tiantai	3 868.833 8	2 630.157 8	435.929 9	10 368.683 7	9 645.562 2	1
文成县Wencheng	2 453.570 5	939.611 0	3 034.658 7	4 304.727 2	6 354.482 4	2
武义县Wuyi	5 364.909 2	6 024.241 7	6 852.364 2	8 335.378 0	8 883.207 8	1
仙居县Xianju	6 123.858 1	4 616.527 9	12 165.273 9	14 910.224 1	10 747.216 0	1
永嘉县Yongjia	2 835.525 5	2 346.381 0	6 822.636 3	8 313.031 5	10 270.773 2	1
云和县Yunhe	3 716.000 0	3 249.309 6	2 665.495 3	3 923.167 5	5 074.789 2	2

表4

表5

2001—2021年浙江省山区26县林业产业结构升级①"

山区县 Mountainous counties	林业产业结构合理化 Rationalization of the structure of the forestry industry					林业产业结构高级化 Advanced of the structure of the forestry industry					类型 Type
山区县 Mountainous counties	2001	2005	2010	2015	2021	2001	2005	2010	2015	2021	类型 Type
苍南县 Cangnan	0.925 9	0.979 2	0.983 6	0.993 2	0.946 5	1.531 6	1.742 0	1.839 3	2.198 5	2.440 3	1
常山县 Changshan	0.822 2	0.986 7	0.663 0	0.874 8	0.833 8	1.786 3	1.883 2	1.856 5	1.886 6	1.886 8	2
淳安县 Chun’an	0.996 0	0.955 4	0.977 6	0.808 0	0.839 1	1.687 5	1.649 0	1.762 1	1.947 3	1.955 3	2
江山市 Jiangshan	0.929 6	0.997 4	0.772 4	0.855 2	0.861 9	1.786 3	1.883 2	1.856 5	1.886 6	1.887 2	1
缙云县 Jinyun	0.957 1	0.954 6	0.980 4	0.923 3	0.973 0	1.571 9	1.726 1	1.819 0	1.999 3	2.144 9	1
景宁县 Jingning	0.920 5	0.936 7	0.895 7	0.853 2	0.935 6	1.571 9	1.726 1	1.819 0	1.999 3	2.143 9	2
开化县 Kaihua	0.810 6	0.958 0	0.692 6	0.734 9	0.753 0	1.786 3	1.883 2	1.856 5	1.886 6	1.880 8	2
柯城区 Kecheng	0.899 0	0.986 9	0.7345	0.744 7	0.739 4	1.786 3	1.883 2	1.856 5	1.886 6	1.906 0	1
莲都区 Liandu	0.604 1	0.742 1	0.918 8	0.966 0	0.921 5	1.571 9	1.726 1	1.819 0	1.999 3	2.153 0	1
龙泉市 Longquan	0.851 8	0.884 4	0.974 8	0.9508	0.954 6	1.571 9	1.726 1	1.819 0	1.999 3	2.145 9	2
龙游县 Longyou	0.908 4	0.998 3	0.779 5	0.801 9	0.845 6	1.786 3	1.883 2	1.856 5	1.886 6	1.888 9	1
磐安县 Pan’an	0.925 2	0.962 3	0.977 5	0.952 1	0.975 4	1.995 3	1.898 3	1.616 7	1.787 3	1.969 6	2
平阳县 Pingyang	0.945 8	0.982 7	0.977 7	0.994 9	0.941 4	1.531 6	1.742 0	1.839 3	2.198 5	2.440 6	1
青田县 Qingtian	0.983 2	0.970 9	0.936 9	0.975 9	0.945 3	1.571 9	1.726 1	1.819 0	1.999 3	2.134 7	1
庆元县 Qingyuan	0.787 8	0.870 3	0.927 8	0.920 3	0.957 5	1.571 9	1.726 1	1.819 0	1.999 3	2.139 4	2
衢江区 Qujiang	0.650 0	0.961 2	0.693 4	0.739 2	0.852 7	1.786 3	1.883 2	1.856 5	1.886 6	1.888 2	1
三门县 Sanmen	0.678 4	0.995 7	0.966 9	0.965 8	0.900 6	1.983 0	1.884 7	1.796 5	1.894 3	1.846 6	1
松阳县 Songyang	0.693 7	0.897 2	0.971 9	0.988 3	0.988 8	1.571 9	1.726 1	1.819 0	1.999 3	2.150 6	1
遂昌县 Suichang	0.945 4	0.948 5	0.942 0	0.954 6	0.971 5	1.571 9	1.726 1	1.819 0	1.999 3	2.140 1	2
泰顺县 Taishun	0.930 3	0.941 3	0.986 4	0.984 2	0.957 7	1.531 6	1.742 0	1.839 3	2.198 5	2.437 9	2
天台县 Tiantai	0.600 0	0.975 3	0.900 4	0.877 5	0.776 6	1.983 0	1.884 7	1.796 5	1.894 3	1.850 6	1
文成县 Wencheng	0.920 3	0.971 4	0.983 2	0.956 2	0.849 1	1.510 0	1.634 9	1.777 9	2.287 2	2.550 0	2
武义县 Wuyi	0.940 0	0.992 1	0.938 7	0.954 1	0.959 3	1.704 1	1.910 9	1.648 7	1.822 2	2.068 4	1
仙居县 Xianju	0.779 5	0.979 8	0.945 9	0.918 2	0.856 7	1.983 0	1.884 7	1.796 5	1.894 3	1.822 6	1
永嘉县 Yongjia	1.107 9	0.921 0	0.958 3	0.988 0	0.932 1	1.531 6	1.742 0	1.839 3	2.198 5	2.440 1	1
云和县 Yunhe	0.796 2	0.906 7	0.967 9	0.981 9	0.926 5	1.571 9	1.726 1	1.819 0	1.999 3	2.150 6	2

表5

图4

表6

表7

表8

表9

表10

表11

表12

图5

表13

表14

表15

参考文献 0

	鲍丙飞, 曾子洋, 肖文海, 等. 重点生态功能区转移支付对生态产业发展的空间效应——以江西省80个县为例. 自然资源学报, 2022, 37 (10): 2720- 2735. doi: 10.31497/zrzyxb.20221017
	Bao B F, Zeng Z Y, Xiao W H, et al. The spatial effect of transfer payments for key ecological function zones on the development of ecological industry: a case study of 80 counties in Jiangxi Province. Journal of Natural Resources, 2022, 37 (10): 2720- 2735. doi: 10.31497/zrzyxb.20221017
	陈晓东, 杨晓霞. 数字经济发展对产业结构升级的影响——基于灰关联熵与耗散结构理论的研究. 改革, 2021, (3): 26- 39.
	Chen X D, Yang X X. The impact of digital economic development on the upgrading of industrial structure: based on the research of grey relational entropy and dissipative structure theory. Reform, 2021, (3): 26- 39.
	陈晓红, 李杨扬, 宋丽洁, 等. 数字经济理论体系与研究展望. 管理世界, 2022, 38 (2): 208- 224,13-16.
	Chen X H, Li Y Y, Song L J, et al. Theoretical framework and research prospect of digital economy. Management World, 2022, 38 (2): 208- 224,13-16.
	丁建军, 万　航. 中国数字乡村发展的空间特征及其农户增收效应——基于县域数字乡村指数与CHFS的实证分析. 自然资源学报, 2023, 38 (8): 2041- 2058. doi: 10.31497/zrzyxb.20230808
	Ding J J, Wan H. The spatial characteristics of digital village development and farmers’income increase effect: an empirical analysis based on digital rural county index and CHFS. Journal of Natural Resources, 2023, 38 (8): 2041- 2058. doi: 10.31497/zrzyxb.20230808
	冯　献, 李　瑾, 崔　凯. 乡村治理数字化: 现状、需求与对策研究. 电子政务, 2020, (6): 73- 85.
	Feng X, Li J, Cui K. Digitalization of rural governance: current situation, needs and countermeasures. E-Government, 2020, (6): 73- 85.
	付凌晖. 我国产业结构高级化与经济增长关系的实证研究. 统计研究, 2010, 27 (8): 79- 81.
	Fu L H. An empirical research on industry structure and economic growth. Statistical Research, 2010, 27 (8): 79- 81.
	干春晖, 郑若谷, 余典范. 中国产业结构变迁对经济增长和波动的影响. 经济研究, 2011, 46 (5): 4- 16,31.
	Gan C H, Zheng R G, Yu D F. An empirical study on the effects of industrial structure on economic growth and fluctuations in China. Economic Research Journal, 2011, 46 (5): 4- 16,31.
	龚新蜀, 李丹怡, 刘　越. 数字乡村建设影响共同富裕的实证检验. 统计与决策, 2023, 39 (15): 24- 29.
	Gong X S, Li D Y, Liu Y. Empirical test of the influence of digital rural construction on common affluence. Statistics & Decision, 2023, 39 (15): 24- 29.
	韩　健, 李江宇. 数字经济发展对产业结构升级的影响机制研究. 统计与信息论坛, 2022, 37 (7): 13- 25.
	Han J, Li J Y. Research on the influence mechanism of digital economy development on industrial structure upgrading. Journal of Statistics and Information, 2022, 37 (7): 13- 25.
	何维达, 温家隆, 张满银. 数字经济发展对中国绿色生态效率的影响研究——基于双向固定效应模型. 经济问题, 2022, (1): 1- 8,30. doi: 10.3969/j.issn.1004-972X.2022.1.jjwt202201002
	He W D, Wen J L, Zhang M Y. Research on the impact of digital economy development on China’s green ecological efficiency: based on two-way fixed effects model. On Economic Problems, 2022, (1): 1- 8,30. doi: 10.3969/j.issn.1004-972X.2022.1.jjwt202201002
	洪惠坤, 蔡智聪, 廖和平, 等. 西南丘陵山区县域乡村居业协同空间分异机制与优化对策——以重庆市37个区县为例. 自然资源学报, 2023, 38 (10): 2581- 2598. doi: 10.31497/zrzyxb.20231011
	Hong H K, Cai Z C, Liao H P, et al. Spatial variation mechanism and optimizing decision of rural housing-jobs coordination in the hilly and mountainous region of southwest China: taking 37 counties in Chongqing as the research object. Journal of Natural Resources, 2023, 38 (10): 2581- 2598. doi: 10.31497/zrzyxb.20231011
	侯方淼, 李晓怡, 肖　慧, 等. 数字经济赋能中国乡村林业发展: 理论机制、成效分析及政策启示. 世界林业研究, 2023, 36 (2): 1- 6.
	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, 2023, 36 (2): 1- 6.
	黄安胜, 郑逸芳, 王强强, 等. 生产要素、区域经济增长差异性和收敛性. 经济问题, 2014, (11): 112- 117.
	Huang A S, Zheng Y F, Wang Q Q, et al. A study on production factors, disparity and convergence of regional economic growth. On Economic Problems, 2014, (11): 112- 117.
	江　艇. 因果推断经验研究中的中介效应与调节效应. 中国工业经济, 2022, (5): 100- 120.
	Jiang T. Mediating effects and moderating effects in causal inference. China Industrial Economics, 2022, (5): 100- 120.
	焦帅涛, 孙秋碧. 我国数字经济发展对产业结构升级的影响研究. 工业技术经济, 2021, 40 (5): 146- 154.
	Jiao S T, Sun Q B. Research on the influence of digital economy development on the upgrading of industrial structure in China. Journal of Industrial Technological Economics, 2021, 40 (5): 146- 154.
	孔凡斌, 程文杰, 徐彩瑶. 数字经济发展能否提高森林生态产品价值转化效率——基于浙江省丽水市的实证分析. 中国农村经济, 2023, (5): 163- 184.
	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, 2023, (5): 163- 184.
	孔凡斌, 王　苓, 徐彩瑶, 等. 中国生态环境治理体系和治理能力现代化: 理论解析、实践评价与研究展望. 管理学刊, 2022, 35 (5): 50- 64.
	Kong F B, Wang L, Xu C Y, et al. Modernization of China’s ecological environment governance system and governance capacity: theoretical analysis, practical evaluation and research prospect, practical evaluation and research prospects. Journal of Management, 2022, 35 (5): 50- 64.
	李　波, 陈　豪. 数字乡村建设缩小收入差距的机制与实现路径. 中南民族大学学报(人文社会科学版), 2023, 43 (5): 137- 145,187.
	Li B, Chen H. The mechanism and implementation path of digital village construction to narrow the income gap. Journal of South-Central Minzu University (Humanities and Social Sciences), 2023, 43 (5): 137- 145,187.
	李　博, 秦　欢, 孙　威. 产业转型升级与绿色全要素生产率提升的互动关系——基于中国116个地级资源型城市的实证研究. 自然资源学报, 2022, 37 (1): 186- 199. doi: 10.31497/zrzyxb.20220113
	Li B, Qin H, Sun W. Interaction mechanism between industrial transformation and upgrading and green total factor productivity improvement: an empirical study based on 116 China’s prefecture-level resource-based cities. Journal of Natural Resources, 2022, 37 (1): 186- 199. doi: 10.31497/zrzyxb.20220113
	李丽莉, 曾亿武, 郭红东. 数字乡村建设: 底层逻辑、实践误区与优化路径. 中国农村经济, 2023, (1): 77- 92.
	Li L L, Zeng Y W, Guo H D. Digital countryside construction: underlying logic, practical errors and optimization path. Chinese Rural Economy, 2023, (1): 77- 92.
	李梦娜, 周云波. 数字经济发展的人力资本结构效应研究. 经济与管理研究, 2022, 43 (1): 23- 38.
	Li M N, Zhou Y B. Research on human capital structure effect of digital economy development. Research on Economics and Management, 2022, 43 (1): 23- 38.
	廖信林, 杨正源. 数字经济赋能长三角地区制造业转型升级的效应测度与实现路径. 华东经济管理, 2021, 35 (6): 22- 30.
	Liao X L, Yang Z Y. Effect measurement and realization path of transformation and upgrading of digital economy enabling manufacturing industry in the Yangtze River Delta. East China Economic Management, 2021, 35 (6): 22- 30.
	刘　洋, 陈晓东. 中国数字经济发展对产业结构升级的影响. 经济与管理研究, 2021, 42 (8): 15- 29.
	Liu Y, Chen X D. The effect of digital economy on industrial structure upgrade in China. Research on Economics and Management, 2021, 42 (8): 15- 29.
	刘在洲, 汪发元. 绿色科技创新、财政投入对产业结构升级的影响——基于长江经济带2003—2019年数据的实证分析. 科技进步与对策, 2021, 38 (4): 53- 61.
	Liu Z Z, Wang F Y. The impact of green technology innovation and financial investment on industrial structure upgrading-based on the data of spatial model in Yangtze River Economic Belt during 2003—2019. Science & Technology Progress and Policy, 2021, 38 (4): 53- 61.
	潘　丹, 罗璐薏, 余　异, 等. 森林资源培育工程对革命老区县域城乡收入差距的影响. 林业科学, 2023, 59 (1): 74- 89.
	Pan D, Luo L W, Yu Y, et al. Influence of forest resource development project on the urban-rural income gap in old revolutionary regions. Scientia Silvae Sinicae, 2023, 59 (1): 74- 89.
	任保平, 何厚聪. 数字经济赋能高质量发展: 理论逻辑、路径选择与政策取向. 财经科学, 2022, (4): 61- 75.
	Ren B P, He H C. Empowerment of digital economy to high-quality development: theoretical logic, path choices and policy orientation. finance & economics, 2022, (4): 61- 75.
	沈锦浩. 数字乡村战略的理论框架与实践误区. 图书馆, 2022, (10): 91- 97.
	Shen J H. Theoretical framework and practical misunderstanding of digital village strategy. Library, 2022, (10): 91- 97.
	史常亮, 揭昌亮, 石　峰, 等. 中国林业技术效率与全要素生产率增长分解——基于SFA-Malmquist方法的估计. 林业科学, 2017, 53 (12): 126- 135.
	Shi C L, Jie C L, Shi F, et al. Estimation of the technical efficiency and the decomposition of TFP of Chinese forestry: basing on SFA-Malmquist method. Scientia Silvae Sinicae, 2017, 53 (12): 126- 135.
	孙晓华. “配第-克拉克定理”的理论反思与实践检视——以印度产业发展和结构演化为例. 当代经济研究, 2020, (3): 47- 54.
	Sun X H. Theoretical reflection and practical review of “Petty-Clark Theorem”: a case study of industrial development and structural evolution in India. Contemporary Economic Research, 2020, (3): 47- 54.
	田　鸽, 张　勋. 数字经济、非农就业与社会分工. 管理世界, 2022, 38 (5): 72- 84.
	Tian G, Zhang X. Digital economy, non-agricultural employment, and division of labor. Journal of Management World, 2022, 38 (5): 72- 84.
	王小鲁, 樊　纲, 刘　鹏. 中国经济增长方式转换和增长可持续性. 经济研究, 2009, 44 (1): 4- 16.
	Wang X L, Fan G, Liu P. Transformation of growth pattern and growth sustainability in China. Economic Research Journal, 2009, 44 (1): 4- 16.
	武春友, 梁　潇, 房士吉. 城市化对产业结构演进的作用机理研究——基于中国省际面板数据的实证. 中国软科学, 2010, (S2): 389- 395.
	Wu C Y, Liang X, Fang S J. Research on the urbanization effecting mechanism of industrial structure evolution: based on the panel data empirical analysis. China Soft Science, 2010, (S2): 389- 395.
	吴远征, 张智光. 林业产业生态安全效率的SBM-Malmquist测度与时空特征分析. 科技管理研究, 2019, 39 (24): 259- 267.
	Wu Y Z, Zhang Z G. SBM-Malmquist measurement and spatial-temporal characteristics analysis of eco-security efficiency of forestry industry. Science and Technology Management Research, 2019, 39 (24): 259- 267.
	徐彩瑶, 王　宁, 孔凡斌, 等. 森林生态产品价值实现对县域发展差距的影响: 以浙江省山区26县为例. 林业科学, 2023, 59 (1): 12- 30.
	Xu C Y, Wang N, Kong F B, et al. Impact of value realization of forest ecological products on county level development gaps: a case study of 26 counties in mountainous regions of Zhejiang Province. Scientia Silvae Sinicae, 2023, 59 (1): 12- 30.
	许　可, 张亚峰. 2021. 绿色科技创新能带来绿水青山吗?——基于绿色专利视角的研究. 中国人口·资源与环境, 31(5): 141−151.
	Xu K, Zhang Y F. 2021. Can green technology innovation bring lucid waters and lush mountains ? A study based on the perspective of green patents. China Population, Resources and Environment, 31(5): 141−151. ［in Chinese］
	徐晓林, 周立新. 数字治理在城市政府善治中的体系构建. 管理世界, 2004, (11): 140- 141.
	Xu X L, Zhou L X. System construction of digital governance in good governance of urban government. Journal of Management World, 2004, (11): 140- 141.
	杨建芳, 龚六堂, 张庆华. 人力资本形成及其对经济增长的影响——一个包含教育和健康投入的内生增长模型及其检验. 管理世界, 2006, (5): 10- 18,34,171.
	Yang J F, Gong L T, Zhang Q H. Human capital formation land its effects on economic growth: an endogenous growth model with education and health inputs and its test. Journal of Management World, 2006, (5): 10- 18,34,171.
	殷浩栋, 霍　鹏, 汪三贵. 农业农村数字化转型: 现实表征、影响机理与推进策略. 改革, 2020, (12): 48- 56.
	Yin H D, Huo P, Wang S G. Agricultural and rural digital transformation: realistic representation, impact mechanism and promotion strategy. Reform, 2020, (12): 48- 56.
	勇　强, 李　群. 2023. 中国特色生态文明建设与林业发展报告(2022—2023). 北京: 社会科学文献出版社.
	Yong Q, Li Q. 2023. Report on the development of ecological civilization with Chinese characteristic and forestry(2022—2023). Beijing: Social Sciences Academic Press (China). ［in Chinese］
	俞伯阳, 丛　屹. 数字经济、人力资本红利与产业结构高级化. 财经理论与实践, 2021, 42 (3): 124- 131.
	Yu B Y, Cong Y. Digital economy, human capital dividend and advanced industrial structure. The Theory and Practice of Finance and Economics, 2021, 42 (3): 124- 131.
	原　嫄, 周　洁. 中国省域尺度下产业结构多维度特征及演化对碳排放的影响. 自然资源学报, 2021, 36 (12): 3186- 3202. doi: 10.31497/zrzyxb.20211213
	Yuan Y, Zhou J. Influence of multi-dimensional characteristics and evolution of industrial structure on carbon emissions at provincial scale in China. Journal of Natural Resources, 2021, 36 (12): 3186- 3202. doi: 10.31497/zrzyxb.20211213
	张　鸿, 杜凯文, 靳兵艳. 乡村振兴战略下数字乡村发展就绪度评价研究. 西安财经大学学报, 2020, 33 (1): 51- 60.
	Zhang H, Du K W, Jin B Y. Research on evaluation of digital rural development readiness under rural revitalization strategy. Journal of Xi’an University of Finance and Economics, 2020, 33 (1): 51- 60.
	张　岳, 张　博, 周应恒. 数字乡村建设对农民收入的影响——基于收入水平与收入结构的视角. 农林经济管理学报, 2023, 22 (3): 350- 358.
	Zhang Y, Zhang B, Zhou Y H. Impact of digital village construction on farmers’ income: based on the perspective of income level and income structure. Journal of Agro-Forestry Economics and Management, 2023, 22 (3): 350- 358.
	赵德起, 王世哲. 数字普惠金融对城乡收入差距的影响研究——基于中国省域空间计量模型的实证分析. 经济问题探索, 2023, (5): 13- 29.
	Zhao D Q, Wang S Z. Research on the impact of digital inclusive finance on urban-rural income gap: an empirical analysis based on China’s provincial spatial econometric model. Inquiry into Economic Issues, 2023, (5): 13- 29.
	赵　涛, 张　智, 梁上坤. 数字经济、创业活跃度与高质量发展——来自中国城市的经验证据. 管理世界, 2020, 36 (10): 65- 76.
	Zhao T, Zhang Z, Liang S K. Digital economy, entrepreneurship, and high-quality economic development: empirical evidence from urban China. Journal of Management World, 2020, 36 (10): 65- 76.
	赵　巍, 徐筱雯. 数字经济、空间效应与经济高质量发展——以长江经济带110个城市为例. 华东经济管理, 2023, 37 (8): 42- 49.
	Zhao W, Xu X W. Digital economy, spatial effect, and high-quality economic development: taking 110 cities in the Yangtze River Economic Belt as an example. East China Economic Management, 2023, 37 (8): 42- 49.
	曾亿武, 宋逸香, 林夏珍, 等. 中国数字乡村建设若干问题刍议. 中国农村经济, 2021, (4): 21- 35.
	Zeng Y W, Song Y X, Lin X Z, et al. Some humble opinions on China’s digital village construction. Chinese Rural Economy, 2021, (4): 21- 35.
	朱红根, 陈　晖. 中国数字乡村发展的水平测度、时空演变及推进路径. 农业经济问题, 2023, 44 (3): 21- 33.
	Zhu H G, Chen H. Measurement, spatial-temporal evolution and promotion path of digital village development in China. Issues in Agricultural Economy, 2023, 44 (3): 21- 33.
	Qing Y, Chen M, Sheng Y, et al. Mechanization services, farm productivity and institutional innovation in China. China Agricultural Economic Review, 2019, 11 (3): 536- 554. doi: 10.1108/CAER-12-2018-0244
	Rohlfs J. A theory of interdependent demand for a communications service. The Bell Journal of Economics and Management Science, 1974, 5 (1): 16- 37. doi: 10.2307/3003090
	Zhu X M, Zhang B, Yuan H. Digital economy, industrial structure upgrading and green total factor productivity: evidence in textile and apparel industry from China. PLoS One, 2022, 17 (11): e0277259. doi: 10.1371/journal.pone.0277259

一级指标 Primary index	二级指标 Secondary index	三级指标 Tertiary index	属性 Attribute	权重 Weight
数字乡村建设 Digital rural construction	数字乡村宏观环境 Digital rural macro environment	人均生产总值 GDP per capita	+	0.144 6
	数字乡村宏观环境 Digital rural macro environment	农村居民人均可支配收入 Rural per capita disposable income	+	0.102 1
	数字乡村基础设施 Digital rural infrastructure	农村宽带接入用户数量 Number of rural broadband access subscribers	+	0.106 2
	数字乡村基础设施 Digital rural infrastructure	农村移动电话用户数量 Number of rural mobile phone subscribers	+	0.111 2
	数字乡村信息环境 Digital rural information environment	第三产业对GDP贡献率 Contribution rate of the tertiary industry to GDP	+	0.067 1
	数字乡村信息环境 Digital rural information environment	科学研究和技术服务业人员占比 Proportion of personnel in scientific research and technical services	+	0.020 1
	数字乡村治理环境 Digital rural governance environment	地方财政科学技术支出占比 Proportion of local financial expenditure on science and technology	+	0.039 9
	数字乡村治理环境 Digital rural governance environment	地方财政交通运输支出占比 Proportion of local finance expenditure on transportation	+	0.038 9
	数字乡村社会服务 Digital rural social services	农村电信业务收入 Income from rural telecommunications services	+	0.106 3
	数字乡村社会服务 Digital rural social services	农村用电量 Rural electricity consumption	+	0.263 6

变量类型 Variables type	变量名称 Variables name	样本量 Sample size	均值 Mean	标准差 Standard deviation	最小值 Minimum value	最大值 Maximum value
被解释变量 Explained variables	林业产业发展规模 Scale of forestry industry development	546	11 248.100 0	8643.069 0	194.467 0	51 359.500 0
	林业产业发展规模（取对数） Scale of forestry industry development（logarithmic）	546	8.999 3	0.923 4	5.270 3	10.846 6
	林业产业结构合理化 Rationalization of the structure of the forestry industry	546	0.911 0	0.085 5	0.549 8	1.107 9
	林业产业结构高级化 Advanced of the structure of the forestry industry	546	1.929 8	0.190 8	1.510 0	2.590 0
核心解释变量 Key explanatory variables	数字乡村建设水平 Level of digital rural construction	546	0.160 1	0.109 8	0.020 1	0.612 1
控制变量 Controlled variables	经济发展水平 Economic development level	546	3.220 7	2.332 1	0.365 7	12.514 2
	城镇化水平 Urbanization level	546	0.223 8	0.127 4	0.040 0	0.600 0
	政府财政支出规模 Local fiscal expenditure scale	546	0.204 4	0.118 3	0.000 0	0.713 3
	基础设施 Infrastructure	546	0.756 2	0.443 3	0.045 5	6.481 1
	对外开放程度 Opening-up degree	546	0.165 3	0.141 9	0.000 1	0.911 0
机制变量 Mechanism variables	技术应用水平 Technology application level	546	11.959 1	0.692 1	10.539 3	14.004 6
	人力资本水平 Human capital level	546	1.484 6	0.607 9	0.361 7	3.007 2
	森林生态产品价值实现效率 Value realization efficiency of forest ecological products	546	0.776 6	1.192 2	0.044 0	21.138 7
	纯技术效率 Pure technical efficiency	546	1.004 3	1.605 9	0.046 5	24.292 1
	规模效率 Scale efficiency	546	0.866 7	0.173 0	0.026 3	1.000 0

山区县 Mountainous counties	2001	2005	2010	2015	2021	类型Type
苍南县Cangnan	0.128 9	0.162 0	0.305 8	0.410 2	0.472 4	1
常山县Changshan	0.029 8	0.074 3	0.103 7	0.146 0	0.214 9	2
淳安县Chun’an	0.045 4	0.057 2	0.098 3	0.158 3	0.267 2	2
江山市Jiangshan	0.045 6	0.105 4	0.157 6	0.223 6	0.343 6	1
缙云县Jinyun	0.035 7	0.056 0	0.102 4	0.178 8	0.278 1	1
景宁县Jingning	0.025 1	0.041 6	0.065 9	0.116 8	0.214 0	2
开化县Kaihua	0.032 8	0.062 3	0.085 0	0.119 8	0.197 6	2
柯城区Kecheng	0.044 9	0.089 9	0.127 3	0.187 4	0.317 9	1
莲都区Liandu	0.109 8	0.139 1	0.177 6	0.265 2	0.369 3	1
龙泉市Longquan	0.030 3	0.051 8	0.084 8	0.152 8	0.234 7	2
龙游县Longyou	0.040 2	0.094 5	0.127 3	0.173 9	0.255 0	1
磐安县Pan’an	0.045 0	0.052 6	0.060 0	0.114 3	0.208 0	2
平阳县Pingyang	0.111 2	0.137 9	0.239 0	0.354 9	0.472 2	1
青田县Qingtian	0.030 4	0.068 9	0.111 0	0.181 9	0.276 1	1
庆元县Qingyuan	0.020 1	0.035 8	0.063 7	0.116 7	0.204 5	2
衢江区Qujiang	0.033 9	0.073 6	0.101 4	0.154 3	0.249 6	1
三门县Sanmen	0.070 9	0.085 6	0.130 6	0.190 7	0.280 9	1
松阳县Songyang	0.026 8	0.042 6	0.075 7	0.135 1	0.221 4	1
遂昌县Suichang	0.024 3	0.046 4	0.075 6	0.135 1	0.228 8	2
泰顺县Taishun	0.047 7	0.048 7	0.089 4	0.153 1	0.260 1	2
天台县Tiantai	0.074 6	0.098 3	0.345 7	0.437 3	0.296 3	1
文成县Wencheng	0.046 6	0.059 7	0.087 8	0.157 0	0.252 9	2
武义县Wuyi	0.047 5	0.089 2	0.123 3	0.184 8	0.290 4	1
仙居县Xianju	0.109 8	0.087 8	0.212 4	0.315 9	0.279 9	1
永嘉县Yongjia	0.103 0	0.151 8	0.240 5	0.480 5	0.458 6	1
云和县Yunhe	0.032 3	0.048 7	0.122 1	0.190 6	0.217 8	2

变量 Variables	（1）林业产业发展规模 Scale of forestry industry development	（2）林业产业结构合理化 Rationalization of the structure of the forestry industry	（3）林业产业结构高级化 Advanced of the structure of the forestry industry
数字乡村建设水平 Level of digital rural construction	0.653 5** (0.325 5)	0.129 2** (0.065 3)	0.792 8*** (0.135 4)
城镇化水平 Urbanization level	0.169 2 (0.204 2)	0.047 4 (0.041 0)	0.463 4*** (0.084 9)
经济发展水平 Economic development level	?0.003 8 (0.002 4)	?0.000 3 (0.000 5)	0.002 7*** (0.001 0)
基础设施 Infrastructure	0.011 9 (0.033 5)	?0.000 5 (0.006 7)	?0.015 1 (0.013 9)
政府财政支出规模 Local fiscal expenditure scale	?0.336 3 (0.264 3)	0.091 2* (0.053 0)	0.491 6*** (0.109 9)
对外开放程度 Opening-up degree	?0.277 9* (0.152 6)	0.028 1 (0.030 6)	?0.240 7*** (0.063 5)
常数项Constant	8.599 9*** (0.073 1)	0.852 2*** (0.014 7)	1.535 8*** (0.030 4)
地区效应Regional effect	控制 Controlled	控制 Controlled	控制 Controlled
时间效应Time effect	控制 Controlled	控制 Controlled	控制 Controlled
观测值 Observations	546	546	546
R²	0.594 3	0.129 1	0.691 7

变量 Variables	跨越发展县Spanning development counties			生态发展县Ecological development counties
变量 Variables	FDS	FSH	FSG	FDS	FSH	FSG
数字乡村建设水平 Level of digital rural construction	0.750 3* (0.389 9)	0.103 0 (0.070 4)	0.585 9*** (0.151 0)	?5.438 0*** (1.261 6)	0.714 6** (0.306 8)	4.178 5*** (0.538 9)
城镇化水平 Urbanization level	0.113 8 (0.270 4)	?0.052 5 (0.048 9)	0.608 2*** (0.104 7)	0.410 9 (0.318 9)	0.284 0*** (0.077 6)	0.048 2 (0.136 2)
经济发展水平 Economic development level	?0.048 7** (0.021 8)	?0.003 0 (0.003 9)	?0.035 1*** (0.008 4)	?0.004 8** (0.002 4)	?0.000 5 (0.000 6)	0.004 0*** (0.001 0)
基础设施 Infrastructure	0.038 2 (0.052 1)	?0.004 2 (0.009 4)	?0.005 9 (0.020 2)	0.009 7 (0.040 6)	?0.003 8 (0.009 9)	?0.040 5** (0.017 3)
政府财政支出规模 Local fiscal expenditure scale	?0.013 4 (0.573 9)	0.167 4 (0.103 7)	?0.284 7 (0.222 3)	?1.085 9*** (0.374 7)	0.018 3 (0.091 1)	0.789 7*** (0.160 0)
对外开放程度 Opening-up degree	?0.462 1** (0.205 4)	?0.007 8 (0.037 1)	?0.180 1** (0.079 6)	0.174 0 (0.264 4)	0.204 2*** (0.064 3)	?0.390 0*** (0.112 9)
常数项Constant	8.520 1*** (0.114 8)	0.867 5*** (0.020 7)	1.636 6*** (0.044 5)	8.990 9*** (0.117 6)	0.800 8*** (0.028 6)	1.417 9*** (0.050 2)
观测值 Observations	315	315	315	231	231	231
R²	0.616 7	0.174 8	0.674 3	0.653 4	0.208 4	0.808 0