林业科学 ›› 2025, Vol. 61 ›› Issue (9): 223-235.doi: 10.11707/j.1001-7488.LYKX20250032
• 研究论文 • 上一篇
翟郡1,2(),陈燕1,曾杰杰1,2,汤灿1,孔凡斌1,2,*(
)
收稿日期:
2025-01-27
出版日期:
2025-09-25
发布日期:
2025-10-10
通讯作者:
孔凡斌
E-mail:zhaij@njfu.edu.cn;kongfanbin@aliyun.com
基金资助:
Jun Zhai1,2(),Yan Chen1,Jiejie Zeng1,2,Can Tang1,Fanbin Kong1,2,*(
)
Received:
2025-01-27
Online:
2025-09-25
Published:
2025-10-10
Contact:
Fanbin Kong
E-mail:zhaij@njfu.edu.cn;kongfanbin@aliyun.com
摘要:
目的: 检验浙江省11个地级市数字经济与林业产业融合(简称“数林融合”)发展水平对城乡收入差距的影响及其作用机制,为我国林业高质量发展和全体人民共同富裕提供科学依据。方法: 基于2015—2022年市级面板数据,采用固定效应模型和中介效应模型实证检验数林融合发展对浙江省城乡居民收入差距的影响及其作用机制。结果: 1) 基准回归结果表明,数林融合发展对城乡收入差距的影响呈先扩大后缩小的“倒U型”变化趋势,且结果稳健;2) 机制研究结果表明,数林融合通过就业和收入效应影响城乡居民收入差距;3) 异质性分析结果表明,数林融合在城乡收入差距小、数字普惠金融发展水平高和城市规模大的地区作用效果更显著。结论: 2015—2022年浙江省数林融合发展对城乡收入差距的影响呈现先扩大后减小的趋势且存在区域异质性,通过就业效应和收入效应两种路径影响城乡收入差距。因此,浙江省应持续加强政策引导和资源配置,推动数字经济与林业产业深度融合,逐步缩小城乡收入差距。
中图分类号:
翟郡,陈燕,曾杰杰,汤灿,孔凡斌. 数林融合对城乡收入差距的影响及其作用机制——基于浙江省的实证分析[J]. 林业科学, 2025, 61(9): 223-235.
Jun Zhai,Yan Chen,Jiejie Zeng,Can Tang,Fanbin Kong. Impacts of Integrated Development Level of Digital Economy and Forestry Industry on the Urban-Rural Income Gap and Its Mechanisms: Empirical Evidence from Zhejiang Province[J]. Scientia Silvae Sinicae, 2025, 61(9): 223-235.
表1
数林融合发展评价指标体系"
一级指标Primary indicator | 二级指标Secondary indicator | 三级指标Third level indicator |
数字经济发展水平 Development level of digital economy | 数字基础设施 Digital infrastructure | 农村居民每百户计算机数量 Computer number per 100 households in rural areas |
农村居民每百户移动电话数量 Mobile phone number per 100 households in rural areas | ||
数字业务规模 Digital business scale | 邮电业务总收入 Total revenue from postal and telecommunications business | |
信息传输、软件和技术服务业人员占私营和非私营单位总就业人员的比例 Proportion of personnel in the information transmission, software, and technology service industries to the total employment of private and non-private units | ||
数字技术创新 Digital technology innovation | 地方财政科学技术支出占财政预算的比例 Proportion of local fiscal science and technology expenditure to the fiscal budget | |
科学研究和技术服务业人员占私营和非私营单位总就业人员的比例 Proportion of scientific research and technology service industry personnel to the total employment of private and non-private units | ||
林业产业发展水平 The level of development of the forestry industry | 规模Scale | 林业产业总产值 Total output value of forestry industry |
第一产业固定资产总额 Total fixed assets of the primary industry | ||
结构Structure | 林业总产值占农林牧渔总产值的比例 Proportion of total forestry output value to total agricultural, forestry, animal husbandry, and fishery output value | |
第一产业占固定资产的比例 Proportion of the primary industry to fixed assets | ||
效率Efficiency | 林业总产值同比上年增长比例 Growth rate of total forestry output year-on-year | |
第一产业固定资产投资同比上年增长比例 Growth rate of fixed assets investment in the primary industry year-on-year |
表2
变量的描述性统计"
变量 Variables | 样本量 Sample size | 均值 Mean | 标准差 Standard deviation | 最小值 Minimum value | 最大值 Maximum value |
城乡收入差距 Urban-rural income gap | 88 | 0.044 6 | 0.015 6 | 0.021 0 | 0.075 2 |
数林融合发展水平 Development level of digital-forestry integration | 88 | 0.416 3 | 0.085 3 | 0.209 8 | 0.615 2 |
林业从业人员数(万人) Number of people employed in forestry(ten thousand people) | 88 | 0.004 3 | 0.006 0 | 0.000 1 | 0.028 6 |
旅游业收入水平 Level of tourism income | 88 | 0.255 1 | 0.155 8 | 0.048 6 | 0.768 9 |
工业发展水平 Industrial development level | 88 | 0.440 7 | 0.060 2 | 0.299 3 | 0.552 0 |
第三产业发展水平 Development level of tertiary industry | 88 | 0.512 0 | 0.060 9 | 0.408 7 | 0.681 9 |
乡村人口(万人) Rural population(ten thousand people) | 88 | 5.305 4 | 0.637 0 | 3.477 8 | 6.230 7 |
对外贸易 Foreign trade | 88 | 0.314 7 | 0.351 0 | 0.026 3 | 1.733 4 |
造林面积 Afforestation area/104hm2 | 88 | 7.733 0 | 1.362 2 | 3.951 2 | 10.479 9 |
政府财政支出规模 Scale of government expenditure | 88 | 0.166 8 | 0.063 5 | 0.092 5 | 0.356 6 |
产业结构 Industrial structure | 88 | 1.205 2 | 0.335 7 | 0.773 1 | 2.275 3 |
表3
基准回归结果①"
变量Variables | 模型(Ⅰ) Model (Ⅰ) | 模型(Ⅱ) Model(Ⅱ) |
数林融合发展水平 | 0.021 2** | 0.092 1** |
Development level of digital-forestry integration | (2.14) | (2.06) |
数林融合发展水平的二次项 | ?0.077 4* | |
The square term of development level of digital-forestry integration | (?1.74) | |
工业发展水平 | ?0.128 4** | ?0.085 5 |
Industrial development level | (?2.12) | (?1.31) |
第三产业发展水平 | ?0.044 6 | ?0.039 6 |
Development level of tertiary industry | (?0.66) | (?0.66) |
对外贸易 | ?0.006 9*** | ?0.007 1*** |
Foreign trade | (?5.28) | (?5.45) |
产业结构 | ?0.024 3*** | ?0.018 3** |
Industrial structure | (?3.36) | (?2.42) |
乡村人口 | 0.021 5** | 0.020 8** |
Rural population | (2.61) | (2.60) |
政府财政支出规模 | 0.001 7 | 0.003 8 |
Scale of government expenditure | (0.07) | (0.15) |
造林面积 | 0.000 0 | 0.000 0 |
Afforestation area | (0.22) | (0.17) |
常数项 | 0.032 2 | -0.008 7 |
Constant | (0.46) | (-0.13) |
城市固定效应 City fixed effects | 是 YES | 是 YES |
R2 | 0.973 4 | 0.974 9 |
表4
数林融合发展水平对城乡收入差距影响的时间趋势分析①"
变量Variables | 时间趋势系数Time trend coefficient |
Integrity*Year2015 | 0.016 3* |
(1.95) | |
Integrity*Year2016 | ?0.000 8 |
(?0.32) | |
Integrity*Year2017 | ?0.001 7 |
(?0.73) | |
Integrity*Year2018 | ?0.003 1 |
(?1.48) | |
Integrity*Year2019 | ?0.003 1 |
(?0.90) | |
Integrity*Year2020 | ?0.009 9*** |
(?3.12) | |
Integrity*Year2021 | ?0.015 6*** |
(?4.34) | |
Integrity*Year2022 | ?0.022 1*** |
(?5.69) | |
常数项 | ?0.009 1 |
Constant | (?0.19) |
城市固定效应 City fixed effects | 是 YES |
控制变量 Control variables | 是 YES |
R2 | 0.985 9 |
表5
异质性分析①"
变量Variables | 模型(Ⅰ) Model Ⅰ | 模型(Ⅱ) Model Ⅱ | 模型(Ⅲ) Model Ⅲ | 模型(Ⅳ) Model Ⅳ | 模型(Ⅴ) Model Ⅴ | 模型(Ⅵ) Model Ⅵ |
数林融合发展水平 | 0.055* | ?0.060 | 0.056* | 0.050 | 0.114*** | ?0.038 |
Development level of digital-forestry integration | (2.02) | (?0.28) | (1.74) | (1.68) | (3.14) | (?0.74) |
数林融合发展水平的二次项 | ?0.058** | 0.128 | ?0.064** | ?0.043 | ?0.108*** | 0.118 |
The square term of development level of digital-forestry integration | (?2.14) | (0.51) | (?2.28) | (?1.47) | (?3.21) | (1.61) |
常数项 | ?0.014 | ?0.082 | 0.033 | ?0.073 | ?0.190** | 0.259*** |
Constant | (?0.22) | (?0.60) | (0.12) | (?1.28) | (?.36) | (3.98) |
城市固定效应 City fixed effects | 是 YES | 是 YES | 是 YES | 是 YES | 是 YES | 是 YES |
控制变量 Control variables | 是 YES | 是 YES | 是 YES | 是 YES | 是 YES | 是 YES |
R2 | 0.921 | 0.930 | 0.978 | 0.998 | 0.979 | 0.991 |
表6
稳健性检验结果①"
变量Variables | 模型(Ⅰ) Model Ⅰ | 模型(Ⅱ) Model Ⅱ | 模型(Ⅲ) Model Ⅲ | 模型(Ⅳ) Model Ⅳ |
数林融合发展水平 | 0.937** | 0.087** | 0.092** | 0.070** |
Development level of digital-forestry integration | (2.50) | (2.52) | (2.06) | (2.19) |
数林融合发展水平的二次项 | ?0.750* | ?0.070* | ?0.077* | ?0.062* |
The square term of development level of digital-forestry integration | (?1.88) | (?1.87) | (?1.74) | (?1.88) |
城乡收入差距的滞后一期 | 1.018*** | |||
The one-period lagged of the urban-rural income gap | (19.74) | |||
常数项 | 2.077*** | ?0.071 | ?0.009 | 0.060* |
Constant | (3.23) | (?0.84) | (?0.13) | (1.70) |
城市固定效应 City fixed effects | 是 YES | 是 YES | 是 YES | 是 YES |
控制变量 Control variables | 是 YES | 是 YES | 是 YES | 是 YES |
R2 | 0.976 | 0.972 | 0.975 | |
误差扰动项一阶自相关回归 Arellano—Bond AR(1) test for the error term | 0.010 | |||
误差扰动项二阶自相关回归 Arellano—Bond AR(2) test for the error term | 0.954 |
曹玉昆, 翟相如. 国家财政支持对林业产业全要生产率影响的实证. 统计与决策, 2020, 36 (7): 118- 122. | |
Cao Y K, Zhai X R. The impact of national financial support on the total factor productivity of forestry industry:an empirical study. Statistics and Decision, 2020, 36 (7): 118- 122. | |
陈斌开, 林毅夫. 2013. 发展战略、城市化与中国城乡收入差距. 中国社会科学, (4): 81−102, 206. | |
Chen B K, Lin Y F. 2013. Development strategy, urbanization and the rural-urban income disparity in China. Social Sciences in China, (4): 81−102, 206. [in Chinese] | |
陈思晗, 张长青. 智能控制在木材加工和林业机器人中的应用研究进展. 世界林业研究, 2023, 36 (3): 45- 50. | |
Chen S H, Zhang C Q. Research progress in application of intelligent control in wood processing and forest robots. World Forestry Research, 2023, 36 (3): 45- 50. | |
陈 文, 吴 赢. 2021. 数字经济发展、数字鸿沟与城乡居民收入差距.南方经济, (11): 1−17. | |
Chen W, Wu Y. 2021. The development of digital economy, digital divide and the income gap between urban and rural residents. South China Journal of Economics, (11): 1−17. [in Chinese] | |
程名望, 张家平. 2019. 互联网普及与城乡收入差距: 理论与实证.中国农村经济, (2): 19−41. | |
Cheng M W, Zhang J P. 2019. Internet penetration and the urban-rural income gap: theory and evidence. Chinese Rural Economy, (2): 19−41. [in Chinese] | |
崔 莉, 厉新建, 程 哲. 自然资源资本化实现机制研究——以南平市“生态银行”为例. 管理世界, 2019, 35 (9): 95- 100. | |
Cui L, Li X J, Cheng Z. Research on the realization mechanism of natural resource capitalization: a case study of Nanping “Eco-Bank”. Journal of Management World, 2019, 35 (9): 95- 100. | |
郭仲伟, 吴朝阳, 汪箫悦. 基于卫星遥感数据的森林病虫害监测与评价. 地理研究, 2019, 38 (4): 831- 843.
doi: 10.11821/dlyj020180299 |
|
Guo Z W, Wu C Y, Wang X Y. Forest insect-disease monitoring and estimation based on satellite remote sensing data. Geographical Research, 2019, 38 (4): 831- 843.
doi: 10.11821/dlyj020180299 |
|
何文剑, 赵秋雅, 张红霄. 2021. 林权改革的增收效应: 机制讨论与经验证据. 中国农村经济(3): 46−67. | |
He W J, Zhao Q Y, Zhang H X. 2021. Income-increasing effect of the collective forest tenure reform: mechanism discussions and empirical evidences. Chinese Rural Economy, (3): 46−67. [in Chinese] | |
何兴元, 任春颖, 陈 琳, 等. 森林生态系统遥感监测技术研究进展. 地理科学, 2018, 38 (7): 997- 1011. | |
He X Y, Ren C Y, Chen L, et al. The progress of forest ecosystems monitoring with remote sensing techniques. Scientia Geographica Sinica, 2018, 38 (7): 997- 1011. | |
洪银兴, 杨玉珍. 现代化新征程中农业发展范式的创新——兼论中国发展经济学的创新研究. 管理世界, 2023, 39 (5): 1- 8,53,9. | |
Hong Y X, Yang Y Z. The innovation of agricultural development paradigm in the new journey of modernization: on the innovative research of China’s development economics. Journal of Management World, 2023, 39 (5): 1- 8,53,9. | |
黄庆华, 潘 婷, 时培豪. 2023. 数字经济对城乡居民收入差距的影响及其作用机制. 改革, (4): 53−69. | |
Huang Q H, Pan T, Shi P H. 2023. The impact of digital economy on the income gap between urban and rural residents and its impact mechanism. Reform, (4): 53−69. [in Chinese] | |
黄细嘉, 张 科, 王红建, 等. 乡村旅游发展能否缩小城乡收入差距?——来自“全国休闲农业与乡村旅游示范县”的经验证据. 旅游学刊, 2023, 38 (2): 16- 29. | |
Huang X J, Zhang K, Wang H J, et al. Can rural tourism development narrow the urban-rural income gap? Empirical evidence from national demonstration counties of leisure agriculture and rural tourism. Tourism Tribune, 2023, 38 (2): 16- 29. | |
冀福俊. 2023. 数字经济对城乡收入差距的影响——基于产业结构高级化的调节效应分析. 经济问题, (2): 35−41. | |
Ji F J. 2023. The impact of digital economy on urban-rural income gap: analysis of the moderating effect based on the industrial structure upgrading. On Economic Problems, (2): 35−41. [in Chinese] | |
江 艇. 2022. 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, (5): 100−120. | |
Jiang T. 2022. Mediating effects and moderating effects in causal inference. China Industrial Economy, (5): 100−120. [in Chinese] | |
江小辉, 牛嘉玮. 2024. 数字经济、农村人力资本与城乡收入差距. 中国人力资源开发, 41 (9): 80−92. | |
Jiang X H, Niu J W. 2024. Digital economy, rural human-capital and urban-rural income gap. Human Resource Development of China, 41 (9): 80−92. [in Chinese] | |
姜 钰, 程云珂. 中国省域林业“生态-经济”系统韧性水平及空间格局演变研究. 农林经济管理学报, 2024, 23 (6): 798- 807. | |
Jiang Y, Cheng Y K. Level and spatial pattern evolution of forestry “eco-economic” system resilience in Chinese provinces. Journal of Agro-Forestry Economics and Management, 2024, 23 (6): 798- 807. | |
孔凡斌, 程文杰, 徐彩瑶. 2023a. 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(5): 163−184. | |
Kong F B, Cheng W J, Xu C Y. 2023a. 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): 163−184. [in Chinese] | |
孔凡斌, 陆 雨, 徐彩瑶. 数字经济发展、森林生态产品价值实现与城乡收入差距. 林业科学, 2024a, 60 (5): 1- 21. | |
Kong F B, Lu Y, Xu C Y. Digital economy development, value realization of forest ecological products, and urban-rural income gap. Scientia Silvae Sinicae, 2024a, 60 (5): 1- 21. | |
孔凡斌, 王 宁, 徐彩瑶, 等. 浙江省山区26县森林生态产品价值实现对城乡收入差距的影响. 林业科学, 2023b, 59 (1): 44- 58. | |
Kong F B, Wang N, Xu C Y, et al. Impact of value realization of forest ecological products on urban-rural income gap in 26 mountainous counties of Zhejiang Province. Scientia Silvae Sinicae, 2023b, 59 (1): 44- 58. | |
孔凡斌, 王 宁, 徐彩瑶. 山区林业产业发展对城乡收入差距的影响机制——基于就业与收入中介效应的视角. 自然资源学报, 2024b, 39 (1): 62- 83.
doi: 10.31497/zrzyxb.20240104 |
|
Kong F B, Wang N, Xu C Y. The influence mechanism of forestry industry development in mountainous areas on urban-rural income gap: based on the perspective of the mediating effect of employment and income. Journal of Natural Resources, 2024b, 39 (1): 62- 83.
doi: 10.31497/zrzyxb.20240104 |
|
孔祥智, 谢东东. 缩小差距、城乡融合与共同富裕. 南京农业大学学报(社会科学版), 2022, 22 (1): 12- 22. | |
Kong X Z, Xie D D. On narrowing income gap, urban-rural integration and common prosperit. Journal of Nanjing Agricultural University(Social Sciences Edition), 2022, 22 (1): 12- 22. | |
李晓钟, 李俊雨. 2022. 数字经济发展对城乡收入差距的影响研究. 农业技术经济, (2): 77−93. | |
Li X Z, Li J Y. 2022. Research on the impact of digital economy development on the urban-rural income gap. Journal of Agrotechnical Economics, (2): 77−93. [in Chinese] | |
李 娅, 姜春前, 严 成, 等. 2007. 江西省集体林区林权制度改革效果及农户意愿分析——以江西省永丰村、上芫村、龙归村为例. 中国农村经济, (12): 54−61. | |
Li Y, Jiang C Q, Yan C, et al. 2007. Analysis on the effect of forest tenure reform and farmers’ willingness in Jiangxi collective forest region — Taking Yong feng Village, Shangyuan village and Longgui village in Jiangxi Province as examples. Chinese Rural Economy, (12): 54−61. [in Chinese] | |
李 怡, 高 岚. 不同类型林地流转的形成逻辑与效率差异. 软科学, 2014, 28 (2): 140- 144. | |
Li Y, Gao L. The formation logic and efficiency differences of different types of forest land transfer. Soft Science, 2014, 28 (2): 140- 144. | |
李 政, 杨思莹. 财政分权、政府创新偏好与区域创新效率. 管理世界, 2018, 34 (12): 29- 42,110,193−194. | |
Li Z, Yang S Y. Fiscal decentralization, government innovation preference and regional innovation efficiency. Journal of Management World, 2018, 34 (12): 29- 42,110,193−194. | |
刘 胜, 顾乃华. 行政垄断、生产性服务业集聚与城市工业污染——来自260个地级及以上城市的经验证据. 财经研究, 2015, 41 (11): 95- 107. | |
Liu S, Gu N H. Administrative monopoly, producer services agglomeration and urban industrial pollution: empirical evidence from 260 prefecture-level cities and above. Journal of Finance and Economics, 2015, 41 (11): 95- 107. | |
米嘉伟, 屈小娥. 2022. 数字经济发展如何影响城乡收入差距. 现代经济探讨, (6): 80−91. | |
Mi J, Qu X E. 2022. How does the development of digital economy affect the income gap between urban and rural areas. Modern Economic Research, (6): 80−91. [in Chinese] | |
欧阳日辉, 李晓壮. 金融新质生产力促进金融高质量发展: 动能—业态—生态分析框架与实现路径. 西安交通大学学报(社会科学版), 2024, 44 (5): 1- 14. | |
Ouyang R H, Li X Z. Financial new quality productive forces promote high-quality development of finance: analysis framework and implementation path of momentum, business forms, and ecology. Journal of Xi’an Jiaotong University (Social Sciences), 2024, 44 (5): 1- 14. | |
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 Y, 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. | |
宋 炜, 曹文静, 周 勇. 数据要素赋能、研发决策与创新绩效——来自中国工业的经验证据. 管理评论, 2023, 35 (7): 112- 121. | |
Song W, Cao W J, Zhou Y. Data elements empowerment, R&D decision-making, and innovation performance: empirical evidence from China’s industry. Management Review, 2023, 35 (7): 112- 121. | |
孙 聪, 夏恩君, 黄洁萍, 等. 数农融合发展对农业韧性的影响. 经济与管理研究, 2024, 45 (6): 76- 94. | |
Sun C, Xia E J, Huang J P, et al. Impact of digital economy-agriculture integration on agricultural resilience. Research on Economics and Management, 2024, 45 (6): 76- 94. | |
万广华, 江葳蕤, 赵梦雪. 2022. 城镇化的共同富裕效应. 中国农村经济, (4): 2−22. | |
Wan G H, Jiang W R, Zhao M X. 2022. The common prosperity effect of urbanization. Chinese Rural Economy, (4): 2−22. [in Chinese] | |
王定祥, 彭政钦, 李伶俐. 2023. 中国数字经济与农业融合发展水平测度与评价. 中国农村经济, (6): 48−71. | |
Wang D X, Peng Z Q, Li L L. 2023. Measuring and evaluating the integrated development level of digital economy and agriculture in China. Chinese Rural Economy, (6): 48−71. [in Chinese] | |
汪 浩. 2011. 林业产业集聚与经济增长的关系研究. 统计与决策, (3): 140−141. | |
Wang H. 2011. Study on the relationship between forestry industry agglomeration and economic growth. Statistics & Decision, (3): 140−141. [in Chinese] | |
王金伟, 王启翔, 冯 凌. 旅游业发展对共同富裕的直接影响及空间溢出效应. 地理学报, 2024, 79 (4): 1045- 1067.
doi: 10.11821/dlxb202404013 |
|
Wang J W, Wang Q X, Feng L, et al. The direct impact and spatial spillover effects of tourism development on common prosperity. Acta Geographica Sinica, 2024, 79 (4): 1045- 1067.
doi: 10.11821/dlxb202404013 |
|
王珂凡, 何文彬. 2024. 数字普惠金融赋能共同富裕的实证检验. 统计与决策, 40(14): 132−137. | |
Wang K F, He W B. 2024. An empirical test of digital inclusive finance enabling common prosperity. Statistics & Decision, 40(14): 132−137. [in Chinese] | |
王如玉, 梁 琦, 李广乾. 虚拟集聚: 新一代信息技术与实体经济深度融合的空间组织新形态. 管理世界, 2018, 34 (2): 13- 21.
doi: 10.3969/j.issn.1002-5502.2018.02.002 |
|
Wang R Y, Liang Q, Li G Q. Virtual agglomeration: a new spatial organization form of deep integration between new generation information technology and real economy. Journal of Management World, 2018, 34 (2): 13- 21.
doi: 10.3969/j.issn.1002-5502.2018.02.002 |
|
王淑佳, 孔 伟, 任 亮, 等. 国内耦合协调度模型的误区及修正. 自然资源学报, 2021, 36 (3): 793- 810.
doi: 10.31497/zrzyxb.20210319 |
|
Wang S J, Kong W, Ren L. Research on misuses and modification of coupling coordination degree model in China. Journal of Natural Resources, 2021, 36 (3): 793- 810.
doi: 10.31497/zrzyxb.20210319 |
|
王跃生, 吴国锋. 2019. 贸易自由化与中国的城乡收入差距——基于地级城市面板数据的实证研究. 国际贸易问题, (4): 64−75. | |
Wang Y S, Wu G F. 2019. Trade liberalization and China’s urban-rural income gap———an empirical research based on China’s prefecture-level panel data. Journal of International Trade, (4): 64−75. [in Chinese] | |
温 涛, 陈一明. 2020. 数字经济与农业农村经济融合发展: 实践模式、现实障碍与突破路径. 农业经济问题, (7): 118−129. | |
Wen T, Chen Y M. 2020. Research on the digital economy and agriculture and rural economy integration: practice pattern, realistic obstacles and breakthrough paths. Issues in Agricultural Economy, (7): 118−129. [in Chinese] | |
殷浩栋, 霍 鹏, 汪三贵. 2020. 农业农村数字化转型: 现实表征、影响机理与推进策略. 改革(12): 48−56. | |
Yin H D, Huo P, Wang S G. 2020. Digital transformation of agriculture and rural areas: realistic characteristics, impact mechanisms and promotion strategies. Reform, (12): 48−56. [in Chinese] | |
翟 郡, 杨红强, 徐彩瑶, 等. 浙江省数字经济与林业产业融合发展水平测度及影响因素. 林业科学, 2024, 60 (5): 22- 34.
doi: 10.11707/j.1001-7488.LYKX20230477 |
|
Zhai J, Yang H Q, Xu C Y, et al. Measurement and influencing factors of the level of integrated development of digital economy and forestry industry in Zhejiang Province. Scientia Silvae Sinicae, 2024, 60 (5): 22- 34.
doi: 10.11707/j.1001-7488.LYKX20230477 |
|
詹琉璐, 杨建州. 2024. 我国森林生态产品价值实现效率研究——基于投入产出分析框架. 经济问题, (8): 34−42. | |
Zhan L L, Yang J Z. 2024. The research on the efficiency of realizing the value of forest ecological products in China — based on the input-output analysis framework. On Economic Problems, (8): 34−42. [in Chinese] | |
张 旺, 白永秀. 2022. 数字经济与乡村振兴耦合的理论构建、实证分析及优化路径. 中国软科学, (1): 132−146. | |
Zhang W, Bai Y X. 2022. Theoretical construction, empirical analysis and optimization path of the coupling of digital economy and rural revitalization. China Soft Science, (1): 132−146. [in Chinese] | |
周宏浩, 陈晓红. 中国资源型城市精明发展与环境质量的耦合关系及响应机制. 自然资源学报, 2019, 34 (8): 1620- 1632.
doi: 10.31497/zrzyxb.20190805 |
|
Zhou H H, Chen X H. Coupling relationship and its response mechanism between smart development and environmental quality in Chinese resource-based cities. Journal of Natural Resources, 2019, 34 (8): 1620- 1632.
doi: 10.31497/zrzyxb.20190805 |
|
周 密, 郭佳宏, 朱俊丰. 2021. 脱实向虚、企业家劳动异质与供给侧结构性改革. 改革, (1): 92−108. | |
Zhou M, Guo J H, Zhu J F. 2021. Disengagement from the real economy, heterogeneity of entrepreneurial labor and supply-side structural reform. Reform, (1): 92−108. [in Chinese] | |
周绍杰, 王洪川, 苏 杨. 2015. 中国人如何能有更高水平的幸福感——基于中国民生指数调查. 管理世界, (6): 8−21. | |
Zhou S J, Wang H C, Su Y. 2015. How can Chinese people have a higher level of happiness? — Based on the survey of China’s livelihood index. Journal of Management World, (6): 8−21. [in Chinese] | |
朱教君, 王高峰, 张怀清, 等. 关于“气候智慧林业”研究的思考. 林业科学, 2024, 60 (7): 1- 7.
doi: 10.11707/j.1001-7488.LYKX20240433 |
|
Zhu J J, Wang G F, Zhang H Q. On the research of climate-smart forestry. Scientia Silvae Sinicae, 2024, 60 (7): 1- 7.
doi: 10.11707/j.1001-7488.LYKX20240433 |
|
祝志勇, 刘畅畅. 数字基础设施对城乡收入差距的影响及其门槛效应. 华南农业大学学报(社会科学版), 2022, 21 (5): 126- 140. | |
Zhu Z Y, Liu C C. The impact of digital infrastructure on urban-rural income gap and its threshold effect. Journal of South China Agricultural University (Social Science Edition), 2022, 21 (5): 126- 140. | |
邹德玲, 丛海彬. 中国产城融合时空格局及其影响因素. 经济地理, 2019, 39 (6): 66- 74. | |
Zou D L, Cong H B. Spatio-temporal diversity pattern of city-industry integration and its influencing factors in China. Economic Geography, 2019, 39 (6): 66- 74. | |
Almeida B, David J, Campos F S, et al. Satellite-based machine learning modelling of ecosystem services indicators: a review and meta-analysis. Applied Geography, 2024, 165, 103249.
doi: 10.1016/j.apgeog.2024.103249 |
|
Andrew M, Erik B. 2014. The second machine age: work, progress, and prosperity in a time of brilliant technologies. Business Horizons, 57(5): 685−688. | |
Bukht R, Heeks R. Defining, conceptualising and measuring the digital economy. International Organisations Research Journal, 2018, 13 (2): 143- 172.
doi: 10.17323/1996-7845-2018-02-07 |
|
Cong L W, Xie D, Zhang L. Knowledge accumulation, privacy, and growth in a data economy. Management Science, 2021, 67 (10): 6480- 6492.
doi: 10.1287/mnsc.2021.3986 |
|
Ke S, Qiao D, Zhang X, et al. Changes of China’s forestry and forest products industry over the past 40 years and challenges lying ahead. Forest Policy and Economics, 2019, 106, 101949.
doi: 10.1016/j.forpol.2019.101949 |
|
Li L, Fan Z, Feng W, et al. Coupling coordination degree spatial analysis and driving factor between socio-economic and eco-environment in northern China. Ecological Indicators, 2022, 135, 108555.
doi: 10.1016/j.ecolind.2022.108555 |
|
Liu M, Li Q, Bai Y, et al. A novel framework to evaluate urban-rural coordinated development: a case study in Shanxi Province, China. Habitat International, 2024, 144, 103013.
doi: 10.1016/j.habitatint.2024.103013 |
|
Ma Q, Shi F. New urbanization and high-quality urban and rural development: Based on the interactive coupling analysis of industrial green transformation. Ecological Indicators, 2023, 156, 111044.
doi: 10.1016/j.ecolind.2023.111044 |
|
Yang Y, Wang L, Yang F, et al. Evaluation of the coordination between eco-environment and socioeconomy under the “Ecological County Strategy” in western China: A case study of Meixian. Ecological Indicators, 2021, 125, 107585.
doi: 10.1016/j.ecolind.2021.107585 |
|
Zhan L, Wang S, Xie S, et al. Spatial path to achieve urban-rural integration development − analytical framework for coupling the linkage and coordination of urban-rural system functions. Habitat International, 2023, 142, 102953.
doi: 10.1016/j.habitatint.2023.102953 |
|
Zhang K, Jin Y, Li D, et al. Spatiotemporal variation and evolutionary analysis of the coupling coordination between urban social-economic development and ecological environments in the Yangtze River Delta cities. Sustainable Cities and Society, 2024, 111, 105561.
doi: 10.1016/j.scs.2024.105561 |
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