Scientia Silvae Sinicae ›› 2024, Vol. 60 ›› Issue (5): 177-190.doi: 10.11707/j.1001-7488.LYKX20220205
• Research papers • Previous Articles Next Articles
Yunhao Sun,Nanyang Cheng,Wenxing Shen*
Received:2022-04-01
Online:2024-05-25
Published:2024-06-14
Contact:
Wenxing Shen
CLC Number:
Yunhao Sun,Nanyang Cheng,Wenxing Shen. Analysis of Spatial Correlation and Influencing Factors of Urban Forest Construction in the Yangtze River Delta Region[J]. Scientia Silvae Sinicae, 2024, 60(5): 177-190.
Table 1
Evaluation index system of urban forest construction level in Yangtze River Delta"
| 目标层Target layer | 一级指标 Primary index | 二级指标Secondary index | 权重Weight |
| 城市森林建设水平评价指标体系 Evaluation index system of urban forest construction level | 森林状态 State of the forest | 建成区人均绿化覆盖面积 Greening coverage area per capita in built-up areas | 0.100 6 |
| 建成区人均园林绿地面积Green space per capita in built-up areas | 0.106 6 | ||
| 人均公园绿地面积Green space per capita | 0.109 3 | ||
| 绿化覆盖率Greenery coverage | 0.008 2 | ||
| 森林发展 Forest development | 园林绿化投资Landscaping investment | 0.010 3 | |
| 人工更新造林面积Artificial reforestation area | 0.015 0 | ||
| 环境友好程度Environmentally friendly level | 0.014 3 | ||
| 城市森林认可度Urban forest recognition | 0.013 7 | ||
| 森林效益 Forest benefits | 林业总产值Total forestry output | 0.005 6 | |
| 城市植被固碳量Carbon sequestration by urban vegetation | 0.338 5 | ||
| 每万人享有公园个数Number of parks per 10 000 people | 0.277 6 |
Table 2
Evaluation index of forest construction level in major cities from 2011 to 2019"
| 城市City | 城市森林建设水平指数Urban forest construction level index | ||||||||
| 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | |
| 安庆Anqing | 0.172 | 0.168 | 0.191 | 0.200 | 0.201 | 0.202 | 0.204 | 0.208 | 0.250 |
| 滁州Chuzhou | 0.257 | 0.278 | 0.302 | 0.303 | 0.311 | 0.308 | 0.315 | 0.325 | 0.367 |
| 淮南Huainan | 0.098 | 0.093 | 0.097 | 0.092 | 0.088 | 0.088 | 0.093 | 0.091 | 0.090 |
| 黄山Huangshan | 0.318 | 0.328 | 0.361 | 0.359 | 0.353 | 0.338 | 0.337 | 0.333 | 0.347 |
| 宣城Xuancheng | 0.083 | 0.084 | 0.096 | 0.136 | 0.134 | 0.119 | 0.119 | 0.121 | 0.122 |
| 常州Changzhou | 0.200 | 0.197 | 0.212 | 0.213 | 0.211 | 0.211 | 0.213 | 0.215 | 0.238 |
| 淮安Huai’an | 0.123 | 0.123 | 0.133 | 0.133 | 0.135 | 0.134 | 0.137 | 0.140 | 0.166 |
| 南京Nanjing | 0.339 | 0.331 | 0.351 | 0.352 | 0.358 | 0.356 | 0.357 | 0.363 | 0.360 |
| 苏州Suzhou | 0.641 | 0.597 | 0.649 | 0.638 | 0.650 | 0.634 | 0.636 | 0.642 | 0.696 |
| 扬州Yangzhou | 0.174 | 0.168 | 0.180 | 0.177 | 0.181 | 0.269 | 0.312 | 0.301 | 0.329 |
| 镇江Zhenjiang | 0.243 | 0.248 | 0.275 | 0.278 | 0.278 | 0.270 | 0.270 | 0.281 | 0.282 |
| 杭州Hangzhou | 0.380 | 0.378 | 0.395 | 0.355 | 0.375 | 0.370 | 0.362 | 0.365 | 0.361 |
| 嘉兴Jiaxing | 0.390 | 0.383 | 0.420 | 0.424 | 0.427 | 0.421 | 0.421 | 0.398 | 0.438 |
| 宁波Ningbo | 0.414 | 0.419 | 0.435 | 0.427 | 0.437 | 0.470 | 0.432 | 0.439 | 0.447 |
| 绍兴Shaoxing | 0.414 | 0.415 | 0.262 | 0.262 | 0.260 | 0.251 | 0.261 | 0.282 | 0.313 |
| 温州Wenzhou | 0.198 | 0.294 | 0.309 | 0.308 | 0.332 | 0.317 | 0.320 | 0.353 | 0.364 |
| 芜湖Wuhu | 0.197 | 0.197 | 0.203 | 0.184 | 0.183 | 0.183 | 0.189 | 0.188 | 0.198 |
| 合肥Hefei | 0.303 | 0.297 | 0.310 | 0.327 | 0.326 | 0.325 | 0.324 | 0.320 | 0.331 |
| 上海Shanghai | 0.693 | 0.687 | 0.668 | 0.659 | 0.653 | 0.664 | 0.668 | 0.696 | 0.679 |
Table 3
Structural matching, effective correlation test of spatial matrix"
| 矩阵 Matrix | 均值匹配检验 Means matching test | 方差匹配检验 Variance matching test | 有效相关检验 Valid correlation test | |||||
| 列数 Columns | 行数 Rows | 列数 Columns | 行数 Rows | 相关系数 Correlation coefficient | T统计量 T-statistic | |||
| STW1 | 574 | 574 | 574 | 574 | 0.295 41 | 177.49*** | ||
| STW2 | 574 | 574 | 574 | 574 | 0.515 59 | 345.4*** | ||
| STW3 | 574 | 574 | 574 | 574 | 0.303 44 | 182.79*** | ||
Table 4
Model setting test"
| 检验方法 Test method | W1 | W2 | W3 | |||||
| 统计量Statistics | 概率Prob. | 统计量Statistics | 概率Prob. | 统计量Statistics | 概率Prob. | |||
| LM(lag) | 164.67 | 0.000 | 221.74 | 0.000 | 166.16 | 0.000 | ||
| R-LM(lag) | 33.86 | 0.000 | 44.23 | 0.000 | 31.91 | 0.000 | ||
| LM(error) | 148.70 | 0.000 | 254.82 | 0.000 | 154.22 | 0.000 | ||
| R-LM(error) | 17.88 | 0.000 | 77.319 | 0.000 | 19.97 | 0.000 | ||
| Wald-lag | 18.56 | 0.005 | 17.41 | 0.007 | 12.89 | 0.045 | ||
| Wald-er | 17.76 | 0.006 | 11.61 | 0.071 | 11.32 | 0.079 | ||
| LR-d | 272.18 | 0.000 | 271.78 | 0.000 | 257.77 | 0.000 | ||
| Hausman | 60.93 | 0.000 | 41.28 | 0.000 | 65.31 | 0.000 | ||
Table 5
Results of dynamic spatial panel model with three weight matrices"
| 解释变量 Explanatory variable | 被解释变量 Dependent variable | ||
| W1 | W2 | W3 | |
| F(-1) | 1.215 0*** (0.017 6) | 1.167 0*** (0.015 6) | 1.167 0*** (0.016 7) |
| W×F | 0.254 0*** (0.021 8) | 0.172 0*** (0.047 0) | 0.081 2*** (0.020 2) |
| ln pgdp | ?0.016 8*** (0.002 6) | ?0.014 0*** (0.002 5) | ?0.014 3*** (0.002 4) |
| ln pop | ?0.004 5* (0.002 3) | ?0.001 6 (0.002 1) | 0.000 7 (0.001 6) |
| ln umt | ?0.018 4*** (0.001 7) | ?0.017 3*** (0.001 6) | ?0.015 7*** (0.001 9) |
| ln road | 0.019 3*** (0.002 2) | 0.015 3*** (0.001 9) | 0.013 1*** (0.002 0) |
| industy | ?0.000 528*** (0.000 16) | 0.000 192 (0.000 16) | 0.000 108 (0.000 15) |
| fcity | 0.007 1*** (0.002 5) | 0.007 7*** (0.002 2) | 0.007 8*** (0.002 3) |
| W×解释变量Explanatory variable | 控制Control | 控制Control | 控制Control |
| Sigma2 | 0.000 42*** (0.000 1) | 0.000 42*** (0.000 1) | 0.000 42*** (0.000 1) |
| N | 533 | 533 | 533 |
| R2 | 0.878 | 0.945 | 0.961 |
Table 6
Short-term direct and indirect effect estimates"
| 矩阵Matrix | 效应Effects | ln pgdp | ln pop | ln umt | ln road | industy | fcity |
| W1 | 直接Direct | ?0.017 6*** (0.002 4) | ?0.006 5*** (0.002 4) | ?0.020 5*** (0.001 6) | 0.021 2*** (0.002 2) | ?0.000 6*** (0.000 2) | 0.008 5*** (0.002 5) |
| 间接Indirect | ?0.013 5** (0.006 3) | ?0.048 7*** (0.008 2) | ?0.044 2*** (0.005 9) | 0.039 7*** (0.005 9) | ?0.002 3*** (0.000 4) | 0.033 6*** (0.003 5) | |
| 总效应Total | ?0.031 1*** (0.005 0) | ?0.055 2*** (0.009 5) | ?0.064 6*** (0.005 4) | 0.060 9*** (0.006 8) | ?0.002 9*** (0.000 4) | 0.042 2*** (0.003 8) | |
| W2 | 直接Direct | ?0.014 2*** (0.002 5) | ?0.001 8 (0.002 1) | ?0.017 6*** (0.001 6) | 0.016 0*** (0.002 0) | 0.000 2* (0.000 2) | 0.007 7*** (0.002 3) |
| 间接Indirect | ?0.000 2 (0.009 0) | ?0.026 6*** (0.009 6) | ?0.018 3** (0.008 5) | 0.052 4*** (0.014 2) | ?0.002 1*** (0.000 6) | 0.002 5 (0.007 3) | |
| 总效应Total | ?0.014 4* (0.007 6) | ?0.028 4*** (0.010 5) | ?0.035 9*** (0.008 5) | 0.068 4*** (0.015 2) | ?0.002 0*** (0.000 6) | 0.010 2* (0.007 2) |
Table 7
Long-term direct and indirect effect estimates"
| 矩阵Matrix | 效应Effects | ln pgdp | ln pop | ln umt | ln road | industy | fcity |
| W1 | 直接Direct | 0.095 5*** (0.019 1) | ?0.021 5* (0.013 8) | 0.074 5*** (0.012 1) | ?0.085 5*** (0.015 0) | 0.001 0 (0.001 1) | ?0.011 8 (0.017 7) |
| 间接Indirect | ?0.045 6** (0.022 7) | 0.110 0*** (0.021 5) | 0.029 3** (0.013 9) | ?0.012 2 (0.018 4) | 0.003 7*** (0.001 2) | ?0.056 0** (0.018 9) | |
| 总效应Total | 0.049 8*** (0.007 1) | 0.088 6*** (0.015 2) | 0.104 0*** (0.008 7) | ?0.097 7*** (0.011 0) | 0.004 7*** (0.000 6) | ?0.067 8** (0.006 9) | |
| W2 | 直接Direct | 0.091 4*** (0.016 9) | 0.000 2 (0.012 7) | 0.106 0*** (0.010 8) | ?0.081 3*** (0.012 5) | ?0.002 0** (0.001 0) | ?0.049 3** (0.016 3) |
| 间接Indirect | ?0.056 6** (0.026 4) | 0.070 5*** (0.026 6) | ?0.017 0 (0.018 6) | ?0.088 8*** (0.030 5) | 0.006 9*** (0.001 6) | 0.023 6 (0.026 2) | |
| 总效应Total | 0.034 7** (0.016 5) | 0.070 7*** (0.024 9) | 0.089 3*** (0.016 5) | ?0.170 0*** (0.028 5) | 0.004 8*** (0.001 3) | ?0.025 8* (0.018 7) |
| 樊智丰, 李乾阳, 马长乐, 等. 基于熵权-云模型的云南省森林城市建设潜力评价. 西部林业科学, 2021, 50 (6): 132- 139. | |
| Fan Z F, Li Q Y, Ma C L, et al. Evaluation of forest city construction potential in Yunnan Province based on entropy weight cloud model. Journal of West China Forestry Science, 2021, 50 (6): 132- 139. | |
| 范 巧, 石敏俊. 基于结构匹配性和有效相关性的内生时空权重矩阵遴选方法. 数量经济研究, 2018, 9 (2): 114- 135. | |
| Fan Q, Shi M J. Selection of endogenous spatial temporal weight matrices based on structure matching and effective correlation. The Journal of Quantitative Economics, 2018, 9 (2): 114- 135. | |
| 冯兴华, 钟业喜, 李峥荣, 等. 长江经济带城市体系空间格局演变. 长江流域资源与环境, 2017, 26 (11): 1721- 1733. | |
| Feng X H, Zhong Y X, Li Z R, et al. Evolvement of spatial pattern of urban system in the economic belt of Yangtze River. Resources and Environment in the Yangtze Basin, 2017, 26 (11): 1721- 1733. | |
| 付喜娥. 绿色基础设施规划及对我国的启示. 城市发展研究, 2015, 22 (4): 52- 58. | |
| Fu X E. Green infrastructure planning and the enlightenment to our country. Urban Development Studies, 2015, 22 (4): 52- 58. | |
| 韩 轶. 2005. 城市森林建设理论及城市森林综合评价的研究——以包头市为例. 北京: 北京林业大学, 197. | |
| Han Y. 2005. Study on the construction theory and comprehensive assessment of urban forests: an example of Baotou City. Beijing: Beijing Forestry University, 197. [in Chinese] | |
| 胡 彪, 苑 凯. 京津冀地区城市生态文明建设效率测评及影响因素分析. 科技管理研究, 2019, 39 (17): 267- 274. | |
| Hu B, Yuan K. Efficiency evaluation and influencing factors analysis of urban ecological civilization construction in Beijing-Tianjin-Hebei region. Science and Technology Management Research, 2019, 39 (17): 267- 274. | |
| 李 宁, 李增元. 从碎片化到一体化: 跨区域生态治理转型研究. 湖湘论坛, 2022, 35 (3): 96- 106. | |
| Li N, Li Z Y. From fragmentation to integration: researches on the transformation of trans-regional ecological governance. Huxiang Forum, 2022, 35 (3): 96- 106. | |
| 聂法良. 基于生态文明的城市森林多主体协同运营体系构建. 中国海洋大学学报(社会科学版), 2014, (6): 75- 81. | |
| Nie F L. On the construction of a system of multi-agent synergistic operation of urban forestry based on ecological civilization. Journal of Ocean University of China (Social Sciences), 2014, (6): 75- 81. | |
| 庞 娟, 段艳平. 我国城市社会空间结构的演变与治理. 城市问题, 2014, (11): 79- 85. | |
| Pang J, Duan Y P. Evolution of China’s social spatial structure and its governance. Urban Problems, 2014, (11): 79- 85. | |
|
茹少峰, 马茹慧. 黄河流域生态环境脆弱性评价、空间分析及预测. 自然资源学报, 2022, 37 (7): 1722- 1734.
doi: 10.31497/zrzyxb.20220705 |
|
|
Ru S F, Ma R H. Evaluation, spatial analysis and prediction of ecological environment vulnerability of Yellow River Basin. Journal of Natural Resources, 2022, 37 (7): 1722- 1734.
doi: 10.31497/zrzyxb.20220705 |
|
| 谭 婧, 查力萌. 长三角都市圈空间职能的经验研究. 城市问题, 2021, (6): 15- 24, 42. | |
| Tan J, Zha L M. An empirical study on the spatial function of the Yangtze River Delta metropolitan area. Urban Problems, 2021, (6): 15- 24, 42. | |
| 王 鹏, 樊宝敏, 何友均, 等. 作为绿色基础设施的城市森林概念与问题分析. 世界林业研究, 2018a, 31 (2): 88- 92. | |
| Wang P, Fan B M, He Y J, et al. Definition and problems of urban forest as green infrastructure. World Forestry Research, 2018a, 31 (2): 88- 92. | |
| 王 鹏, 何友均, 李智勇. 居民对城市森林生态文化的认知与需求研究——以上海市为例. 林业经济, 2018b, 40 (11): 20- 25. | |
| Wang P, He Y J, Li Z Y. Study on the residents’cognition and demand for urban forest ecological culture. Forestry Economics, 2018b, 40 (11): 20- 25. | |
| 王 云, 陈美玲, 陈志端. 低碳生态城市控制性详细规划的指标体系构建与分析. 城市发展研究, 2014, 21 (1): 46- 53. | |
| Wang Y, Chen M L, Chen Z D. The analysis and construction on index system for regulatory detailed planning of low-carbon eco-city. Urban Development Studies, 2014, 21 (1): 46- 53. | |
| 肖建武, 姜明军, 陈丽佳, 等. 城市化进程与城市森林建设耦合关系研究——以长沙市为实证. 生态经济, 2013, (11): 189- 193. | |
| Xiao J W, Jiang M J, Chen L J, et al. Study on the coupling relationship between urbanization and construction of urban forest: an empirical analysis of Changsha city. Ecological Economy, 2013, (11): 189- 193. | |
| 肖严华, 侯伶俐, 毛源远. 经济增长、城镇化与空气污染——基于长三角城市群的实证研究. 上海经济研究, 2021, (9): 57- 69. | |
| Xiao Y H, Hou L L, Mao Y Y. Economic growth, urbanization and air pollution: an empirical study based on the Yangtze River Delta urban agglomeration. Shanghai Journal of Economics, 2021, (9): 57- 69. | |
| 许乙青, 成雨萍. 中国城市绿地建设的空间溢出效应研究: 基于286个地级及以上城市的数据. 生态经济, 2018, 34 (6): 163- 167,193. | |
| Xu Y Q, Cheng Y P. Research on spatial spillover effect of urban green space construction in China: based on the date of 286 cities at prefecture level or above. Ecological Economy, 2018, 34 (6): 163- 167,193. | |
| 尹 恒, 徐琰超. 地市级地区间基本建设公共支出的相互影响. 经济研究, 2011, 46 (7): 55- 64. | |
| Yin H, Xu Y C. On the interactions of local public infrastructure expenditure in China. Economic Research Journal, 2011, 46 (7): 55- 64. | |
| 张 方, 陈 凯. 中国地方政府城市绿地供给的标尺竞争——以长三角地区为例. 技术经济, 2015, 34 (10): 68- 74,83. | |
| Zhang F, Chen K. Yardstick competition on urban green space provision among local governments in China: empirical study on Yangtze River Delta region. Technology Economics, 2015, 34 (10): 68- 74,83. | |
| 张媛飞. 2020. 国家森林城市建设对大气污染的影响. 上海: 上海财经大学, 87. | |
| Zhang Y F. 2020. The impact of national forest city construction on air pollution. Shanghai University of Finance and Economics, 87. [in Chinese] | |
| 赵 正, 韩 锋, 侯一蕾. 基于Meta回归方法的中国城市森林生态系统服务功能价值再评估. 长江流域资源与环境, 2021, 30 (1): 64- 75. | |
| Zhao Z, Han F, Hou Y L. Revaluation of urban forest ecosystem services function in China: based on meta-regression analysis. Resources and Environment in the Yangtze Basin, 2021, 30 (1): 64- 75. | |
| 赵 正, 雷 硕, 温亚利. 北京市民的城市森林感知及利用研究——基于三种典型城市森林类型的分析. 农林经济管理学报, 2017, 16 (3): 301- 309. | |
| Zhao Z, Lei S, Wen Y L. Residents’ perception and utilization of urban forests in Beijing: based on three typical urban forest types. Journal of Agro-Forestry Economics and Management, 2017, 16 (3): 301- 309. | |
| 周 岩. 新时代我国森林城市群建设现状与展望. 世界林业研究, 2020, 33 (4): 82- 87. | |
| Zhou Y. Present state and prospect of China’s forest city cluster development in the new era. World Forestry Research, 2020, 33 (4): 82- 87. | |
| 庄乾达, 郑国全. 浙江省森林城市建设综合评价研究——以杭州市为例. 林业资源管理, 2016, (3): 122- 127. | |
| Zhuang Q D, Zheng G Q. Research on comprehensive evaluation of forest city construction in Zhejiang Province: a case study of Hangzhou City. Forest Resources Management, 2016, (3): 122- 127. | |
|
Chen J D, Gao M, Cheng S L, et al. County-level CO2 emissions and sequestration in China during 1997—2017. Scientific Data, 2020, 7 (1): 391.
doi: 10.1038/s41597-020-00736-3 |
|
| Chen W Y, Wang D T. 2013. Urban forest development in China: natural endowment or socioeconomic product? Cities, 35: 62-68. | |
|
Elhorst J P. Dynamic spatial panels: models, methods, and inferences. Journal of Geographical Systems, 2012, 14 (1): 5- 28.
doi: 10.1007/s10109-011-0158-4 |
|
| Elhorst J P. 2014. Spatial panel data models//SpringerBriefs in Regional Science. Berlin, Heidelberg: Springer Berlin Heidelberg, 37-93. | |
|
Lee L F, Yu J H. A spatial dynamic panel data model with both time and individual fixed effects. Econometric Theory, 2010, 26 (2): 564- 597.
doi: 10.1017/S0266466609100099 |
|
| Messner S F, Anselin L. 2004. Spatial analyses of homicide with areal data//Goodchild M F, Janelle D G. Spatially integrated social science, New York, NY: Oxford University Press, 127-144. | |
| Nowak D J, Crane D E, Stevens J C. Air pollution removal by urban trees and shrubs in the United States. Urban Forestry & Urban Greening, 2006, 4 (3/4): 115- 123. | |
|
Ren Z, Zheng H, He X, et al. Changes in spatio-temporal patterns of urban forest and its above-ground carbon storage: implication for urban CO2 emissions mitigation under China’s rapid urban expansion and greening. Environment International, 2019, 129, 438- 450.
doi: 10.1016/j.envint.2019.05.010 |
|
|
Teo H C, Zeng Y W, Sarira T V, et al. Global urban reforestation can be an important natural climate solution. Environmental Research Letters, 2021, 16 (3): 034059.
doi: 10.1088/1748-9326/abe783 |
|
| Tobler W R. A computer movie simulating urban growth in the Detroit region. Economic Geography, 1970, 46 (sup1): 234- 240. | |
| Yao N, Konijnendijk van den Bosch C C, Yang J, et al. Beijing’s 50 million new urban trees: strategic governance for large-scale urban afforestation. Urban Forestry & Urban Greening, 2019, 44, 126392. | |
|
Zheng S Q, Fu Y M, Liu H Y. Demand for urban quality of living in China: evolution in compensating land-rent and wage-rate differentials. The Journal of Real Estate Finance and Economics, 2009, 38 (3): 194- 213.
doi: 10.1007/s11146-008-9152-0 |
|
| Zhu P, Zhang Y. Demand for urban forests in United States Cities. Landscape and Urban Planning, 2008, 84 (3/4): 293- 300. |
| Viewed | ||||||
|
Full text |
|
|||||
|
Abstract |
|
|||||