资源科学 ›› 2021, Vol. 43 ›› Issue (10): 1933-1946.doi: 10.18402/resci.2021.10.01
• 资源经济 • 下一篇
收稿日期:
2021-01-06
修回日期:
2021-04-14
出版日期:
2021-10-25
发布日期:
2021-12-25
通讯作者:
韩增林,男,山东商河人,教授,研究方向为经济地理。E-mail: hzl@lnnu.edu.cn作者简介:
赵林,男,山东东平人,副教授,研究方向为经济地理与区域可持续发展。E-mail: zhaolin19880112@126.com
基金资助:
ZHAO Lin1,2,3(), CAO Naigang1, HAN Zenglin3(
), GAO Xiaotong1
Received:
2021-01-06
Revised:
2021-04-14
Online:
2021-10-25
Published:
2021-12-25
摘要:
厘清绿色经济效率空间关联网络结构的演变特征及驱动因素,可为推进区域协同绿色发展提供参考依据。本文通过构建绿色经济效率评价体系,采用考虑非期望产出的Super-EBM模型对2000—2018年中国省域绿色经济效率进行了测度,运用修正的引力模型和社会网络分析方法分析了绿色经济效率的空间关联网络结构演变特征与关联网络效应,借助二次指派程序方法识别了其影响因素。研究表明:①2000—2018年中国绿色经济效率呈先下降后上升的“S”型变化趋势,空间上呈现东部>西部>中部的地区间不均衡特征。②中国绿色经济效率逐渐呈现出以京津、长三角为极核的复杂网络结构形态,省际间空间关联性日益提升,网络结构的稳定性逐渐增强,但整体网络仍存在较为森严的等级结构,网络结构尚待进一步优化。③京津、长三角和珠三角位于关联网络的中心位置,并兼具“中介”和“桥梁”功能;西北和东北地区处在关联网络的边缘位置;江西、重庆、甘肃和贵州在关联网络中具有“承东启西、贯南通北”的纽带功能。④绿色经济效率空间关联网络受到多种因素的综合作用,地理空间邻近和经济发展水平差异对空间关联强度具有正向效应,科技创新差异对空间关联网络具有抑制作用,资源禀赋和对外开放差异的正向效应趋于减弱。优化绿色经济效率空间关联网络,对于提高区域绿色经济效率和缩小绿色发展的区域差异具有重要意义。
赵林, 曹乃刚, 韩增林, 高晓彤. 中国绿色经济效率空间关联网络演变特征及影响因素[J]. 资源科学, 2021, 43(10): 1933-1946.
ZHAO Lin, CAO Naigang, HAN Zenglin, GAO Xiaotong. Spatial correlation network and influencing factors of green economic efficiency in China[J]. Resources Science, 2021, 43(10): 1933-1946.
表1
2000—2018年中国绿色经济效率计算结果
省区 | 绿色经济效率值 | 省区 | 绿色经济效率值 | ||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
2000年 | 2006年 | 2012年 | 2018年 | 均值 | 2000年 | 2006年 | 2012年 | 2018年 | 均值 | ||
北京 | 0.418 | 0.600 | 0.798 | 1.008 | 0.718 | 湖南 | 0.721 | 0.501 | 0.490 | 0.535 | 0.525 |
天津 | 0.575 | 0.705 | 0.846 | 1.003 | 0.773 | 广东 | 0.637 | 0.968 | 0.834 | 0.860 | 0.853 |
河北 | 0.559 | 0.438 | 0.377 | 0.505 | 0.450 | 广西 | 0.693 | 0.450 | 0.480 | 0.592 | 0.528 |
山西 | 0.598 | 0.457 | 0.485 | 1.001 | 0.549 | 海南 | 0.680 | 0.796 | 0.771 | 1.002 | 0.785 |
内蒙古 | 0.653 | 0.382 | 0.596 | 0.622 | 0.519 | 重庆 | 0.568 | 0.523 | 0.749 | 0.794 | 0.653 |
辽宁 | 0.744 | 0.478 | 0.729 | 0.907 | 0.678 | 四川 | 0.571 | 0.453 | 0.587 | 0.660 | 0.538 |
吉林 | 0.607 | 0.394 | 0.537 | 0.540 | 0.515 | 贵州 | 0.506 | 0.410 | 0.423 | 0.635 | 0.457 |
黑龙江 | 0.774 | 0.573 | 0.394 | 0.412 | 0.509 | 云南 | 0.573 | 0.384 | 0.453 | 0.623 | 0.474 |
上海 | 0.755 | 0.936 | 0.957 | 1.002 | 0.948 | 陕西 | 0.511 | 0.411 | 0.537 | 0.690 | 0.508 |
江苏 | 0.674 | 0.594 | 0.680 | 0.823 | 0.651 | 甘肃 | 0.496 | 0.456 | 0.330 | 0.489 | 0.406 |
浙江 | 0.536 | 0.622 | 0.726 | 0.781 | 0.661 | 青海 | 0.362 | 0.390 | 0.577 | 0.743 | 0.499 |
安徽 | 0.741 | 0.362 | 0.353 | 0.441 | 0.430 | 宁夏 | 0.342 | 0.306 | 0.409 | 0.637 | 0.393 |
福建 | 0.724 | 0.723 | 0.831 | 1.001 | 0.805 | 新疆 | 0.457 | 0.435 | 0.470 | 0.556 | 0.451 |
江西 | 0.768 | 0.388 | 0.383 | 0.693 | 0.522 | 东部 | 0.634 | 0.663 | 0.732 | 0.865 | 0.713 |
山东 | 0.673 | 0.428 | 0.501 | 0.624 | 0.517 | 中部 | 0.699 | 0.449 | 0.445 | 0.596 | 0.508 |
河南 | 0.733 | 0.437 | 0.385 | 0.502 | 0.478 | 西部 | 0.521 | 0.418 | 0.510 | 0.640 | 0.493 |
湖北 | 0.646 | 0.480 | 0.535 | 0.647 | 0.536 | 全国 | 0.610 | 0.516 | 0.574 | 0.711 | 0.578 |
表2
2000—2018年中国绿色经济效率空间关联的网络中心性分析
地区 | 点入度/点出度 | 度数中心度 | 中介中心度 | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2000年 | 2006年 | 2012年 | 2018年 | 2000年 | 2006年 | 2012年 | 2018年 | 2000年 | 2006年 | 2012年 | 2018年 | |||
北京 | 8/22 | 6/25 | 4/24 | 6/24 | 79.310 | 86.207 | 86.207 | 82.759 | 17.858 | 11.728 | 8.405 | 8.233 | ||
天津 | 8/21 | 4/24 | 3/26 | 5/24 | 79.310 | 82.759 | 89.655 | 82.759 | 7.795 | 4.536 | 8.774 | 5.154 | ||
河北 | 4/3 | 3/2 | 4/3 | 5/3 | 13.793 | 10.345 | 13.793 | 17.241 | 0.139 | 0.239 | 6.705 | 1.053 | ||
山西 | 5/3 | 3/3 | 5/3 | 4/7 | 17.241 | 13.793 | 17.241 | 24.138 | 0.180 | 0.239 | 7.522 | 1.617 | ||
内蒙古 | 3/2 | 4/2 | 6/14 | 5/2 | 10.345 | 17.241 | 55.172 | 20.690 | 0.139 | 0.108 | 28.478 | 0.489 | ||
辽宁 | 4/5 | 4/1 | 5/4 | 4/3 | 24.138 | 13.793 | 24.138 | 17.241 | 6.789 | 0.000 | 6.650 | 1.053 | ||
吉林 | 5/2 | 5/1 | 5/2 | 6/1 | 17.241 | 17.241 | 17.241 | 20.690 | 3.448 | 0.062 | 0.000 | 0.000 | ||
黑龙江 | 5/1 | 3/0 | 8/2 | 9/1 | 17.241 | 10.345 | 27.586 | 31.034 | 0.000 | 0.000 | 2.833 | 0.452 | ||
上海 | 4/28 | 4/27 | 4/26 | 4/26 | 96.552 | 93.103 | 89.655 | 89.655 | 21.618 | 6.500 | 9.011 | 11.680 | ||
江苏 | 2/14 | 2/16 | 3/20 | 3/24 | 48.276 | 55.172 | 68.966 | 82.759 | 0.247 | 0.592 | 4.269 | 10.382 | ||
浙江 | 2/13 | 2/19 | 3/18 | 4/18 | 44.828 | 65.517 | 62.069 | 65.517 | 0.216 | 0.777 | 7.480 | 2.713 | ||
安徽 | 3/7 | 5/3 | 5/3 | 5/5 | 24.138 | 17.241 | 17.241 | 24.138 | 0.680 | 2.401 | 2.517 | 1.236 | ||
福建 | 3/8 | 3/6 | 6/9 | 5/12 | 34.483 | 27.586 | 44.828 | 48.276 | 0.442 | 0.308 | 3.533 | 5.913 | ||
江西 | 5/4 | 7/0 | 8/4 | 8/6 | 20.690 | 24.138 | 27.586 | 27.586 | 21.000 | 0.000 | 12.277 | 26.450 | ||
山东 | 4/7 | 4/4 | 3/4 | 6/5 | 27.586 | 17.241 | 17.241 | 27.586 | 0.303 | 0.412 | 0.683 | 1.209 | ||
河南 | 5/3 | 6/2 | 7/1 | 7/0 | 17.241 | 20.690 | 24.138 | 24.138 | 0.303 | 0.570 | 0.343 | 0.000 | ||
湖北 | 6/0 | 6/0 | 6/2 | 8/2 | 20.690 | 20.690 | 20.690 | 31.034 | 0.000 | 0.000 | 2.258 | 0.070 | ||
湖南 | 7/1 | 7/1 | 8/1 | 8/2 | 24.138 | 24.138 | 27.586 | 27.586 | 2.535 | 0.302 | 0.873 | 1.662 | ||
广东 | 7/12 | 5/14 | 7/9 | 7/9 | 48.276 | 51.724 | 37.931 | 34.483 | 25.225 | 7.759 | 17.620 | 27.225 | ||
广西 | 6/2 | 7/1 | 8/1 | 9/1 | 20.690 | 24.138 | 27.586 | 31.034 | 2.670 | 0.302 | 0.873 | 5.354 | ||
海南 | 4/2 | 5/1 | 7/1 | 7/3 | 13.793 | 17.241 | 24.138 | 27.586 | 1.478 | 0.240 | 0.086 | 1.243 | ||
重庆 | 8/1 | 7/1 | 6/4 | 8/5 | 27.586 | 24.138 | 27.586 | 31.034 | 0.000 | 0.000 | 3.918 | 16.626 | ||
四川 | 7/0 | 6/0 | 9/1 | 8/1 | 24.138 | 20.690 | 31.034 | 27.586 | 0.000 | 0.000 | 0.924 | 0.179 | ||
贵州 | 8/2 | 8/2 | 9/2 | 8/2 | 27.586 | 27.586 | 31.034 | 27.586 | 5.983 | 1.964 | 4.835 | 5.533 | ||
云南 | 7/0 | 7/0 | 9/0 | 8/2 | 24.138 | 24.138 | 31.034 | 27.586 | 0.000 | 0.000 | 0.000 | 5.533 | ||
陕西 | 7/0 | 6/0 | 6/1 | 7/1 | 24.138 | 20.690 | 24.138 | 24.138 | 0.000 | 0.000 | 0.000 | 0.021 | ||
甘肃 | 7/1 | 7/1 | 14/2 | 12/4 | 27.586 | 24.138 | 48.276 | 41.379 | 0.041 | 0.000 | 22.098 | 14.095 | ||
青海 | 9/0 | 7/1 | 7/1 | 6/1 | 31.034 | 24.138 | 24.138 | 20.690 | 0.000 | 0.000 | 0.000 | 0.000 | ||
宁夏 | 8/0 | 8/0 | 7/2 | 6/1 | 27.586 | 27.586 | 24.138 | 20.690 | 0.000 | 0.000 | 22.626 | 0.000 | ||
新疆 | 3/0 | 6/0 | 8/0 | 7/0 | 10.345 | 20.690 | 27.586 | 24.138 | 0.000 | 0.000 | 0.000 | 0.000 | ||
均值 | 5.5/5.5 | 5.2/5.2 | 6.3/6.3 | 6.5/6.5 | 30.805 | 30.805 | 36.322 | 36.092 | 3.970 | 1.301 | 6.186 | 5.173 |
表4
2000—2018年绿色经济效率空间关联性影响因素的QAP回归结果
变量 | 2000年 | 2002年 | 2004年 | 2006年 | 2008年 | 2010年 | 2012年 | 2014年 | 2016年 | 2018年 |
---|---|---|---|---|---|---|---|---|---|---|
dis | 0.193*** (0.000) | 0.204*** (0.000) | 0.187*** (0.000) | 0.208*** (0.000) | 0.214*** (0.000) | 0.243*** (0.000) | 0.271*** (0.000) | 0.270*** (0.000) | 0.271*** (0.000) | 0.286*** (0.000) |
pgdp | 0.394*** (0.000) | 0.441*** (0.000) | 0.345*** (0.000) | 0.416*** (0.000) | 0.349*** (0.000) | 0.462*** (0.000) | 0.468*** (0.000) | 0.483*** (0.000) | 0.550*** (0.000) | 0.601*** (0.000) |
tec | -0.114** (0.030) | -0.183*** (0.003) | -0.031 (0.329) | -0.212*** (0.002) | -0.193** (0.016) | -0.114** (0.032) | -0.093* (0.070) | -0.100** (0.014) | -0.107*** (0.002) | -0.122*** (0.001) |
inds | 0.004 (0.467) | 0.044* (0.097) | 0.036 (0.138) | 0.124** (0.014) | 0.057 (0.197) | 0.015 (0.379) | 0.037 (0.277) | 0.052 (0.142) | 0.082** (0.015) | 0.069** (0.042) |
res | 0.079** (0.011) | 0.063** (0.026) | 0.056** (0.043) | 0.074*** (0.005) | 0.085*** (0.002) | 0.087*** (0.000) | 0.078*** (0.001) | 0.045** (0.041) | 0.038** (0.039) | 0.014 (0.281) |
fina | 0.053 (0.107) | 0.019 (0.310) | 0.012 (0.404) | 0.061** (0.038) | 0.075** (0.016) | 0.028 (0.191) | 0.010 (0.368) | -0.014 (0.329) | -0.017 (0.223) | -0.058** (0.013) |
open | 0.241*** (0.002) | 0.282*** (0.000) | 0.250*** (0.001) | 0.245*** (0.000) | 0.278*** (0.000) | 0.129*** (0.006) | 0.109*** (0.006) | 0.096*** (0.004) | 0.018 (0.243) | 0.011 (0.408) |
R2 | 0.296 | 0.312 | 0.320 | 0.353 | 0.321 | 0.312 | 0.318 | 0.315 | 0.338 | 0.343 |
Adj-R2 | 0.292 | 0.307 | 0.315 | 0.348 | 0.317 | 0.307 | 0.313 | 0.310 | 0.333 | 0.339 |
P值 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
[1] |
康蕾, 宋周莺. 中国区域投入产出效率的研究框架与实证分析[J]. 地理科学, 2020, 40(11):1868-1877.
doi: 10.13249/j.cnki.sgs.2020.11.012 |
[ Kang L, Song Z Y. Research framework and empirical study of input-output efficiency of resources and environment in China[J]. Scientia Geographica Sinica, 2020, 40(11):1868-1877.] | |
[2] | 王圣云, 韩亚杰, 任慧敏, 等. 中国省域生态福利绩效评估及其驱动效应分解[J]. 资源科学, 2020, 42(5):840-855. |
[ Wang S Y, Han Y J, Ren H M, et al. Evaluation of provincial ecological well-being performance and its driving effect decomposition in China[J]. Resources Science, 2020, 42(5):840-855.] | |
[3] | 林伯强, 谭睿鹏. 中国经济集聚与绿色经济效率[J]. 经济研究, 2019, 54(2):119-132. |
[ Lin B Q, Tan R P. Economic agglomeration and green economy efficiency in China[J]. Economic Research Journal, 2019, 54(2):119-132.] | |
[4] |
刘华军, 贾文星. 中国区域经济增长的空间网络关联及收敛性检验[J]. 地理科学, 2019, 39(5):726-733.
doi: 10.13249/j.cnki.sgs.2019.05.003 |
[ Liu H J, Jia W X. Spatial network correlation and convergence test of regional economic growth in China[J]. Scientia Geographica Sinica, 2019, 39(5):726-733.] | |
[5] | Pearce D, Markandya A, Barbier E B. Blueprint for a Green Economy[M]. London: Earthscan Publication Limited, 1989. |
[6] | 雷敏, 张兴榆, 曹明明. 资源型城市绿色GDP核算研究: 以陕西省榆林市为例[J]. 自然资源学报, 2009, 24(12):2046-2055. |
[ Lei M, Zhang X Y, Cao M M. Accounting research of green GDP of resource dependent cities: A case study of Yulin City in Shaanxi Province[J]. Journal of Natural Resources, 2009, 24(12):2046-2055.] | |
[7] | Weng Q, Qin Q, Li L. A comprehensive evaluation paradigm for regional green development based on “Five-Circle Model”: A case study from Beijing-Tianjin-Hebei[J]. Journal of Cleaner Production, 2020, DOI: 10.1016/j.jclepro.2020.124076. |
[8] |
郭付友, 佟连军, 仇方道, 等. 黄河流域生态经济走廊绿色发展时空分异特征与影响因素识别[J]. 地理学报, 2021, 76(3):726-739.
doi: 10.11821/dlxb202103016 |
[ Guo F Y, Tong L J, Qiu F D, et al. Spatio-temporal differentiation characteristics and influencing factors of green development in the eco-economic corridor of the Yellow River Basin[J]. Acta Geographica Sinica, 2021, 76(3):726-739.] | |
[9] |
程钰, 王晶晶, 王亚平, 等. 中国绿色发展时空演变轨迹与影响机理研究[J]. 地理研究, 2019, 38(11):2745-2765.
doi: 10.11821/dlyj020190057 |
[ Cheng Y, Wang J J, Wang Y P, et al. A comparative research of the spatial-temporal evolution track and influence mechanism of green development in China[J]. Geographical Research, 2019, 38(11):2745-2765.] | |
[10] | Merino-Saum A, Baldi M G, Gunderson I, et al. Articulating natural resources and sustainable development goals through green economy indicators: A systematic analysis[J]. Resources, Conservation & Recycling, 2018, 139:90-103. |
[11] | Tong C, Ding S, Wang B, et al. Assessing the target-availability of China’s investments for green growth using time series prediction[J]. Physica A: Statistical Mechanics and its Applications, 2020, DOI: 10.1016/j.physa.2019.122724. |
[12] | 吴传清, 周西一敏. 长江经济带绿色经济效率的时空格局演变及其影响因素研究[J]. 宏观质量研究, 2020, 8(3):120-128. |
[ Wu C Q, Zhou X Y M. Research on the spatiotemporal evolution and the influencing factors of green economic efficiency in the Yangtze River Economic Belt[J]. Journal of Macro-Quality Research, 2020, 8(3):120-128.] | |
[13] | 胡博伟, 周亮, 王中辉, 等. 干旱区资源型城市绿色经济效率时空分异特征[J]. 资源科学, 2020, 42(2):383-393. |
[ Hu B W, Zhou L, Wang Z H, et al. Spatiotemporal differentiation of green economic efficiency of resource-based cities in arid area[J]. Resources Science, 2020, 42(2):383-393.] | |
[14] | Shuai S, Fan Z. Modeling the role of environmental regulations in regional green economy efficiency of China: Empirical evidence from super efficiency DEA-Tobit model[J]. Journal of Environmental Management, 2020, DOI: 10.1016/j.jenvman.2020.110227. |
[15] | 钱争鸣, 刘晓晨. 中国绿色经济效率的区域差异与影响因素分析[J]. 中国人口·资源与环境, 2013, 23(7):104-109. |
[ Qian Z M, Liu X C. Regional differences in China’s green economic efficiency and their determinants[J]. China Population, Resources and Environment, 2013, 23(7):104-109.] | |
[16] | Lu X, Qu Y, Sun P L, et al. Green transition of cultivated land use in the Yellow River Basin: A perspective of green utilization efficiency evaluation[J]. Land, 2020, DOI: 10.3390/land9120475. |
[17] | 岳立, 薛丹. 黄河流域沿线城市绿色发展效率时空演变及其影响因素[J]. 资源科学, 2020, 42(12):2274-2284. |
[ Yue L, Xue D. Spatiotemporal change of urban green development efficiency in the Yellow River Basin and influencing factors[J]. Resources Science, 2020, 42(12):2274-2284.] | |
[18] |
车磊, 白永平, 周亮, 等. 中国绿色发展效率的空间特征及溢出分析[J]. 地理科学, 2018, 38(11):1788-1798.
doi: 10.13249/j.cnki.sgs.2018.11.006 |
[ Che L, Bai Y P, Zhou L, et al. Spatial pattern and spillover effects of green development efficiency in China[J] Scientia Geographica Sinica, 2018, 38(11):1788-1798.] | |
[19] | Wang Q, Yi H T. New energy demonstration program and China’s urban green economic growth: Do regional characteristics make a difference?[J]. Energy Policy, 2021, DOI: 10.1016/j.enpol.2021.112161. |
[20] | Ren Y F, Fang C L, Li G D. Spatiotemporal characteristics and influential factors of eco-efficiency in Chinese prefecture-level cities: A spatial panel econometric analysis[J]. Journal of Cleaner Production, 2020, DOI: 10.1016/j.jclepro.2020.120787. |
[21] |
任嘉敏, 马延吉. 地理学视角下绿色发展研究进展与展望[J]. 地理科学进展, 2020, 39(7):1196-1209.
doi: 10.18306/dlkxjz.2020.07.012 |
[ Ren J M, Ma Y J. Research progress and prospects of green development from the perspective of geography[J]. Progress in Geography, 2020, 39(7):1196-1209.] | |
[22] | Zhang H, Geng Z R, Yin R S, et al. Regional differences and convergence tendency of green development competitiveness in China[J]. Journal of Cleaner Production, 2020, DOI: 10.1016/j.jclepro.2019.119922. |
[23] |
Wang Z B, Wang X M, Liang L W. Green economic efficiency in the Yangtze River Delta: Spatiotemporal evolution and influencing factors[J]. Ecosystem Health and Sustainability, 2019, 5(1):20-35.
doi: 10.1080/20964129.2018.1559000 |
[24] |
Sun C X, Tong Y L, Zou W. The evolution and a temporal-spatial difference analysis of green development in China[J]. Sustainable Cities and Society, 2018, 41:52-61.
doi: 10.1016/j.scs.2018.05.006 |
[25] | Cheng C Y, Ge C Z. Green development assessment for countries along the Belt and Road[J]. Journal of Environmental Management, 2020, DOI: 10.1016/j.jenvman.2020.110344. |
[26] | Zhao P J, Zeng L E, Lu H Y, et al. Green economic efficiency and its influencing factors in China from 2008 to 2017: Based on the Super-SBM model with undesirable outputs and spatial Durbin model[J]. Science of the Total Environment, 2020, DOI: 10.1016/j.scitotenv. |
[27] | 辛龙, 孙慧, 王慧, 等. 基于地理探测器的绿色经济效率时空分异及驱动力研究[J]. 中国人口·资源与环境, 2020, 30(9):128-138. |
[ Xin L, Sun H, Wang H, et al. Research on spatial-temporal differentiation and driving forces of green economic efficiency based on geographic detector[J]. China Population, Resources and Environment, 2020, 30(9):128-138.] | |
[28] | Ma L, Long H, Chen K, et al. Green growth efficiency of Chinese cities and its spatio-temporal pattern[J]. Resources, Conservation & Recycling, 2019, 146:441-451. |
[29] |
周亮, 车磊, 周成虎. 中国城市绿色发展效率时空演变特征及影响因素[J]. 地理学报, 2019, 74(10):2027-2044.
doi: 10.11821/dlxb201910006 |
[ Zhou L, Che L, Zhou C H. Spatio-temporal evolution and influencing factors of urban green development efficiency in China[J]. Acta Geographica Sinica, 2019, 74(10):2027-2044.] | |
[30] |
Tone K, Tsutsui M. An epsilon-based measure of efficiency in DEA: A third pole of technical efficiency[J]. European Journal of Operational Research, 2010, 207(3):1554-1563.
doi: 10.1016/j.ejor.2010.07.014 |
[31] | 刘华军, 贾文星. 不同空间网络关联情形下中国区域经济增长的收敛检验及协调发展[J]. 南开经济研究, 2019, (3):104-124. |
[ Liu H J, Jia W X. Convergence test and coordinated development of China’s regional economic growth under the background of different spatial network[J]. Nankai Economic Studies, 2019, (3):104-124.] | |
[32] |
冯颖, 侯孟阳, 姚顺波. 中国粮食生产空间关联网络的结构特征及其形成机制[J]. 地理学报, 2020, 75(11):2380-2395.
doi: 10.11821/dlxb202011008 |
[ Feng Y, Hou M Y, Yao S B. Structural characteristics and formation mechanism of spatial correlation network of grain production in China[J]. Acta Geographica Sinica, 2020, 75(11):2380-2395.] | |
[33] | 刘佳, 宋秋月. 中国旅游产业绿色创新效率的空间网络结构与形成机制[J]. 中国人口·资源与环境, 2018, 28(8):127-137. |
[ Liu J, Song Q Y. Space network structure and formation mechanism of green innovation efficiency of tourism industry in China[J]. China Population, Resources and Environment, 2018, 28(8):127-137.] | |
[34] |
孙才志, 马奇飞. 中国省际水资源绿色效率空间关联网络研究[J]. 地理研究, 2020, 39(1):53-63.
doi: 10.11821/dlyj020180926 |
[ Sun C Z, Ma Q F. Spatial correlation network of water resources green efficiency between provinces of China[J]. Geographical Research, 2020, 39(1):53-63.] | |
[35] |
李晖, 刘卫东, 唐志鹏. 全球贸易隐含碳净转移的空间关联网络特征[J]. 资源科学, 2021, 43(4):682-692.
doi: 10.18402/resci.2021.04.04 |
[ Li H, Liu W D, Tang Z P. Spatial correlation network of net carbon transfer in global trade[J]. Resources Science, 2021, 43(4):682-692.] | |
[36] | Liu S N, Xiao Q T. An empirical analysis on spatial correlation investigation of industrial carbon emissions using SNA-ICE model[J]. Energy, 2021, DOI: 10.1016/j.energy. |
[37] | 张鹏, 于伟. 基于社会网络分析的我国绿色全要素生产率增长空间特征及其动因研究[J]. 经济问题探索, 2017, (2):39-46. |
[ Zhang P, Yu W. Research on the spatial characteristics and motivation of green total factor productivity growth in China based on social network analysis[J]. Inquiry into Economic Issues, 2017, (2):39-46.] | |
[38] | 刘小瑜, 余海华. 中国省际绿色发展的空间关联及溢出效应[J]. 江西财经大学学报, 2020, (3):14-24. |
[ Liu X Y, Yu H H. Spatial correlation and spillover effect of China’s inter-provincial green development[J]. Journal of Jiangxi University of Finance and Economics, 2020, (3):14-24.] | |
[39] | 秦腾, 佟金萍, 章恒全. 环境约束下中国省际水资源效率空间关联网络构建及演化因素[J]. 中国人口·资源与环境, 2020, 30(12):84-94. |
[ Qin T, Tong J P, Zhang H Q. Construction and evolutionary factors of spatial correlation network of China’s provincial water resource efficiency under environmental constraints[J]. China Population, Resources and Environment, 2020, 30(12):84-94.] | |
[40] | 刘耀彬, 袁华锡, 王喆. 文化产业集聚对绿色经济效率的影响: 基于动态面板模型的实证分析[J]. 资源科学, 2017, 39(4):747-755. |
[ Liu Y B, Yuan H X, Wang Z. Dynamic panel data modeling of the effects of cultural industry clusters on green economic efficiency[J]. Resources Science, 2017, 39(4):747-755.] | |
[41] | 单豪杰. 中国资本存量K的再估算: 1952-2006年[J]. 数量经济技术经济研究, 2008, (10):18-32. |
[ Shan H J. Reestimating the capital stock of China: 1952-2006[J]. The Journal of Quantitative & Technical Economics, 2008, (10):18-32.] | |
[42] | 汪克亮, 刘悦, 史利娟, 等. 长江经济带工业绿色水资源效率的时空分异与影响因素: 基于EBM-Tobit模型的两阶段分析[J]. 资源科学, 2017, 39(8):1522-1534. |
[ Wang K L, Liu Y, Shi L J, et al. Yangtze River Economic Zone spatial and temporal disparities in industrial green water resource efficiency and influencing factors based on two-step analysis of EBM-Tobit model[J]. Resources Science, 2017, 39(8):1522-1534.] | |
[43] | 樊鹏飞, 冯淑怡, 苏敏, 等. 基于非期望产出的不同职能城市土地利用效率分异及驱动因素探究[J]. 资源科学, 2018, 40(5):946-957. |
[ Fan P F, Feng S Y, Su M, et al. Differential characteristics and driving factors of land use efficiency in different functional cities based on undesirable outputs[J]. Resources Science, 2018, 40(5):946-957.] | |
[44] | 刘军. 整体网分析: UCINET软件实用指南. 2版[M]. 上海: 格致出版社, 2014. |
[ Liu J. Lecture on Whole Network Approach: A Practical Guide to UCINET. 2nd ed.[M]. Shanghai: Gezhi Publishing House, 2014.] | |
[45] | Wasserman S, Faust K. Social Network Analysis: Methods and Applications[M]. London: Cambridge University Press, 1994. |
[46] |
黄建欢, 吕海龙, 王良健. 金融发展影响区域绿色发展的机理: 基于生态效率和空间计量的研究[J]. 地理研究, 2014, 33(3):532-545.
doi: 10.11821/dlyj201403012 |
[ Huang J H, Lv H L, Wang L J. Mechanism of financial development influencing regional green development: Based on eco-efficiency and spatial econometrics[J]. Geographical Research, 2014, 33(3):532-545.] |
[1] | 汪小英, 王宜龙, 沈镭, 李小漫, 杜强涛. 信息化对中国能源强度的空间效应——基于空间杜宾误差模型[J]. 资源科学, 2021, 43(9): 1752-1763. |
[2] | 赵佳, 朱雨可. 基于投资视角的居民消费结构变动对环境效率的影响[J]. 资源科学, 2021, 43(9): 1764-1777. |
[3] | 许航, 李韬, 宋健峰. 旱区农业灌溉用水反弹效应及其区域差异——以西北五省(区)为例[J]. 资源科学, 2021, 43(9): 1808-1820. |
[4] | 盛科荣, 王丽萍, 孙威. 网络权力、知识溢出对中国城市绿色经济效率的影响[J]. 资源科学, 2021, 43(8): 1509-1521. |
[5] | 郑晓舟, 郭晗, 卢山冰. 环境规制、要素区际流动与城市群产业结构调整[J]. 资源科学, 2021, 43(8): 1522-1533. |
[6] | 孟思琦, 孙仁金, 郭风. 可再生能源发电份额对德国市场化电价的影响[J]. 资源科学, 2021, 43(8): 1562-1573. |
[7] | 梁杰, 高堃, 高强. 交易成本、生产成本与农业生产环节外包——基于农地禀赋效应调节视角[J]. 资源科学, 2021, 43(8): 1589-1604. |
[8] | 江文曲, 李晓云, 刘楚杰, 孙倩. 城乡居民膳食结构变化对中国水资源需求的影响——基于营养均衡的视角[J]. 资源科学, 2021, 43(8): 1662-1674. |
[9] | 张丹, 王敏, 甘萌雨, 杨林生. 北极旅游影响因素研究进展[J]. 资源科学, 2021, 43(8): 1687-1699. |
[10] | 王兆林, 王敏. 基于TAM-PR的农户宅基地退出决策影响因素——以重庆市为例[J]. 资源科学, 2021, 43(7): 1335-1347. |
[11] | 彭山桂, 孙昊, 王健, 张勇. 农户互动对农村宅基地退出补偿的影响——基于社会网络视角[J]. 资源科学, 2021, 43(7): 1440-1453. |
[12] | 吴立珺, 吴泽斌. 宅基地退出对家庭福利水平的影响——基于家庭风险承载力视角[J]. 资源科学, 2021, 43(7): 1479-1491. |
[13] | 李煜阳, 陆迁, 贾彬, 刘戴娆. 劳动力外出务工对农户水土保持技术采用的影响——基于集体行动参与的中介效应[J]. 资源科学, 2021, 43(6): 1088-1098. |
[14] | 张翠玲, 强文丽, 牛叔文, 王睿, 张赫, 成升魁, 李凡. 基于多目标的中国食物消费结构优化[J]. 资源科学, 2021, 43(6): 1140-1152. |
[15] | 李晨, 李昊玉, 孔海峥, 冯伟. 中国渔业生产系统隐含碳排放结构特征及驱动因素分解[J]. 资源科学, 2021, 43(6): 1166-1177. |
|