Ecology and Environmental Sciences ›› 2025, Vol. 34 ›› Issue (6): 974-985.DOI: 10.16258/j.cnki.1674-5906.2025.06.014
• Research Article [Environmental Science] • Previous Articles Next Articles
HAO Xiaoyan1,2(), DONG Chao1,2, XUE Yang1,2,*(
), HAN Liping1,2
Received:
2024-09-15
Online:
2025-06-18
Published:
2025-06-11
郝晓燕1,2(), 董超1,2, 薛阳1,2,*(
), 韩丽萍1,2
通讯作者:
* 薛阳, E-mail: 作者简介:
郝晓燕(1973年生),女,教授,博士,研究方向为区域经济增长、产业安全规制、能源经济评价。E-mail: haoxiaoyanyan@163.com
基金资助:
CLC Number:
HAO Xiaoyan, DONG Chao, XUE Yang, HAN Liping. Symbiotic Effects and Influencing Factors of Energy Supply and Ecological Security in Energy Endowment Advantageous Areas[J]. Ecology and Environmental Sciences, 2025, 34(6): 974-985.
郝晓燕, 董超, 薛阳, 韩丽萍. 能源禀赋优势区能源供给与生态安全共生效应及影响因素[J]. 生态环境学报, 2025, 34(6): 974-985.
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URL: https://www.jeesci.com/EN/10.16258/j.cnki.1674-5906.2025.06.014
共生单元 | 维度 | 指标 | 赋值方法 | 权重 | 参考依据 |
---|---|---|---|---|---|
能源供给安全 | 能源可获得性 | 人均能源生产量 | 区域一次能源生产总量/区域常住人口数量 | 0.197 | 薛静静等, |
能源自给率 | 区域一次能源生产总量/区域能源消费总量 | 0.134 | 薛静静等, | ||
省域能源产量占 中国总产量比例 | 区域一次能源生产总量/中国一次能源生产总量 | 0.163 | 薛静静等, | ||
能源结构稳定性 | 火电发电比例 | 区域火电发电量/区域发电量 | 0.023 | 李斌等, | |
新能源发电比例 | (区域风力发电量+区域太阳能发电量)/区域发电量 | 0.070 | 陈黎明等, | ||
火电装机比重 | 区域火电装机容量/区域发电装机容量合计 | 0.023 | 张展鹏等, | ||
新能源装机比重 | (区域风力发电装机容量+区域太阳能发电装机容量)/区域发电装机容量合计 | 0.049 | 李响等, | ||
能源可支付性 | 燃料消费 价格指数 | 燃料商品零售价格指数 | 0.019 | 孙才志等, | |
能源 效率性 | 能源消费强度 | 一个国家或地区在一定时期内能源消费总量与国内生产总值(GDP)之比 | 0.014 | 薛静静等, | |
生态安全 | “三废”排放 | 废水中工业氨氮 排放总量 | 0.004 | 孙亚男等, | |
工业二氧化硫 排放量 | 0.019 | 张雪薇等, | |||
工业氮氧化物 排放量 | 0.011 | 张敏等, | |||
一般工业固体 废物产生量 | 0.012 | 张敏等, | |||
环境治理 | 工业污染治理投资总额 | 0.102 | 金永杰等, | ||
一般工业固体废物综合利用量 | 0.064 | 菅利荣等, | |||
城市污水处理率 | 0.004 | 王礼刚, | |||
生活垃圾 无害化处理率 | 0.003 | 王礼刚, | |||
环境建设 | 人均公园绿地面积 | 0.025 | 贺小荣等, | ||
建成区绿化覆盖率 | 0.017 | 胡宗义等, | |||
森林覆盖率 | 0.047 | 胡宗义等, |
Table 1 Comprehensive evaluation index system for the symbiotic relationship between energy supply security and ecological security
共生单元 | 维度 | 指标 | 赋值方法 | 权重 | 参考依据 |
---|---|---|---|---|---|
能源供给安全 | 能源可获得性 | 人均能源生产量 | 区域一次能源生产总量/区域常住人口数量 | 0.197 | 薛静静等, |
能源自给率 | 区域一次能源生产总量/区域能源消费总量 | 0.134 | 薛静静等, | ||
省域能源产量占 中国总产量比例 | 区域一次能源生产总量/中国一次能源生产总量 | 0.163 | 薛静静等, | ||
能源结构稳定性 | 火电发电比例 | 区域火电发电量/区域发电量 | 0.023 | 李斌等, | |
新能源发电比例 | (区域风力发电量+区域太阳能发电量)/区域发电量 | 0.070 | 陈黎明等, | ||
火电装机比重 | 区域火电装机容量/区域发电装机容量合计 | 0.023 | 张展鹏等, | ||
新能源装机比重 | (区域风力发电装机容量+区域太阳能发电装机容量)/区域发电装机容量合计 | 0.049 | 李响等, | ||
能源可支付性 | 燃料消费 价格指数 | 燃料商品零售价格指数 | 0.019 | 孙才志等, | |
能源 效率性 | 能源消费强度 | 一个国家或地区在一定时期内能源消费总量与国内生产总值(GDP)之比 | 0.014 | 薛静静等, | |
生态安全 | “三废”排放 | 废水中工业氨氮 排放总量 | 0.004 | 孙亚男等, | |
工业二氧化硫 排放量 | 0.019 | 张雪薇等, | |||
工业氮氧化物 排放量 | 0.011 | 张敏等, | |||
一般工业固体 废物产生量 | 0.012 | 张敏等, | |||
环境治理 | 工业污染治理投资总额 | 0.102 | 金永杰等, | ||
一般工业固体废物综合利用量 | 0.064 | 菅利荣等, | |||
城市污水处理率 | 0.004 | 王礼刚, | |||
生活垃圾 无害化处理率 | 0.003 | 王礼刚, | |||
环境建设 | 人均公园绿地面积 | 0.025 | 贺小荣等, | ||
建成区绿化覆盖率 | 0.017 | 胡宗义等, | |||
森林覆盖率 | 0.047 | 胡宗义等, |
α取值 | 共生关系类别 | 共生关系特征 |
---|---|---|
αab=αba,αab>0,αba>0 αab≠αba,αab>0,αba>0 | 正向共生 | 能源供给安全与生态安全为正向对称互惠共生关系 能源供给安全与生态安全为正向非对称互惠共生关系 |
αab=αba,αab<0,αba<0 αab≠αba,αab<0,αba<0 | 反向共生 | 能源供给安全与生态安全为反向对称共生关系 能源供给安全与生态安全为反向非对称共生关系 |
αab>0,αba=0;αba>0,αab=0 | 正向偏利共生 | 共生度为正值的为受益方,共生度值为零的为非受益方 |
αab<0,αba=0;αba<0,αab=0 | 反向偏利共生 | 共生度为负值的为受害方,共生度值为零的为非受害方 |
αab=0,αba=0 | 并生 | 不存在共生关系,独立发展 |
αab×αba<0 | 寄生 | 共生度为正值的是受益方,共生度为负值的是受害方 |
Table 2 Basis for determining the type of symbiotic relationship
α取值 | 共生关系类别 | 共生关系特征 |
---|---|---|
αab=αba,αab>0,αba>0 αab≠αba,αab>0,αba>0 | 正向共生 | 能源供给安全与生态安全为正向对称互惠共生关系 能源供给安全与生态安全为正向非对称互惠共生关系 |
αab=αba,αab<0,αba<0 αab≠αba,αab<0,αba<0 | 反向共生 | 能源供给安全与生态安全为反向对称共生关系 能源供给安全与生态安全为反向非对称共生关系 |
αab>0,αba=0;αba>0,αab=0 | 正向偏利共生 | 共生度为正值的为受益方,共生度值为零的为非受益方 |
αab<0,αba=0;αba<0,αab=0 | 反向偏利共生 | 共生度为负值的为受害方,共生度值为零的为非受害方 |
αab=0,αba=0 | 并生 | 不存在共生关系,独立发展 |
αab×αba<0 | 寄生 | 共生度为正值的是受益方,共生度为负值的是受害方 |
取值结果 | 特征 |
---|---|
θab=θba=0.5 | 能源供给安全与生态安全彼此间的影响相同 |
θab×θba=0 | 能源供给安全与生态安全仅有一方对另一方有影响 |
0<θba<θab<1 | 能源供给安全对生态安全的影响小于生态安全对能源供给安全的影响 |
0<θab<θba<1 | 能源供给安全对生态安全的影响大于生态安全对能源供给安全的影响 |
Table 3 Basis for determining the interaction between energy supply security and ecological security
取值结果 | 特征 |
---|---|
θab=θba=0.5 | 能源供给安全与生态安全彼此间的影响相同 |
θab×θba=0 | 能源供给安全与生态安全仅有一方对另一方有影响 |
0<θba<θab<1 | 能源供给安全对生态安全的影响小于生态安全对能源供给安全的影响 |
0<θab<θba<1 | 能源供给安全对生态安全的影响大于生态安全对能源供给安全的影响 |
地区 | 年份 | 均值 | ||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2017 | 2018 | 2019 | 2020 | 2021 | ||||||||||||
αab | αba | αab | αba | αab | αba | αab | αba | αab | αba | αab | αba | |||||
京 | 0.833 | 1.200 | −0.211 | −4.742 | −19.729 | −0.051 | −15.918 | −0.063 | −40.587 | −0.025 | −15.122 | −0.736 | ||||
津 | 0.726 | 1.377 | −0.103 | −9.732 | 1.209 | 0.827 | −1.907 | −0.524 | 0.734 | 1.362 | 0.132 | −1.338 | ||||
冀 | 1.309 | 0.764 | 0.068 | 14.703 | −0.350 | −2.854 | −1.328 | −0.753 | 1.330 | 0.752 | 0.206 | 2.523 | ||||
晋 | 1.252 | 0.799 | −4.147 | −0.241 | 0.485 | 2.060 | −2.274 | −0.440 | −1.000 | −1.000 | −1.137 | 0.236 | ||||
蒙 | 1.005 | 0.995 | −0.115 | −8.660 | −1.338 | −0.747 | −1.490 | −0.671 | 1.638 | 0.610 | −0.060 | −1.695 | ||||
辽 | 1.072 | 0.932 | −0.707 | −1.415 | 0.826 | 1.211 | 0.323 | 3.098 | −0.887 | −1.128 | 0.126 | 0.540 | ||||
吉 | 1.093 | 0.915 | 1.589 | 0.629 | 0.856 | 1.168 | −7.235 | −0.138 | −0.968 | −1.034 | −0.933 | 0.308 | ||||
黑 | 0.952 | 1.051 | −0.021 | −46.766 | −1.598 | −0.626 | 2.751 | 0.363 | −0.268 | −3.729 | 0.363 | −9.941 | ||||
沪 | 0.856 | 1.169 | −0.144 | −6.927 | 0.473 | 2.112 | −0.322 | −3.104 | −3.453 | −0.290 | −0.518 | −1.408 | ||||
苏 | 1.008 | 0.992 | 0.223 | 4.487 | −0.953 | −1.050 | 1.331 | 0.751 | 0.155 | 6.452 | 0.353 | 2.327 | ||||
浙 | 0.867 | 1.153 | 3.557 | 0.281 | 13.583 | 0.074 | 0.507 | 1.972 | 0.394 | 2.540 | 3.781 | 1.204 | ||||
皖 | 0.765 | 1.307 | −4.009 | −0.249 | 0.580 | 1.724 | −0.209 | −4.787 | 83.704 | 0.012 | 16.166 | −0.399 | ||||
闽 | 0.930 | 1.075 | 0.147 | 6.823 | −12.553 | −0.080 | 2.191 | 0.456 | 16.078 | 0.062 | 1.359 | 1.667 | ||||
赣 | 0.956 | 1.047 | 0.356 | 2.806 | 5.709 | 0.175 | −3.219 | −0.311 | −1.883 | −0.531 | 0.384 | 0.637 | ||||
鲁 | 1.117 | 0.896 | 0.002 | 446.593 | 0.147 | 6.822 | −0.219 | −4.565 | 1.173 | 0.853 | 0.444 | 90.120 | ||||
豫 | 0.787 | 1.271 | −0.562 | −1.779 | 1.136 | 0.881 | −0.467 | −2.142 | −0.199 | −5.023 | 0.139 | −1.358 | ||||
鄂 | 0.773 | 1.294 | 1.871 | 0.534 | 1.563 | 0.640 | 1.937 | 0.516 | 19.710 | 0.051 | 5.171 | 0.607 | ||||
湘 | 0.901 | 1.110 | 1.907 | 0.525 | 3.000 | 0.333 | −1.240 | −0.806 | −0.493 | −2.028 | 0.815 | −0.173 | ||||
粤 | 1.018 | 0.982 | −0.243 | −4.108 | 3.626 | 0.276 | −1.075 | −0.931 | −0.916 | −1.092 | 0.482 | −0.975 | ||||
桂 | 0.892 | 1.122 | 3.540 | 0.283 | 3.708 | 0.270 | 10.046 | 0.100 | 3.574 | 0.280 | 4.352 | 0.411 | ||||
琼 | 1.089 | 0.918 | −3.215 | −0.311 | 4.232 | 0.236 | 2.642 | 0.378 | −7.248 | −0.138 | −0.500 | 0.217 | ||||
渝 | 0.776 | 1.288 | −0.006 | −155.237 | −57.021 | −0.018 | 2.113 | 0.473 | 13.260 | 0.075 | −8.176 | −30.683 | ||||
川 | 0.540 | 1.852 | −0.200 | −5.002 | 4.863 | 0.206 | 0.255 | 3.928 | −2.478 | −0.404 | 0.596 | 0.116 | ||||
贵 | 0.854 | 1.171 | −0.273 | −3.665 | 0.447 | 2.239 | 0.455 | 2.197 | 4.606 | 0.217 | 1.218 | 0.432 | ||||
云 | 0.930 | 1.075 | 0.214 | 4.667 | 1.340 | 0.746 | −0.229 | −4.360 | 12.944 | 0.077 | 3.040 | 0.441 | ||||
陕 | 0.578 | 1.730 | −22.502 | −0.044 | −0.036 | −27.748 | 2.482 | 0.403 | 0.650 | 1.539 | −3.766 | −4.824 | ||||
甘 | 1.155 | 0.866 | −0.564 | −1.773 | 0.759 | 1.317 | 0.866 | 1.155 | −0.837 | −1.195 | 0.276 | 0.074 | ||||
青 | 1.085 | 0.922 | 4.929 | 0.203 | 2.162 | 0.462 | −1.080 | −0.926 | 0.360 | 2.780 | 1.491 | 0.688 | ||||
宁 | 1.019 | 0.982 | 0.243 | 4.121 | 0.023 | 42.912 | 1.065 | 0.939 | 5.407 | 0.185 | 1.551 | 9.828 | ||||
新 | 0.938 | 1.066 | 0.329 | 3.040 | 0.789 | 1.268 | −0.435 | −2.297 | 0.170 | 5.888 | 0.358 | 1.793 |
Table 4 Calculation of the degree of coexistence 2017?2021
地区 | 年份 | 均值 | ||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2017 | 2018 | 2019 | 2020 | 2021 | ||||||||||||
αab | αba | αab | αba | αab | αba | αab | αba | αab | αba | αab | αba | |||||
京 | 0.833 | 1.200 | −0.211 | −4.742 | −19.729 | −0.051 | −15.918 | −0.063 | −40.587 | −0.025 | −15.122 | −0.736 | ||||
津 | 0.726 | 1.377 | −0.103 | −9.732 | 1.209 | 0.827 | −1.907 | −0.524 | 0.734 | 1.362 | 0.132 | −1.338 | ||||
冀 | 1.309 | 0.764 | 0.068 | 14.703 | −0.350 | −2.854 | −1.328 | −0.753 | 1.330 | 0.752 | 0.206 | 2.523 | ||||
晋 | 1.252 | 0.799 | −4.147 | −0.241 | 0.485 | 2.060 | −2.274 | −0.440 | −1.000 | −1.000 | −1.137 | 0.236 | ||||
蒙 | 1.005 | 0.995 | −0.115 | −8.660 | −1.338 | −0.747 | −1.490 | −0.671 | 1.638 | 0.610 | −0.060 | −1.695 | ||||
辽 | 1.072 | 0.932 | −0.707 | −1.415 | 0.826 | 1.211 | 0.323 | 3.098 | −0.887 | −1.128 | 0.126 | 0.540 | ||||
吉 | 1.093 | 0.915 | 1.589 | 0.629 | 0.856 | 1.168 | −7.235 | −0.138 | −0.968 | −1.034 | −0.933 | 0.308 | ||||
黑 | 0.952 | 1.051 | −0.021 | −46.766 | −1.598 | −0.626 | 2.751 | 0.363 | −0.268 | −3.729 | 0.363 | −9.941 | ||||
沪 | 0.856 | 1.169 | −0.144 | −6.927 | 0.473 | 2.112 | −0.322 | −3.104 | −3.453 | −0.290 | −0.518 | −1.408 | ||||
苏 | 1.008 | 0.992 | 0.223 | 4.487 | −0.953 | −1.050 | 1.331 | 0.751 | 0.155 | 6.452 | 0.353 | 2.327 | ||||
浙 | 0.867 | 1.153 | 3.557 | 0.281 | 13.583 | 0.074 | 0.507 | 1.972 | 0.394 | 2.540 | 3.781 | 1.204 | ||||
皖 | 0.765 | 1.307 | −4.009 | −0.249 | 0.580 | 1.724 | −0.209 | −4.787 | 83.704 | 0.012 | 16.166 | −0.399 | ||||
闽 | 0.930 | 1.075 | 0.147 | 6.823 | −12.553 | −0.080 | 2.191 | 0.456 | 16.078 | 0.062 | 1.359 | 1.667 | ||||
赣 | 0.956 | 1.047 | 0.356 | 2.806 | 5.709 | 0.175 | −3.219 | −0.311 | −1.883 | −0.531 | 0.384 | 0.637 | ||||
鲁 | 1.117 | 0.896 | 0.002 | 446.593 | 0.147 | 6.822 | −0.219 | −4.565 | 1.173 | 0.853 | 0.444 | 90.120 | ||||
豫 | 0.787 | 1.271 | −0.562 | −1.779 | 1.136 | 0.881 | −0.467 | −2.142 | −0.199 | −5.023 | 0.139 | −1.358 | ||||
鄂 | 0.773 | 1.294 | 1.871 | 0.534 | 1.563 | 0.640 | 1.937 | 0.516 | 19.710 | 0.051 | 5.171 | 0.607 | ||||
湘 | 0.901 | 1.110 | 1.907 | 0.525 | 3.000 | 0.333 | −1.240 | −0.806 | −0.493 | −2.028 | 0.815 | −0.173 | ||||
粤 | 1.018 | 0.982 | −0.243 | −4.108 | 3.626 | 0.276 | −1.075 | −0.931 | −0.916 | −1.092 | 0.482 | −0.975 | ||||
桂 | 0.892 | 1.122 | 3.540 | 0.283 | 3.708 | 0.270 | 10.046 | 0.100 | 3.574 | 0.280 | 4.352 | 0.411 | ||||
琼 | 1.089 | 0.918 | −3.215 | −0.311 | 4.232 | 0.236 | 2.642 | 0.378 | −7.248 | −0.138 | −0.500 | 0.217 | ||||
渝 | 0.776 | 1.288 | −0.006 | −155.237 | −57.021 | −0.018 | 2.113 | 0.473 | 13.260 | 0.075 | −8.176 | −30.683 | ||||
川 | 0.540 | 1.852 | −0.200 | −5.002 | 4.863 | 0.206 | 0.255 | 3.928 | −2.478 | −0.404 | 0.596 | 0.116 | ||||
贵 | 0.854 | 1.171 | −0.273 | −3.665 | 0.447 | 2.239 | 0.455 | 2.197 | 4.606 | 0.217 | 1.218 | 0.432 | ||||
云 | 0.930 | 1.075 | 0.214 | 4.667 | 1.340 | 0.746 | −0.229 | −4.360 | 12.944 | 0.077 | 3.040 | 0.441 | ||||
陕 | 0.578 | 1.730 | −22.502 | −0.044 | −0.036 | −27.748 | 2.482 | 0.403 | 0.650 | 1.539 | −3.766 | −4.824 | ||||
甘 | 1.155 | 0.866 | −0.564 | −1.773 | 0.759 | 1.317 | 0.866 | 1.155 | −0.837 | −1.195 | 0.276 | 0.074 | ||||
青 | 1.085 | 0.922 | 4.929 | 0.203 | 2.162 | 0.462 | −1.080 | −0.926 | 0.360 | 2.780 | 1.491 | 0.688 | ||||
宁 | 1.019 | 0.982 | 0.243 | 4.121 | 0.023 | 42.912 | 1.065 | 0.939 | 5.407 | 0.185 | 1.551 | 9.828 | ||||
新 | 0.938 | 1.066 | 0.329 | 3.040 | 0.789 | 1.268 | −0.435 | −2.297 | 0.170 | 5.888 | 0.358 | 1.793 |
共生单元 | 地区 | 年份 | 均值 | ||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2017 | 2018 | 2019 | 2020 | 2021 | |||||||||||||
αab | αba | αab | αba | αab | αba | αab | αba | αab | αba | αab | αba | ||||||
能源禀赋 优势区域 | 蒙 | 1.005 | 0.995 | −0.115 | −8.660 | −1.338 | −0.747 | −1.490 | −0.671 | 1.638 | 0.610 | −0.060 | −1.695 | ||||
近似正向对称 互惠共生关系 | 反向非对称 共生关系 | 反向非对称 共生关系 | 反向非对称 共生关系 | 正向非对称互惠共生关系 | 反向非对称 共生关系 | ||||||||||||
晋 | 1.252 | 0.799 | −4.147 | −0.241 | 0.485 | 2.060 | −2.274 | −0.440 | −1.000 | −1.000 | −1.137 | 0.236 | |||||
正向非对称互惠共生关系 | 反向非对称 共生关系 | 正向非对称互惠 共生关系 | 反向非对称 共生关系 | 反向对称 共生关系 | 寄生关系 | ||||||||||||
陕 | 0.578 | 1.730 | −22.502 | −0.044 | −0.036 | −27.748 | 2.482 | 0.403 | 0.650 | 1.539 | −3.766 | −4.824 | |||||
正向非对称互惠共生关系 | 近似反向偏利 共生关系 | 近似反向偏利 共生关系 | 正向非对称互惠 共生关系 | 正向非对称互惠共生关系 | 反向非对称 共生关系 | ||||||||||||
新 | 0.938 | 1.066 | 0.329 | 3.040 | 0.789 | 1.268 | −0.435 | −2.297 | 0.170 | 5.888 | 0.358 | 1.793 | |||||
正向非对称互惠共生关系 | 正向非对称互惠 共生关系 | 正向非对称互惠 共生关系 | 反向非对称 共生关系 | 正向非对称互惠共生关系 | 正向非对称互惠 共生关系 | ||||||||||||
宁 | 1.019 | 0.982 | 0.243 | 4.121 | 0.023 | 42.912 | 1.065 | 0.939 | 5.407 | 0.185 | 1.551 | 9.828 | |||||
近似正向对称互惠共生关系 | 正向非对称互惠 共生关系 | 近似正向偏利 共生关系 | 正向非对称互惠 共生关系 | 正向非对称互惠共生关系 | 正向非对称互惠 共生关系 |
Table 5 Symbiotic patterns in regions with superior energy endowments, 2017?2021
共生单元 | 地区 | 年份 | 均值 | ||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2017 | 2018 | 2019 | 2020 | 2021 | |||||||||||||
αab | αba | αab | αba | αab | αba | αab | αba | αab | αba | αab | αba | ||||||
能源禀赋 优势区域 | 蒙 | 1.005 | 0.995 | −0.115 | −8.660 | −1.338 | −0.747 | −1.490 | −0.671 | 1.638 | 0.610 | −0.060 | −1.695 | ||||
近似正向对称 互惠共生关系 | 反向非对称 共生关系 | 反向非对称 共生关系 | 反向非对称 共生关系 | 正向非对称互惠共生关系 | 反向非对称 共生关系 | ||||||||||||
晋 | 1.252 | 0.799 | −4.147 | −0.241 | 0.485 | 2.060 | −2.274 | −0.440 | −1.000 | −1.000 | −1.137 | 0.236 | |||||
正向非对称互惠共生关系 | 反向非对称 共生关系 | 正向非对称互惠 共生关系 | 反向非对称 共生关系 | 反向对称 共生关系 | 寄生关系 | ||||||||||||
陕 | 0.578 | 1.730 | −22.502 | −0.044 | −0.036 | −27.748 | 2.482 | 0.403 | 0.650 | 1.539 | −3.766 | −4.824 | |||||
正向非对称互惠共生关系 | 近似反向偏利 共生关系 | 近似反向偏利 共生关系 | 正向非对称互惠 共生关系 | 正向非对称互惠共生关系 | 反向非对称 共生关系 | ||||||||||||
新 | 0.938 | 1.066 | 0.329 | 3.040 | 0.789 | 1.268 | −0.435 | −2.297 | 0.170 | 5.888 | 0.358 | 1.793 | |||||
正向非对称互惠共生关系 | 正向非对称互惠 共生关系 | 正向非对称互惠 共生关系 | 反向非对称 共生关系 | 正向非对称互惠共生关系 | 正向非对称互惠 共生关系 | ||||||||||||
宁 | 1.019 | 0.982 | 0.243 | 4.121 | 0.023 | 42.912 | 1.065 | 0.939 | 5.407 | 0.185 | 1.551 | 9.828 | |||||
近似正向对称互惠共生关系 | 正向非对称互惠 共生关系 | 近似正向偏利 共生关系 | 正向非对称互惠 共生关系 | 正向非对称互惠共生关系 | 正向非对称互惠 共生关系 |
共生单元 | 代表地区 | 年份 | 均值 | ||||
---|---|---|---|---|---|---|---|
2017 | 2018 | 2019 | 2020 | 2021 | |||
θab | θab | θab | θab | θab | θab | ||
能源禀赋 优势区域 | 内蒙古 | 0.502 | 0.013 | 0.642 | 0.689 | 0.729 | 0.515 |
山西 | 0.611 | 0.945 | 0.191 | 0.838 | 0.500 | 0.617 | |
陕西 | 0.250 | 0.998 | 0.001 | 0.860 | 0.297 | 0.481 | |
新疆 | 0.468 | 0.098 | 0.384 | 0.159 | 0.028 | 0.227 | |
宁夏 | 0.509 | 0.056 | 0.001 | 0.532 | 0.967 | 0.413 |
Table 6 Coefficients of coefficients for regions with superior energy endowments, 2017?2021
共生单元 | 代表地区 | 年份 | 均值 | ||||
---|---|---|---|---|---|---|---|
2017 | 2018 | 2019 | 2020 | 2021 | |||
θab | θab | θab | θab | θab | θab | ||
能源禀赋 优势区域 | 内蒙古 | 0.502 | 0.013 | 0.642 | 0.689 | 0.729 | 0.515 |
山西 | 0.611 | 0.945 | 0.191 | 0.838 | 0.500 | 0.617 | |
陕西 | 0.250 | 0.998 | 0.001 | 0.860 | 0.297 | 0.481 | |
新疆 | 0.468 | 0.098 | 0.384 | 0.159 | 0.028 | 0.227 | |
宁夏 | 0.509 | 0.056 | 0.001 | 0.532 | 0.967 | 0.413 |
能源禀赋 优势区域 | 各年主要影响因子 (指标) | 前三影响因子(维度) |
---|---|---|
内蒙古 | 人均能源生产量,能源自给率,工业污染治理投资总额,新能源发电比例(2021),森林覆盖率(2021) | 可获得性, 环境治理, 结构稳定性 |
山西 | 人均能源生产量,工业污染治理投资总额,新能源发电比例 | |
陕西 | 人均能源生产量,工业污染治理投资总额,新能源发电比例,省域能源产量占中国总产量比例(2020-2021) | |
新疆 | 人均能源生产量,省域能源产量占中国总产量比例,能源自给率,工业污染治理投资总额(2021) | |
宁夏 | 人均能源生产量,省域能源产量占中国总产量比例,能源自给率 |
Table 7 Main factors influencing the symbiotic relationship between energy supply security and ecological security in regions with energy endowment advantages
能源禀赋 优势区域 | 各年主要影响因子 (指标) | 前三影响因子(维度) |
---|---|---|
内蒙古 | 人均能源生产量,能源自给率,工业污染治理投资总额,新能源发电比例(2021),森林覆盖率(2021) | 可获得性, 环境治理, 结构稳定性 |
山西 | 人均能源生产量,工业污染治理投资总额,新能源发电比例 | |
陕西 | 人均能源生产量,工业污染治理投资总额,新能源发电比例,省域能源产量占中国总产量比例(2020-2021) | |
新疆 | 人均能源生产量,省域能源产量占中国总产量比例,能源自给率,工业污染治理投资总额(2021) | |
宁夏 | 人均能源生产量,省域能源产量占中国总产量比例,能源自给率 |
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