

World Regional Studies ›› 2026, Vol. 35 ›› Issue (5): 131-143.DOI: 10.3969/j.issn.1004-9479.2026.05.20240850
Linfang CHEN1(
), Huanyu SUN2, Shenghui ZHOU3, Shixing JIAO4, Shuang WANG3, Xiao ZHAO3, Jianmei CHENG1,5(
)
Received:2024-10-05
Revised:2025-05-24
Online:2026-05-15
Published:2026-05-27
Contact:
Jianmei CHENG
陈林芳1(
), 孙寰宇2, 周生辉3, 焦士兴4, 王双3, 赵晓3, 成建梅1,5(
)
通讯作者:
成建梅
作者简介:陈林芳(1999—),女,博士研究生,研究方向为水资源可持续利用,E-mail: clf990106@163.com。
基金资助:Linfang CHEN, Huanyu SUN, Shenghui ZHOU, Shixing JIAO, Shuang WANG, Xiao ZHAO, Jianmei CHENG. Assessing the influence of water transfer from agriculture to non-agriculture on the coupled coordination of water, energy, and carbon systems: A case study of major agricultural provinces in China[J]. World Regional Studies, 2026, 35(5): 131-143.
陈林芳, 孙寰宇, 周生辉, 焦士兴, 王双, 赵晓, 成建梅. 水资源“农转非”影响下的水-能-碳耦合协调分析——以中国农业大省为例[J]. 世界地理研究, 2026, 35(5): 131-143.
| 子系统 | 准则层 | 指标层 | 参考文献 | 计算方法 | 属性 |
|---|---|---|---|---|---|
| 水资源 | 总量 | 降水量 | 秦腾等[ | 统计数据直接获取 | 正 |
| 水资源总量 | 统计数据直接获取 | 正 | |||
| 用水量 | 统计数据直接获取 | 正 | |||
| 人均水资源量 | 统计数据直接获取 | 负 | |||
| 人均用水量 | 统计数据直接获取 | 负 | |||
| 结构 | 农业用水占比 | 秦腾等[ | 农业用水/总用水量 | 负 | |
| 工业用水占比 | 工业用水/总用水量 | 负 | |||
| 生活用水占比 | 生活用水/总用水量 | 正 | |||
| 生态用水占比 | 生态用水/总用水量 | 正 | |||
| 效益 | 废水排放量 | 李成宇等[ | 统计数据直接获取 | 负 | |
| 万元GDP用水量 | 总用水量/地区GDP | 负 | |||
| 能源 | 总量 | 能源消费量 | 李成宇等[ | 统计数据直接获取 | 负 |
| 一次能源生产量 | 统计数据直接获取 | 正 | |||
| 人均能源消费量 | 能源消费量/总人口 | 负 | |||
| 能源工业固定资产投资 | 统计数据直接获取 | 正 | |||
| 结构 | 第一产业能源消费占比 | 张宁等[ | 第一产业能源消费量/能源消费总量 | 负 | |
| 第二产业能源消费占比 | 第二产业能源消费量/能源消费总量 | 负 | |||
| 第三产业能源消费占比 | 第三产业能源消费量/能源消费总量 | 正 | |||
| 效益 | 万元GDP能耗 | 秦腾等[ | 统计数据直接获取 | 负 | |
| 能源自给率 | 李成宇等[ | 能源生产量/能源消费量 | 正 | ||
| 二氧化硫排放量 | 王勇等[ | 统计数据直接获取 | 负 | ||
| 碳排放 | 总量 | 隐含碳排放量 | 盖美等[ | 隐含碳排放模型 | 负 |
人均隐含碳排放量 隐含碳排放密度 | 隐含碳排放量/总人口 隐含碳排放量/区域面积 | 负 负 | |||
| 结构 | 第一产业终端隐含碳排放占比 | / | 第一产业终端隐含碳排放/三大产业终端隐含碳排放总量 | 负 | |
| 第二产业终端隐含碳排放占比 | / | 第二产业终端隐含碳排放/三大产业终端隐含碳排放总量 | 负 | ||
| 第三产业终端隐含碳排放占比 | / | 第三产业终端隐含碳排放/三大产业终端隐含碳排放总量 | 正 | ||
| 效益 | 隐含碳排放强度 | 盖美等[ | 隐含碳排放量/地区GDP | 负 | |
| 隐含碳生产力 | 地区GDP/隐含碳排放量 | 正 |
Tab. 1 Assessment index system for water resources, energy, and carbon emission systems
| 子系统 | 准则层 | 指标层 | 参考文献 | 计算方法 | 属性 |
|---|---|---|---|---|---|
| 水资源 | 总量 | 降水量 | 秦腾等[ | 统计数据直接获取 | 正 |
| 水资源总量 | 统计数据直接获取 | 正 | |||
| 用水量 | 统计数据直接获取 | 正 | |||
| 人均水资源量 | 统计数据直接获取 | 负 | |||
| 人均用水量 | 统计数据直接获取 | 负 | |||
| 结构 | 农业用水占比 | 秦腾等[ | 农业用水/总用水量 | 负 | |
| 工业用水占比 | 工业用水/总用水量 | 负 | |||
| 生活用水占比 | 生活用水/总用水量 | 正 | |||
| 生态用水占比 | 生态用水/总用水量 | 正 | |||
| 效益 | 废水排放量 | 李成宇等[ | 统计数据直接获取 | 负 | |
| 万元GDP用水量 | 总用水量/地区GDP | 负 | |||
| 能源 | 总量 | 能源消费量 | 李成宇等[ | 统计数据直接获取 | 负 |
| 一次能源生产量 | 统计数据直接获取 | 正 | |||
| 人均能源消费量 | 能源消费量/总人口 | 负 | |||
| 能源工业固定资产投资 | 统计数据直接获取 | 正 | |||
| 结构 | 第一产业能源消费占比 | 张宁等[ | 第一产业能源消费量/能源消费总量 | 负 | |
| 第二产业能源消费占比 | 第二产业能源消费量/能源消费总量 | 负 | |||
| 第三产业能源消费占比 | 第三产业能源消费量/能源消费总量 | 正 | |||
| 效益 | 万元GDP能耗 | 秦腾等[ | 统计数据直接获取 | 负 | |
| 能源自给率 | 李成宇等[ | 能源生产量/能源消费量 | 正 | ||
| 二氧化硫排放量 | 王勇等[ | 统计数据直接获取 | 负 | ||
| 碳排放 | 总量 | 隐含碳排放量 | 盖美等[ | 隐含碳排放模型 | 负 |
人均隐含碳排放量 隐含碳排放密度 | 隐含碳排放量/总人口 隐含碳排放量/区域面积 | 负 负 | |||
| 结构 | 第一产业终端隐含碳排放占比 | / | 第一产业终端隐含碳排放/三大产业终端隐含碳排放总量 | 负 | |
| 第二产业终端隐含碳排放占比 | / | 第二产业终端隐含碳排放/三大产业终端隐含碳排放总量 | 负 | ||
| 第三产业终端隐含碳排放占比 | / | 第三产业终端隐含碳排放/三大产业终端隐含碳排放总量 | 正 | ||
| 效益 | 隐含碳排放强度 | 盖美等[ | 隐含碳排放量/地区GDP | 负 | |
| 隐含碳生产力 | 地区GDP/隐含碳排放量 | 正 |
| 耦合协调度 | 类别 | 耦合协调度 | 类别 |
|---|---|---|---|
| (0.0,0.1) | 极度失调 | [0.5,0.6) | 勉强协调 |
| [0.1,0.2) | 严重失调 | [0.6,0.7) | 初级协调 |
| [0.2,0.3) | 中度失调 | [0.7,0.8) | 中级协调 |
| [0.3,0.4) | 轻度失调 | [0.8,0.9) | 良好协调 |
| [0.4,0.5) | 濒临失调 | [0.9,1.0] | 优质协调 |
Tab.2 Classification of coupling coordination degree
| 耦合协调度 | 类别 | 耦合协调度 | 类别 |
|---|---|---|---|
| (0.0,0.1) | 极度失调 | [0.5,0.6) | 勉强协调 |
| [0.1,0.2) | 严重失调 | [0.6,0.7) | 初级协调 |
| [0.2,0.3) | 中度失调 | [0.7,0.8) | 中级协调 |
| [0.3,0.4) | 轻度失调 | [0.8,0.9) | 良好协调 |
| [0.4,0.5) | 濒临失调 | [0.9,1.0] | 优质协调 |
| 省份 | 2005 | 2010 | 2015 | 2020 | 年均值 |
|---|---|---|---|---|---|
| 河南 | -0.023 | -0.030 | -0.034 | -0.063 | -0.033 |
| 山东 | 0.073 | 0.059 | 0.041 | 0.023 | 0.049 |
| 四川 | -0.049 | -0.057 | -0.037 | -0.014 | -0.046 |
| 江苏 | -0.084 | 0.006 | -0.094 | -0.104 | -0.06 |
| 河北 | 0.086 | 0.080 | 0.062 | 0.024 | 0.067 |
| 湖南 | 0.010 | -0.025 | -0.032 | -0.001 | -0.018 |
| 黑龙江 | 0.035 | 0.051 | 0.055 | 0.052 | 0.050 |
| 广东 | -0.134 | -0.117 | -0.084 | -0.056 | -0.106 |
| 湖北 | -0.032 | -0.158 | -0.066 | -0.113 | -0.084 |
| 广西 | 0.046 | 0.010 | 0.002 | 0.024 | 0.016 |
Tab.3 The difference in the coupling coordination degree of water-energy-carbon-water transfer from agriculture to non-agriculture and water-energy-carbon
| 省份 | 2005 | 2010 | 2015 | 2020 | 年均值 |
|---|---|---|---|---|---|
| 河南 | -0.023 | -0.030 | -0.034 | -0.063 | -0.033 |
| 山东 | 0.073 | 0.059 | 0.041 | 0.023 | 0.049 |
| 四川 | -0.049 | -0.057 | -0.037 | -0.014 | -0.046 |
| 江苏 | -0.084 | 0.006 | -0.094 | -0.104 | -0.06 |
| 河北 | 0.086 | 0.080 | 0.062 | 0.024 | 0.067 |
| 湖南 | 0.010 | -0.025 | -0.032 | -0.001 | -0.018 |
| 黑龙江 | 0.035 | 0.051 | 0.055 | 0.052 | 0.050 |
| 广东 | -0.134 | -0.117 | -0.084 | -0.056 | -0.106 |
| 湖北 | -0.032 | -0.158 | -0.066 | -0.113 | -0.084 |
| 广西 | 0.046 | 0.010 | 0.002 | 0.024 | 0.016 |
Fig.3 MK trend chart of the difference between the coupling coordination degree of water-energy-carbon-water transfer from agriculture to non-agriculture and water-energy-carbon
| 系统 | 耦合协调度 | 河南 | 山东 | 四川 | 江苏 | 河北 | 湖南 | 黑龙江 | 广东 | 湖北 | 广西 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| N-W | 演变趋势 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | |
| UF | 2008 | -0.68 | -1.36 | -1.36 | 0.00 | -1.36 | -1.36 | -1.36 | 0.68 | -1.36 | 0.00 | |
| 2014 | -3.13 | -2.77 | -0.27 | 0.45 | -1.88 | -3.13 | 1.16 | 1.34 | -2.24 | -0.27 | ||
| 2020 | -4.14 | -4.68 | 1.35 | -2.70 | -3.87 | -2.34 | 0.90 | 3.24 | -1.44 | -0.81 | ||
| 年均值 | 0.69 | 0.77 | 0.75 | 0.49 | 0.78 | 0.74 | 0.78 | 0.55 | 0.59 | 0.82 | ||
| N-E | 演变趋势 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | |
| UF | 2008 | 0.68 | -0.68 | 0.00 | 0.00 | 0.68 | 0.68 | 1.36 | 0.68 | -1.36 | -1.36 | |
| 2014 | -2.24 | -2.95 | 0.98 | 0.63 | -2.59 | -2.59 | 0.81 | -0.09 | -2.42 | -1.70 | ||
| 2020 | -3.51 | -4.59 | 3.69 | -1.08 | -4.14 | -2.07 | -1.17 | 2.88 | -0.99 | -2.16 | ||
| 年均值 | 0.69 | 0.76 | 0.75 | 0.48 | 0.72 | 0.71 | 0.90 | 0.55 | 0.58 | 0.78 | ||
| N-C | 演变趋势 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | |
| UF | 2008 | 0.00 | -0.68 | -1.36 | 0.00 | 0.00 | 2.04 | 2.04 | -0.68 | -0.68 | -2.04 | |
| 2014 | -2.24 | -3.31 | -1.34 | 0.27 | -2.59 | -0.81 | 0.45 | 1.70 | -2.24 | -3.31 | ||
| 2020 | -3.78 | -4.41 | 1.35 | -1.71 | -4.32 | -0.90 | -2.34 | 3.87 | -1.08 | -2.97 | ||
| 年均值 | 0.68 | 0.69 | 0.75 | 0.52 | 0.66 | 0.77 | 0.96 | 0.50 | 0.62 | 0.87 | ||
Tab.4 UF values and annual average values of coupling coordination degree between water transfer from agriculture to non-agriculture and each individual system(water, energy and carbon)
| 系统 | 耦合协调度 | 河南 | 山东 | 四川 | 江苏 | 河北 | 湖南 | 黑龙江 | 广东 | 湖北 | 广西 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| N-W | 演变趋势 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | |
| UF | 2008 | -0.68 | -1.36 | -1.36 | 0.00 | -1.36 | -1.36 | -1.36 | 0.68 | -1.36 | 0.00 | |
| 2014 | -3.13 | -2.77 | -0.27 | 0.45 | -1.88 | -3.13 | 1.16 | 1.34 | -2.24 | -0.27 | ||
| 2020 | -4.14 | -4.68 | 1.35 | -2.70 | -3.87 | -2.34 | 0.90 | 3.24 | -1.44 | -0.81 | ||
| 年均值 | 0.69 | 0.77 | 0.75 | 0.49 | 0.78 | 0.74 | 0.78 | 0.55 | 0.59 | 0.82 | ||
| N-E | 演变趋势 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | |
| UF | 2008 | 0.68 | -0.68 | 0.00 | 0.00 | 0.68 | 0.68 | 1.36 | 0.68 | -1.36 | -1.36 | |
| 2014 | -2.24 | -2.95 | 0.98 | 0.63 | -2.59 | -2.59 | 0.81 | -0.09 | -2.42 | -1.70 | ||
| 2020 | -3.51 | -4.59 | 3.69 | -1.08 | -4.14 | -2.07 | -1.17 | 2.88 | -0.99 | -2.16 | ||
| 年均值 | 0.69 | 0.76 | 0.75 | 0.48 | 0.72 | 0.71 | 0.90 | 0.55 | 0.58 | 0.78 | ||
| N-C | 演变趋势 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | |
| UF | 2008 | 0.00 | -0.68 | -1.36 | 0.00 | 0.00 | 2.04 | 2.04 | -0.68 | -0.68 | -2.04 | |
| 2014 | -2.24 | -3.31 | -1.34 | 0.27 | -2.59 | -0.81 | 0.45 | 1.70 | -2.24 | -3.31 | ||
| 2020 | -3.78 | -4.41 | 1.35 | -1.71 | -4.32 | -0.90 | -2.34 | 3.87 | -1.08 | -2.97 | ||
| 年均值 | 0.68 | 0.69 | 0.75 | 0.52 | 0.66 | 0.77 | 0.96 | 0.50 | 0.62 | 0.87 | ||
| [1] | 黄红光, 戎丽丽, 胡继连. 水资源"农转非"的市场调节研究. 中国农业资源与区划, 2012, 33(02): 45-50. |
| HUANG H, RONG L, HU J. Study on market regulation of agricultural water resource urbanization. Chinese Journal of Agricultural Resources and Regional Planning, 2012, 33(02): 45-50. | |
| [2] | XU B, BALEZENTIS T, STREIMIKIENE D, et al. Enhancing agricultural environmental performance: Exploring the interplay of agricultural productive services, resource allocation, and marketization factors. Journal of Cleaner Production, 2024, 439: 140843. |
| [3] | 孙九林, 董锁成, 李泽红, 等.新时代我国自然资源综合科学考察研究的挑战与展望.自然资源学报, 2020, 35(08):1789-1801. |
| SUN J, DONG S, LI Z, et al. Challenges and prospects of natural resources integrated surveys and researches in the New Era of China. Journal of Natural Resources, 2020, 35(08):1789-1801. | |
| [4] | 焦士兴, 王安周, 李玉靖, 等. 河南省水资源"农转非"时空演变及驱动力.水资源保护, 2022, 38(03): 109-116. |
| JIAO S, WANG A, LI Y, et al. Spatio-temporal evolution of water transfer from agriculture to non-agriculture and its driving factors in Henan Province. Water Resources Protection, 2022, 38(03): 109-116. | |
| [5] | GUO N, SHI C, YAN M, et al. Modeling agricultural water-saving compensation policy: An ABM approach and application. Journal of Cleaner Production, 2022, 344: 131035. |
| [6] | VENKATACHALAM L, BALOONI K. Water transfer from irrigation tanks for urban use: Can payment for ecosystem services produce efficient outcomes? //Politics and Policies for Water Resources Management in India. Routledge, 2020. |
| [7] | SIDDIQI A, ANADON L. The water-energy nexus in Middle East and North Africa. Energy Policy, 2011, 39(8): 4529-4540. |
| [8] | THIEDE S, SCHONEMANN M, KURLE D, et al. Multi-level simulation in manufacturing companies: The water-energy nexus case. Journal of Cleaner Production, 2016, 139: 1118-1127. |
| [9] | DANIS H. Moving toward sustainable development: The relationship between water productivity, natural resource rent, international trade, and carbon dioxide emissions. Sustainable Development, 2020, 28(4): 540-549. |
| [10] | BARNES M, FARELLA M, SCOTT R, et al. Improved dryland carbon flux predictions with explicit consideration of water-carbon coupling. Communications Earth & Environment, 2021, 2(1): 248. |
| [11] | ZHAO F, WU Y, YAO Y, et al. Predicting the climate change impacts on water-carbon coupling cycles for a loess hilly-gully watershed. Journal of Hydrology, 2020, 581: 124388. |
| [12] | LU Y, GAO Y, DUNGAIT J,et al. Understanding how inland lake system environmental gradients on the Qinghai-Tibet Plateau impact the geographical patterns of carbon and water sources or sink. Journal of Hydrology, 2022, 604: 127219. |
| [13] | 陶玉国, 张红霞. 江苏旅游能耗和碳排放估算研究. 南京社会科学, 2011(08): 151-156. |
| TAO Y, ZHANG H. A rough estimation of energy consumption and CO2 emission in tourism sector of Jiangsu Province. Nanjing Journal of Social Sciences, 2011(08): 151-156. | |
| [14] | 周新. 国际贸易中的隐含碳排放核算及贸易调整后的国家温室气体排放. 管理评论, 2010, 22(06): 17-24. |
| ZHOU X. Emissions embodied in international trade and trade adjustment to national GHG inventory. Management Review, 2010, 22(06): 17-24. | |
| [15] | XIE S, ZHANG J, SHI D, et al. Multi-energy optimization under the water-energy-carbon nexus in a typical iron and steel plant. Applied Thermal Engineering, 2023, 224: 120086. |
| [16] | CHANG H, BOISVERT R. Accounting for the market and non-market values of multifunctional outputs in evaluating water transfers to non-agricultural uses: Empirical evidence from Taiwanese rice production. Water Policy, 2010, 12(4): 528-542. |
| [17] | 李晨, 李昊玉, 孔海峥, 等.中国渔业生产系统隐含碳排放结构特征及驱动因素分解.资源科学, 2021, 43(06):1166-1177. |
| LI C, LI H, KONG H, et al. Structural characteristics and driving factors of embodied carbon emissions from fishery production system in China. Resources Science, 2021, 43(06): 1166-1177. | |
| [18] | 张浩斌, 王婉, 宋妤婧, 等. 基于改进遥感生态指数的干旱内流区生态质量评价—以阴山北麓塔布河流域为例[J]. 生态学报, 2024, 44(02): 523-543. |
| ZHANG H, WANG W, SONG Y, et al. cological index evaluation of arid inflow area based on the modified remote sensing ecological index: a case study of Tabu River Basin at the northern foot of the Yin Mountains. Acta Ecologica Sinica, 2024, 44(02): 523-543. | |
| [19] | 李成宇, 张士强. 中国省际水-能源-粮食耦合协调度及影响因素研究. 中国人口·资源与环境, 2020, 30(1): 120-128. |
| LI C, ZHANG S. Chinese provincial water-energy-food coupling coordination degree and influencing factors research. China Population Resources and Environment, 2020, 30(1): 120-128. | |
| [20] | 盖美, 张福祥. 辽宁省区域碳排放—经济发展—环境保护耦合协调分析. 地理科学, 2018, 38(5): 764-772. |
| GAI M, ZHANG F. Regional carbon emissions, economic development and environmental protection coupling in Liaoning Province. Scientia Geographica Sinica, 2018, 38(5): 764-772. | |
| [21] | 秦腾, 佟金萍. 长江经济带水-能源-粮食耦合效率的时空演化及影响因素. 资源科学, 2021, 43(10): 2068-2080. |
| QIN T, TONG J. Spatiotemporal change of water-energy-food coupling efficiency and influencing factors in the Yangtze River Economic Belt. Resources Science, 2021, 43(10): 2068-2080. | |
| [22] | 王勇, 孙瑞欣. 土地利用变化对区域水-能源-粮食系统耦合协调度的影响—以京津冀城市群为研究对象. 自然资源学报, 2022, 37(3): 582-599. |
| WANG Y, SUN R. Impact of land use change on coupling coordination degree of regional water-energy-food system: A case study of Beijing-Tianjin-Hebei Urban Agglomeration. Journal of Natural Resources, 2022, 37(3): 582-599. | |
| [23] | 张宁, 杨肖, 陈彤. 中国西部地区水-能源-粮食系统耦合协调度的时空特征. 中国环境科学, 2022, 42(09): 4444-4456. |
| ZHANG N, YANG X, CHEN T. Research on the coupling coordination of water-energy-food system and its temporal and spatial characteristics. China Environmental Science, 2022, 42(09): 4444-4456. | |
| [24] | 胡美娟, 李在军, 丁正山, 等. 中国水资源"农转非"时空异质性及形成机制. 地理研究, 2019, 38(6): 1542-1554. |
| HU M, LI Z, DING Z, et al. The spatio-temporal heterogeneity and driving mechanism of China's water transfer from agriculture to non-agriculture. Geographical Research, 2019, 38(6): 1542-1554. | |
| [25] | 王学渊, 韩洪云, 邓启明. 水资源"农转非"对农村发展的影响——对河北省兴隆县转轴沟村的案例研究. 中国农业大学学报(社会科学版), 2007(01): 130-137. |
| WANG X, HAN H, DENG Q. Diverging water from countryside to urban use and its impact on rural development——A case study of Zhuanzhougou Village, Xinglong County, Hebei Province in China. Journal of China Agricultural University(Social Sciences), 2007(01): 130-137. | |
| [26] | 姜东晖, 胡继连. 对水资源"农转非"现象的经济学分析. 中国农业资源与区划, 2008(03): 21-26. |
| JIANG D, HU J. Economiccal analysis on phenomenal of water resources "agriculture transferring to non-agriculture" . Chinese Journal of Agricultural Resources and Regional Planning, 2008(03): 21-26. | |
| [27] | PEREIRA L S. Water, agriculture and food: Challenges and issues. Water Resources Management, 2017, 31(10): 2985-2999. |
| [28] | ACKERMAN F, FISHER J. Is there a water-energy nexus in electricity generation? Long-term scenarios for the western United States. Energy Policy, 2013, 59: 235-241. |
| [29] | 戴小文, 漆雁斌, 唐宏. 1990-2010年中国农业隐含碳排放及其驱动因素研究. 资源科学, 2015, 37(08): 1668-1676. |
| DAI X, QI Y, TANG H. Embodied CO2 emission calculation and influence factors decomposition in China's agriculture sector. Resources Science, 2015, 37(08): 1668-1676. | |
| [30] | 陈星星. 集聚还是分散:中国行业能源消费存在空间异质性吗. 山西财经大学学报, 2018, 40(09): 48-61. |
| CHEN X. Agglomeration or decentralization: Is there spatial heterogeneity in China's industrial energy consumption. Journal of Shanxi Finance and Economics University, 2018, 40(09): 48-61. | |
| [31] | 焦士兴, 陈林芳, 王安周, 等. 河南省农业水资源脆弱性时空特征及障碍度诊断. 农业现代化研究, 2020, 41(02): 312-320. |
| JIAO S, CHEN L, WANG A, et al. The spatial-temporal patterns of vulnerability analysis and the obstacle diagnosis of agricultural water resource in Henan Province. Research of Agricultural Modernization, 2020, 41(02): 312-320. | |
| [32] | 徐辉, 王亿文, 张宗艳, 等. 黄河流域水-能源-粮食耦合机理及协调发展时空演变. 资源科学, 2021, 43(12): 2526-2537. |
| XU H, WANG Y, ZHANG Z, et al. Coupling mechanism of water-energy-food and spatiotemporal evolution of coordinated development in the Yellow River Basin. Resources Science, 2021, 43(12): 2526-2537. |
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