

World Regional Studies ›› 2026, Vol. 35 ›› Issue (3): 37-50.DOI: 10.3969/j.issn.1004-9479.2026.03.20240981
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Jie LONG1(
), Hanwei LIANG1,2(
), Shuang CHEN1,2, Liang DONG3
Received:2024-11-10
Revised:2025-03-25
Online:2026-03-15
Published:2026-03-30
Contact:
Hanwei LIANG
通讯作者:
梁涵玮
作者简介:龙婕(2001—),女,硕士研究生,研究方向为资源利用与可持续发展,E-mail:long.jie@nuist.edu.cn。
基金资助:Jie LONG, Hanwei LIANG, Shuang CHEN, Liang DONG. Analysis of resource consumption characteristics and driving factors in African countries from the perspective of club convergence[J]. World Regional Studies, 2026, 35(3): 37-50.
龙婕, 梁涵玮, 陈爽, 董亮. 俱乐部收敛视角下非洲国家资源消费的特征与驱动因素分析[J]. 世界地理研究, 2026, 35(3): 37-50.
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URL: https://sjdlyj.ecnu.edu.cn/EN/10.3969/j.issn.1004-9479.2026.03.20240981
| 变量(符号) | 定义 | 单位 |
|---|---|---|
| 资源消费量(M) | 国内物质消费 | 吨 |
| 人口规模(P) | 总人口 | 人 |
| 经济发展水平(A) | GDP/总人口 | 美元/人 |
| 技术水平(T) | 国内物质消费/GDP | 吨/美元 |
| 城市化水平(U) | 城镇人口/总人口 | % |
| 农业用地水平(AGR) | 农业用地/土地面积 | % |
| 工业产出水平(IVA) | 工业增加值 | 美元 |
Tab.1 Description of model variables
| 变量(符号) | 定义 | 单位 |
|---|---|---|
| 资源消费量(M) | 国内物质消费 | 吨 |
| 人口规模(P) | 总人口 | 人 |
| 经济发展水平(A) | GDP/总人口 | 美元/人 |
| 技术水平(T) | 国内物质消费/GDP | 吨/美元 |
| 城市化水平(U) | 城镇人口/总人口 | % |
| 农业用地水平(AGR) | 农业用地/土地面积 | % |
| 工业产出水平(IVA) | 工业增加值 | 美元 |
| 年份 | 资源消费总量/ Mt | 资源消费量年增速/ % | 人均资源消费量/ (吨/人) | 资源利用效率/(美元/吨) |
|---|---|---|---|---|
| 1990 | 3 168.49 | / | 4.97 | 437.83 |
| 1995 | 3 446.97 | 8.79 | 4.76 | 485.42 |
| 2000 | 3 924.55 | 13.86 | 4.79 | 591.91 |
| 2005 | 4 691.78 | 19.55 | 5.06 | 708.86 |
| 2010 | 5 485.35 | 16.91 | 5.20 | 853.67 |
| 2015 | 6 251.69 | 13.97 | 5.20 | 933.30 |
| 2020 | 7 249.34 | 15.96 | 5.33 | 939.49 |
| 2022 | 7 659.81 | 5.66 | 5.37 | 1 081.52 |
Tab.2 Resource consumption in Africa, 1990-2022
| 年份 | 资源消费总量/ Mt | 资源消费量年增速/ % | 人均资源消费量/ (吨/人) | 资源利用效率/(美元/吨) |
|---|---|---|---|---|
| 1990 | 3 168.49 | / | 4.97 | 437.83 |
| 1995 | 3 446.97 | 8.79 | 4.76 | 485.42 |
| 2000 | 3 924.55 | 13.86 | 4.79 | 591.91 |
| 2005 | 4 691.78 | 19.55 | 5.06 | 708.86 |
| 2010 | 5 485.35 | 16.91 | 5.20 | 853.67 |
| 2015 | 6 251.69 | 13.97 | 5.20 | 933.30 |
| 2020 | 7 249.34 | 15.96 | 5.33 | 939.49 |
| 2022 | 7 659.81 | 5.66 | 5.37 | 1 081.52 |
| 初始分类 | 成员数量 | 合并检验 | 最终分类 | 成员数量 |
|---|---|---|---|---|
俱乐部1 0.174(3.108) | 21 | 俱乐部1+俱乐部2 -0.167(-3.972*) | 俱乐部1 0.174(3.108) | 21 |
俱乐部2 0.206(3.351) | 11 | 俱乐部2+俱乐部3 0.142(3.083) | ||
俱乐部3 0.307(9.446) | 7 | 俱乐部3+俱乐部4 0.247(7.602) | 俱乐部2 0.066(1.639) | 20 |
俱乐部4 0.063(1.772) | 2 | 俱乐部4+俱乐部5 -0.052(-2.132*) | ||
俱乐部5 0.395(7.835) | 4 | 俱乐部5+俱乐部6 -0.048(-1.498) | 俱乐部3 -0.048(-1.498) | 6 |
俱乐部6 0.338(4.999) | 2 | 俱乐部6+发散组 -0.664(-148.795*) | ||
发散组 -0.744(-110.553) | 3 | 发散组 -0.744(-110.553) | 3 |
Tab.3 Club convergence results of resource consumption in Africa
| 初始分类 | 成员数量 | 合并检验 | 最终分类 | 成员数量 |
|---|---|---|---|---|
俱乐部1 0.174(3.108) | 21 | 俱乐部1+俱乐部2 -0.167(-3.972*) | 俱乐部1 0.174(3.108) | 21 |
俱乐部2 0.206(3.351) | 11 | 俱乐部2+俱乐部3 0.142(3.083) | ||
俱乐部3 0.307(9.446) | 7 | 俱乐部3+俱乐部4 0.247(7.602) | 俱乐部2 0.066(1.639) | 20 |
俱乐部4 0.063(1.772) | 2 | 俱乐部4+俱乐部5 -0.052(-2.132*) | ||
俱乐部5 0.395(7.835) | 4 | 俱乐部5+俱乐部6 -0.048(-1.498) | 俱乐部3 -0.048(-1.498) | 6 |
俱乐部6 0.338(4.999) | 2 | 俱乐部6+发散组 -0.664(-148.795*) | ||
发散组 -0.744(-110.553) | 3 | 发散组 -0.744(-110.553) | 3 |
| 俱乐部 | 国家 |
|---|---|
| 俱乐部1(21个) | 乍得、几内亚、刚果(金)、加纳、南非、喀麦隆、坦桑尼亚、埃及、安哥拉、尼日利亚、尼日尔、布基纳法索、摩洛哥、科特迪瓦、肯尼亚、苏丹、莱索托、赞比亚、阿尔及利亚、马拉维、马里 |
| 俱乐部2(20个) | 中非共和国、刚果(布)、利比亚、利比里亚、加蓬、博茨瓦纳、卢旺达、吉布提、塞内加尔、塞拉利昂、多哥、斯威士兰、毛里塔尼亚、津巴布韦、突尼斯、索马里、纳米比亚、贝宁、赤道几内亚、马达加斯加 |
| 俱乐部3(6个) | 佛得角、冈比亚、几内亚比绍、塞舌尔、毛里求斯、科摩罗 |
| 发散组(3个) | 乌干达、圣多美和普林西比、布隆迪 |
Tab.4 Countries included in the clubs
| 俱乐部 | 国家 |
|---|---|
| 俱乐部1(21个) | 乍得、几内亚、刚果(金)、加纳、南非、喀麦隆、坦桑尼亚、埃及、安哥拉、尼日利亚、尼日尔、布基纳法索、摩洛哥、科特迪瓦、肯尼亚、苏丹、莱索托、赞比亚、阿尔及利亚、马拉维、马里 |
| 俱乐部2(20个) | 中非共和国、刚果(布)、利比亚、利比里亚、加蓬、博茨瓦纳、卢旺达、吉布提、塞内加尔、塞拉利昂、多哥、斯威士兰、毛里塔尼亚、津巴布韦、突尼斯、索马里、纳米比亚、贝宁、赤道几内亚、马达加斯加 |
| 俱乐部3(6个) | 佛得角、冈比亚、几内亚比绍、塞舌尔、毛里求斯、科摩罗 |
| 发散组(3个) | 乌干达、圣多美和普林西比、布隆迪 |
| 变量 | 俱乐部1 | 俱乐部2 | 俱乐部3 |
|---|---|---|---|
| 常数 | 0 | 0.001 | 0 |
| lnP | 0.57*** (0.009) | 0.46*** (0.011) | 0.592*** (0.016) |
| lnA | 0.148*** (0.005) | 0.12*** (0.005) | 0.134*** (0.008) |
| lnT | -0.143*** (0.005) | -0.204*** (0.006) | -0.247*** (0.012) |
| lnU | -0.011*** (0.001) | -0.009*** (0.001) | 0.002 (0.004) |
| lnAGR | 0.002*** (0.001) | -0.012*** (0.001) | 0 (0.002) |
| lnIVA | 0.225*** (0.007) | 0.297*** (0.01) | 0.466*** (0.018) |
| R2 | 0.944 | 0.885 | 0.956 |
| F | 1 835.309 | 651.556 | 694.64 |
| Sig.(F) | 0 | 0 | 0 |
Tab.5 Ridge regression results of DMC driving factors for each club
| 变量 | 俱乐部1 | 俱乐部2 | 俱乐部3 |
|---|---|---|---|
| 常数 | 0 | 0.001 | 0 |
| lnP | 0.57*** (0.009) | 0.46*** (0.011) | 0.592*** (0.016) |
| lnA | 0.148*** (0.005) | 0.12*** (0.005) | 0.134*** (0.008) |
| lnT | -0.143*** (0.005) | -0.204*** (0.006) | -0.247*** (0.012) |
| lnU | -0.011*** (0.001) | -0.009*** (0.001) | 0.002 (0.004) |
| lnAGR | 0.002*** (0.001) | -0.012*** (0.001) | 0 (0.002) |
| lnIVA | 0.225*** (0.007) | 0.297*** (0.01) | 0.466*** (0.018) |
| R2 | 0.944 | 0.885 | 0.956 |
| F | 1 835.309 | 651.556 | 694.64 |
| Sig.(F) | 0 | 0 | 0 |
| [1] | ZEUFACK A G, CALDERON C, KAMBOU G, et al. Africa's Pulse: An analysis of issues shaping Africa's economic future-charting the road to recovery,World Banks, 2020. |
| [2] | Global Environment Outlook – GEO-6: Healthy planet, healthy people. UNEP, 2019. |
| [3] | FISCHER-KOWALSKI M, SWILLING M, VON WEIZSÄCKER E, et al. Decoupling natural resource use and environmental impacts from economic growth. UNEP, 2011. |
| [4] | HERTWICH E, VAN DER VOET E, TUKKER A. Global material flows and resource productivity. UNEP, 2016. |
| [5] | FAO.The State of Food Security and Nutrition in the World 2023: Urbanization, agrifood systems transformation and healthy diets across the rural–urban continuum. Food & Agriculture Organization, 2023. |
| [6] | D'AMOUR C, WENZ L, KALKUHL M, et al. Teleconnected food supply shocks. Environmental Research Letters, 2016, 11(3): 035007. |
| [7] | Outlook A E. Mobilizing private sector financing for climate and green growth in Africa. Abidjan: African Development Bank/Organization for Economic Cooperation and Development/United Nations Development Programme, 2023. |
| [8] | MEDINILLA, SERGEJEFF K. Scaling up African clean energy. Discussion paper 334, ECDPM, 2023. |
| [9] | ZAIDI S, GMIDEN S, SAIDI K. How energy consumption affects economic development in select African countries. Quality & Quantity, 2018, 52(1): 501-513. |
| [10] | BANINLA Y, LU Y, ZHANG Q, et al. Material use and resource efficiency of African sub-regions. Journal of Cleaner Production, 2020, 247: 119092. |
| [11] | WANG J, SHAN Y, CUI C, et al. Investigating the fast energy-related carbon emissions growth in African countries and its drivers. Applied Energy, 2024, 357: 122494. |
| [12] | LAHNAOUI A, VENGHAUS S, KUCKSHINRICHS W. Assessing the drivers of energy supply and demand in Sub-Saharan Africa. Energy Strategy Reviews, 2024, 54: 101483. |
| [13] | UNEP.Africa Environment Outlook 6: Towards Green Economies. UNEP, 2020. |
| [14] | AUTY R. The political economy of resource-driven growth. European Economic Review, 2001, 45(4-6): 839-846. |
| [15] | SACHS J, WARNER A. Natural resource abundance and economic growth. Harvard Institute for Nber Working Paper, 1995, 3: 54. |
| [16] | 严思齐, 彭建超, 吴群. 中国工业用地利用效率收敛特征. 资源科学, 2018, 40(6): 1163-1174. |
| YAN S, PENG J, WU Q. The convergence characteristics of industrial land use efficiency in China. Resources Science, 2018, 40(6): 1163-1174. | |
| [17] | BAUMOL W J. Productivity growth, convergence, and welfare: What the long-run data show. American Economic Review, 1986, 76(5): 1072-1085. |
| [18] | HE Y, QIN R, WANG B. Consistent or inconsistent? The club convergence effect and matching degree analysis on energy consumption intensity and production density: Evidence from the data of 2000–2020 in China. Energy Strategy Reviews, 2023, 50: 101223. |
| [19] | 王帮俊, 崔林玉. 城市人均能源消费时空差异及收敛性分析——基于中国243个地级城市数据. 资源与产业, 2023, 25(3): 31-41. |
| WANG B, CUI L. Temporal-spatial variance and convergence of urban per capita energy consumption based on Chinas 243 prefectures data. Resources & Industries, 2023, 25(3): 31-41. | |
| [20] | BIGERNA S, BOLLINO C, POLINORI P. Convergence in renewable energy sources diffusion worldwide . Journal of Environmental Management, 2021, 292: 112784. |
| [21] | ALATAS S, KARAKAYA E, SARI E. The potential of material productivity alongside energy productivity in climate mitigation: Evidence from convergence tests in the EU28. Resources Conservation and Recycling, 2020, 167: 105322. |
| [22] | DIETZ T, ROSA E. Rethinking the environmental impacts of population, affluence and technology. Human Ecology Review, 1994, 2(1): 277-300. |
| [23] | FISCHER-KOWALSKI M, KRAUSMANN F, GILJUM S, et al. Methodology and indicators of economy‐wide material flow accounting. Journal of Industrial Ecology, 2011, 15(6): 855-876. |
| [24] | PHILLIPS P, SUL D. Transition modeling and econometric convergence tests. Econometrica, 2007, 75(6): 1771-1855. |
| [25] | 张小宇, 黄沁怡. 中国城市房产价格的俱乐部收敛特征及其溢出效应检验. 中南大学学报(社会科学版), 2023, 29(1): 108-122. |
| ZHANG X, HUANG Q. Club convergence characteristics of urban real estate prices in China and its spillover effect test. Journal of Central South University(Social Sciences), 2023, 29(1): 108-122. | |
| [26] | 杨海丽, 邹剑涛. 我国农产品流通现代化水平评价、动态演进与收敛性. 中国流通经济, 2024, 38(7): 47-60. |
| YANG H, ZOU J. Evaluation of the modernization level, dynamic evolution and convergence of agricultural products circulation in China. China Circulation Economy, 2024, 38(7): 47-60. | |
| [27] | EHRLICH P, HOLDREN J. Impact of population growth: Complacency concerning this component of man's predicament is unjustified and counterproductive . Science, 1971, 171(3977): 1212-1217. |
| [28] | 史琴琴, 鲁丰先, 陈海, 等. 中原经济区城镇居民消费间接碳排放时空格局及其影响因素. 资源科学, 2018, 40(6): 1297-1306. |
| SHI Q, LU F, CHEN H, et al. Temporal-spatial patterns and factors affecting indirect carbon emissions from urban consumption in the Central Plains Economic Region. Resources Science, 2018, 40(6): 1297-1306. | |
| [29] | 李明, 薛峰, 张婧, 等. 安庆市工业能源消费碳排放影响因素分析与趋势预测. 安庆师范大学学报(自然科学版), 2024, 30(2): 1-9. |
| LI M, XUE F, ZHANG J, et al. Analysis of influencing factors and trend prediction of carbon emissions from industrial energy consumption in Anqing City. Journal of Anqing Normal University (Natural Science Edition), 2024, 30(2): 1-9. | |
| [30] | 高欣悦, 曲建升, 葛钰洁, 等. 基于STIRPAT模型的甘肃省碳排放影响因素研究. 环境科学与管理, 2024, 49(7): 32-36. |
| GAO X, QU J, GE Y, et al. Research on influencing factors of carbon emission in Gansu Province based on STIRPAT model. Environmental Science and Management, 2024, 49(7): 32-36. | |
| [31] | 张江艳. 基于扩展STIRPAT模型LMDI分解的碳排放脱钩因素. 环境科学, 2024, 45(4): 1888-1897. |
| ZHANG J. Carbon emission decoupling factors based on LMDI decomposition of extended STIRPAT model. Environmental Science, 2024, 45(4): 1888-1897. | |
| [32] | 马楠, 邓晓红, 李宗省, 等. 甘肃省实现"双碳"目标的情景模拟及对策建议. 中国沙漠, 2023, 43(5): 66-73. |
| MA N, DENG X, LI Z, et al. Scenario simulation and countermeasures for achieving the "double carbon" goal in Gansu Province. China Desert Research, 2023, 43(5): 66-73. | |
| [33] | 王杰, 李治国, 谷继建. 金砖国家碳排放与经济增长脱钩弹性及驱动因素——基于 Tapio 脱钩和 LMDI 模型的分析. 世界地理研究, 2021, 30(3): 501-508. |
| WANG J, LI Z, GU J. Decoupling analysis between energy consumption and economic growth in BRICS countries: Based on Tapio decoupling and LMDI model analysis. World Regional Studies, 2021, 30(3): 501-508. | |
| [34] | 梁涵玮, 倪玥琦, 董亮, 等. 经济增长与资源消费的脱钩关系. 中国人口·资源与环境, 2018, 28(5) : 8-16. |
| LIANG H, NI Y, DONG L, et al. Decoupling relationship analysis between economic growth and resource consumption in China, Japan, South Korea and the United States. China Population, Resources and Environment, 2018, 28(5): 8-16. | |
| [35] | STONE M. Cross-validatory choice and assessment of statistical predictions. Journal of the Royal Statistical Society, 1974, 36(2): 111-133. |
| [36] | 周馨冉, 王金叶, 杨依慧. 双碳背景下广西城市能源碳排放影响因素分析. 湖南工业大学学报, 2024, 38(5): 70-75. |
| ZHOU X, WANG J, YANG Y. Analysis of influencing factors of urban energy carbon emissions in Guangxi under the background of carbon peaking and carbon neutrality. Journal of Hunan University of Technology, 2024, 38(5): 70-75. | |
| [37] | 曾婷. 中国城市碳排放强度俱乐部收敛及其影响因素研究. 深圳 : 深圳大学, 2022. |
| ZENG T. Research on the convergence and influencing factors of urban carbon emission intensity club in China. Shenzhen : Shenzhen University, 2022. | |
| [38] | SURROOP D, RAGHOO P. Energy landscape in Mauritius. Renewable and Sustainable Energy Reviews, 2017, 73: 688-694. |
| [39] | HENDERSON V, VENABLES J A, REGAN T, et al. Building functional cities. Science, 2016, 352(6288): 946-947. |
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