[1] |
姜彤, 王艳君, 袁佳双, 等. “一带一路”沿线国家2020—2060年人口经济发展情景预测[J]. 气候变化研究进展, 2018, 14 (2): 155-164.
|
|
Jiang T, Wang Y J, Yuan J S, et al. Projection of population and economy in the Belt and Road countries (2020-2060)[J]. Climate Change Research, 2018, 14 (2): 155-164 (in Chinese)
|
[2] |
姜彤, 景丞, 王艳君, 等. SSPs路径下实现全球可持续发展目标的可能性分析[J]. 中国科学: 地球科学, 2020, 50 (10): 1445-1454.
|
|
Jiang T, Jing C, Wang Y J, et al. Analysis of the feasibility of achieving global sustainable development goals under SSP scenarios[J]. Science China: Science Earth, 2020, 50 (10): 1445-1454 (in Chinese)
|
[3] |
曹丽格, 方玉, 姜彤, 等. IPCC影响评估中的社会经济新情景(SSPs)进展[J]. 气候变化研究进展, 2012, 8 (1): 74-78.
|
|
Cao L G, Fang Y, Jiang T, et al. Advances in shared socio-economic pathways for climate change research and assessment[J]. Climate Change Research, 2012, 8 (1): 74-78 (in Chinese)
|
[4] |
Jing C, Su B D, Zhai J Q, et al. Gridded value-added of primary, secondary and tertiary industries in China under shard socioeconomic pathways[J]. Scientific Data, 2022, 9 (1): 309
|
[5] |
Jiang T, Su B D, Wang Y J, et al. Gridded datasets for population and economy under shared socioeconomic pathways[DS/OL]. Science Data Bank, 2022 [2024-04-25]. https://cstr.cn/31253.11.sciencedb.01683.CSTR:31253.11.sciencedb.01683
|
[6] |
Su B D, Huang J L, Thomas F, et al. Drought losses in China might double between the 1.5℃ and 2.0℃ warming[J]. Proceedings of the National Academy of Sciences, 2018, 115 (42): 10600-10605
|
[7] |
Jiang T, Su B D, Huang J L, et al. Each 0.5℃ of warming increases annual flood losses in China by more than 60 billion USD[J]. Bulletin of the American Meteorological Society, 2020, 101 (8): 1464-1474
|
[8] |
Wen S S, Wang Y J, Su B D, et al. Estimation of economic losses from tropical cyclones in China at 1.5℃ and 2.0℃ warming using the regional climate model COSMO-CLM[J]. International Journal of Climatology, 2018, 39 (2): 724-737
|
[9] |
Leimbach M, Kriegler E, Roming N, et al. Future growth patterns of world regions: a GDP scenario approach[J]. Global Environmental Change, 2015, 42: 215-225
|
[10] |
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, 25 (10): 17-31.
|
|
Shan H J. Reestimating the capital stock of China: 1952-2006[J]. Quantitative Economic and Techno-economic Studies, 2008, 25 (10): 17-31 (in Chinese)
|
[11] |
贺京同, 汪震. 有效资本存量、供需匹配与中国经济稳定增长[J]. 贵州财经大学学报, 2024 (1): 1-10.
|
|
He J T, Wang Z. Effective capital stock, matching of supply and demand and China’s stable economic growth[J]. Journal of Guizhou University of Finance and Economics, 2024 (1): 1-10 (in Chinese)
|
[12] |
叶裕民. 全国及各省区市全要素生产率的计算和分析[J]. 经济学家, 2002 (3): 115-121.
|
|
Ye Y M. Calculation and analysis of total factor productivity across the country and provinces[J]. Economist, 2002 (3): 115-121 (in Chinese)
|
[13] |
潘金玉, 苏布达, 翟建青, 等. 基于共享社会经济路径的中国经济发展趋势及其影响要素分析[J]. 气候变化研究进展, 2019, 15 (6): 607-616.
|
|
Pan J Y, Su B D, Zhai J Q, et al. Development of economy and its influencing factors in China under the shared socioeconomic pathways[J]. Climate Change Research, 2019, 15 (6): 607-616 (in Chinese)
|
[14] |
潘金玉, 苏布达, 王艳君, 等. 共享社会经济路径(SSPs)下2020—2050年中国分产业产值时空变化[J]. 气候变化研究进展, 2020, 16 (6): 725-737.
|
|
Pan J Y, Su B D, Wang Y J, et al. Spatio-temporal changes of output value from the primary, secondary and tertiary industries for 2020-2050 under the shared socioeconomic pathways[J]. Climate Change Research, 2020, 16 (6): 725-737 (in Chinese)
|