地球科学进展 ›› 2020, Vol. 35 ›› Issue (6): 618 -631. doi: 10.11867/j.issn.1001-8166.2020.051

所属专题: “一带一路”绿色发展研究

全球变化研究 上一篇    下一篇

中国投资对“一带一路”地区经济增长和碳排放强度的影响
李侠祥 1, 2( ),刘昌新 2, 3,王芳 1, 2,郝志新 1, 2( )   
  1. 1.中国科学院地理科学与资源研究所,陆地表层格局与模拟重点实验室,北京 100101
    2.中国科学院 大学,北京 100049
    3.中国科学院科技战略咨询研究院,北京 100190
  • 收稿日期:2019-12-19 修回日期:2020-05-01 出版日期:2020-06-10
  • 通讯作者: 郝志新 E-mail:lixx.18b@igsnrr.ac.cn;haozx@igsnrr.ac.cn
  • 基金资助:
    国家重点研发计划项目“地球系统模式与综合评估模型的双向耦合及应用”(2016YFA0602704);国家自然科学基金重点项目“中世纪暖期与小冰期中国东部年代际干湿格局差异及其机制研究”(41831174)

The Impact of China’s Investment on Economic Growth and Carbon Emission Intensity in the “Belt and Road”

Xiaxiang Li 1, 2( ),Changxin Liu 2, 3,Fang Wang 1, 2,Zhixin Hao 1, 2( )   

  1. 1.Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    2.University of Chinese Academy of Sciences, Beijing 100049, China
    3.Institutes of Science and Development, Chinese Academy of Sciences, Beijing 100190, China
  • Received:2019-12-19 Revised:2020-05-01 Online:2020-06-10 Published:2020-07-06
  • Contact: Zhixin Hao E-mail:lixx.18b@igsnrr.ac.cn;haozx@igsnrr.ac.cn
  • About author:Li Xiaxiang (1991-), male, Linyi City, Shandong Province, Ph. D student. Research areas include climate change. E-mail: lixx.18b@igsnrr.ac.cn
  • Supported by:
    the National Key Research and Development Program of China “Coupling and application of Earth system model and Integrated Assessment Model”(2016YFA0602704);The National Natural Science Foundation of China “A study on the difference and mechanism of the interdecadal dry and wet pattern between the Medieval Warm Period and the Little Ice Age in eastern China”(41831174)

增加绿色投资是促进“一带一路”地区实现可持续发展的重要途径之一。通过设计中国对“一带一路”地区无投资、固定投资和加强投资3个情景,利用改进的索罗模型和碳强度变化模型,计算并对比分析了“一带一路”地区7个区域国内生产总值和CO2排放量变化的差异。结果表明,中国投资有利于“一带一路”地区的经济发展和CO2减排,且随着投资的增加,促进作用也越明显。相对无投资情景,截至2100年,在固定、加强投资情景下,“一带一路”地区国内生产总值分别累计增加45.16万亿和97.02万亿美元,CO2累计排放量分别减少44.16 Gt和79.47 Gt,这将导致2100年全球大气CO2浓度下降2.41和4.33 mL/m3。从区域上看,虽然在短期内(2017—2050年),中国投资可能导致东南亚及周边地区、印度和中东欧的CO2排放量小幅增加,但长期(2017—2100年)结果显示,其对各区域CO2排放量下降均有促进作用,特别是对东南亚及周边地区和中东—中亚地区的减排促进作用最明显。这表明中国投资有利于促进“一带一路”地区的绿色可持续发展。

Increasing green investment is one of the important ways to promote sustainable development in the Belt and Road (B&R) region. We predicted the effects of China’s investments on the CO2 emission patterns in B&R areas under the scenarios of No-Investment (NIS), Business-as-usual Investment (BIS) and the Strengthening Investment Scenario (SIS) based on the improved Solow model and a CO2 intensity model. The results reveal that the GDP of B&R region will cumulatively increase by 45.16 and 97.02 trillion USD, and the CO2 will cumulatively decrease by 44.16 and 79.47 Gt by 2100, respectively, under BIS and SIS, compared with NIS. The cumulative decrease of CO2 emissions, 44.16 and 79.47 Gt, will lead to global CO2 concentration decrease by approximately 2.41 mL/m3 and 4.33 mL/m3 in 2100, respectively. Regionally, China’s investments have the most obvious role in promoting the economic development and CO2 emission reductions of Southeast Asia and its surrounding areas. In the short term (2017-2050), China's investment may lead to a small increase in CO2 emissions in Southeast Asia and its surrounding areas, India and the Central and Eastern Europe, but in the long term (2017-2100), China's investment will promote the reduction of CO2 emissions in all regions, especially in Southeast Asia and surrounding areas and the Middle East Central Asia region. This shows that China's investment is conducive to promoting the green development of the B&R regions.

中图分类号: 

表1 “一带一路”地区模型构建的数据及其来源
Table 1 Data and source for model construction in the "Belt and Road" region
表2 “一带一路”区域划分及各区域 2017CO2排放量与 GDP总量占比
Table 2 Division of the "Belt and Road" and the proportions of CO2 emissions and GDPs of the "Belt and Road" subregions to the totals of the "Belt and Road" region in 2017
分区名称 涵盖国家 CO2排放量占比/% GDP总量占比/%
俄罗斯 俄罗斯 14.17 9.06
印度 印度 18.59 12.57
中东—中亚 巴基斯坦、伊朗、伊拉克、卡塔尔、阿联酋、巴勒斯坦、沙特阿拉伯、巴林、约旦、黎巴嫩、阿曼、也门、科威特、阿塞拜疆、蒙古、格鲁吉亚、土耳其、亚美尼亚、哈萨克斯坦、乌兹别克斯坦、土库曼斯坦、吉尔吉斯斯坦、塔吉克斯坦 25.14 22.51
东南亚及周边 印度尼西亚、泰国、马来西亚、越南、菲律宾、孟加拉、缅甸、斯里兰卡、文莱、尼泊尔、柬埔寨、巴布亚新几内亚、老挝、马尔代夫、不丹、萨摩亚、斐济 12.00 13.79
非洲—拉丁美洲 南非、埃及、委内瑞拉、阿尔及利亚、尼日利亚、智利、摩洛哥、利比亚、特立尼达和多巴哥、厄瓜多尔、突尼斯、安哥拉、多米尼加、玻利维亚、苏丹、加纳、肯尼亚、津巴布韦、埃塞尔比亚、坦桑尼亚、科特迪瓦、塞内加尔、巴拿马、莫桑比克、哥斯达黎加、喀麦隆、乌拉圭、萨尔瓦多、乌干达、加蓬、赞比亚、纳米比亚、刚果(布)、马达加斯加、毛里塔尼亚、多哥、几内亚、圭亚那、南苏丹、苏里南、塞拉利昂、卢旺达、乍得、安提瓜和巴布达、冈比亚、塞舌尔、佛得角、布隆迪 14.14 16.69
中东欧 波兰、乌克兰、罗马尼亚、白俄罗斯、保加利亚、匈牙利、塞尔维亚、波黑、爱沙尼亚、克罗地亚、立陶宛、马其顿、拉脱维亚、阿尔巴尼亚、摩尔多瓦、黑山 7.21 7.52
经济发达且 低碳发展区 奥地利、捷克、希腊、以色列、马耳他、新西兰、葡萄牙、韩国、新加坡、斯洛伐克、斯洛文尼亚 8.75 17.86
图1 中国投资对“一带一路”地区碳排放量的影响路径
Fig.1 The roadmap of the effects of China’s investments in the "Belt and Road" region on emissions
表3 各区域经济增长模型中的主要参数
Table 3 The main parameters in each subregion
表4 中国投资区和非中国投资区碳强度的拟合结果 *
Table 4 The fitting results of CO 2 intensity in “non-Chinese investment part” and “Chinese investment part” *
表5 投资情景及主要投资行业
Table 5 Investment scenarios and investment industries
图2 19902015年模拟与统计的各区域GDPCO2强度和CO2排放量
(a)~(c)印度;(d)~(f)俄罗斯; (g)~(i)非洲—拉丁美洲;(j)~(l)东南亚及周边;(m)~(o)中东—中亚;(p)~(i)中东欧;(s)~(u)经济发达且低碳发展区
Fig.2 Simulation and statistical data of GDP, CO2 intensity and CO2 emissions during 1990-2015 in each subregion
(a)~(c) India;(d)~(f) Russia; (g)~(i)Africa and Latin America;(j)~(l)Southeast Asia and its sourrounding;(m)~(o) Middle East and Central Asia;(p)~(i) Central and Eastern Euorpe;(s)~(u) Economically developed and low-carbon region
图3 固定、加强投资情景下20172100年各区域相对无投资情景的GDP累计增加量差异
(a) 固定投资情景减无投资情景; (b) 加强投资情景减无投资情景
Fig.3 The differences in the cumulative increase of GDP from 2017 to 2100 between business-as-usual (strengthening) investment scenario and no-investment scenario in each subregion
(a) Business-as-usual investment scenario minus no investment scenario; (b) Strengthening investment scenario minus no-investment scenario
图4 固定、加强投资情景下20172100年各区域相对无投资情景的CO2强度变化差异
(a) 固定投资情景减无投资情景; (b) 加强投资情景减无投资情景
Fig.4 The differences in CO2 intensity between business-as-usual strengthening investment scenario and no-investment scenario in each subregion from 2017 to 2100
(a) Business-as-usual investment scenario minus no investment scenario; (b) Strengthening investment scenario minus no-investment scenario
图5 固定、加强投资情景下20172100年各区域相对无投资情景的累计CO2排放量差异
(a) 固定投资情景减无投资情景; (b) 加强投资情景减无投资情景
Fig.5 The differences in CO2 emissions between business-as-usual strengthening investment scenario and no-investment scenario in each subregion from 2017 to 2100
(a) Business-as-usual investment scenario minus no investment scenario; (b) Strengthening investment scenario minus no-investment scenario
表6 20212050年中国、印度和俄罗斯地区 GDP增长率对比
Table 6 Comparison of GDP growth rates in China, India and Russia in 2021-2050
1 Galeotti M. Economic Development and Environmental Protection [Z/OL]. SSRN,2003, No. 89.2003. [2019-11-15]. .
URL    
2 Sun T Y, Zhou S Q, Cheng L, et al. Decarbonizing the Belt and Road a green finance roadmap [M/OL]. [2019-11-15]. .
URL    
3 China New Energy International Alliance. Research on the Development Path and Promotion Mechanism of Renewable Energy Development in the Belt and Road-Performanc Reporting[R/OL]. [2019-11-15]. .
URL    
中国新能源海外发展联盟. “一带一路”可再生能源发展合作路径及其促进机制研究[R/OL]. [2019-11-15]. .
URL    
4 Li Xinlei. China's clean energy diplomacy and the Belt and Road Initiative:Opportunities, challenges, and capacity building[J]. Global Review, 2017, (3):36-57.
李昕蕾.“一带一路”框架下中国的清洁能源外交——契机、挑战与战略性能力建设[J]. 国际展望,2017, (3):36-57.
5 Zhong Sheng. BRI Helps Participating Countries with Technological Innovation [EB/OL]. [2019-11-15]. .
URL    
6 Tao Wendi. Report on Cooperative Development of Green Production Capacity of China’s High-energy Industries in the Belt and Road[M/OL]. [2019-11-15].
URL    
. [陶文娣. 中国高耗能行业“一带一路”绿色产能合作发展报[M/OL].[2019-11-15]. ]
URL    
7 Grey K, Brank D. Environmental issues in policy-based competition for investment: A literature review[J]. Ecological Economics, 2002, 11: 71-81.
8 Talukdar D, Meisner C M. Does the private sector help or hurt the environment? Evidence from carbon dioxide pollution in developing countries[J]. World Development, 2001, 29(5): 827-840.
9 Perkins R, Neumayer E. Do recipient country characteristics affect international spillovers of CO2-efficiency via trade and foreign direct investment? [J]. Climatic Change, 2012, 112(2): 469-491.
10 Wang Yunxia, Li Guoping. The current situation of industrial chain—A review[J]. Journal of Industrial Technological Economics, 2006, (10): 61-65.
王云霞, 李国平. 产业链现状研究综述[J]. 工业技术经济, 2006,(10):61-65.
11 National Development and Reform Commission. Foreign Investment Have Been Become One of the Important Ways to Build the “Belt and Road” [EB/OL].(2018-01-22). [2019-11-15]. .
URL    
国家发改委.对外投资已成为推进“一带一路”建设重要方式[EB/OL]. (2018-01-22). [2019-11-15]. .
URL    
12 Niu Xiongying, Ding Yanqiao. The effect of foreign direct investment on the economic growth of the countries along “The Belt and Road”: Based on the mediating effect of carbon emissions[J]. Journal of Northwest Normal University (Social Sciences), 2019, 56(3): 110-119.
牛雄鹰, 丁言乔. 我国对外直接投资对“一带一路”沿线国家经济增长的影响——基于碳排放的中介作用[J]. 西北师大学报:社会科学版, 2019, 56(3): 110-119.
13 Guangjun Sui, Huang Liangxiong, Huang Xing. China's foreign direct investment, infrastructure construction and the "Belt and Road" national economic growth [J]. Journal of Guangdong University of Finance and Economics, 2017, 32(1): 32-43.
隋广军, 黄亮雄, 黄兴. 中国对外直接投资、基础设施建设与“一带一路”沿线国家经济增长[J]. 广东商学院学报, 2017, 32(1): 32-43.
14 Liu Qingjie, Ren Dexiao, Liu Qian. The spatial spillover effect of FDI on the economic growth of the countries along “The Belt and Road”: An expansion model based on regional externalities [J]. Journal of Yunnan Finance and Trade Institute, 2020, (4): 36-50.
刘青杰, 任德孝, 刘倩. FDI对“一带一路”沿线国家经济增长的空间溢出效应——一个基于区域外部性的扩展模型 [J]. 云南财经大学学报, 2020, (4): 36-50.
15 Xiong C R, Wang L, Yang C, et al. Measuring the effect of foreign direct investment on CO2 emissions in Laos [J]. Journal of Resources and Ecology, 2019, 10(6): 685-691.
16 Xie Tianziguang, Xue Fei, Ge Pengfei. Impact of China’s OFDI on green total factor productivity of countries along the “Belt and Road” [J]. Journal of Shanghai University of Finance and Economics, 2019, 21(6): 96-110.
协天紫光, 薛飞,葛鹏飞.中国对外直接投资对“一带一路”沿线国家绿色全要素生产率的影响[J]. 上海财经大学学报, 2019, 21 (6): 97-110.
17 Fu Jingyan, Si Xiumei. Driving factors of carbon emission of the Countries along “the Belt and Road”, their potential and contribution to the emission reduction [J]. Tropical Geography, 2017, 37(1):1-9.
傅京燕, 司秀梅. “一带一路”沿线国家碳排放驱动因素、减排贡献与潜力 [J]. 热带地理, 2017, 37(1): 1-9.
18 Nordhaus W D. Managing the Global Commons: The Economics of Climate Change [M]. Cambridge: The MIT Press, 1994.
19 De la Fuente A, Doménech R. Human capital in growth regressions: How much difference does data quality make [J]. Journal of the European Economic Association, 2006, 4(1): 1-36.
20 Berlemann M, Wesselh?ft J E. Aggregate capital stock estimations for 122 countries: An update [J]. Review of Economics, 2017, 68(2): 75-92.
21 Kim Y E, Loayza N V. Productivity Growth: Patterns and Determinants Across the World [Z]. SSRN, 2019. No.8852. 2019-05-15.
22 Cardarelli M R, Lusinyan L. US Total Factor Productivity Slowdown: Evidence from the US States [M]. Washington: International Monetary Fund, 2015:15-116.
23 Geng Dewei. The decline of TFP is the main reason for the slowdown of China's economic growth [J]. China Price, 2017, (3): 3-7.
耿德伟. 全要素生产率下降是我国经济增速放缓的主要原因 [J]. 中国物价, 2017, (3): 3-7.
24 Wang Feng, Feng Genfu, Wu Lihua. Regional contribution to the decline of national carbon intensity in China’s economic growth [J]. Economic Research Journal, 2013, (8): 143-155.
王锋, 冯根福, 吴丽华. 中国经济增长中碳强度下降的省区贡献分解 [J]. 经济研究, 2013,(8): 143-155.
25 Zheng Muqiang. General characteristics, problem and outlook of energy economy in ASEAN countries [J]. Around Southeast Asia, 2010, (8):32-35.
郑慕强. 东盟国家能源经济的总体特征、问题及展望 [J]. 东南亚纵横, 2010, (8): 32-35.
26 Moudatsou A. Foreign direct investment and economic growth in the European Union [J]. Journal of Economic Integration, 2003, 18(4): 689-707.
27 Blomstr?m M, Kokko A, Globerman S. The Determinants of Host Country Spillovers From Foreign Direct Investment: A Review and Synthesis of the Literature [M]. London: Palgrave Macmillan, 2001:34-65.
28 Lleshaj L, Malaj A. The impact of Foreign Direct Investments (FDIs) on economic growth: The solow model in the case of Albania[J]. Ejes European Journal of Economics and Business Studies Articles, 2016, 4(1): 152.
29 Tiwari A K, Mutascu M. Economic growth and FDI in Asia: A panel-data approach [J]. Economic Analysis and Policy, 2011, 41(2): 173-187.
30 Cui A S, Griffith D A, Cavusgil S T, et al. The influence of market and cultural environmental factors on technology transfer between foreign MNCs and local subsidiaries: A croatian illustration [J]. Journal of World Business, 2006, 41(2): 100-111.
31 Jiang Tong, Wang Yanjun, Yuan Jiashuang, et al. Projection of population and economy in the Belt and Road countries (2020-2060) [J]. Climate Change Research, 2018, 14(2): 155-164.
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.
[1] 周卫健,吴书刚,熊晓虎,程鹏,王鹏,侯瑶瑶,牛振川,杜花,陈宁,卢雪峰,付云翀,刘林. 我国城市大气化石源 CO214C示踪研究进展[J]. 地球科学进展, 2020, 35(9): 881-889.
[2] 王勤花, 张志强, 曲建升. 家庭生活碳排放研究进展分析[J]. 地球科学进展, 2013, 28(12): 1305-1312.
阅读次数
全文


摘要