Abstract
Full mobilization and effective use of climate aid is of great importance for the low carbon transition of Belt and Road Initiative (BRI) countries. This study utilizes the two-step system generalized method of moments model to evaluate the effects of climate aid on carbon emissions reduction and the impact mechanism through energy structure optimization. The panel data of 93 Belt and Road countries from 2000 to 2018 were used for empirical analysis. Results show that climate aid has a significant reduction effect on the carbon emissions intensity of BRI countries, and the dominant component of climate aid, i.e., mitigation aid, corresponds to better carbon emissions reduction benefits than adaptation aid. The impact mechanism demonstrates that the climate aid has dual carbon emissions reduction effects in BRI countries which have an intermediate energy structure. It indicates that climate aid not only directly reduces carbon emissions by increasing carbon reduction resources, but also indirectly reduces carbon emissions by promoting renewable energy and optimizing the energy structure. The results evidence the theory of environmental Kuznets curve hypothesis and channels of climate aid effects. Practical implications from the current study include that more climate finance support should be provided to BRI countries by developed countries, the effectiveness of climate aid should be improved by investing in projects with significant carbon reduction like renewable energy, data monitoring and performance evaluation of climate aid should be strengthened, and China should take its role and make more contributions to the low carbon transition especially energy transition of BRI countries.
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References
Álvarez-Herránz A, Balsalobre D, Cantos J, Shahbaz M (2017) Energy innovations-GHG emissions nexus: fresh empirical evidence from OECD countries. Energy Policy 101:90–100
Arellano M, Bond S (1991) Some tests of specification for panel data: Monte Carlo evidence and an application to employment equations. Rev Econ Stud 58:277–297
Arvin BM, Lew B (2009) Foreign aid and ecological outcomes in poorer countries: an empirical analysis. Appl Econ Lett 16:295–299
Bento JPC, Moutinho V (2016) CO2 emissions, non-renewable and renewable electricity production, economic growth, and international trade in Italy. Renew Sustain Energy Rev 55:142–155
Bhattacharyya S, Intartaglia M, McKay A (2018) Does energy-related aid affect emissions? Evidence from a global dataset. Rev Dev Econ 22:1166–1194
Blundell R, Bond S (1998) Initial conditions and moment restrictions in dynamic panel data models. J Econ 87:115–143
Blundell R, Bond S (1995): Initial conditions and moment restrictions in dynamic panel data models, Economics Papers 104, Economics Group, Nuffield College, University of Oxford
Bointner R (2014) Innovation in the energy sector: lessons learnt from R&D expenditures and patents in selected IEA countries. Energy Policy 73:733–747
Bosah CP, Li S, Ampofo GKM, Liu K (2021) Dynamic nexus between energy consumption, economic growth, and urbanization with carbon emission: evidence from panel PMG-ARDL estimation. Environ Sci Pollut Res Int 28:61201–61212
Carfora A, Scandurra G (2019) The impact of climate funds on economic growth and their role in substituting fossil energy sources. Energy Policy 129:182–192
Carfora A, Ronghi M, Scandurra G (2017) The effect of climate finance on greenhouse gas emission: a quantile regression approach. Int J Energy Econ Policy 7:185–199
Choi I (2001) Unit root tests for panel data. J Int Money Financ 20:249–272
Chung YW, Shin KN, Sohn SH (2018) The effects of climate technology-related development finance on greenhouse gases reduction. Korea World Econ 19:105–135
EIA (2021) Renewable & alternative fuels. https://www.eia.gov/renewable/data.php. Accessed 26 June 2021
Ellis J, Caruso R, Ockenden S (2013) Exploring climate finance effectiveness., OECD/IEA Climate Change Expert Group Papers (No. 2013/04). OECD Publishing, Paris
Fan J-L, Da Y-B, Wan S-L, Zhang M, Cao Z, Wang Y, Zhang X (2019) Determinants of carbon emissions in ‘Belt and Road initiative’ countries: a production technology perspective. Appl Energy 239:268–279
Godil DI, Yu Z, Sharif A, Usman R, Khan SAR (2021) Investigate the role of technology innovation and renewable energy in reducing transport sector CO2 emission in China: a path toward sustainable development. Sustain Dev 29:694–707
Gu A, Zhou X (2020) Emission reduction effects of the green energy investment projects of China in belt and road initiative countries. Ecosyst Health Sustain 6:1747947
Guo W, Chen Y (2018) Assessing the efficiency of China’s environmental regulation on carbon emissions based on Tapio decoupling models and GMM models. Energy Rep 4:713–723
Grossman C, Krueger A (1991) Environmental impacts of a North American free trade agreement. NBER Working Papers 3914, National Bureau of Economic Research, Inc
Han M, Lao J, Yao Q, Zhang B, Meng J (2020) Carbon inequality and economic development across the Belt and Road regions. J Environ Manage 262:110250
Hao Y, Zhang Z-Y, Yang C, Wu H (2021) Does structural labor change affect CO2 emissions? Theoretical and empirical evidence from China. Technol Forecast Soc Chang 171:120936
Hu Y, Ren S, Wang Y, Chen X (2020) Can carbon emission trading scheme achieve energy conservation and emission reduction? Evidence from the industrial sector in China. Energy Econ 85:104590
Hussain MN, Li Z, Sattar A (2022) Effects of urbanization and nonrenewable energy on carbon emission in Africa. Environ Sci Pollut Res Int 29:25078–25092
Im KS, Pesaran MH, Shin Y (2003) Testing for unit roots in heterogeneous panels. J Econ 115:53–74
IPCC (2021) Summary for Policymakers. In: Masson-Delmotte V, Zhai P, Pirani A, Connors SL, Péan C, Berger S, Caud N, Chen Y, Goldfarb L, Gomis MI, Huang M, Leitzell K, Lonnoy E, Matthews JBR, Maycock TK, Waterfield T, Yelekçi O, Yu R, Zhou B (eds) Climate change 2021: The physical science basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge
IRENA (2018) Global energy transformation: a road map to 2050. International Renewable Energy Agency, Abu Dhabi
Jebli M, Youssef S, Apergis N (2019) The dynamic linkage between renewable energy, tourism, CO2 emissions, economic growth, foreign direct investment, and trade. Latin Am Econ Rev 28:1–19
Kao C (1999) Spurious regression and residual-based tests for cointegration in panel data. J Econ 90:1–44
Kaya Y, Yokobori K (1993) Environment, energy, and economy: strategies for sustainability. United Nations University Press, Tokyo, New York, Paris
Kennedy P (1992) A guide to econometrics. Blackwell, Oxford
Khan SAR, Sharif A, Golpîra H, Kumar A (2019) A green ideology in Asian emerging economies: from environmental policy and sustainable development. Sustain Dev 27:1063–1075
Khan Z, Ali S, Umar M, Kirikkaleli D, Jiao Z (2020) Consumption-based carbon emissions and International trade in G7 countries: the role of environmental innovation and renewable energy. Sci Total Environ 730:138945
Khan I, Han L, Khan H (2022) Renewable energy consumption and local environmental effects for economic growth and carbon emission: evidence from global income countries. Environ Sci Pollut Res Int 29:13071–13088
Kretschmer B, Hübler M, Nunnenkamp P (2013) Does foreign aid reduce energy and carbon intensities of developing economies? J Int Dev 25:67–91
Levin A, Lin C-F, Chu C-SJ (2002) Unit root tests in panel data: asymptotic and finite sample properties. J Econ 108:1–24
Lin B, Ahmad I (2017) Analysis of energy related carbon dioxide emission and reduction potential in Pakistan. J Clean Prod 143:278–287
Liobikienė G, Butkus M (2019) Scale, composition, and technique effects through which the economic growth, foreign direct investment, urbanization, and trade affect greenhouse gas emissions. Renew Energy 132:1310–1322
Munoz C, Miquel KG, Zhongshu L (2018) Renewable energy: the trillion dollar opportunity for Chinese overseas investment. Chin World Econ 26:27–49
Ono T (1998) Consumption externalities and the effects of international income transfers on the global environment. J Econ 68:255–269
OWD (2021) CO2 and greenhouse gas emissions. https://ourworldindata.org/co2-andother-greenhouse-gas-emissions. Accessed 2 July 2021
OECD (2021) Climate Change: OECD DAC External Development Finance Statistics. https://www.oecd.org/dac/financing-sustainable-development/development-finance-topics/climate-change.htm. Accessed 20 June 2021
Pedroni P (1999) Critical values for cointegration tests in heterogeneous panels with multiple regressors. Oxford Bull Econ Stat 61:653–670
Pei C, Wang X, Lin Y, Fang L, Meng S (2019) Inhibition of galectin-3 alleviates cigarette smoke extract-induced autophagy and dysfunction in endothelial progenitor cells. Oxid Med Cell Longev 2019:7252943
Qu X, Luo H (2021) Impact of China’s OFDI on carbon emissions and its transmission mechanism: an empirical analysis based on multiple mediation effect model. China Popul Resour Environ 31:1–14
Rübbelke DTG (2005) Foreign aid and global public goods: impure publicness, cost differentials and negative conjectures. Int Environ Agreem 5:151–173
Schweinberger AG, Woodland AD (2008) The short and long run effects of tied foreign aid on pollution abatement, pollution and employment: a pilot model. J Environ Econ Manag 55:310–325
Sharif A, Jammazi R, Raza SA, Shahzad SJH (2017a) Electricity and growth nexus dynamics in Singapore : fresh insights based on wavelet approach. Energy Policy 110:686–692
Sharif A, Saha S, Loganathan N (2017b) Does tourism sustain economic growth? Wavelet-based evidence from the United States. Tour Anal 22:467–482
Sharif A, Raza SA, Ozturk I, Afshan S (2019) The dynamic relationship of renewable and nonrenewable energy consumption with carbon emission: a global study with the application of heterogeneous panel estimations. Renew Energy 133:685–691
Sharif A, Afshan S, Chrea S, Amel A, Khan SAR (2020a) The role of tourism, transportation and globalization in testing environmental Kuznets curve in Malaysia: new insights from quantile ARDL approach. Environ Sci Pollut Res Int 27:25494–25509
Sharif A, Baris-Tuzemen O, Uzuner G, Ozturk I, Sinha A (2020b) Revisiting the role of renewable and non-renewable energy consumption on Turkey’s ecological footprint: evidence from quantile ARDL approach. Sustain Cities Soc 57:102138
Shen Y, Su ZW, Malik MY, Umar M, Khan Z, Khan M (2021) Does green investment, financial development and natural resources rent limit carbon emissions? A provincial panel analysis of China. Sci Total Environ 755:142538
Suki NM, Sharif A, Afshan S, Suki NM (2020) Revisiting the environmental Kuznets curve in Malaysia: the role of globalization in sustainable environment. J Clean Prod 264:121669
Tao Y, Liang H, Celia MA (2020) Electric power development associated with the Belt and Road Initiative and its carbon emissions implications. Appl Energy 267:114784
UN (1997) Kyoto protocal. United Nations Framework Convention on Climate Change (UNFCCC), Kyoto
Wang Z, Zhu Y, Zhu Y, Shi Y (2016) Energy structure change and carbon emission trends in China. Energy 115:369–377
Wang Q, Guo J, Dong Z (2021) The positive impact of official development assistance (ODA) on renewable energy development: evidence from 34 Sub-Saharan Africa Countries. Sustain Prod Consum 28:532–542
Wang Q, Guo J, Li R (2022) Official development assistance and carbon emissions of recipient countries: a dynamic panel threshold analysis for low- and lower-middle-income countries. Sustain Prod Consum 29:158–170
Watson C, Schalatek L (2021) The global climate architecture 2020. Overseas Development Institute and Heinrich Böll Stiftung
Wen Z, Ye B (2014) Analyses of mediating effects: the development of methods and models. Adv Psychol Sci 22:731–745
Westerlund J (2007) Testing for error correction in panel data. Oxf Bull Econ Stat 69:709–748
Wu J, Tang L, Mohamed R, Zhu Q, Wang Z (2016) Modeling and assessing international climate financing. Front Earth Sci 10:253–263
Wu X, Pan A, She Q (2021b) Direct and indirect effects of climate aid on carbon emissions in recipient countries. J Clean Prod 290:125204
Wu X, Pan A, Fei R (2021a) Three-dimensional heterogeneity analysis of climate aid’s carbon reduction effect. J Environ Manage 289:112524
WDI (2021) World Bank Open Data. https://data.worldbank.org/. Accessed 12 July 2021
Yang F, Yang M (2019) Greening the one belt and one road initiative. Mitig Adapt Strat Glob Change 24:735–748
Yu Y, Zhang N (2021) Low-carbon city pilot and carbon emission efficiency: quasi-experimental evidence from China. Energy Econ 96:105125
Yu S, Zheng S, Li X (2018) The achievement of the carbon emissions peak in China: the role of energy consumption structure optimization. Energy Econ 74:693–707
Zhang X, Zhang H, Zhao C, Yuan J (2019) Carbon emission intensity of electricity generation in Belt and Road Initiative countries: a benchmarking analysis. Environ Sci Pollut Res 26:15057–15068
Zhu C, Gao D (2019) A research on the factors influencing carbon emission of transportation industry in “the Belt and Road Initiative” countries based on panel data. Energies 12:2405
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The authors appreciate the editor and reviewers for useful comments and suggestions.
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This research was funded by the National Key Research and Development Program of China (2018YFA0606504) and National Natural Science Foundation of China (72140007, 71804178).
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An Zeng: conceptualization, data collection and analysis, manuscript writing. Yuhui Sheng: data collection, econometric model, and empirical analysis. Baihe Gu: conceptualization, results analysis, manuscript review, and editing. Zhengzao Wang: econometric model and empirical analysis. Mingyue Wang: econometric model and empirical analysis.
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Zeng, A., Sheng, Y., Gu, B. et al. The impact of climate aid on carbon emissions reduction and the role of renewable energy: evidence from the Belt and Road countries. Environ Sci Pollut Res 29, 77401–77417 (2022). https://doi.org/10.1007/s11356-022-21185-y
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DOI: https://doi.org/10.1007/s11356-022-21185-y