Abstract
This paper aims to investigate the influence of financial technology (FinTech) on sustainable finance. The sample for this study spans from 2010 to 2021, encompassing data from 89 countries. The study employed a two-stage least-square regression approach with the instrumental variables and confirmed the findings using a two-step system generalized method of moments. The findings show that FinTech has a significant favorable impact on sustainable finance. Other factors such as institutional quality, socioeconomic condition, and renewable energy have a significant and beneficial influence on the trajectory of sustainable finance, except the impact of globalization, which is positive but insignificant. Furthermore, FinTech is crucial to driving the transition toward a sustainable future distinguished by a lower carbon economy. The study found that FinTech has extensive application across various sectors of sustainable finance and has substantial potential to create long-term positive effects in this regard. FinTech can further integrate with other technologies to facilitate diversified growth in sustainable finance. Additionally, this study highlights FinTech-related trends and research opportunities in sustainable finance, demonstrating how they can help each other advance worldwide with significant policy implications for countries seeking to advance sustainable finance through technology.
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Acknowledgements
We are extremely appreciative of Dr. Atta Ullah, Prof. Chen Pinlgu and Prof. Qian Ningyu for the constructive comments and suggestions that helped to improve the draft.
Funding
The paper is supported by the liberal arts double world-class project of Huazhong University of Science and Technology (The major discipline platform construction Rural Development Research Center of Huazhong University of Science and Technology). 华中科技大学文科双一流建设项目基金资助 (重大学科**台建设华中科技大学农村发展研究中心).
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MK did conceptualization; data curation; formal analysis; investigation; methodology; software; roles/writing—original draft. CP done conceptualization; funding acquisition; supervision. SU was involved in visualization; writing—review and editing; and validation. MZ performed writing—review and editing; project administration; and resources.
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Appendices
Appendix 1: Sample countries
# | Country | # | Country | # | Country |
---|---|---|---|---|---|
1 | Albania | 31 | Germany | 61 | Panama |
2 | Algeria | 32 | Ghana | 62 | Papua New Guinea |
3 | Argentina | 33 | Greece | 63 | Paraguay |
4 | Armenia | 34 | Guatemala | 64 | Peru |
5 | Australia | 35 | Guinea | 65 | Philippines |
6 | Austria | 36 | Guinea-Bissau | 66 | Poland |
7 | Bangladesh | 37 | Honduras | 67 | Portugal |
8 | Belarus | 38 | Hungary | 68 | Romania |
9 | Belgium | 39 | India | 69 | Russian Federation |
10 | Botswana | 40 | Indonesia | 70 | Saudi Arabia |
11 | Brazil | 41 | Ireland | 71 | Singapore |
12 | Brunei Darussalam | 42 | Israel | 72 | Slovakia |
13 | Bulgaria | 43 | Italy | 73 | Slovenia |
14 | Cameroon | 44 | Japan | 74 | South Africa |
15 | Canada | 45 | Kazakhstan | 75 | South Korea |
16 | Chile | 46 | Kenya | 76 | Spain |
17 | China | 47 | Latvia | 77 | Sri Lanka |
18 | Colombia | 48 | Lebanon | 78 | Sweden |
19 | Congo, Rep | 49 | Lithuania | 79 | Switzerland |
20 | Croatia | 50 | Luxembourg | 80 | Tanzania |
21 | Cyprus | 51 | Madagascar | 81 | Thailand |
22 | Czech Republic | 52 | Malaysia | 82 | Turkey |
23 | Denmark | 53 | Mexico | 83 | Uganda |
24 | Dominican Republic | 54 | Myanmar | 84 | Ukraine |
25 | Ecuador | 55 | Namibia | 85 | United Kingdom |
26 | El Salvador | 56 | Netherlands | 86 | United States |
27 | Estonia | 57 | Niger | 87 | Uruguay |
28 | Finland | 58 | Nigeria | 88 | Vietnam |
29 | France | 59 | Norway | 89 | Zambia |
30 | Gabon | 60 | Pakistan |
Appendix 2: Description of data
Dependent variable | ||
SFI | PCA index of Adjusted net savings, including particulate emission damage (% of GNI), Current health expenditure (% of GDP), Research and development expenditure (% of GDP) and Financial Stability Index Financial Stability index based on Capital-to-Asset Ratio, Capital adequacy, Bank provisions to non-performing loans (NPLs), Non-Performing Loans/Total Loans, Return on Assets (ROA), Return on Equity (ROE) Adjusted net savings are equal to net national savings plus education expenditure and minus energy depletion, mineral depletion, net forest depletion, and carbon dioxide and particulate emissions damage | World Bank (WDI), IMF financial soundness indicators |
Independent variable | ||
FinTech | The PCA index has been created based on 26 metrics related to various factors: business and technological innovation, financial access, availability, and utilization. These factors were measured using several indicators, including the number of deposit accounts with credit unions and credit cooperatives per 1000 adults, the number of deposit accounts with commercial banks, the number of commercial banks per 100,000 adults, the number of credit unions, the number of registered mobile money accounts per 1000 adults, the number of all microfinance institutional branches per 100,000 adults, credit cooperative branches per 100,000 adults, the number of registered mobile money agent outlets per 100,000, the number of ATMs per 100,000, outstanding deposits with credit unions and credit cooperatives as a percentage of GDP, outstanding deposits with commercial banks as a percentage of GDP, outstanding loans from credit unions and credit cooperatives as a percentage of GDP, outstanding loans from commercial banks as a percentage of GDP, the value of mobile money transactions as a percentage of GDP, outstanding loans from MFIs as a percentage of GDP, telecommunication infrastructure index, mobile cellular subscriptions per 100 people, e-participation index, online service index, business sophistication, business environment, human capital index, individuals using the internet as a percentage of the population, ICTs, ICT access, and ICT use and innovation linkages | IMF; OECD (Organization for Economic Co-operation and Development); UN (United Nations); World Bank; Global Innovation Index (GII) |
Control variables | ||
GI | PCA index based on Trade Globalization (Including Factors), Trade Globalization (Including Institutions), Financial Globalization (Including Factors), Financial Globalization (Including Institutions), Interpersonal Globalization (Including Factors) Interpersonal Globalization (Including Institutions), Informational Globalization (Including Factors), Informational Globalization (Including Institutions), Cultural Globalization (Including Factors), Cultural Globalization (Including Institutions), Political Globalization (Including Factors), Political Globalization (Including Institutions) | KOF Globalization. The globalization’s data are taken from Zurich’s Swiss Institute of Technology |
IQ | PCA index based on the control of corruption, government effectiveness, Political Stability and Absence of Violence/Terrorism, Regulatory Quality and Rule of Law | World Bank (WDI) |
SEC | Based on Unemployment, Poverty, and Inflation. Index ranges from 0 to 12 in which 0 represents high risk while 12 represents low risk | International Country Risk Guide (ICRG) |
REP | Renewable Energy Use (% of total energy usage). Renewable energy consumption is the share of renewable energy in total final energy consumption | World Bank (WDI) |
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Kashif, M., **lu, C., Ullah, S. et al. Evaluating the influence of financial technology (FinTech) on sustainable finance: a comprehensive global analysis. Financ Mark Portf Manag 38, 123–155 (2024). https://doi.org/10.1007/s11408-023-00439-w
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DOI: https://doi.org/10.1007/s11408-023-00439-w
Keywords
- Sustainable development goals
- Sustainable finance
- Financial technology
- Globalization
- Institutional quality
- Renewable energy