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Evaluating the influence of financial technology (FinTech) on sustainable finance: a comprehensive global analysis

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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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Authors and Affiliations

Authors

Contributions

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.

Corresponding author

Correspondence to Chen **lu.

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The authors declare no potential conflict of interest.

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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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