Bibiliometric Analysis of Micro Finance Research during 2000-2021 Using Scopus Data Base

Maheswari Dama^* and Kannaji Rao
^*Correspondence: Maheswari Dama, Department of Commerce and Management Studies, Andhra University, Visakhapatnam, Andhra Pradesh, India, Tel: 99100756857, Email:

Keywords

Micro finance • Bibiliometric analysis • Financial services • Documentation • Emphasizes

Introduction

Financial inclusion refers to businesses and families being able to obtain reasonably priced and adequate formal financial services that match their needs. Geographic (i.e., proximity to a financial service provider) and socioeconomic access to financial services are two ways to characterize access to financial services (that is, absence of prohibitive fees and documentation requirements). Other significant factors include appropriate product design that meets the needs of customers, is sustainable for both suppliers and users, and does not include abusive pricing. Micro finance is a comprehensive micro-enterprise program that addresses all areas of self-employment, including the organizing of the rural poor into self-help groups and their capacity building, the planning of activity clusters, infrastructure development, technology, lending, and marketing [1-5]. It emphasizes activity clusters based on people's resources and vocational skills, as well as market availability. Microfinance has evolved as a method of economic development aimed towards low-income women and men. Micro finance is a development tool, not only a form of banking. Microfinance efforts typically entail.

• Small loans, typically for working capital.
• Informal appraisal of borrowers and investments.
• Collateral substitutes, such as a group guarantees or compulsory savings.
• Access to repeat and larger loans, based on repayment performance.
• Streamlines loan disbursement and monitoring.
• Secure savings product.

Kong G, Kong D, Yang, W, Li, Hi: The impact of Targeted Reserve Requirement Ratio Reduction (TRRRCs) on tax evasion among Small and Micro Companies (SMEs) in China with operational revenues below particular cutoffs is investigated in this study. Using a regression discontinuity methodology, this study proved that TRRRCs minimizes tax avoidance by considerably alleviating financial limitations and cash dependency of SMEs by improving loan availability. This is particularly true for businesses with less market strength and higher entertainment and travel costs. Our data reveal that TRRRCs have a real impact on corporate tax avoidance and that they also have an impact on SMEs. As a result, we uncover an underlying rent-seeking channel in bank lending, with significant policy implications for regulators [6,7].

Yang, H. Li, Kong, G., and Kong, D: This paper explores the substitution effect between formal and informal institutions using a natural experiment in China; the Targeted Reserve Requirement Ratio Cut (TRRRC) policy. For Small and Micro-Enterprises (SMEs) with sales below specific cut-offs, TRRRC presents a severe and long-lasting discontinuity in lending availability. Researchers discovered that SMEs' trade credit is much lower for enterprises with sales below the cut-offs, indicating a banking loan substitution effect on trade credit, using a regression discontinuity approach. Firms with poor product market performance, insufficient mortgage capabilities, a young age, and a bad financial climate have higher rates of failure [8-10].

T.A. Mastoi, Z.A. Mastoi, Z.A. Khetran, Z.A. Alizai, G.H. Baig, B. Khan S.J. M. Shah: Through a survey method, this research study was undertaken to investigate the effect of micro finance in agricultural growth in the district of Jaffarabbad, Balochistan. Eight districts were purposefully chosen using random sample procedures to explore the respondents' eligibility, education, and barriers to receiving a micro finance loan from Zarai Taraqiati Bank Limited (ZTBL). Ten responders were chosen at random from the indicated districts to receive micro finance loans. For the farmers' community, interest rates are excessively expensive and unsatisfactory. The majority of farmers has low levels of education and is unable to complete the necessary paperwork to obtain a loan [11].

Objectives of the study

The study major goal is to learn about emerging research trends in the microfinance business, as well as the issues that microfinance academics are most interested.

Materials and Methods

Sources of data and research methodology

An alternative to the Web of Science is the database Scopus (Elsevier), which launched in 2004, covering over 15,000 peer-reviewed journals the bibiliometric data source in our study was extracted from the Scopus (Elsevier) data base by setting the Web of science Category (WC) to “micro finance” the data was collected from 2000 to 2020. Used tables and graphs and VOS viewer software to analyze the data. From 2017 to 2021 to identify the research areas summative analysis is used (Figure 1).

Bibiliometric analysis of micro-finance

Time of publication: The change in the number of published documents is an essential indicator of a subject field's research progress. It might represent a specific period of time's concentration. Figure 2 depicts the number of journal papers published in the subject of micro finance from 2000 to 2021. The number of research publications has been increasing year after year. The highest papers were published in 2020 [12-14].

Subject area wise

Subject area wise research helps researcher to understand the research attention toward objective of micro finance either poverty reduction or impact of interest rates and default of loan micro finance is viewed as economic development and poverty reduction tool. The highest research of micro finance is done in the economics subject. The economics papers related to micro finance mostly focused on impact of micro finance on poverty reduction. Social science is in second place and business, management is in third place [15,16]. Subject area wise research is shown in Figure 3.

Country wise: Top 10 countries contributing research in micro finance is shown in Figure 4 India is in the first place (22.98%) of doing research in micro finance industry. Malaysia (9.31) is in the third place United States (16.19) is in second place. More than 50%of the research in MF industry is from four countries (India, USA, Malaysia and UK) [17-20].

Results and Discussion

Research type: Most of the research type is articles it’s more than 85.7%. It is shown in diagram. The conference papers are 10.6% (Figures 5 and 6).

A screen shot of the bibiliometric map created based on authorship co authorship overlay visualization mode (Table 1).

Table 1. Summative content analysis.

Findings

• From 2000 onwards the research in micro finance industry is in progressive except in 2015 and 2021. In 2015 and 2021 very less number of research papers were published. Majority of research type in industry is articles type only.
• India is in the first place for publishing the more number of research articles in micro finance.
• From the summative analysis it was observed that highest number of research papers emphasised on women empowerment through Micro finance next followed by agriculture development. Only one paper focusing on non-performing loans in Micro finance industry.

Conclusion

Micro Finance is one of weapon which can be used to reduce poverty. In few of states like Andhra Pradesh micro finance institutions are facing non-performing loans problem. Research trends in micro finance reveals that which area in micro finance need to give attention to do further research. From this study non-performing loans in micro finance, impact of micro finance on agriculture, micro finance and financial inclusion and rural micro finance.

References

1. Gangwar, VP, and Srivastva, SP. "Impact of micro finance in poverty eradication via SHGs: A study of selected districts in U.P. " Int J Adv Sci Technol 29 (2020): 3818-3829.
2. Gelaw, Fekadu. "MFI characteristics and loan preferences of farmers: Household-level evidence from rural Ethiopia." AFBM J 14 (2019): 137-151.

   [Crossref] [Google Scholar]

3. Gomera, William Clifford, Jarkko Suhonen, Markku Tukiainen, and George S Oreku, et al. "Usability evaluation of frugal innovation: A case of mobile training for micro businesses in Tanzania." African J Sci Technol Innov Devel 13 (2021): 133-146.

   [Google Scholar]

4. Majid, M, and Mohd Syechalad. "A dynamic model of non-performing loans of the largest micro-lender in Indonesia." J Appl Econ 13 (2018): 1202-1213.
5. Kashyap, T. Role of micro-finance and self-help groups in women empowerment. Int J Adv Sci Technol 29 (2020): 1411-1416.
6. Khanam, Dilruba, Syeda Sonia Parvin, Muhammad Mohiuddin, and Asadul Hoque, et al. "Financial sustainability of non-governmental microfinance institutions (MFIs): A cost-efficiency analysis of BRAC, ASA, and PROSHIKA from Bangladesh." Rev Econ Finance 12 (2018): 43-56.

   [Google Scholar]

7. Kohl, Sebastian. "Too much mortgage debt? The effect of housing financialization on housing supply and residential capital formation." Socioecon Rev 19 (2021): 413-440.

   [Google Scholar]

8. Lalitha, N, and D Soujanya. "Financial sector Innovations: Empowering Microfinance through the application of KYC Blockchain technology." In 2019 International Conference on Digitization (ICD), 237-243. IEEE, (2019).

   [Crossref] [Google Scholar]

9. Lehner, Judith M, and Alicia Gerscovich. "Contrasting housing microfinance with the social production of habitat in the city of Buenos Aires, Argentina." Int J Hous Policy 21 (2021): 592-611.

   [Crossref] [Google Scholar]

10. Luu, Ngo Tien, and Phan Duy Hung. "Loan Default Prediction Using Artificial Intelligence for the Borrow–Lend Collaboration." In Cooperative Design, Visualization, and Engineering: 18^th International Conference, CDVE 2021, Virtual Event, October 24–27, 2021, Proceedings 18, 256-270. Springer International Publishing, (2021).

    [Crossref] [Google Scholar]

11. Mastoi, Tariq Ali, Zulfiqar Ali Mastoi, Zahoor Ahmed Khetran, and Ghulam Hussain Alizai, et al. "Impact of micro finance on the agricultural development in Balochistan, Pakistan." Sarhad J Agric 37 (2021): 484-491.

    [Google Scholar]

12. Mehta, Atul, and Joysankar Bhattacharya. "Channels of financial sector development and the inequality widening (narrowing) hypothesis–evidence from India." J Financial Econ Policy 12 (2020): 593-608.

    [Crossref] [Google Scholar]

13. Mohiuddin, Muhammad, Mohammad Nurul Huda Mazumder, Abdullah Al Mamun, and Zhan Su, et al. "Evolution of social microenterprises from rural to the urban area: A study on income-generating micro-entrepreneurs in an urban context."  Strateg Change 29 (2020): 435-446.

    [Crossref] [Google Scholar]

14. Mulyati, Etty, and Nun Harieti. "Model of business activities of microfinance institutions in Indonesia." In IOP Conference Series: Earth and Environmental Science, 175. IOP Publishing, (2018).

    [Crossref] [Google Scholar]

15. Nabi, Golzare, Aminul Islam, Rosni Bakar, and Rafiun Nabi. "Islamic microfinance as a tool of financial inclusion in Bangladesh." J Islam Econ Bank Finance 113 (2017): 1-28.
16. Nalukenge, Irene. "Board role performance and compliance with IFRS disclosure requirements among microfinance institutions in Uganda." Int J Law Manag 62 (2020): 47-66.

    [Crossref] [Google Scholar]

17. Nasir, DS, DSN Shajar, and Saba Khan. "Role of Microfinance in Poverty Alleviation with Special Reference to District Aligarh (India)." Int J Adv Sci Technol 28 (2019): 192-204.
18. Nasrin, Shamima, Angathevar Baskaran, and Rajah Rasiah. "Microfinance and savings among the poor: Evidence from Bangladesh microfinance sector." Qual Quant 51 (2017): 1435-1448.

    [Crossref] [Google Scholar]

19. Nayeem, Mohamed Mohideen, and LURL Alikhan. "Agro-development in Musali by using Muzara'ah supply chain model." Int J Econ Res 14 (2017): 127-133.

    [Google Scholar]

20. Nurhasanah, Neneng, Nunung Nurhayati, and Maman Surahman. "Micro finance in sharia rural banks in Indonesia: a case study." Entrepreneurship Sustain 7 (2020): 3455-3463.