The non-banking financial institutions in perspective of economic growth of Pakistan

Khowaja, Imdad Ali; Talpur, Urooj; Soomro, Sikander Hussain; Khan, Muhammad Shoaib

doi:10.1080/13504851.2020.1771266

Cited by 13 publications

(6 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Non-banking financial institutions play a critical role in any economy. They are a primary funding source for micro, small, and medium enterprises, particularly those shunned by PCBs and SOBAs (Khowaja et al 2021). However, NBFIs can introduce excessive risk levels in the financial industry and the general economy (Liang and Reichert 2012).…”

Section: Methodsmentioning

confidence: 99%

Financial Institution Type and Firm-Related Attributes as Determinants of Loan Amounts

Mallinguh¹,

Zéman²

2022

JRFM

View full text Add to dashboard Cite

Access to formal credit remains critical for business operations, particularly for firms unable to generate sufficient funds internally. Using the World Bank’s Enterprise Survey dataset, 2018, we analyzed 230 Kenyan firms that applied for loans. These loans are sourced from banks (private, commercial, or state-owned) or non-banking financial institutions. Specifically, the paper explores the effect of financial institution type and firm-related characteristics on loan amounts advanced. The results show that the preferred credit provider matters, with the sensitivity level varying among the three institutional types. Additionally, the collateralization value, the owner’s equity proportion of fixed assets, and any existing credit facility correlate positively with the outcome variable. There is an inverse relationship between the largest shareholder’s ownership and the loan amount. The study uses the new product (service) launches to measure innovation. The findings suggest that firms in the innovation process access higher loan amounts than their non-innovative peers. Be that as it may, the difference in amount effect size between the two groups is small based on Cohen’s d rule. The paper highlights the theoretical and practical implications of these findings.

show abstract

Section: Methodsmentioning

confidence: 99%

Financial Institution Type and Firm-Related Attributes as Determinants of Loan Amounts

Mallinguh¹,

Zéman²

2022

JRFM

View full text Add to dashboard Cite

show abstract

“…The inverse U-shaped connection among financial inclusion and carbon emissions was examined by Díaz et al [ 59 ] using a panel of 103 nations. Validation of the EKC from 1990 to 2017 was carried out by Khowaja et al [ 60 ] across various South Asian nations. It appears that economic growth reduces CO 2 emissions in the long run, even while it increases emissions in the short term.…”

Section: Section 2: Literature Reviewmentioning

confidence: 99%

Exploring the impact of climate technology, financial inclusion and renewable energy on ecological footprint: Evidence from top polluted economies

Wang,

Ye,

Lin

et al. 2024

PLoS ONE

View full text Add to dashboard Cite

Most South Asian countries’ economies have grown dramatically during the past few decades. However, in light of their environmental sustainability goals, the quality of such growth performances by South Asian nations is called into doubt by the concurrent degradation in environmental quality. Consequently, reducing the environmental challenges these nations encounter is prioritized on the agendas of the relevant authorities. This study aimed to analyze the effect of the top 11 most polluted countries’ levels of financial inclusion, technological innovation, consumption of renewable energy, and adoption of climate technology on environmental deterioration from 2000 to 2022. Therefore, this research aims to use cutting-edge panel data econometric techniques to investigate the factors contributing to high carbon footprints in the world’s most polluted nations. The results support an inverted U-shaped relationship between economic growth and carbon footprints, crediting the environmental Kuznets curve concept. In addition, it has been shown that TECH, REC, and CT can reduce carbon footprints in both the short and long term, while GDP and financial inclusion only affect carbon footprints in the long term. The results further endorsed the pollution haven hypothesis by showing that GDP positively affects carbon footprint. As a result, leading polluting economies need to strengthen their financial sectors, create green technology, migrate to renewable energy, and limit financial inclusion to improve environmental quality.

show abstract

“…NBFLIs significantly funds for underserved markets, including micro, SME businesses and the agriculture sector, with a view to the potential financial development of several countries around the world (Khowaja et al 2020).…”

Section: Role Of Non-bank Finance and Leasing Companiesmentioning

confidence: 99%

Determinants of Saving Decision on Fixed Deposits in Non-Bank Finance and Leasing Institutions in Sri Lanka

Dharmawansa

Madhuwanthi²

2023

IJFBS

View full text Add to dashboard Cite

The objective of this article is to identify the determinants of saving decisions on fixed deposits. The effect of customers' prior experience with Non-Bank Finance & Leasing Institutions (NBFLI) has been investigated as a mediation factor. Structural Equation Modelling (SEM) in AMOS has been used to analyze the results and confirmed the results by using the bootstrap technique of SEM. The results show that the stability of the NBFLIs, security for the fund, interest rate of the fixed deposits, and quality and reliability of the service directly affect the decision to save fixed deposits. The institution's geographical location has not directly affected the decision on fixed deposits. The factors of the security, interest rate, quality, and reliability of the service have an indirect effect on the decision of saving fixed deposits with prior experience, except for the factor of stability of the institutions.

show abstract

The non-banking financial institutions in perspective of economic growth of Pakistan

Cited by 13 publications

References 2 publications

Financial Institution Type and Firm-Related Attributes as Determinants of Loan Amounts

Financial Institution Type and Firm-Related Attributes as Determinants of Loan Amounts

Exploring the impact of climate technology, financial inclusion and renewable energy on ecological footprint: Evidence from top polluted economies

Determinants of Saving Decision on Fixed Deposits in Non-Bank Finance and Leasing Institutions in Sri Lanka

Contact Info

Product

Resources

About