Determinants of Productivity and Profitability of Indian Banking Sector: A Comparative Study

Narwal, Karam Pal; Pathneja, Shweta

doi:10.17015/ejbe.2015.016.03

Cited by 12 publications

(8 citation statements)

References 42 publications

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“…Therefore, the higher the net interest margin, the more efficient banks are thus productivity may increase. Narwal and Pathneja (2015) pointed out the diversification of activities was more essential to productivity than net interest margin which stated that diversification and net interest margin may lead the banks towards more productivity.…”

Section: Productivitymentioning

confidence: 99%

Reciprocity Between Productivity and Credit Growth in Vietnam’s Co-operatives Credit Institutions

2020

RWE

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Co-operative credit institutions (CCIs) play an important role for achieving the national mission of financial inclusion. Therefore, we should be taking a wider view of productivity and credit and assessing productivity and credit growth. These are factors affecting the CCIs' operations and goals. This study used the panel data regression method with research data from thirty-two selected CCIs in Vietnam from 2013 to 2018. This study’s purpose to discover the reciprocity relationship productivity and credit growth in Vietnam's CCIs. By assessing the factors affecting the productivity and credit growth, the research results have determined the bidirectional interactions and causal relationships between productivity and credit growth. Based on the findings the study offers policy implication and new insights for developing a more sustainable CCIs and further emphasizes optimal policies to CCIs management that helps the policy-makers, CCIs managers and executives in improving the overall productivity, and the credit growth of CCIs going forward.

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Section: Productivitymentioning

confidence: 99%

Reciprocity Between Productivity and Credit Growth in Vietnam’s Co-operatives Credit Institutions

2020

RWE

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“…Stochastic frontier production function approach (SFPFA) and data envelopment analysis (DEA) are the two main techniques which can be used to estimate the technical efficiency (TE) of firms/industries and other sectors of the economy (Aigner, Lovell & Schmidt, 1977;Meeusen & Van den Broeck, 1977;Chavas & Aliber, 1993;Kumbhakar & Lovell, 2003;Rajesh, 2007;Faruq & Yi, 2010;Akpan et al, 2012;Pattnayak & Chadha, 2013;Kumar & Arora, 2012;Hamjah, 2014;Zhou, 2014;Mahajan, Nauriyal & Singh, 2014;Debnath & Sabastian, 2014;Bhatia & Mahendru, 2015;Munisamy, Fon & Khin, 2015;Sahu, 2015;Ng'ombe & Kalinda, 2015;Narwal & Pathneja, 2015;Ikram, Su & Sadiq, 2016); Okoye et al, 2016;Kea, Li & Pich, 2016;Vu, 2016;Fahmy-Abdullah et al, 2017;Gebresilassie, & Nyatanga, 2017;Singh, Narayanan & Sharma, 2018;Singh, Narayanan & Sharma, 2019). Efficiency is defined as the best allocation of resources to achieve the highest level of output (Bhatia & Mahendru, 2015).…”

Section: Theoretical Framework Of Stochastic Frontier Production Funcmentioning

confidence: 99%

“…It observes that TE of foreign firms in five industries (i.e., chemical, machinery, electronics industry, and transport) are appeared higher than Indian firms. Narwal and Pathneja (2015) have assessed the productivity and profitability of the banking system in India using the DEA method. It witnessed that private sector banks have more productivity than public sector banks.…”

Section: Review Of Existing Literaturementioning

confidence: 99%

Estimating Factors Affecting Technical Efficiency in Indian Manufacturing Sector

Singh

Ashraf

Arya

2019

EJBE

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Existing studies could not estimate the technical efficiency (TE) of firms and it's affecting factors in the Indian manufacturing sector. So, the present study examines the TE of firms using a stochastic frontier production function approach. Thereupon, it examines the impact of S&T and IPRs related factors on estimated TE of firms using a linear regression model. Estimated values of TE of firms show that most firms have a TE of 94%; thus, firms are efficient in producing surplus production in the manufacturing sector. It is acclaimed that firms can improve production scale using more technological upgradation and advancement. Furthermore, empirical results indicate that process innovations of firms, quality certification of firm, firm acquired process/product patents, in-house R&D expertise of firms, public-technology support institutions of firms, proficiency to improve processes of firms, new or improved products of firms, waste management capabilities of firms, and skilled workforce of firms are appeared effective activities to increase the TE of firms. It is proposed that there is a requirement to increase R&D expenditure, a collaboration of industries with research academia, incentive to researchers and scientists to do extensive research in emerging sectors of technologies and appropriate financial support to firms to boost the growth of Indian manufacturing sector.

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“…Furthermore, within the framework of regulations and supervision, they pointed out that competition is effective in converging the profits to the equilibrium point in the long run. Narwal and Pathneja (2015) analyzed the determinants of Indian's banks profitability during 2003-2014. Fixed effects panel data results showed that both diversification and spread were positively related too banks' profitability.…”

Section: Literaturementioning

confidence: 99%

Banking Regulation and Determinants of Banks’ Profits: Empirical Evidence from Turkey

Erdoğan

Aksoy

2016

EJBE

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Determinants of Productivity and Profitability of Indian Banking Sector: A Comparative Study

Cited by 12 publications

References 42 publications

Reciprocity Between Productivity and Credit Growth in Vietnam’s Co-operatives Credit Institutions

Reciprocity Between Productivity and Credit Growth in Vietnam’s Co-operatives Credit Institutions

Estimating Factors Affecting Technical Efficiency in Indian Manufacturing Sector

Banking Regulation and Determinants of Banks’ Profits: Empirical Evidence from Turkey

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