Avoiding the crowding-out of prosocial motivation in microfinance

Does the Staff Bonus Fund Decrease the Net Profit? Empirical Insights from Nepalese Commercial Banks

“…The standardized coefficient of staff bonuses is 0.417, which indicates that a one-unit increase in staff bonuses is associated with a 0.417 unit increase in the net profit of commercial banks in Nepal. The same type of conclusion was derived by Budathoki and Rai (2018), Molyneux (1993), Ojeleye (2017), andPril andGodfroid (2019) in their studies. There is a negative impact of non-performing loans on determining the net profit.…”

“…Ojeleye (2017) observed the positive relationship between commercial banks' net profit and remuneration and employees' performance and that salary/wages and bonuses/incentives also motivate employees. Pril and Godfroid (2020) found a positive impact on the financial performance of microfinance companies.…”

Microfinance: A bibliometric exploration of the knowledge landscape

“…Efficiency in microfinance is typically assessed through operational and financial indicators, such as the operational self-sufficiency (OSS) ratio, measuring an MFI's capacity to cover costs with operating income [ 4 , 5 , 69 , 70 ]. Social metrics, like the number of active borrowers and outreach depth to impoverished clients, also play a significant role in performance evaluation [ [71] , [72] , [73] ]. Research by Mersland and Strom [ 14 ], Mcintosh and Wydick [ 74 ], and Copestake [ 75 ] underscores the critical balance between achieving financial sustainability and maintaining the social mission, cautioning against mission drift due to excessive focus on financial performance [ 76 ].…”

How to play the role of fiscal subsidies? Based on the research of photovoltaic industry in China——Based on SBM-DEA and FGLS methods

“…However, based on the theory of industrial development and life cycle, industries and enterprises face different challenges and demands at different stages of development. As a policy tool, fiscal support has different impacts on industries and enterprises at different stages of development, and even has a crowding-out effect [ 39 , 40 ]. Therefore, for different parts of the PV industry chain, namely the front-end (such as mining, primary processing) and the back-end (such as deep processing, application and R&D), because of their significant attribute differences in technology complexity, capital intensity, environmental impact and market maturity, the role and form of fiscal compensation will also be different.…”