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The purpose of this study was to systematically analyze green finance in all of its forms, instruments, and measurements.
#FOSTERING FINANCES HOW TO#
However, whether green financing is effective in addressing current global environmental issues remains to be seen since the green investment gap has been discovered to be rather sizable, with no certainty regarding how to fill it. Recently, green financing has become a popular technique for dealing with environmental This paper suggests that China’s green credit policy should pay more attention to the technological innovation, transformation, and upgrading of firms in pollution-intensive industries. The results revealed that GCG fails to promote the technological innovation of firms in pollution-intensive industries. Further research showed that GCG reduced the long-term debt of firms in pollution-intensive industries, and then significantly decreased the R&D input and innovation output that is, long-term debt is a mediator in GCG and technology innovation. The empirical results indicated that GCG had a negative impact, not only on research and development (R&D) input, but also on innovation output, and the impacts on firms with different property rights and different scales were consistent. Using the difference-in-difference approach model, this paper investigated the impact of the Green Credit Guidance (GCG) policy implemented by the Chinese government in 2012 on the technological innovation of firms in pollution-intensive industries. How to promote technological innovation with green finance policy has been a focal topic in the global green finance field in recent years. The finding suggests that banks must invest more in green projects. This study contributes to the existing literature in green financing by filling the gap, particularly for developing countries through empirical evidence. Further, the findings also provides useful information to managers who look for grow their business loan and minimize default risk. The results revealed that green loans are a less risky investments. We applied Two-stage Least Square Regression Analysis for data analysis.
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A panel design dataset was collected which consists of green financing data for the period 2009 to 2015 from 24 banks operating in Pakistan. Therefore this research aims to know how this financing gap can be minimized. However, the availability of green loan remains the important case. Consequently, to reduce carbon emission financial institutions offer green financing to businesses to mitigate this issue. In 21 century the climate change has become an important issues for businesses as well as stockholders.