Purpose
Given the importance of green finance in a discussion of energy efficiency and clean energy, it is critical to evaluate its implications for the growth of renewable energy. This study examines the impact of green finance on renewable energy development in Singapore.
Design/methodology/approach
The dynamic ordinary least squares (DOLS) regression was used in this work to test such a connection.
Findings
Using the DOLS for the period 2000–2020, it was discovered that green finance aids renewable energy development in Singapore. Additionally, the findings revealed that economic growth, oil prices, energy consumption, carbon dioxide emissions and institutional factors are all positively associated with renewable energy growth, resulting in a boost in renewable energy development.
Research limitations/implications
Hence, as a result, the monetary authorities of Singapore, such as financial institutions, non-governmental organisations and corporations, should prioritise renewable energy projects under green finance initiatives to boost renewable energy growth. This may assist in raising investment flows to green projects; hence, accelerating the adoption of renewable energy.
Originality/value
Increased Singapore's initiatives to accelerate green finance have prompted this study to examine the research question of whether green finance has a significant impact on renewable energy growth. Thus, to the best of the authors’ knowledge, this will be the first empirical study to explore the impact of green finance on renewable energy growth in the case of Singapore.
Keywords
Green finance, Renewable energy development, Singapore, OLS
2021, Journal of Asian Business and Economic Studies
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Abstract
Purpose
In the developing countries, formal credit has dominant role for the development of agriculture sector. It increases the farmer's purchasing power for better farm inputs and agricultural technology for high crop productivity. The main purpose of this study is to examine the influence of socioeconomic characteristics of smallholder farmers for credit demand in Sindh, Pakistan.
Design/methodology/approach
A cross-sectional data set randomly collected from 90 smallholder farmers in Thatta district, Sindh, Pakistan, is examined. Descriptive statistics, correlation and the OLS regression method were used to demonstrate the important factors affecting the demand for formal credit.
Findings
The results revealed that formal education, experience of farming, landholding size, road access and extension contacts positively and significantly influenced the demand for formal credit.
Originality/value
This study is the first, to the best of authors' knowledge, to demonstrate the influence of various socioeconomic characteristics of smallholder farmers on demand for formal credit in Sindh, Pakistan. It also illustrates the imperative contribution to the literature regarding credit access and demand to improve the agricultural productivity.
2021, Journal of Asian Business and Economic Studies
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Abstract
Purpose
The key objectives of this study were to investigate the interactions among the lean, green management practices and organizational sustainable performance measures and explore the possibility of simultaneous implementation of these concepts for improving the organizational sustainable performance.
Design/methodology/approach
Using the interpretive structural modeling (ISM) technique, the interactions among the lean, green practices and organizational sustainable performance measures were established. A focus group which consisted of purposively selected 15 experts was utilized in the primary data collection.
Findings
In Sri Lankan context, water and material consumption reduction, energy efficiency, water pollution and greenhouse gas reduction were identified as the dominant green practices, while pull production, lot size reduction, continuous improvement, preventive maintenance, employee involvement and cycle time reduction were the dominant lean practices. Inventory level, profitability, quality, cost, employee satisfaction, customer satisfaction, lead time, resources consumption (material, water, energy) and waste generation were determined as the dominant sustainable performance measures. The resulting ISM-based structural model which consisted of eight levels concluded that firstly lean practices influence the green practices and afterward green practices affect the sustainable performance measures.
Research limitations/implications
The aim of this study was to develop a hypothetical structural model to explain the interactions among the lean, green management practices and organizational sustainable performance measures. But this hypothetical model was not empirically tested in the current study. So further study is required to empirically test the proposed model.
Practical implications
Currently organizations who practice for sustainable performance engages, lean and green practices separately without understanding on which practices are stared when and how. So, through the findings of this study, organization who desire to improve the sustainable performance are recommended to begin the journey with lean practices and subsequently move in to green and handle both lean and green initiatives through one functional unit.
Originality/value
The existing literature does not possess a model for explaining the lean–green synergy and organizational sustainable performance and this study successfully fills this gap. Also the study proposes for the practitioners, when and how the lean and green practices should be initiated and implemented for rising the sustainable performance of an organization.