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.

Purpose Using cross-sectional household survey data, this paper aims to determine the impact of food price increases on poverty in Indonesia. Design/methodology/approach This paper uses the quadratic almost ideal demand system applied to the 2013 Indonesian household survey data. The impact of food price increase on household welfare is calculated using a welfare measure, compensating variation. Findings Three food groups with the most outstanding price impact on poverty, rice, vegetables and fish, were studied. The 20% increase in the price of each food group causes an increase in the headcount ratio by 1.360 points (rice), 0.737 points (vegetables) and 0.636 points (fish). Maintaining food price stability for these food groups is very important because the more the price increases, the more the impact on poverty. Food price policies in rural areas are also more critical than in urban areas because the impact of food price increases in rural areas is higher. Research limitations/implications This paper does not consider the positive impact of rising food prices on food-producing households. Practical implications Implementing appropriate poverty alleviation policies through food policies for main food groups and social protection. Social implications Promoting rural development policies and agricultural growth. Originality/value This paper contributes to the existing literature by providing empirical results regarding the impact of domestic food prices increase on poverty in Indonesia.

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.

Floriculture is an important agricultural sector of Lam Dong province and Ho Chi Minh City, Vietnam. The favorable climate conditions of Lam Dong province have led to the strong development of the floriculture sector, while high demand due to lifestyle changes in Ho Chi Minh City promises a potential market for the cut orchid industry. The adoption of modern technology is vitally important for small-scale producers, because it not only improves the quality but also increases the yield of flower production. However, very little research has been conducted on the adoption of technology in the floriculture industry at the farm level. A sample of 228 producers was therefore collected in Lam Dong province and Ho Chi Minh City in 2018 to investigate the current status of, and influential factors for, technology adoption by floriculture producers in the South of Vietnam. Conditional mixed-process probit models were applied to examine decisions on the adoption of technologies associated with greenhouse, irrigation and seedlings in floriculture. The results reveal that farmers have strong preferences in terms of modern floriculture technologies and that demographic characteristics such as gender, age, education and income, as well as farm size, learning process, farmers’ perception of technology and market information are the key determinants of technology adoption in floriculture

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