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The role of green finance is to develop green industry mechanisms in areas including transportation, building, water preservation, clean energy production, storage, and distribution, which ultimately results in emissions and waste reduction, biodiversity habitat protection, and pollution control. Therefore, recognizing the significance of green finance, this research investigates the asymmetric role of green finance and clean energy in the reduction of carbon emissions along with economic growth, foreign direct investment, and urbanization as control antecedents using the econometric model of “non-linear autoregressive distributed lag (NARDL)” for the period 2000–2020 in ASEAN nations. According to the NARDL outcomes, green finance, and clean energy positive shock enhances the ecological quality and negative shocks harm environmental quality. In addition, economic growth, and urbanization contribute to harmful pollutants. Therefore, the results recommend ASEAN nations’ governments, environmentalists, and policymakers, devise strong financial mechanisms, and develop long-term green investment strategies to attract green finance and investment opportunities to bridge the gap in clean energy.

Purpose This study aims to assess how real income, oil prices and gold prices affect housing prices in China from 2010 to 2021. Design/methodology/approach This study uses a novel bootstrap autoregressive distributed lag (ARDL) testing to empirically analyze the short and long links among the tested variables. Findings The ARDL estimations demonstrate a positive impact of oil price shocks and real income on housing market prices in both the phrases of the short and long run. Furthermore, the results reveal that gold price shocks negatively affect housing prices both in the short and long run. The result can be attributed to China’s housing market and advanced infrastructure, resulting in a drop in housing prices as gold prices increase. Additionally, the prediction of housing market prices will provide a base and direction for housing market investors to forecast housing prices and avoid losses. Originality/value To the best of the authors’ knowledge, this is the first attempt to analyze the effect of gold price shocks on housing market prices in China.