查看更多>>摘要：? 2022Sustainable development goals (SDG) achievement is a major challenge for the nations. Particularly, SDGs related to environmental sustainability and economic sustainability are most challenging due to high pollution. Thus, the study's aim is to examine the role of green finance in SDGs through Village Funds in Indonesia. A survey questionnaire is designed for this purpose to examine the effect of green finance on environmental sustainability and economic sustainability. Data is collected from the Indonesian government officials working on Fund Village and officers involved in the distribution of Fund Village, and 220 valid responses were used in this study for data analysis. The smart-PLS has been used in the study to check the association and test the hypotheses. The results indicated that green finance has vital importance in achieving SDGs in terms of environmental sustainability and economic sustainability. It is found that; green finance can promote green technology innovation and green micro-enterprise, which further lead to achieve SDGs through environmental sustainability and economic sustainability.
查看更多>>摘要：? 2022 Elsevier LtdNatural resources and economic performance have been under discussion for the last three decades. Still, the picture is not clear due to the contradictory arguments of scholars and researchers. To end this debate, the current study investigates the association between natural resources and the economic performance of Brazil, Russia, India, China, and South Africa (BRICS) over the 1990–2020 period. Also, the role of economic risk, renewable energy consumption, and technological innovation has been investigated. The empirical estimates validate the panel's slope heterogeneity and cross-sectional dependence, which leads to adopting the second-generation unit root test. Using panel quantile regression, the findings unveil that natural resources are a blessing for the selected economies. Also, renewable energy consumption and technological innovation are significant contributors to economic growth. Besides, the magnitude of natural resources and the renewable energy consumption is found to significantly increase from lower quantile (Q0.25) to medium (Q0.50) and higher quantiles (Q0.75). Conversely, the magnitude of technological innovation decreases while moving from lower to higher quantiles. The empirical findings are robust, as reported by dynamic ordinary least squares. Moreover, the causal association between economic performance and technological innovation is found bidirectional. However, a unidirectional causality has been observed from natural resources, renewable energy consumption, and economic risk to economic growth. This study recommends the efficient utilization of natural resources, investment in renewable energy sources, and research and development for technological advancement.
查看更多>>摘要：? 2022Currently, the prices of natural resource commodities are considered as the foremost factor influencing stock market indices, which has attracted the attention of researchers and regulators. Most of the past studies have thrown light on the collective term of natural resources prices without the analysis of individual commodities while determining stock market prices. Therefore, the present study examines the impact of individual natural resources commodities indexes (crude oil, precious metals, livestock, and agriculture products) on the stock market indices in China. Quantitative methods and explored secondary sources such as databases of the Shanghai Stock Exchange and the Goldman Sachs Commodity Index (GSCI) were used. The secondary data from the mentioned databases were extracted from 2001 to 2019. The correlation matrix was used to analyze the correlation among the variables and executed the Augmented Dickey-Fuller (ADF) test to examine the unit root among the variables. The autoregressive distributed lag (ARDL) model was also utilized to test the relationships and execute the granger causality test to check the casualty nexus among the constructs. The findings revealed that natural resources commodities indexes (crude oil, precious metals, livestock, and agriculture products) have a positive linkage with stock market indices in China. This article provides a guideline to policymakers while developing regulations related to the natural resources and stock market indices.
查看更多>>摘要：? 2022The growing concerns regarding natural resources volatility (TNR) and CO2 emissions in relation to economic performance attract the attention of scholars and policy-makers. In this regard, the current study investigated both TNR and CO2 along with the political risk index (PRI) in the case of China. The study used a novel approach, Quantile-on-Quantile regression methods, to capture the influence of each variable at different quantiles covering the period from 1988 to 2020. The examined results revealed that TNR, PRI, and CO2 emissions are positively but weakly associated with economic performance in China. The nexus is found weaker regarding the magnitude at lower quantiles while stronger at upper quantiles. Moreover, the frequency domain causality suggests that TNR significantly causes economic performance in the medium and the long run. At the same time, PRI is found to significantly cause economic performance in the long run only. In contrast, CO2 emissions are found to significantly cause economic performance in the short-run, medium-run, and long-run. Based on the empirical findings, the current study recommends policies to minimize volatility in natural resources, strengthen political and financial sectors, improve institutional quality, and efficient use of fossil fuels to promote economic performance while reducing environmental hazards.
查看更多>>摘要：? 2022 Elsevier LtdNatural resources are considered as one of the most important factors stimulating the economic growth and development of countries. The studies concerning the relationship between the abundance of resources and economic growth, namely the resource curse, are increasing day by day and have produced conflicting results, either accepting, rejecting, or partially accepting the existence of the curse. Since the last decade, cobalt chemicals demand has radically increased because of the usage of Li-ion batteries in consumer electronics and electric vehicles. Due to the increasing importance of cobalt as a resource, this study takes an attempt to explore the resource curse hypothesis for cobalt for Australia, Canada, the Democratic Republic of Congo, Cuba, Morocco, Russia, and South Africa over the period of 2000–2018. The study employs second-generation panel data techniques in order to account for the dependency in the cross-sectional units and parameter heterogeneity. The findings of the study show that while the Democratic Republic of Congo exhibits evidence of the resource curse hypothesis for cobalt resource abundance, Canada, Cuba, and Russia reveal a positive relationship between economic growth and cobalt resource availability. For the whole panel, this study fails to find any evidence of the resource curse hypothesis in terms of Cobalt. Based on the findings, several policy implications are provided.
查看更多>>摘要：? 2022 Elsevier LtdChanges in the economic structure and human lifestyle lead to environmental pollution, one of today's prime challenges. With this in mind, the main objectives of this study are to evaluate the impacts of economic complexity, natural resources, renewable energy consumption, and foreign direct investment on the ecological footprint in weak, medium, and high levels of institutional quality countries from 1995 to 2017, according to with data availability. This study is probably one of the first studies to examine the effect of the economic complexity on ecological footprint and classify countries based on their institutional quality levels. Furthermore, the interaction of economic complexity and natural resource rents is considered as a new variable. For this purpose, the panel vector autoregressive model is used. The results revealed that economic complexity in all countries has a positive impact on ecological footprint, and also it has the greatest impact on ecological footprint among the considered variables. Conversely, the interaction of economic complexity and natural resources contributes to environmental quality. Notably, the impacts of study variables on ecological footprint vary in countries with different levels of institutional quality. According to the study's outcomes, the main recommendation is the R&D activities improvement to develop eco-friendly technologies and clean energy infrastructure, and transition to a clean industry pattern, which helps to improve environmental quality. Meanwhile, more strategic policies are recommended to policymakers based on the institutional quality levels of countries.
查看更多>>摘要：? 2022 Elsevier LtdThe fluctuations in global policy affect the volatility of international crude oil markets. It is quite meaningful to analyze the impact of policy uncertainty on crude oil market volatility from a global integration perspective in deep. This paper aims to examine whether the global uncertainty of economic policy (GEPU) and the uncertainty of uncertainty (GEPU change) have different impacts on crude oil futures volatility. We establish two types of models under the GARCH-MIDAS framework, single-factor model and two-factor model, for discussing their explanatory and predictive power when considering the historical realized volatility. The findings show the GEPU index and its changes are consistent effective predictive factors in volatility of crude oil futures market when only individual effect is considered. Specially, GEPU change has stronger predictive power than GEPU index. Furthermore, the two-factor model with GEPU change contains more information which holds stronger forecasting ability in crude oil futures market volatility. However, GEPU cannot be an effective forecast factor when taking the influence of realized volatility into account.
查看更多>>摘要：? 2022 Elsevier LtdA common narrative is that growth based on fossil-fuel-based energy source is not as ecologically benign as non-renewable energy. Green energy promotes economic growth in a more environmentally friendly manner. This paper examines the relationship between economic growth and electricity production by public and private power plants in Asia. The development of more private power plants is expected to allow the energy sector to drive greater economic growth. Threshold estimation is used to analyze the relationships between the variables. We employ oil price as the threshold variable. Our sample covers eight selected Asia countries, grouped into ASEAN and non-ASEAN countries. We conclude that the public power plants are driving more economic growth when the oil price is high (oil price > USD 37.89). On the other hand, the private power plants are performing well in triggering economic growth when the oil price is low (oil price < USD 37.89). We recommend that the government improve the efficiency of the grid's transmission system that aims to reduce the transmission and distribution loss. We also recommend the government to offer various incentives to encourage the construction of more private power plants to increase the electricity supply.
查看更多>>摘要：? 2022 The AuthorsThe concept of the 4th industrial revolution is becoming a strategic determinant of sustainability, success and competitiveness in the modern mining sector. The importance of digital transformation in the mining industry has long been debated, hampered in part by the conservative nature of the mining sector. Much of the debate has focused on choosing suitable mining techniques that provide acceptable levels of ore/waste selectivity, the scale of implementation, cost reduction and suitable metallurgical extraction techniques. The purpose of this review is to give an overview of the digital transformation of the minerals and extractive industry with a focus towards energy efficiency and environmental sustainability. We address: (a) geological elements that influence the level of selectivity during mining, and technologies that deal with waste rejection; (b) eco-friendly techniques, such as tunnel-boring machines, or the use of non-explosive techniques that can assist fragmentation of ores, thereby decreasing energy requirements during mineral processing and improving mineral recovery; (c) use of low-water-consumption automated ore-waste sorting systems; (d) selective metal leaching using coarse particle percolation as an alternate method for treating complicated low-grade ores; and (e) assessing new technological boundaries for the mineral sector. A combination of these aforementioned processes will significantly reduce mining waste. Orebody features, mining methods and equipment, desired scales of implementation, alignment with circular strategies, ore extraction efficiency, and socio-economic factors all play a role in the development and implementation of new technologies and techniques.
查看更多>>摘要：? 2022 Elsevier LtdThis paper explores the predictability of China's crude oil futures volatility by considering other energy futures volatilities. Empirical results show that other energy futures volatilities can provide useful information for forecasting crude oil futures volatility both in- and out-of-sample. To further dig out predictive information from other energy futures volatilities, we employ forecast combinations and shrinkage methods. Corresponding results suggest that both forecast combinations and shrinkage methods make full use of information from other energy futures volatilities and generate more accurate forecasts of crude oil futures volatility. Furthermore, shrinkage methods have better forecasting performance than forecast combinations. Finally, the superior performance of shrinkage methods stems from their ability to accurately select other energy futures volatilities with strong predictive power.
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