查看更多>>摘要：? 2022 Elsevier LtdWe investigate the sensitivity of world mining stocks to precious and industrial metals by adding a metal factor to the CAPM and Fama-French models. We find that metals are fundamental in explaining mining stocks' returns and more influential than Fama-French factors. We also find that metals are more significant for stocks of precious than industrial metals and the effect is stronger for firms domiciled in developed markets. The market factor is more relevant for stocks of industrial metals. Our results suggest that investors should treat mining stocks differently and need to distinguish between precious and industrial metals.
查看更多>>摘要：? 2022 Elsevier LtdChina is the largest potassic fertilizer user, but with very limited potassium reserve. This study aims to present an accurate and dynamic potassium inventory from a life cycle perspective. The spatiotemporal features of the main anthropogenic potassium flows and stocks are uncovered by applying substance flow analysis (SFA). Results show that China's potassium demand had doubled and domestic extraction of potassium resources had increased by 44%, from 2.89 Mt in 2010 to 4.15 Mt in 2019, due to the increasing population and rapid agricultural development. In terms of potassium usage, regional disparity existed and the overall usage efficiency was low. A total of 63.18 megatons (Mt) potassium was discharged into local environment as wastes, and a surplus of 24.89 Mt potassium was kept in soil as stock during the study period. Scenarios analysis results show that the total potassium demand will reach 9.56 Mt, 10.34 Mt, 11.32 Mt, 9.09 Mt, and 9.80 Mt under SSP1, SSP2, SSP3, SSP4 and SSP5 scenarios, respectively. Such findings indicate that China's potassium reserve will be quickly depleted. Based upon these findings, several policy recommendations are raised, including sustainable potassium resource supply, the recycling of potassium resources, and advanced technologies to further improve potassium resource efficiency.
查看更多>>摘要：? 2022 Elsevier LtdA key channel for innovation in the mining industry is the acquisition of technologies integrated into the equipment, services and inputs of suppliers. This article looks at several aspects of the innovation process in the mining industry on the basis of over 200,000 patented inventions filed by businesses, individuals, research centers, and educational institutions during 1970–2015. The main theme of study is the influence of mineral prices, mineral rents, and overall innovative performance on sectorial and technological innovation, timing and intensity of inventions in mining technologies. The evidence shows that long-term mineral prices and overall innovative performance are key drivers. Exposure to mineral rents may sometimes delay the adjustment of certain mining technologies to new market conditions, suggesting that countries specialized in mining may innovate more slowly. Furthermore, the evidence shows that the average inventive productivity of patent applicants is positively associated with the quality of inventions, the length of time applicants have patented (i.e., experience), and long-term mineral prices.
查看更多>>摘要：? 2022 Elsevier LtdTo achieve effective resources conservation mechanism and efficient waste management system, recent studies more focused on converting the waste into useful resources in different applications. Construction sector is one of the key sector for development and consumes high quantity of resources, hence, to tackle the high consumption, studies started to introduce waste materials (for ex: fly ash) as replacement of conventional building materials. Such waste material inclusion becomes very popular in concrete applications. However, some of the waste material do have the potential to be a better replacement of conventional concrete materials, which are limited in the existing studies, especially mining waste. This study focused on this gap, by introducing mining waste as potential replacement material in concrete applications, in specific to self-compacting concrete. This step will move forward the existing construction sector towards sustainability by adopting sustainable construction concepts. Despite of these significances, there are very smaller number of studies are reported with the application of mining waste in self compacting concrete. This study focused on this issue by analyzing the existing challenges involved in the inclusion of mining waste in self compacting concrete applications. A numerical modelling has been included in the study to understand and analyze the interrelationship and interdependencies among the collected challenges. With the results of the study, the challenges for sustainable construction through the inclusion of mining waste in self compacting concrete can be eliminated.
查看更多>>摘要：? 2022 Elsevier LtdNumerous resource-based cities (RBC) in China are facing tremendous pressure on industrial transformation, while the large-scale construction and operation of high-speed rail (HSR) may alleviate the resource dependence of RBC by weakening regional market segmentation. On this basis, a quasi-natural experiment is conducted in 282 prefecture-level cities in China from 2003 to 2018 to verify the theoretical hypothesis. We get the following results: (1) the opening of high-speed rail has reduced the employment ratio of mining industries in resource-based cities by 2.0%, and the dependence on natural resources by 27.74%. (2) The opening of high-speed rail mainly promotes the transformation of resource-based cities from the mining industry to the tertiary industry, inducing employment ratio in the tertiary industry rises by 2.8%. (3) The heterogeneity tests suggest the central region and mature resource-based cities are the most susceptible, followed by the eastern region and declining resource-based cities. (4) Further mechanism tests hint that promoting individual employment and attracting foreign investment are the potential ways for the industrial transformation. Moreover, the opening of high-speed rail can reduce environmental pollution and energy consumption in resource-based cities. This work sheds light on the new strategy of resource-based cities' industrial transformation and enriches the research on high-speed rail and industrial transformation.
查看更多>>摘要：? 2022 Elsevier LtdThis research aimed to analyze the impact of financial development on environmental sustainability. Data was collected for 34 countries in Europe, covering the period from 2000 to 2020. Data analysis was conducted using the Feasible Generalised Least Squares (FGLS) model, a random-effects model (specified by the Hausman test), and the Generalised Method of Moments (GMM) approach. It was found that lending rates are negatively related to CO2 emissions per capita, total CO2, and CO2 by the transport industry. It was also found that bank credit to the private sector increases total CO2 emissions and CO2 emissions from the power and transport industries. This study found that domestic credit to the private sector increases total CO2 emissions. An important implication of these results is that borrowers should be selected and monitored using more stringent criteria to ensure compliance with environmental requirements. This study has made multiple contributions. It has extended knowledge about how the financial sector impacts the environment. It has used two models that can handle issues of collinearity and heteroscedasticity. Its findings are useful for understanding the financial development-environmental health association in this unique COVID-19 pandemic context.
查看更多>>摘要：? 2022Currently, natural resource price volatility has become an international issue because it creates economic instability and this phenomenon needs attention from researchers and regulators. Therefore, the current study aims to examine the impact of macroeconomic determinants such as exports, human capital, gross domestic product (GDP) growth and foreign direct investment (FDI) on Indonesia's natural resource prices volatility. The authors used secondary sources to collect data and extracted the data from World Bank Indicators (WDI) and Goldman Sachs Commodity Index (GSCI) databases from 1971 to 2020. The researchers have used the autoregressive distributed lag (ARDL) to test the linkage among the understudy constructs. The results have revealed that exports, human capital, GDP growth, and FDI are positively associated with natural resources prices volatility in Indonesia. The current study suggested that the regulatory authorities should formulate effective policies related to the natural resources prices volatility with respect to macroeconomic determinants.
查看更多>>摘要：? 2022Recently, sustainable development has been a global requirement due to environmental instability worldwide that has attracted much attention from scholars and policymakers. Thus, the current article objectives are to examine the influence of green finance and renewable energy sources (solar power, bioenergy, hydropower, and wind power) over sustainable development in China. The secondary data were extracted from the databases of the Global Green Finance Index (GGFI), International Renewable Energy Agency (IRENA), and World Development Indicators (WDI) from 1986 to 2019. The authors checked the unit root through Augmented Dickey-Fuller (ADF) test, and verified the associations among the constructs with the autoregressive distributed lag model (ARDL). The results indicate that green finance and renewable energy sources have a positive association with sustainable development, and a negative association with carbon emissions in China. This study helps policymakers in developing policies related to sustainable development in the country using green finance.
查看更多>>摘要：? 2022 Elsevier LtdIn recent decades, natural resources have been regarded as an important factor for the economic performance of the countries. However, developed economies are more recognized for better Globalization and the use of renewable Energy. This study aims to analyze the influence of natural resources rents, Globalization, renewable energy consumption, and gross capital formation on the economic performance of the group of seven economies over the period 1990–2020. This study used panel data specifications such as slope heterogeneity and cross-section dependence. Also, this study used the second-generation unit root test, which confirms the stationarity of all variables. All the variables are found in the long-run cointegration relationship but hold the property of non-normality. Hence, this study uses a novel Method of Moments Quantile Regression. The estimated outcomes asserted that natural resources rents, Globalization, and gross capital formation positively and significantly impact economic performance in all (Q0.25, Q0.50, Q0.75, and Q0.85) quantiles. At the same time, renewable energy consumption adversely affects the panel economies' economic performance. Moreover, there are bidirectional causalities between the explanatory variables and economic performance. On the basis of empirical findings, this study recommends policies regarding the sustainable use of the natural resource, increased Globalization, gross capital formation, and revised policies for renewable energy consumption.
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