Resources Policy最新文献

Addressing the challenge of integrating quantitative risk data with qualitative behavioral risk information in coal mine safety production, this study, taking gas risk as an example, proposes a BN-ELM (Bayesian Network-Extreme Learning Machine) prediction and early warning method that incorporates behavioral information. By uniformly quantifying behavioral risks and gas data, optimizing model parameters, and integrating control chart technology, this method constructs a coal mine safety situation awareness model. Experimental results demonstrate that this approach significantly reduces prediction errors in gas data (by 0.007), risk values (by 0.01), and safety situation values (by 0.03). This study innovatively considers behavioral risk factors, providing coal mine enterprises with efficient risk management methods and practical tools.

Our study focused on analyzing copper resource consumption and its decoupling from economic development in the top 25 consuming countries, using LMDI and Tapio methods. Results revealed a shift among developed nations towards strong decoupling, whereas most developing countries exhibited weak decoupling. Income effects counteracted decoupling, while intensity effects played a significant role, particularly in driving strong decoupling in developed nations. These findings underscore the importance of sustainable national environmental policies, especially for developing countries, where attention to structural effects on economic development and green growth is crucial. Developed nations should prioritize monitoring intensity effects, supporting technological advancements, and improving resource efficiency. Developing countries should pay more attention to structural effects, formulate diversified development strategies, and give full play to the role of natural resource utilization in economic structural transformation.

With the increasing resource and environmental constraints and pollution, China urgently needs to improve the condition of resource utilization. Digital technology innovation is a powerful tool for resource optimization. Therefore, this paper explores the impact of digital technology innovation on natural resource utilization efficiency (NRUE) in China from 2006 to 2019 with the system-generalized method of moments (SYS-GMM). Besides, we investigate the mechanism and heterogeneity. The main conclusions show that: (1) Digital technology innovation can significantly improve NRUE. Every 1% rise in digital technology innovation causes a 0.024% increase in NRUE; (2) digital technology innovation can indirectly improve NRUE by promoting industrial structure optimization, strengthening pollution control, and promoting green credit; and (3) heterogeneity exists in the digital technology innovation-NRUE nexus, and the effects are more obvious in digital product manufacturing and northern China. The findings enrich the existing literature and provide enlightenment for the use of digital technology to improve NRUE in China.

Every mining activity shows a footprint on the territory. The signs left by mining operations are physical, such as tunnels, extractive waste facilities, dressing plants, but also economic and social, due to job placement, income and knowledge connected to mining activity sensu lato. In the extraordinary context of the Germanasca Valley, mining has coexisted for hundreds of years with the mountain environment of the Alps and with the local population, and has become a fundamental part of local development, intimately connected with the territory and the local economic and social fabrics.

The progressive migration of mining crops at lower altitudes has left behind old mining structures that here, more than elsewhere, guaranteed new forms of industrial and geo-tourism. Similarly, the technological advance and the evolution of mining production, towards a higher quality product, with a consequent reduction in the quantities exploited, led over time to a progressive reduction in the number of employed miners. The resilience of the local population, however, balanced the contraction of work in the mine, transforming former miners in tourist guides and increasing the induced activities, passing from the previous “in house” model to an “outsourcing” model, characterized by external management of mine-related activities. The transformation of old mines into museums has certainly contributed to the development of the area, particularly considering a slow tourism that shows scarce attitude to a “fast and junk” tourism. The challenge is to understand if and how geotourism influence, in specific mining areas (such as Germanasca Valley), the attractiveness of a place.

Aiming to provide insights for nations improving their natural resources management and facilitate smooth energy transition, this study investigates green productivity across 38 OECD countries by employing by-production technology, directional distance functions, data envelopment analysis, and the Luenberger-Hicks-Moorsteen (LHM) productivity indicator. The analysis includes a comparative examination of the LHM productivity indicator and its components, along with an exploration of the relationship between LHM indicator and the structure of renewable energy consumption. The main discoveries can be succinctly summarized as follows: Firstly, the LHM productivity indicator highlights growth driven primarily by technical progress (TP), despite impediments posed by changes in technical efficiency change (TEC) and scale efficiency change (SEC). Secondly, many countries have demonstrated successful attainment of positive green growth, with outstanding performances observed in Ireland and Latvia. Conversely, Turkey, Costa Rica, and Iceland exhibit relative shortcomings in terms of sustainability. Over time, there is a discernible widening gap in green productivity among countries, with improvements in TP being a major contributing factor to the growth of the LHM indicator in most nations. Thirdly, the study reveals that the consumption structure of renewable energy has a positive impact on the LHM indicator. Lastly, the transition towards sustainable energy yields a significant positive effect on smaller nations and those with lower per capita carbon dioxide emissions. This nuanced comprehension of the link between green productivity and the structures of renewable energy consumption provides valuable insights to the discourse on sustainable development and resource reallocation.

This paper examines the impact of the coal sector on the economy from the perspective of industry shocks. Existing research primarily focuses on the relationship between coal consumption and the economy. An 8-sector dynamic stochastic general equilibrium (DSGE) model is constructed, based on China's input-output tables from 2005 to 2020, to depict the economic effects of coal sector shocks. The research findings are: (1) The DSGE model reveals a close connection between the coal industry and the macroeconomy. (2) The coal sector shocks have the largest impact on the electricity sector. (3) Coal sector shocks primarily affect the macroeconomy through non-energy manufacturing sectors. (4) As the economic development level increases, the influence of coal sector shocks on the macroeconomy gradually diminishes. The econometric analysis indicates that the role of coal is no longer significant in the high stage of economic development. The results of the panel quantile regression model also show the same result. Based on these conclusions, this paper suggests that as China gradually enters a new stage of development, it can gradually reduce coal consumption.

This study investigates the effects of eco-friendly finance and fossil fuel efficiency on sustainability in 15 OECD countries from 2005 to 2021. A 1% increase in the Fossil Fuels Efficiency Index improves sustainability by 0.32% in the short term and 0.45% in the long term. Similarly, a 1% rise in green finance enhances sustainability by 0.16% short-term and 0.40% long-term. Negative impacts on sustainability were found from the Energy Security Risk Index, Carbon Footprint, and Economic Growth, while higher Income Levels boost sustainability. Fossil fuel efficiency has a greater effect on sustainability than green finance, highlighting the need to prioritize fossil fuel efficiency. Recommendations include promoting renewable energy, digitizing green finance, customizing marketing strategies, importing energy efficiency technologies, and implementing efficient green tax rates.

Financial technology is now playing a significant part in supporting the advancement of the economy. Moreover, there exists an escalating awareness concerning the safeguarding of resources. The ongoing research illuminates the reliability of the resource curse assumption concerning selected Asian nations. Moreover, it analyses the consequences of two major economic indicators on COE, notably green finance and fintech. The analysis took place over a time frame of 20 years (2000–2020) to attain its goal. The analysis incorporates an extensive approach, Cup-FM and Cup-BC for the empirical perusal. The analysis outcomes illustrate the prevalence of the resource curse hypothesis in selected Asian nations. Fintech has been proven to be an essential tool for minimizing COE. Additionally, green finance acts as an essential tool for minimizing COE. In addition to this, GDP has proven to be a pertinent driver of COE. The analysis provides a variety of particular strategies intended for strengthening the circumstances of observed nations. It is essential to concentrate on the ecologically sound utilization of natural resources at present. Additionally, financial technologies must receive more of the spotlight in the general policymaking field. It is mandatory now for developing nations, to invest in green finances to boost ecological quality.

Due to the adverse impacts of climate change on the environment and biodiversity, sustainability has become a critical issue. This paper investigates the impact of digitalization on the sustainability of metallic mineral production, particularly CO2 emissions, within the Regional Comprehensive Economic Partnership (RCEP). Using data from 1998 to 2020 and the cross-sectional FMOLS technique, the study finds that a 1% increase in ICT investment reduces CO2 emissions by 0.32%, and a 1% rise in Internet access decreases emissions by 0.28%. However, electrification increases emissions due to higher energy demand and fossil fuel reliance. Economic growth and metallic resource trade volume also elevate emissions. Policy recommendations include smart urban development, sustainable rural electrification, fostering internet access, and implementing green logistics in metallic production trade to enhance sustainability in RCEP countries.