Resources Policy最新文献

China's stringent decarbonisation, marked by an uncompromising coal phaseout, has induced significant ripple effects across the coal industry chain's employment structure. By utilising a composite methodology that integrates the Global Change Assessment Model and Input‒Output Model, this study systematically quantifies the impact on employment, revealing a loss of 1.6 million jobs in mining and 8.2 million in the entire chain. Concurrently, a labour shift to the renewable sector has resulted in an 18.5% increase in employment, equivalent to creating 508,000 new positions from 2017 to 2020. Projections suggest that renewable energy initiatives could address 25% of the employment gap for precision by 2060 under carbon neutrality scenarios. Nonetheless, the coal sector is expected to lose more than 20 million jobs, indicating the need for a 2.3 trillion-yuan compensation fund. This study highlights the need for policy interventions to facilitate labour transitions through comprehensive retraining programs and strategic investments. Promoting economic diversification and clean coal technologies can improve resource utilization and create new jobs. Additionally, repurposing abandoned coal mines into energy storage facilities or renewable energy sites can prevent stranded assets and generate employment. These findings provide a robust framework for addressing the socioeconomic challenges of energy transitions, offering critical insights for other coal-dependent countries aiming for sustainable development.

The EU transition to green economy and digital transformation plays a crucial role in achieving sustainable development with direct interest in allocating the necessary financial resources. In this framework, the aim of this paper is to evaluate the impact of e-government and natural resources rents on financial and human development as proxies for sustainable development. The analysis conducted for the period 2008–2022 revealed the role of economic growth and e-government in supporting the sustainable development in the EU. However, natural resources rent negatively impacted human development and only coal rents enhanced financial development in the old EU member states. The results could support the new EU policies to achieve sustainable development by an efficient use of natural resources and by implementing digitalization for public services.

The escalating concerns about ecological sustainability have made the consumption of resources a crucial global issue. The speedy growth of the economy is heavily reliant on excessive consumption of resources, which significantly contributes to the imbalance between biodiversity and ecological footprint, resulting in a decrease in the carrying capacity. Both researchers and policymakers strive to enhance the amount of financial capital in the present time while ensuring that the country's economic growth remains unaffected. The primary objective of this study is to analyze the impact of green energy, financial technology (FinTech), and environmental regulations on enhancing the environmental sustainability of resource-rich countries from 1992 to 2022. To address problems with cross-sectional dependency and slope heterogeneity, this study employs the CS- ARDL model. The long-term results indicate that the reliance on income from natural resources decreased the load capacity factor. However, the load capacity factor was improved by shifting to green energy, adopting fintech, and implementing environmental regulations. The utilization of the AMG and CCEMG estimate procedures enhances the validity of the research findings. These findings provide essential policy recommendations for all stakeholder involved.

This study delves into the intricate dynamics of green transformation within global mining and other process industries, focusing on production, distribution, and capacity planning under the framework of the Asian Mineral Vision. By addressing sustainability, resource efficiency, and cost reduction, the research highlights the multifaceted challenges faced by industry participants in achieving green objectives. In addition to financial efficiency, the study emphasizes the importance of customer service quality and responsiveness. To tackle these challenges, we propose a novel multiobjective mixed-integer linear programming (MILP) approach. The model incorporates key goals such as minimizing total cost, total flow time, and total missed sales, reflecting the interconnected nature of financial efficiency, operational agility, and customer satisfaction. To further enhance the model's flexibility, we integrate discrete strategies for plant capacity expansion, recognizing the crucial role of capacity management in responding to evolving demand dynamics. The multiobjective optimization problem is addressed using the lexicographic minimax technique and the ε-constraint method. A comprehensive numerical example illustrates the practical relevance and effectiveness of our proposed model and solution methods, providing valuable insights into improving the resilience and performance of green supply chain networks in the process industry.

In recent times, ecological sustainability has become a pertinent area of interest for policy stakeholders in emerging nations. The BRICS nations are five nations that have significantly contributed to the world's GDP and play a significant role in the environmental policy arena. The ongoing research has confabulated the interconnections among three pertinent economic policy variables, i.e., NTR, FNT, and ECX, on SGR in five selected nations. The research has used the most rigorous method, MMQR, for the empirical outcomes. The empirical outcomes elucidate that ECX and ENT are essential sources to augment SGR. In contrast, NTR is one of the most prominent factors escalating ecological degradation in these nations. The research has provided a few interesting policy insights; for instance, according to the empirical outcomes, environmental taxes can be used to abate CO2 emissions. However, it is recommended that these taxes must be accompanied by green finance and green credit, which ultimately will help the firms and promote green growth. Green growth is an essential tool for boosting SGR in the chosen nations. Furthermore, the chosen nation must focus on strategies that promote the sustainable use of NTR for a cleaner and greener tomorrow.

Since the establishment of the Extractive Industries Transparency Initiative (EITI), many resource-rich countries have joined international transparency initiatives. Considering that resource-rich countries have historically preferred opacity, this trend is surprising. Once a country joins the EITI, the country reports on its revenues, contracts, and licenses related to natural resources. The disclosure of information on resource revenues could threaten the survival of the leadership in less transparent democratic and autocratic regimes. In the face of the threats posed by enhanced transparency, these countries maintain their EITI membership, but for what reason? Using newly released data, this study argues that countries participate in international transparency initiatives to signal a favorable economic environment to international investors. This study demonstrates that under the self-reporting mechanism, investors reward or punish a country according to the level of its EITI membership. Based on an empirical analysis of 128 countries using two-stage least squares regression and the instrumental variable estimation in order to deal with selection bias and endogeneity (2002–2015), this study finds that joining in the EITI has a stronger positive effect on the inflow of foreign direct in-vestment (FDI) in less transparent countries, than in more transparent ones.

The term "green growth" signifies an approach toward growth that promotes environmental sustainability and economic prosperity by supporting the preservation of natural resources, energy conservation, environmentally conscious farming, and waste disposal. It aims to distinguish economic prosperity from the destruction of the environment. Similarly, the core focus of the present study is to illustrate the impact of environmental policy, fintech, green technologies, and natural resources on carbon dioxide emissions and green growth in China over a specific twenty-one-year period covering 2000 to 2021. The study objectively analyzes the effects of environmental policy, natural resources, fintech, and green technologies on CO2 emissions and green growth employing the QARDL method. By confirming the empirical outcomes, the research analyzes the reliability of the methodology. The green growth and CO2 emissions models yield distinct results about statistically significant quantile ranges and coefficient magnitudes, as demonstrated by the research's findings. Natural resources support escalating CO2 emissions, whereas environmental policy, green technologies, and finance tend to lessen the detrimental effects. Concerning these results, policy experts should concentrate on green growth to facilitate the inclusion of green energy into the banking sector while reaching the zero-carbon objective by 2050.

In the sustainable transition of the power system, China's resource distribution characteristics lead to a distinct geographical separation between the main production and consumption areas of coal and coal power. This separation leads to the transmission of complex inter-regional social risks and responsibilities associated with the phase-out of coal power. Considering the inter-provincial transmission of coal and coal power, this paper constructs a novel two-layer network framework incorporating both coal mining and coal power. This method systematically assesses the contributions of coal power production and consumption to provincial employment and tax revenue, and identifies key paths of inter-provincial impact transmission for the first time. In terms of total contribution, coal mining contributes significantly more to employment and tax revenue (1.45 million jobs and 143 billion RMB) than coal power production (0.69 million jobs and 58.2 billion RMB). Spatially, employment and tax revenue related to coal power are concentrated in North China's production areas and the coastal consumption regions. Provinces like Shanxi, characterized by abundant resource reserves yet low consumption, are more exposed to socio-economic risks from other provinces reducing coal use, whereas economically developed provinces like Guangdong currently benefiting more from coal consumption, should assume corresponding responsibility in the future sustainable transition of power sector. Our analysis emphasizes the need for future policies to consider inter-provincial economic and social impacts, innovating horizontal risk compensation and shared responsibility mechanisms, to secure the interests of resource-based provinces in the just transition of China's coal power industry.

The research investigates dynamic connectedness and portfolio strategies among crude oil, gold, global traditional (DJGI) and sustainable (DJSI) indices. The time-varying parameter vector autoregression (TVP-VAR) findings reveal that the average total connectedness among the assets is 33.03%, with the total dynamic connectedness index exhibiting a notable surge during two crises and one stability period. The upsurge exhibited a predominant prevalence of short-run connectedness during crisis periods, notably amidst the COVID-19 pandemic and the Russia-Ukraine war. Conversely, the last and first quarters of 2017 and 2018 manifested as periods of stability, wherein long-term interconnectedness prevailed. Crude oil and gold emerge as the primary recipients of systemic shocks, while traditional and sustainable stock indices act as net transmitters of shocks. The BEKK and DCC GARCH models indicate short- and long-run persistence among the assets. Further, the study calculated hedge ratios and portfolio weights. Our empirical findings indicate that gold serves as a cost-effective hedging asset. Investors should invest more in the traditional stock index than in gold and crude oil to form an optimal portfolio. Notably, the global sustainable index offers results similar to those of the traditional index. Investors in the sustainable index would invest a similar amount for diversification and hedging with other traditional assets as they would for the traditional index.

This study explores how the digital economy affects the resource curse in Belt and Road Initiative (BRI) countries. Using data from 27 BRI nations (2001–2020) and fixed effect panel data analysis, we find that increased digital access and technology imports reduce resource dependency. Specifically, a 1% rise in computers per 100 inhabitants correlates with a 0.17% decrease in oil rent, indicating digital access aids economic diversification. Conversely, a 1% increase in internet access tariffs leads to a 0.29% rise in oil rent, impeding diversification. Additionally, a 1% increase in ICT goods imports results in a 0.64% decrease in oil rent. Positive coefficients for electricity consumption and population size suggest intensified resource curse effects. We recommend policies to enhance digital accessibility and technology imports, improve electricity infrastructure, and promote renewable energy sources to mitigate the resource curse in BRI countries.