Grzegorz Mentel

57015565600

Publications - 6

Do Land Resources, Agriculture Exports, and Agriculture Growth Induce Agriculture-Related Greenhouse Gas Emissions: Novel Findings in the Lens of COP–28

Grzegorz Mentel Diogo Ferraz Irum Shahzadi Salahuddin Khan Yuriy Bilan

Publication Name: Land Degradation and Development

Publication Date: 2025-07-15

Volume: 36

Issue: 11

Page Range: 3858-3873

Description:

Globally, economies are highly concerned about the balance between climatic issues and attaining agricultural sustainability. However, empirical evidence regarding the nexus of agricultural sustainability, emissions, land use, and agricultural trade is scarce and requires appropriate policy-level attention. The current study examines the influence of land-use resources, agricultural exports, and foreign direct investment on agriculture-related greenhouse gas emissions in Brazil. Using various time series diagnostic measures on quarterly data from 1990Q1 to 2020Q4 reveals non-normality and a mixed order of stationarity in variables. The autoregressive distributed lag (ARDL) model and quantile ARDL approach are employed for comprehensive empirical analysis. The results assert that land resources and foreign investments are harmful to environmental sustainability, as they significantly enhance agricultural greenhouse gas emissions. Additionally, agricultural exports and green energy significantly contribute to emissions mitigation by tackling land-use and agricultural emissions in the short and long run. The results are robust across the ARDL and quantile regressions and pairwise granger causality. The study concludes that agricultural exports and land use are key factors inducing agricultural sustainability by inducing emissions. The study recommends increased spending on research and development, solar-based irrigation, and promotion of green energy projects. The study discusses novel findings and implications apropos land resources, foreign investments, agricultural exports, and emissions in the lens of COP 28.

Open Access: Yes

DOI: 10.1002/ldr.5604

Modeling the Efficiency of Resource Consumption Management in Construction Under Sustainability Policy: Enriching the DSEM-ARIMA Model

Yuriy Bilan Pruethsan Sutthichaimethee Grzegorz Mentel Halyna Mishchuk Volodymyr Voloshyn Volodymyr Voloshyn

Publication Name: Sustainability Switzerland

Publication Date: 2024-12-01

Volume: 16

Issue: 24

Page Range: Unknown

Description:

The aim of this research is to study the influence of factors affecting the efficiency of resource consumption under the sustainability policy based on using the DSEM-ARIMA (Dyadic Structural Equation Modeling based on the Autoregressive Integrated Moving Average) model. The study is performed using the Thailand experience. The research findings indicate that continuous economic growth aligns with the country’s objectives, directly contributing to continuous social growth. This aligns with the country’s efficient planning. It demonstrates that the management aligns with the goal of achieving Thailand 5.0. Furthermore, considering the environmental aspect, it is found that economic and social growth directly impacts the ecological aspect due to the significant influence of resource consumption in the construction. The resource consumption in construction shows a growth rate increase of 264.59% (2043/2024), reaching 401.05 ktoe (2043), which exceeds the carrying capacity limit set at 250.25 ktoe, resulting in significant long-term environmental degradation. Additionally, considering the political aspect, it is found to have the greatest influence on the environment, exacerbating environmental damage beyond current levels. Therefore, the DSEM-ARIMA model establishes a new scenario policy, indicating that resource consumption in construction leads to environmental degradation reduced to 215.45 ktoe (2043), which does not exceed the carrying capacity. Thus, if this model is utilized, it can serve as a vital tool in formulating policies to steer the country’s growth toward Thailand 5.0 effectively.

Open Access: Yes

DOI: 10.3390/su162410945

The dilemma of water, food, and greener energy nexus: A novel context of COP27 for G20 economies

Waldemar Tarczyński Grzegorz Mentel Kang He Irum Shahzadi Salahuddin Khan

Publication Name: Land Degradation and Development

Publication Date: 2024-05-30

Volume: 35

Issue: 9

Page Range: 2993-3006

Description:

In the contemporary world, achieving sustainable food production has become an urgent task for the international community and policymakers due to the rapidly growing social challenges of mankind. Sustainable food production practices aid countries in adapting to the challenges posed by climate change, thereby ensuring a better and more sustainable future for all. This study examines the impact of land use, energy efficiency (ENE), water productivity (WP), renewable energy consumption (REC), and gross domestic product (GDP) on sustainable food production in G20 nations over the period of 1998–2020. We use quantile regression approaches to capture potential heterogeneity across various food value-added distribution quantiles. The results show that arable land, WP, GDP, ENE, and REC are important factors affecting food value added in G20 nations. However, the nature of the relationship varies across different quantiles, suggesting heterogeneity in the relationships. The results show that ENE, renewable energies, and GDP are positively related to food production. However, arable land and WP are negatively related to food production. The findings can assist policymakers and stakeholders in making informed decisions to increase value added in the agricultural sector while promoting resilience and sustainability.

Open Access: Yes

DOI: 10.1002/ldr.5110

Synergistic dynamics unveiled: Interplay between rare earth prices, clean energy innovations, and tech companies' market resilience amidst the Covid-19 pandemic and Russia-Ukraine conflict

Laszlo Vasa Grzegorz Mentel Xiaoming Yang Ashfaq Ahmad Md Monirul Islam

Publication Name: Resources Policy

Publication Date: 2024-02-01

Volume: 89

Issue: Unknown

Page Range: Unknown

Description:

Rare earth elements play a crucial role in supporting low-carbon energy generation technologies, such as electric motors in electric vehicles and the production of wind turbines. Additionally, these elements are utilized in a wide range of products manufactured by tech companies, including smartphones, aerospace components, and microelectronics. This paper aims to investigate the interplay between rare earth element prices (REMX), clean energy innovations (NEX), and the market of tech companies (PSE) from February 2018 to February 2023. To analyze the interdependencies between these markets, the study employs the cross-quantilogram (CQ) and wavelet local multiple correlation (WLMC) techniques. The findings of the investigation reveal a positive correlation between rare earth elements and the clean energy market, but only when both markets are in their respective extreme quantiles (10th and 90th). However, when the clean energy market is in a lower quantile and REMX is in a higher one for an extended period, there is either no significant interdependence or a negative relationship. Furthermore, the study identifies a positive co-movement between PSE and REMX in the short, intermediate, and extremely long-term. However, this relationship turns negative in the long run. The values of the coefficients fluctuate over time, particularly at larger scale periods of 8–16 when using the WLMC procedure. These findings have notable implications for stakeholders, including investors, managers, and policymakers, who are linked to the field of mineral resources and industries reliant on rare earth element-based technologies.

Open Access: Yes

DOI: 10.1016/j.resourpol.2023.104615

State-dependent predictability of precious metals: The economic role of critical minerals and climate risk

Laszlo Vasa Grzegorz Mentel Bing Zeng Ying Hui

Publication Name: Gondwana Research

Publication Date: 2026-06-01

Volume: 154

Issue: Unknown

Page Range: 274-289

Description:

The current study investigates the predictive ability of critical minerals of price returns of precious metals (gold, silver, platinum, and palladium) in presence of different degrees of climate policy uncertainty (CPU). Using a novel Multivariate Quantile-on-Quantile Causality (MQQC) model, we test the predictive dynamics, unconditional and CPU-conditional, in the entire joint return distribution continuum. Predictability, unconditionally, is localized in the tails, i.e. under extreme market conditions, mineral shocks have strong impact but under normal regimes, they have little impact. The tail dependence is indicative of co-production and industrial-demand relationships of silver, platinum, and palladium, but gold mostly maintains its safe-haven property. After the addition of CPU, the predictive effects are stretched out further to the middle of the distribution, indicating wider and more enduring spillovers. In the case of gold, CPU enhances the safety haven demand by augmenting the crucial mineral precious metal co-movements between regimes. In the case of silver, platinum and palladium, CPU increases industrial sensitivities relating to clean-energy use. These findings highlight the twofold contribution of the geological factors in conjunction with policy uncertainty towards price fluctuations, and significance of the findings on resource planning, governance and risk management.

Open Access: Yes

DOI: 10.1016/j.gr.2026.01.007

External Climate Information Pressure and Corporate ESG Performance: How Public Climate Risk Attention Shapes Sustainability Strategy

Laszlo Vasa Grzegorz Mentel Umer Shahzad Xiaodong Yang Pu Hao

Publication Name: Corporate Social Responsibility and Environmental Management

Publication Date: 2026-01-01

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

Against the background of escalating global climate risks and deepening the sustainable development agenda, the public is paying increasing attention to climate change, and the impact on corporate environmental behavior through channels such as information search and public discourse is increasing. This study employs panel data from Chinese non-financial A-share listed companies between 2011 and 2023, utilizing a multidimensional fixed-effects model to examine the impact of public climate risk attention on corporate ESG performance. Empirical findings reveal that heightened public climate risk attention significantly improves corporate ESG performance, underscoring the growing role of informal institutional pressures as drivers of sustainable corporate governance. This catalytic effect is moderated by three key organizational characteristics: female executive representation, managerial ability, and political connections, which respectively enhance the governance role of public attention by shaping the firm's risk perception capabilities, resource integration capabilities, and institutional adaptation capabilities. Heterogeneity tests reveal that the impact of public attention on corporate environmental behavior is more pronounced in non-state-owned enterprises, firms in eastern regions, and companies in competitive industries, indicating that this influence is highly contingent on market and institutional environments. Our findings contribute to a broader understanding of external drivers of ESG behavior and provide support for constructing green governance systems based on public participation.

Open Access: Yes

DOI: 10.1002/csr.70591