Natural Resource Production Research Articles

Brown vs green energy sources and resource productivity: The role of human capital and technology transfer in developing economies

This study determined the impacts of non-renewable and renewable energy consumption on natural resource productivity alongside human capital and technology transfer roles for 40 selected developing economies. The study relied on a dataset sourced between 1991 and 2021. The study applied the method of moments quantile regression (MMQREG) procedure for the analyses while ensuring inferential robustness through the fully modified ordinary least squares (FMOLS), dynamic OLS (DOLS), and Driscoll-Kraay (D-K) methods. Empirically, the study revealed that an increase in brown energy consumption exhausted resource productivity from the lower to the upper quantiles. In contrast, green energy utilisation enhanced resource productivity from the lower to the higher quantiles. Also, while human capital adversely affected resource productivity for both energy means, technology transfer positively impacted it from the lower to the upper quantiles. Likewise, inferences from the DOLS, FMOLS, and D-K techniques revealed similar findings. However, despite non-renewable energy being the dominant means of energy in these developing economies, the size of its adverse impact on resource productivity falls short of the increasing effect of renewable energy across all quantiles. Also, the magnitude of the negative impact of human capital on resource productivity is marginally more substantial with non-renewable energy. In contrast, the robustness of the enhancing impact of technology transfer is slightly more with renewable energy.

Forecasting the Contribution of Renewable Energy to the Indonesian Economy: A Vector Error Correction Model Approach

This study aims to evaluate the causal relationship between Renewable Energy Consumption, Non-Renewable Energy Consumption, and Economic Growth. This study uses quantitative methods and analyzes data using a Granger Causality Test, Vector Error Correction Model (VECM), Impulse Response Function (IRF), and Variance Decomposition (VDC). The study was conducted in Indonesia, with data ranging from 1993 to 2022 obtained from the World Bank database and Our World in Data. The results of the study based on the Granger test show that renewable energy has a significantly positive impact on economic growth in Indonesia. According to the VECM test, renewable energy consumption contributes to increasing economic growth as a result of construction and manufacturing sector activities in the development of renewable energy in Indonesia. The government should focus on energy availability, with an emphasis on increasing the production of renewable natural resources.

Toward environmental sustainability: Is responsible consumption and production of natural resources amid green energy, green technology, and green finance achievable?

AbstractThe relentless devastating impacts of global warming and other climate change effects leading to incessant ecological damages have compelled governments across the globe to rethink the pattern of natural resource depletion. This has motivated policymakers, governments, international organizations, and research pundits alike to advocate for a transition to sustainable consumption and production of natural resources. Consequently, there is a growing call for sustainable production and consumption practices, as outlined in Sustainable Development Goal 12 (SDG‐12). This research probes how natural resource production and consumption facilitate or hinder environmental sustainability in G7 economies from 1996 to 2020. The empirical evidence incorporates green energy, green technology, green finance, environmental tax, financial development, economic growth, and population as control variables within the STIRPAT theoretical framework. Second‐generation estimating techniques are utilized for empirical verification. An outstanding contribution of this study among others is the estimation of the moderating effects of green energy in mitigating the ensuing impact of natural resources on environmental sustainability. The results indicate that both production and consumption of natural resources, particularly coal and oil negatively affect environmental sustainability. Furthermore, green technology, energy, and finance as well as environmental tax are found to play a crucial role in promoting environmental sustainability. Green technology plays significant part in subduing the deteriorating effects of natural resources on the ecosystem. The robustness analyses further buttress the main analyses. Policy recommendations are proposed based on the empirical results.

Regional financial potential after the enactment of the law on the financial relations between central government and regional governments in Indonesia

The implementation of government decentralization in Indonesia is facing regulatory problems for autonomous regions’ financing sources. Therefore, attention to regional finance is increasingly needed given that autonomous regions are required to carry out various central government interests in addition to their affairs. This leads to a split of power over financing development policy by the regional government. However, this does not mean that the local government’s financial needs must be free from the central government’s intervention. This study briefly compares financing regional autonomy in Indonesia, France, Germany and Thailand. The results show that the distribution of financial resources between the central government and regional governments is inconsistent with Article 18A section 2 of Law No.1/2022. The results also show that the provisions of various sources of taxation and levy have not met the financial needs of regions in Indonesia. Financial balance in the form of Natural Resources Production Sharing Fund from various natural resources owned by regions that only share unrenewable resources such as mining excavated materials remains unequally distributed between regions that have natural resources.

Sustainable Energy Solutions in Sub-Saharan Africa: Integrating Indigenous Knowledge and Climate Resilience for Lower Carbon Emissions

Promoting sustainable energy solutions in sub-Saharan countries is crucial for addressing energy poverty, reducing carbon emissions, and fostering long-term environmental and economic sustainability. This study explored using indigenous knowledge and emerging technologies to reduce carbon footprints and GHG emissions in Africa's climate hotspots in sub-Saharan countries. The study revealed that operating institutions utilize various applications to ensure that energy management resources can mitigate the effects of carbon emissions. The study revealed that the most efficient use of natural resources for energy production requires collaboration among governments, private sectors, NGOs, and local communities. By adopting a holistic and inclusive approach, one can work toward a more sustainable and low-carbon energy future. This paper focuses on carbon footprint analysis and proposes solutions to address environmental issues in implementing sustainable energy solutions in sub-Saharan countries. A multifaceted approach involving effective strategies is needed to lower the carbon footprint. The contribution of this study is to improve energy consumption in communities in Africa by integrating climate resilience considerations into sustainable energy projects to ensure long-term viability. This will involve planning for changing climate conditions, such as extreme weather events, and designing infrastructure that can withstand and adapt to these challenges. It has been concluded that carbon footprint analysis is useful for determining the impacts of carbon particles in the world’s atmosphere. The role of energy management operations seeks to improve the assessment and analysis of carbon footprints by allowing atmospheric measurements of carbon.

THE INCREASING INCOME STRATEGY OF SUMBER AGUNG VILLAGE WEST PESIR DISTRICT THAT IMPACT ON COMMUNITY ECONOMY FROM THE PERSPECTIVE OF SIYASAH MALIYAH

The enactment of Law Number 6 of 2014 concerning Villages and Law Number 23 of 2014 concerning Regional Government gives villages the right to regulate their regional affairs. In increasing the village's original income, the village government has the right and authority to widely utilize village wealth. Regarding village income sources, efforts to mobilize resources to develop the people's economic potential will increase people's productivity, so that the productivity of both human resources and natural resources around the people can be increased. In this research study, the formulation of the problem is how the strategy for increasing village original income has an impact on the community's economy and how siyāsah māliyah reviews this strategy. The aim of this research are to find out how the strategy of increasing village original income has an impact on the community's economy and how siyāsah māliyah views this strategy. The type of research used in this research is field research, where this research was carried out by interviewing staff at Sumber Agung Pekon, Ngambur District, Pesisir Barat Regency. Data analysis was carried out qualitatively, processing data analysis using descriptive analysis methods, namely discussions based on general thought patterns and then concluded in specific terms. The research results show that the strategy to increase village original income which has an impact on the community economy in the Sumber Agung area, Ngambur District, Pesisir Barat Regency is by establishing village-owned business entities, developing beach tourism, and also having village markets. The conclusion from the results of this research is that the strategy to increase village original income which has an impact on the economy of the community in the Ngambur area has made a contribution, although not much. Siyāsah māliyah's review of the increase in original village income which has an impact on the economy of the community in the Sumber Agung District of Ngambur is in accordance with the principle of benefit, namely prioritizing the interests of the people rather than the interests of the individual.

러시아 연방의 기후 및 환경 문제에 대한 인식과 정책

Climate and environmental issues are one of the biggest threats to sustainable development of mankind. Russia is warming faster than the planet as a whole. In this process, climate and environmental policy in Russia is directly linked to national goals, strategic goal setting, and economic conditions, starting with the production of natural resources. As such, it has gone through several stages of coordination to ensure the rational use of resources. Russia’s national strategy is characterized by the fact that raw materials play an important role in the country’s economic structure. However, Russia is also bound to change due to climate and environmental change. In order to understand how Russia can shift its policy priorities in the process of climate and environmental change, it is necessary to study the current situation and policy changes in Russia.

Characterization of Antibiotic Actinomycin D Isolated from Streptomyces parvulus Collected from Marine Sponge of Barrang Lompo Island, Makassar, Indonesia.

Microorganisms associated with sea sponges have proven to be good natural product resources that are biologically active and pharmaceutically important. This research aimed to identify actinomycetes related to a sponge from Bar-ranglompo Island Makassar and the antibacterial compounds. Identification of actinomycetes was based on molecular characterization of sequence gen16S rRNA. The antibacterial compound was separated using vacuum liquid chromatog-raphy and preparative Thin Layer Chromatography (TLC). The structure determination was done based on spectroscopy 1H-NMR, 13C-NMR, 2D NMR, and mass spectra. Molecular characterization showed that actinomycetes strain BLP 20 had the closest relationship with Streptomyces parvulus and Uncultured Streptomyces sp. with a similarity value of 83%. The results obtained from the characterization of antibacterial compounds based on spectroscopic data indicate that these compounds lead to Actinomycin D. Characterization and identification of Strain 20 / BLP by molecular phylogenetic analysis of 16S rRNA sequences revealed the closest relationship with Uncultured Streptomy-ces sp and S. parvulus with a similarity value of 83 %, which indicated a new species. The structure of the active compound isolated from actinomycetes strain 20 / BLP leads to Actino-mycin D.

Role of energy natural resource productivity and environmental taxation in controlling environmental pollution: Policy‐based analysis for regions

The present study explores the impact of energy natural resource productivity and environmental tax on environmental sustainability in six major CO2‐emitting economies: the Euro Area, China, South Korea, Japan, the United Kingdom and the United States, from 1997 to 2019. This analysis aims to reveal novel findings and implications for different energy natural resource productivity types and environmental regulations. We employed data regarding leading national and regional CO2 emitters from 1997 to 2020 to conduct an empirical analysis using the panel non‐linear auto‐regressive distributed lag (NARDL) and panel quantile ARDL (QARDL) methods. The results show that energy natural resource productivity and environmental tax are crucial components in reducing CO2 emissions by controlling for innovation technology and renewable energy consumption. The main findings demonstrate that the impact is stronger in the presence of increased energy natural resource productivity and vice versa. These findings have novel implications for sustainable development and carbon neutrality.

Exploring the potential of Gigantochloa levis and Gigantochloa scortechinii bamboo species for plybamboo production

Gigantochloa levis and G. scortechinii bamboo species were evaluated as material for plybamboo production. Plybamboo was composed of three layers with 12 mm thickness and used phenol formaldehyde (PF) as their binder. Representative samples were cut and tested for bonding, physical, mechanical, and finishing properties. Results indicated that G. levis plybamboo exhibited higher bending strength property compared to G. scortechinii plybamboo, as indicated by its higher modulus of rupture (121 N/mm2) and modulus of elasticity (16300 N/mm2). The G. levis plybamboo also displayed higher bond shear strength and was dimensionally stable compared to G. scortechinii plybamboo. The finishing properties revealed that all coatings performed well in the cross-cut tape and pull-off tests. Notably, plybamboo from both bamboo species showed excellent coating film adhesion. Based on minimum standard requirement, results revealed that both bamboo species were suitable to be used in plybamboo production for general use. The findings showed that those species are valuable renewable natural resources for plybamboo production and had potential to be utilized as a substitute for wood in board production.

Analysis of Sports Tourism Potential in Pangkep Regency

This research is a qualitative descriptive study which aims to describe the potential for sports tourism in Pangkep district. In this research, the researcher explains the general potential and specific potential for the development of sports tourism in Pangkep district. This research was conducted using a direct interview method involving several informants, first an informant from the Pangkep Regency Youth and Sports Tourism Office who explained the general potential for sports tourism in Pangkep Regency, then the community on one of the islands and immigrants who came to the island to obtain information. regarding the special potential for developing sports tourism in Pangkep district, researchers also utilized several secondary data to complete the research. The results of this research show that natural potential is closely related to increasing the productivity of natural resources, one of which is tourism. Tourism is defined as a variety of tourist activities and is supported by various facilities and services provided by the community, entrepreneurs, government and local governments. Tourism for sports is a new paradigm in the development of tourism and sports in Indonesia. Sports tourism is able to show its potential as something interesting as a recreational sport. The potential lies in the strength and attractiveness of sports which naturally have a symbiotic mutualism with the tourism sector. Recreational sports are directed at promoting sports as an effort to develop public awareness in improving health, fitness, fun and social relationships.

Combining the management of natural resources with the management of environmental resources: Modeling the impact of high-tech and ICT service export

The sustainable development of nations highly depends on the management of natural resources and their environment. Based on the above, we can establish that there is a practical solution the incorporation of natural resources and environmental management in the export sector of high-tech and ICT services working for sustainable development. The high-tech and ICT sectors, using technology and new business models, can solve many issues in the natural resources and environmental sectors. This paper examines Combining the management of natural resources with the management of environmental resources in China from 1990 to 2022 in the light of renewable energy consumption and ICT service exports as control variables. This study reveals that renewable energy consumption is positively associated with the management of natural resources and ICT service exports are positively related to the management of environmental resources. The implications of these results are the necessity for the co-management of natural and environmental resources in China and the opportunities for leading technologies to improve environmental management practices. One of the greatest troubles that climate change has brought is the production of natural resources. Policymakers can integrate natural resource management with exports of high-tech and ICT services to develop novel solutions to mitigate the effects of climate change, including creating early warning systems, disaster management technologies, and climate-smart agriculture. Also, policymakers can make more informed decisions and enforce impactful policies to achieve sustainable development goals through modeling and simulation.

RESEARCH ON THE STRUCTURE FORMATION PROCESSES IN THE SYSTEM «BLAST FURNANCE SLAG - WASTEPAPER SLUDGE ASH»

Concrete production is one of the largest consumers of natural non-metallic materials. To mitigate the environmental impact associated with cement production The use of wastepaper sludge ash (WSA) from paper recycling is a new promising direction for saving fuel, energy, and natural resources in cement and concrete production, aimed at reducing the proportion of clinker in cement by replacing part of the cement with supplementary cementitious materials. This approach aligns with the priority principles of uniform and sustainable industry development aimed at creating environmentally friendly, low-energy-consuming technologies. This study is dedicated to investigating the properties of composite systems with different proportions of blast furnace granulated slag and wastepaper sludge ash. Test results show that samples with 70% WSA achieve the highest early strength (2.23 MPa flexural, 7.6 MPa compressive). Later, samples with a 70:30 BFS:TAW ratio exhibit the highest strength (38.3 MPa compressive, 4.6 MPa flexural) due to predominant hydro silicate hydration. The composite system forms CSH(B) hydro silicates and calcium hydro aluminate C4AH13, reacting with WSA gypsum to form calcium hydro sulpho aluminate C3A∙3CaSO4∙32H2O during initial hydration.

Gamma-rays and X-rays spectrometries applied to evaluate soil redistribution

This work responds to the growing global demand for food, which requires improvements in agricultural production and sustainable management of natural resources. The focus is on soil erosion as a critical element in preserving agricultural productivity. From this perspective, the levels of radionuclides and chemical elements present in the soil, quantified through Gamma-Rays Spectrometry (GRS) and Energy Dispersive X-ray Fluorescence (EDXRF), were used to investigate soil redistribution over time. 27 soil samples ranging from 0 to 30 cm in depth were collected in an agricultural plot located in southern Brazil. Quantitative analysis indicated high mean concentrations of Fe (161 ± 7 gkg−1), Al (110 ± 17 gkg−1), Ca (2.6 ± 0.5 gkg−1), Mn (2.4 ± 0.3 gkg−1) and K (543 ± 165 mgkg−1) in comparison with the other detected elements. The quantification of 137Cs provided a mean inventory of 27 ± 17 Bqm−2. Using the proportional model, an estimated gross erosion rate of 28.2 tonha−1year−1 and a net soil deposition of 6.6 tonha−1year−1 were calculated. Therefore, a net soil loss of 21.6 tonha−1year−1 was experienced within the agricultural plot studied. The data set combination of both techniques with Principal Component Analysis (PCA) revealed correlations between the variables studied and the soil erosion dynamics. The PCA showed a tendency to separate the samples according to their sampling depth. Moreover, 137Cs behavior in soil proved to be similar to the behavior of elements found in fertilizers, like K. On the other hand, the individual influence of 137Cs was not enough to cause significant changes in the samples distribution in the scores plot, highlighting EDXRF as a promising technique to complement soil erosion studies.

Assessing effects of climate and technology uncertainties in large natural resource allocation problems

Abstract. The productivity of the world's natural resources is critically dependent on a variety of highly uncertain factors, which obscure individual investors and governments that seek to make long-term, sometimes irreversible, investments in their exploration and utilization. These dynamic considerations are poorly represented in disaggregated resource models, as incorporating uncertainty into large-dimensional problems presents a challenging computational task. In this paper, we apply the SCEQ algorithm (Cai and Judd, 2023) to solve a large-scale dynamic stochastic global land resource use problem with stochastic crop yields due to adverse climate impacts and limits on further technological progress. For the same model parameters and bounded shocks, the range of land conversion is considerably smaller for the dynamic stochastic model than for deterministic scenario analysis.

Comparative Life Cycle Assessment of Electric and Internal Combustion Engine Vehicles

This article is devoted to the ecological comparison of electric and internal combustion engine vehicles throughout their entire life cycle, from mining to recycling. A scientifically based approach to a comprehensive environmental assessment of the impact of vehicles on the environment has been developed. To analyze the impact on the environmental situation, aspects such as the consumption of natural resources, waste generation, electricity consumption, emission of harmful substances into the atmosphere, water consumption, and greenhouse gas emissions are taken into consideration. As a result of comparing the environmental impacts of vehicles, it was found that natural resources consumption and production of industrial waste from electric vehicles (EV) is 6 times higher than from internal combustion engine vehicles (ICEV). Harmful substance emissions and greenhouse gas emissions from EV production are 1.65 and 1.5 times higher, respectively. The EV total electricity consumption is 1.4 times higher than that of ICEVs. At the same time, it was revealed that during operation, EVs have higher energy consumption and emit more harmful substances into the atmosphere, but EVs produce less greenhouse gas emissions. It means that at different life cycle stages, EVs have a much higher negative impact on the environment compared to gasoline engine vehicles.

Genomic insights into an endophytic Streptomyces sp. VITGV156 for antimicrobial compounds.

Endophytic Streptomyces sp. are recognized as a potential resource for valuable natural products but are less explored. This study focused on exploring endophytic Streptomyces species residing within tomato plants (Solanum lycopersicum) harboring genes for the production of a novel class of antibiotics. Our research involved the isolation and characterization of Streptomyces sp. VITGV156, a newly identified endophytic Streptomyces species that produces antimicrobial products. VITGV156 harbors a genome of 8.18 mb and codes 6,512 proteins, of which 4,993 are of known function (76.67%) and 1,519 are of unknown function (23.32%). By employing genomic analysis, we elucidate the genome landscape of this microbial strain and shed light on various BGCs responsible for producing polyketide antimicrobial compounds, with particular emphasis on the antibiotic kendomycin. We extended our study by evaluating the antibacterial properties of kendomycin. Overall, this study provides valuable insights into the genome of endophytic Streptomyces species, particularly Streptomyces sp. VITGV156, which are prolific producers of antimicrobial agents. These findings hold promise for further research and exploitation of pharmaceutical compounds, offering opportunities for the development of novel antimicrobial drugs.

Smart Farming Platform Using IoT and UAVs

With the advancement of communication technology, many innovative applications have developed in agriculture as a result of the integration of the Internet of Things (IoT) with unmanned aerial vehicles (UAVs), leading to the modernization of agriculture. This study seeks to propose an effective and low-cost platform for comprehensive monitoring of environmental parameters using IoT and drones.The preparation of this paper was based on a platform that was tested in a realistic environment on a farm near the city of Al-Median in Tunisia, where the platform was built to suit the realistic environment of a farm in Baghdad, through the use of sensors above and below the ground, which meets the experimental work and standards for automated and real-time monitoring. For environmental standards, the unified theory of acceptance and use of technology model was used, which is a model based on four basic elements: 1) expected performance, 2) expected effort, 3) social impact, and 4) facilitating conditions for obtaining results. The unique integration of IoT sensors with drones has shown impressive experimental results, indicating the possibility of performing both automatic and manual actions by humans. These smart moves contribute significantly to promoting precision agriculture, leading to a significant increase in agricultural production and conservation of natural resources.

FITTING G-FAMILY PROBABILITY DISTRIBUTION AT THE RAINFALL DATA OF RAJSHAHI DISTRICT, BANGLADESH

Classical statistical distributions were recognized tool in case of different areas such as biological science, economics, finance, engineering and environmental science. But these types of distribution have some limitations for modeling real data. Researchers are trying to find out the best performing statistical distribution for modeling environmental data by adding extra parameters in these existing distributions which provide super flexibility in modeling. These extend to new families of these distributions generally defined as G-family distribution. Rainfall is one of the most important natural resources for agricultural production. The excess and deficit amount of rainfall sometimes be dangerous for agriculture production. So, the prior knowledge about the pattern of rainfall will help to solve food insecurity, water erosion and water pollution problems. In this study we compare the performance of Gamma uniform G, Log gamma G type-I, Log gamma G type-II , Marshall-Olkin G and Weibull G distribution where we consider lomax, f, chen and Weibull distribution as baseline distribution for modeling the rainfall data in case of Rajshahi district Bangladesh. The monthly rainfall data from January 1971 to December 2020 consider as study period. The empirical study shows that Marshall-Olkin Chen distribution gives better fitting results in case of Rajshahi district. This study will help policy makers to become aware of upcoming situations for solving water related problems.

How natural resource, renewable energy, and energy productivity integrate with environmental quality under the load capacity curve in OECD nations

Previous research highlights the impact of renewable energy (REN) sources and natural resources (NRP) on environmental sustainability, but it leaves out the possible consequences of energy production (EP). Additionally, clean environment is addressed by Sustainable Development Goals 7 and 12. This study evaluates the outcomes of meeting the OECD's carbon zero targets by 2050 as well as the UN Climate Change Conference of the Parties' 2030 carbon neutrality target. Therefore, evaluating how these factors affect the load capacity factor (LCF) may have pertinent ramifications for the government's pursuit of sustainable development objectives. Therefore, the effects of REN, NRP, and energy efficiency on LCF were examined for Organization for Economic Cooperation and Development (OECD) countries. The method of momentum quantile regression (MMQR) is applied during the period of 1990–2022. The results show that REN is increasing LCF by 0.157%–0.161% in four quantiles and NRP is also contributing to environmental quality by 0.385%–0.233% in 25th to 90th quantiles. EP is lowering LCF by 0.091%–0.073% in the long run. The paper provides policy implications for a cleaner environment in OECD nations.