bluuebunny/crossref_metadata_2025 huggingface dataset:
Effectiveness of triticale seed treatment with protective agrochemicals in Priamurye
Authors: Muratov Aleksey , Epifancev Viktor , Tikhonchuk P , Kolesnikova Tat'yana Pavlovna
Published: July 2024

Abstract. The purpose is to establish a productive seed disinfectant for spring triticale varieties with a protective and stimulating effect. During field experiments methods were used that tested pesticides and determined the economic efficiency of using research results in agriculture. The relevance and national and economic significance of the development is determined by farmers’ demand in the extreme conditions of the Far East to increase the efficiency of treating triticale seeds, identifying protective agrochemicals against a complex of diseases that help to improve biological and economic indicators when cultivating triticale. The scientific novelty of research is associated with the establishment of effective agrochemicals to protect seedlings from pathogens of the genus Fusarium and reduce grain losses of spring triticale varieties in years of different meteorological conditions. Results. Biological effectiveness of agrochemicals against fungal diseases Fusarium spp., Alternaria spp. and B. sorokiniana was revealed in laboratory conditions. High biological effectiveness was reveled for “Maxim”, average – for “Kinto Duo” and low – for “Inshur Perform”. The greatest effect from treating seeds with agrochemicals was in Ukro variety, followed by Karmen and Yarilo. Significantly high effectiveness of agrochemicals “Maxim” and “Kinto Duo” against strains of fungi from the genus Fusarium in field conditions was revealed on seedlings of Ukro and Yarilo varieties. The prevalence of diseases in triticale seedlings depended by 24.1 % on year conditions, by 7.7 % on genotype and by 42.3 % on agrochemicals. Fungicidal seed disinfectants “Kinto Duo” and “Maxim” (2 l/t) confirmed the effect declared by the manufacturers and statistically significantly surpassed the seed disinfectant “Inshur Perform” (0.5 l/t) in biological effectiveness and positive effect on grain yield of triticale varieties. They contributed to obtain grain yields that significantly exceeded the control level by 0.3 and 0.33 t/ha. Their conditionally net income in comparison with the option without a fungicides reached +3298.8 and +2314.1 rubles/ha, respectively.
On GAN-based Data Integrity Attacks Against Robotic Spatial Sensing
Authors: Khatib Tamim , Kreidl Patrick , Dutta Ayan , Boloni Ladislau , Roy Swapnoneel
Published: July 2024

Communication is arguably the most important way to enable cooperation among multiple robots. In numerous such settings, robots exchange local sensor measurements to form a global perception of the environment. One example of this setting is adaptive multi-robot informative path planning, where robots’ local measurements are “fused” using probabilistic techniques (e.g., Gaussian process models) for more accurate prediction of the underlying ambient phenomena. In an adversarial setting, in which we assume a malicious entity–-the adversary-–can modify data exchanged during inter-robot communications, these cooperating robots become vulnerable to data integrity attacks. Such attacks on a multi-robot informative path planning system may, for example, replace the original sensor measurements with fake measurements to negatively affect achievable prediction accuracy. In this paper, we study how such an adversary may design data integrity attacks using a Generative Adversarial Network (GAN). Results show the GAN-based techniques learning spatial patterns in training data to produce fake measurements that are relatively undetectable yet significantly degrade prediction accuracy.
Severe Weather Forecasting via the Sole Use of Satellite Data
Authors: D'Urso Brianna , Islam Sheikh Rabiul , Sarker Kamruzzaman , Russell Ingrid
Published: July 2024

The forecasting of (severe) weather/climate systems using satellite telemetry and Machine Learning (ML) is generally held back by the size and availability of the pertaining datasets. This research outlines a newly devised pipeline for the automated construction of concise datasets designed to convert computationally expensive raw data from a netCDF4 database into a simpler format, with the end goal of future use in severe weather forecasting via the sole use of satellite data as an alternative to more conventional, expensive and localized means. By representing components of the dataset as int8 RGB(A) values of PNG images, data can be spatially related in a concise, consistent and visualizable manner that significantly reduces dataset size relative to the size of the raw dataset. This method is used on Atmospheric Motion Vectors (AMVs) derived from multispectral satellite telemetry via Optical flow Code for Tracking, Atmospheric motion vector, and Nowcasting Experiments (OCTANE) in the construction of a dataset capable of use in prediction of future movements of clouds.
STrXL: Approximating Permutation Invariance/Equivariance to Model Arbitrary Cardinality Sets
Authors: Givens Kendra , Ludwig David , Phillips Joshua
Published: July 2024

Current deep-learning techniques for processing sets are limited to a fixed cardinality, causing a steep increase in computational complexity when the set is large. To address this, we have taken techniques used to model long-term dependencies from natural language processing and combined them with the permutation equivariant architecture, Set Transformer (STr). The result is Set Transformer XL (STrXL), a novel deep learning model capable of extending to sets of arbitrary cardinality given fixed computing resources. STrXL's extension capability lies in its recurrent architecture. Rather than processing the entire set at once, STrXL processes only a portion of the set at a time and uses a memory mechanism to provide additional input from the past. STrXL is particularly applicable to processing sets of high-throughput sequencing (HTS) samples of DNA sequences as their set sizes can range into hundreds of thousands. When tasked with classifying HTS prairie soil samples and MNIST digits, results show that STrXL exhibits an expected memory size-accuracy trade-off that scales proportionally with the complexity of downstream tasks, but, unlike STr, is capable of generalizing to sets of arbitrary cardinality.
AI-Driven Emergency Patient Flow Optimization is Both an Unmissable Opportunity and a Risk of Systematizing Health Disparities
Authors: Russon Dylan , Avalos Marta , Guerra-Adames Ariel , Gil-Jardiné Cédric , Lagarde Emmanuel
Published: July 2024

There is a burgeoning interest in harnessing artificial intelligence (AI) to enhance patient flow within emergency departments (EDs). However, this advancement is accompanied by a significant risk: by relying on historical healthcare data, these AI tools may perpetuate existing systemic biases associated with gender, age, ethnicity, and socioeconomic status. This paper surveys studies identifying biases in ED data, offering context for concern about these biases. These insights are valuable for researchers developing AI to optimize ED workflows while accounting for ethical considerations.
Attention-Driven Multi-Agent Reinforcement Learning: Enhancing Decisions with Expertise-Informed Tasks
Authors: Kuroswiski Andre , Wu Annie , Passaro Angelo
Published: July 2024

In this paper, we introduce an alternative approach to enhancing Multi-Agent Reinforcement Learning (MARL) through the integration of domain knowledge and attention-based policy mechanisms. Our methodology focuses on the incorporation of domain-specific expertise into the learning process, which simplifies the development of collaborative behaviors. This approach aims to reduce the complexity and learning overhead typically associated with MARL by enabling agents to concentrate on essential aspects of complex tasks, thus optimizing the learning curve. The utilization of attention mechanisms plays a key role in our model. It allows for the effective processing of dynamic context data and nuanced agent interactions, leading to more refined decision-making. Applied in standard MARL scenarios, such as the Stanford Intelligent Systems Laboratory (SISL) Pursuit and Multi-Particle Environments (MPE) Simple Spread, our method has been shown to improve both learning efficiency and the effectiveness of collaborative behaviors. The results indicate that our attention-based approach can be a viable approach for improving the efficiency of MARL training process, integrating domain-specific knowledge at the action level.
Dynamic Anchoring Agent: A Probabilistic Object Anchoring Framework for Semantic World Modeling
Authors: Yi Zongyao , Günther Martin , Hertzberg Joachim
Published: July 2024

Semantic world modeling has been studied extensively, with the goal of enabling robots to understand and interact with their environment. However, existing approaches to semantic world modeling rely on well-defined perceptual data, such as distinct visual features. In situations where different objects are difficult to distinguish based on perceptual data alone, the resulting world model will be ambiguous and inconsistent. To address this challenge, we present the Dynamic Anchoring Agent (DAA), a probabilistic object anchoring framework for semantic world modeling that uses domain knowledge and reasoning to handle the ambiguity of sensor data through probabilistic anchoring. It includes a Multiple Hypothesis Tracker (MHT) as a filter for noisy observations, and a knowledge base that encodes domain knowledge and scene context to reduce uncertainty in the anchoring process. The framework is evaluated on both synthetic and real-world datasets, demonstrating its effectiveness in resolving association ambiguities in the presence of identical-looking instances. It has also been integrated into a real robot platform. We show that with the help of domain knowledge and scene context, the proposed framework outperforms traditional pure data-based algorithms in terms of identification accuracy, and can effectively resolve ambiguities between sensor-identical object instances.
Eksklusifisme Pendidikan: Studi Kasus di SMK At-Tholibiyah Bumijawa Tegal
Authors: Afifurrohman Muh , Zamzami Muh. Rodhi
Published: July 2024

Artikel ini menyoroti peraturan wajib bercadar yang diterapkan di SMK At-Tholibiyah Tegal yang disinyalir sebagai bagian dari eksklusivisme pendidikan. Sedangkan eksklusivisme berpotensi meningkat menjadi radikalisme, bahkan terorisme. Akan tetapi, hasil temuan artikel ini menunjukkan bahwa peraturan wajib bercadar yang dinilai mencerminkan sikap eksklusivisme, bertolak-belakang dengan pemahaman, sikap, perbuatan dan kurikulum pendidikan yang diajarkan di SMK At-Tholibiyah yang justru mengajarkan nilai-nilai cinta agama dan negara. Di sisi lain, banyak indikator lain yang menunjukkan pemahaman, sikap dan perbuatan inklusif yang dilakukan oleh civitas akademika SMK At-Tholibiyah Tegal.
Perlindungan Data Pribadi Konsumen Pinjaman Online Menurut UU No. 27 Tahun 2022
Authors: Lathifah Dina Shafa’ul , Maulani Vicka Rizqi
Published: July 2024

Berkembangnya teknologi memudahkan masyarakat untuk memenuhi kebutuhan hidupnya secara daring, seperti melakukan pinjaman online (pinjol). Problemnya, Data Pribadi konsumen pinjol kerap disalahgunakan. Oleh sebab itu, Data Pribadi perlu mendapat perlindungan hukum demi keamanan konsumen pinjol. Dari sini, pemerintah mengeluarkan Undang-Undang Nomor 27 Tahun 2022 tentang Perlindungan Data Pribadi. Artikel ini memakai pendekatan yuridis, konseptual dan studi kasus untuk menelaah UU tersebut. Artikel ini membahas tentang pengertian terminologis Data Pribadi dan Pinjaman Online; dilanjutkan ulasan perlindungan hukum bagi konsumen Pinjol dalam Perundang-Undangan; ditutup dengan tips bagi calon konsumen maupun konsumen aktif Pinjol.
Konsep Pengembangan Pendidikan Islam Multikultural
Authors: Wahyu Indah Sulistyaningsih
Published: July 2024

Multicultural Islamic Religious Education can become an Indonesian curriculum to develop the core values ​​of the Islamic religion that are rahmatan lil alamin in the midst of multicultural Indonesian society. The aim of this research is to analyze the concept of multicultural Islamic education. This research uses a qualitative approach with the type of literature study. The results of this research are the concept of developing multicultural Islamic education, which has at least two meanings, namely quantitative and qualitative development. Quantitatively, how can Islamic education that accommodates the spirit or values ​​of multiculturalism have greater, more even and wider influence in the educational context in general, including in the lives of Indonesian society as a whole. As for qualitatively, how to make multicultural Islamic education better, better quality and more advanced in line with the basic values ​​of Islamic teachings.
Interactive Effects of Carbon Dioxide Molecules, Demographic Changes on Financial Development in Sub-Saharan Africa
Authors: Manasseh Charles O. , Logan Chine Sp , Igwemeka Ebele C. , Ekwunife Faith C. , Onoh Chukwunonso F. , Okanya Ogochukwu C. , Eje Grace C. , Ezechi Kingsley C. , Okonkwo Wilfred O.
Published: July 2024

This study examines the interaction impacts of carbon dioxide molecule emissions and population changes on financial development in Sub-Saharan Africa (SSA). The study used yearly time series data spanning the years 2000 to 2021. Following the PMG and FE results, the dynamic system GMM estimator was used in the study. The study found a significant inverse long-run relationship between carbon dioxide (CO2) emissions and financial development. Also, demographic changes have a significant positive impact on financial development. The interaction term findings demonstrate that changes in CO2 and GHG emissions have a negative and significant influence on the impact of the money supply ratio on financial development in SSA. The study suggests policies that support the adoption of financial aid or other incentives for initiatives that reduce CO2 emissions. Additionally, initiatives to support financial inclusion, uphold financial stability, encourage the expansion of infrastructure, advance social welfare, and ensure environmental sustainability should be made. Therefore, the SSA countries might benefit from their expanding populations to drive long-term economic expansion and improve living standards for their people.
Utilization of Space Based on Renewable Energy in the New City of Moncongloe-Pattalassang Metropolitan Mamminasata, Indonesia
Authors: Surya Batara , Syafri Syafri , Thamrin Rahmawati , Sariman Syahrul , Hernita Hernita , Salim Agus , Nasrullah Nasrullah
Published: July 2024

Allocation of space in the development of new city areas for the needs of socio-economic activities contributes to the complexity of land use and environmental degradation. This study aims to: (1) Analyze the effect of space utilization allocation, activity systems, and population mobility on the increase in energy demand for the new city of Moncongloe-Pattalasang; (2) Analyze the direct and indirect effects of activity systems, changes in land use, allocation of space use, on the need for renewable energy, and improving the environmental quality of new city areas; and (3) Formulate a model of space utilization based on renewable energy and the sustainability of new city development. This study uses a qualitative and quantitative approach. Data obtained through observation, surveys, in-depth interviews, and documentation. The results of the study show that the allocation of space utilization coupled with the use of renewable energy contributes to improving the environmental quality of the new city of Moncongloe-Pattalassang. The allocation of space utilization, activity systems, and population mobility explains that 97.61% of the energy needs of the new city of Moncongloe-Pattalassang. Furthermore, the influence of the total activity system, changes in land use, and allocation of space use on renewable energy needs contributed 60.58% and the direct influence of renewable energy demand on improving the environmental quality of the new city of Moncongloe-Pattalassang was 67.73%. This study recommends the use of renewable energy to support social activity functions towards improving environmental quality and the sustainability of the development of the new city area Moncongloe-Pattalassang.
Diaspora of Energy: A Case of Oil Production and Consumption
Authors: Khurshid Muzammil , Azeem Muhammad , Ahmad Nisar , Rehman Jamshaid Ur , Umar Sajjad
Published: July 2024

The study evaluates the nexus among oil prices, macro-economic indicators and stock returns of three Asian emerging oil-importing and three Asian emerging oil-exporting economies over a period from 2014 to 2019 on monthly observations. The study has made use of measure of association by applying VAR methodology. The results of the study indicate that oil prices movements have substantial impact on stock market trends whereas, the said impact varies depending upon the inherited macroeconomic condition of county. As regarding the oil-exporting countries the movement of oil prices is also equally important for the stock market behavior.
Integrative Mechanisms Towards Zero Emissions Regional Planning: An Enabler of Regional Development: A Case Study of Europe
Authors: Kalogiannidis Stavros , Kontsas Stamatis , Syndoukas Dimitrios , Chatzitheodoridis Fotios
Published: July 2024

This study explores the role of integrative mechanisms in facilitating zero emissions regional planning, acting as a catalyst for regional development within Europe. Utilizing a quantitative methodology and questionnaire, data were collected from 384 European regions, followed by rigorous statistical analysis. The findings highlight the significance of effective integrative mechanisms in achieving zero emissions, confirming a positive impact on regional development.  The results show that Zero emissions regional planning positively impacts regional development. This study also notes that the presence of identifiable challenges (e.g., financial constraints, policy conflicts, technological gaps) significantly hinders the alignment of regional development objectives with zero-emissions targets. These results have substantial implications for stakeholders, emphasizing the need for a collaborative approach in regional planning and suggesting pathways for future research endeavors. Policymakers should pay particular attention to the challenges identified in the study, such as financial constraints, policy conflicts, technological gaps, and cultural resistance to change. Strategies should be developed to mitigate these challenges, including creating financial mechanisms to support zero-emissions initiatives, harmonizing policies at various levels of governance, investing in technology transfer and innovation, and implementing educational and awareness programs to change cultural attitudes.
The Dynamic Impact of Environmental Sustainability, Green Finance, and FinTech on Energy Efficiency in Middle Eastern Economies
Authors: Al-Kasasbeh Omar , Al-Khazaleh Suhaib Mohammed , Alsheikh Ghaith
Published: July 2024

Middle Eastern countries have prioritized energy efficiency in their policy, regarding the adverse environmental consequences of relying heavily on fossil fuels. Over time, their reliance on fossil fuels for energy generation and imports has resulted in a continual rise in greenhouse gas emissions. Nevertheless, Middle Eastern countries possess considerable capacity for renewable energy resources that can be utilized without causing harm to the environment. This study empirically examines the effect of green finance, environmental sustainability, and fin-tech on energy efficiency using panel data from 2012 to 2023 in Middle Eastern countries: Turkey, Saudi Arabia, Kuwait, Qatar, and the United Arab Emirates. The study achieved its aims by employing a range of econometric methodologies. The CIPS and IPS procedures are employed to analyze unit root attributes, while the panel cointegration methodology of Westerlund (2007) is used to examine cointegration. The results indicate that there is cointegration among the variables that were analyzed. The outcomes provide helpful knowledge regarding the development of energy efficiency in Middle Eastern countries.
Time Varying Causality between Oil Price and Precious Metals : Bootstrap Rolling Windows Granger Causality Approach
Authors: Zardoub Amna
Published: July 2024

The study of the interaction between oil price and precious metals occupies a research activity and pushes various economists to seek implications both on the economic and political level. It is also important to take into account the evolution of the oil and precious metals markets throughout the period of the COVID-19 pandemic and recently the Ukraine-Russian war. In this paper, we examine the link between the oil price and three types of precious metals namely gold, silver and platinum using the rolling window Granger bootstrap causality method. The study is conducted on the monthly data of oil price and precious metals from the period span from January, 2004 to May, 2022. The empirical results lead to a strong unidirectional causality between oil and platinum and absence of causality between oil and the other two metals.
Uncertainties, Employment and the Zero Lower Bound
Authors: Nie Qing , Brown Xin L. , Liu Baohui , Morshed Maruf
Published: July 2024

The purpose of this paper is to study the response of aggregate and sectoral employment in the United States to shocks and uncertainties in the oil and macro markets. To estimate the actual dataset, we employ a VAR model with 12 variables using U.S. data during 1986Q1-2021Q4. With alternative oil and macroeconomic uncertainties and different monetary authorities, we find that employment is significantly affected by both types of uncertainty when zero lower bound (ZLB) binds. Total employment and oil-related industries employment show a significant increase in the presence of the ZLB and the propagation of uncertainty shock from the oil market. These findings highlight the empirical relevance of oil prices and macroeconomic uncertainty on U.S. labor market dynamics.
Investigating the Effect of Gross Capital Formation on Carbon Emissions in Somalia
Authors: Nur Abdirahman Mohamed , Adan Ahmed Hassan , Ahmed Ahmed Dahir , Gutale Ali Abdukadir Ali , Ali Ali Yassin Sheikh , Dalmar Mohamed Saney
Published: July 2024

The advent of climate change has evolved into a paramount challenge for humanity, prompting extensive endeavors to mitigate its consequences. This research delves into the influence between gross capital formation (GCF) and carbon dioxide emissions in Somalia, spanning the years 1991-2019. To scrutinize the long-term associations among the variables under consideration, the study employed autoregressive distributed lag (ARDL) model. Additionally, to ensure the robustness of the study, both dynamic ordinary least squares and fully modified ordinary least squares were applied. Contrary to expectations, the findings indicate that GCF does not exert a significant influence on carbon dioxide emissions. The study advocates for the implementation of a comprehensive environmental policy framework that considers a spectrum of contributing factors beyond GCF. To address the multifaceted nature of environmental challenges, the study recommends initiatives such as diversification of energy sources, technology transfer, promotion of sustainable practices, and integration of climate resilience.
Green Growth or Economic Gain? Assessing Environmental Efficiency Using Data Envelopment Analysis: Case of Africa
Authors: Ikram Benomar , Mariame Ababou
Published: July 2024

In the African context, achieving sustainable development while fostering economic growth and environmental conservation presents a formidable challenge. This article employs Data Envelopment Analysis (DEA) to assess the environmental efficiency of 34 African countries from 2013 to 2022. Using key economic indicators such as Foreign Direct Investment (FDI), Logistics Performance Index (LPI), and Gross Domestic Product (GDP) relative to CO2 emissions, the study evaluates the ability of African nations to optimize economic output while minimizing environmental impact. The analysis reveals significant heterogeneity in environmental efficiency levels among countries, with some demonstrating high efficiency, while others exhibit room for improvement. Factors such as FDI, LPI, and GDP play pivotal roles in shaping environmental outcomes, highlighting the need for sustainable investment practices and infrastructure development. Peer comparison and output slack analysis provide further insights, identifying opportunities for enhancing efficiency and promoting sustainable growth. Case studies of South Africa, Mali, and Zambia underscore varying degrees of environmental efficiency and offer valuable lessons for sustainable development across the continent. Overall, the findings contribute to a deeper understanding of environmental efficiency in Africa and provide a roadmap for policymakers to pursue greener and more inclusive development trajectories.
The Triple Impact of Innovation, Financial Inclusion and Renewable Energy Consumption on Environmental Quality in Some Emerging Economies
Authors: Kaplan Muhittin , Rahman Mohammed Muntaka Abdul , Khan Asad-ul-Islam , Vergil Hasan
Published: July 2024

This paper investigates the triple impact of innovation, financial inclusion, and renewable energy consumption on the quality of the environment. The study employed data between 2007 and 2019 from selected emerging economies. Using the fixed effect, two-step GMM econometric method. The result found that financial inclusion and innovation have a positive relationship with carbon emissions, hence contributing to the reduction in the quality of the environment. Renewable energy consumption was found to reduce carbon emissions. Similarly, the interactive terms TPT*FIN, FIN*REN, and TPT*REN were all negatively related to carbon emissions. The study recommends that governments should increase financial instruments to support innovation that will enhance environmental quality. Additionally, governments should strengthen their environmental policies. Financial institutions should encourage firms to access green finance solutions. The value and originality of this study is the introduction of the interactive term, which throws more light on variables that affect the environment and through which channels. Moreso, there are few works with these interactive terms relative to emerging economies. Third, there are no previous studies that employed the fixed effect two-step GMM to analyze the impact of financial inclusion, technological innovation, and renewable energy consumption on environmental quality.
Examining the Asymmetric Effects of Renewable Energy Use, Financial Development, and Trade Openness on Economic Growth in D-8 Islamic Countries
Authors: Ahmad Ali Umar , Abubakar Atiku Muhammad , Senan Nabil Ahmed Mareai , Gwadabe Uzairu Muhammad , Mohammed Badamasi Sani , Muhammad Maikudi , AL-Yazidi Abdulrahman Mohammed Hasan , Sani Bashir Yakubu , Jamiu Mustapha , Mustapha Umar Aliyu
Published: July 2024

This study investigates the asymmetric impacts of financial development, renewable energy consumption, and trade openness on economic growth in D-8 Islamic countries from 1970 to 2022, using advanced panel data techniques. The findings reveal long-run equilibrium relationships, with financial development and trade openness positively affecting gross domestic product (GDP) growth, while renewable energy exhibits an unexpected negative coefficient. The non-linear autoregressive distributed lag estimates uncover asymmetries, with larger GDP contractions from downside shocks in financial development and trade openness. Renewable energy shows growth penalties from negative changes but symmetric upside benefits. The results highlight the importance of well-developed financial systems, strategic renewable investments, and trade integration for sustainable growth. Policymakers should focus on financial reforms, renewable project facilitation, and reducing trade barriers, considering asymmetric impacts. This study contributes novel empirical evidence on asymmetric dynamics among these variables in D-8 countries, extending the literature through recent non-linear panel modeling techniques and demonstrating the merits of accounting for asymmetries. The combination of methods offers a robust and fresh perspective.
Exploring the Impact of Good Governance and Innovation on Export Earnings, Clean Energy, Remittances, and Zero Carbon Emissions in Sub-Saharan African Countries
Authors: Mindia Piana Monsur , Qamruzzaman Md , Farzana Nusrat
Published: July 2024

The research examines how to export earnings, remittances, good governance, clean energy, innovation, and carbon neutrality are interconnected in Sub-Saharan African countries from 2001 to 2020. By using panel data analysis methods, the study explores the connections between these factors to understand the factors influencing carbon neutrality and their impact on sustainable development in the region. The analysis indicates that export earnings, remittances, and clean energy positively correlate with achieving carbon neutrality. Export earnings drive economic growth and support investments in cleaner technologies and environmental sustainability. Remittances boost household incomes, enabling the adoption of cleaner energy sources. Additionally, using clean energy technologies is linked to lower carbon emissions, emphasizing the need to transition to renewable energy sources for carbon neutrality. Conversely, the findings suggest negative connections between good governance, innovation, and achieving carbon neutrality. Countries with stable governance tend to have lower carbon emissions due to the effective implementation of environmental policies. However, the negative link between innovation and carbon neutrality implies that technological progress can increase emissions without investments in clean energy and sustainable practices. The study also highlights the significance of good governance in enforcing environmental policies. Furthermore, it stresses the need to balance economic growth with environmental sustainability, emphasizing the role of innovation in achieving sustainable development. The study adds to current research by presenting data on the factors influencing carbon neutrality in Sub-Saharan Africa. It highlights the connections between export earnings, remittances, governance, innovation, clean energy, and carbon neutrality, offering vital information for policymakers aiming to encourage sustainable development and address climate change in the area.
An Applied Study of the Symmetric and Asymmetric Impact of Oil Prices and International Financial Markets on Economic Growth in Iraq
Authors: Khaleel Moustfa Ismael , Jabbar Ahmed Younis , Kalai Maha , Aloulou Rima , Helali Kamel
Published: July 2024

Iraq, one of the main oil exporting nations, is extremely susceptible to changes in the price of oil. This article attempts to investigate how the price of oil affects the way the Iraqi economy performs, as indicated by a number of factors (economic growth and international financial markets). We will apply econometric techniques in both linear and non-linear frameworks to accomplish this goal. To represent NARDL non-linearities in the relationship between the aforementioned economic variables, we will first look for linear cointegrating correlations and/or estimate ARDL models. If necessary, we will next use threshold cointegration. Thus, we demonstrate that, independent of the regime we are in, the asymmetry associated with the shock's sign is confirmed over the span January 2006–December 2020. Regarding the asymmetry associated with the shock's magnitude, it is only confirmed under the "below oil price threshold regime." In the "above oil price threshold regime," yields respond in a way that is proportionate to the shock's magnitude. Additionally, we demonstrate that the asymmetry associated with the shock's sign is confirmed during times of negative industrial output growth, while the influence of shocks looks symmetrical during times of positive industrial production variation.
Carbon Strategy, Political Connection and Carbon Performance: Evidence from Polluting Industries
Authors: Kawulur Hisky Ryan , Saraswati Erwin , Ghofar Abdul , Prastiwi Arum
Published: July 2024

The increase in carbon emissions poses a significant threat to corporate performance, necessitating appropriate mitigation measures and strategies. However, the role of carbon strategies and political connections in enhancing carbon performance remains a subject of debate. Hence, this research examines the relationship between carbon strategies, types of carbon strategies, and political connections with carbon performance in polluting industries in Indonesia. The sample consist of 192 firm-year companies during 2016-2022. This study found: First, a combination of various types of carbon strategies will drive improvements in carbon performance. Second, compensation mechanisms can mitigate carbon emissions excesses. Third, the implementation of mitigation measures through innovation in processes and products can reduce carbon emissions. Fourth, political connections exacerbate corporate carbon performance. The research outcomes contribute to companies by providing insights into mitigation measures that can be undertaken to reduce carbon emissions and promote the achievement of Indonesia's vision of net-zero emissions.
Smart Initiatives to Drive Solar Energy Investments under Environmental Uncertainty: Exploring Linear and Quadratic Relationships
Authors: Sam Aloysius , Appiah Michael Karikari , Ameko Elikplim , Bonsu Beverly Akomea
Published: July 2024

Solar energy is an environmentally friendly and reliable source of electricity and contributes immensely towards achieving Sustainable Development Goal (SDG) 7. The quantity of solar radiation reaching the earth's surface offers enough prospects for solar and green energy investments. This study aims to develop an integrated model to explain the effects of sustainability-enabled initiatives on sustainable investment adoption and solar energy investment and to ascertain whether the relationship between solar energy investment and environmental uncertainty is parabolic (quadratic) or linear. Cross-sectional survey data from private companies in Ghana has been used. SMART-PLS version 3.3.9 has been used to analyse and confirm our hypotheses. The results showed that sustainability initiatives (e.g., supply chain integration, institutionalization, supply chain resilience, innovativeness, climate literacy, and justice) were found to be linear. Moreover, sustainable investment adoption moderates the relationships between various factors identified and solar energy investment. Again, environmental uncertainty confirmed a quadratic relationship with solar energy investment. By implications, this paper is the first of its kind to uniquely apply quadratic analysis in the context of renewable energy investment and sustainable energy in Ghana. The newly developed integrated model could be used to explain the drivers of sustainable investment adoption and solar energy investment in Ghana and beyond. Besides, the results will stimulate and re-enforce Ghana’s renewable energy policies (Act 832 and Act 1045) towards the realisation of SDGs 7 and 13.
An Assessment of the Relationship between Profitability and Energy Intensity for Technology Oriented Manufacturing Firms in India
Authors: Alavani Helan Alias Vaibhavi Kabirdas , Shukla Richa , Patnaik Debasis
Published: July 2024

The hypothesis put forth by Porter and Linde (1995) suggests imposing regulation to promote energy efficiency can lead to improved innovation and performance among firms. This study seeks to explore this theoretical premise in the Indian manufacturing sector by analysing the influence of energy intensity on profitability of firms belonging to the Perform Achieve and Trade (PAT) regulated sectors, with a particular focus on classifying technology oriented firms. The study examines seven manufacturing industries from the first cycle of the PAT policy. Two measures of energy intensity indicators, namely the physical economic indicator and the economic indicator, are included in the study. The empirical analysis is divided into two categories: Firms that import technology (714 firms) and firms that do not import technology (752 firms). The study employs panel data analysis with a fixed effect model to conduct the analysis for the time period 2011-2020. Based on empirical analysis, it appears that firms that import technology exhibit a negative relationship between energy intensity and firm performance. Non-technology importing firms exhibit a similar relationship but with a higher coefficient value for energy intensity. The study also includes control variables such as firm size, age, capital intensity, raw material imports, and market concentration. The results show that relatively small to medium-sized firms, which are also young and striving to expand their market size, achieve energy efficiency gains. This highlights the reluctance of established players to improve their performance efficiency through technological up gradation.
Opportunities and Prospects for Hydrogen Production in Azerbaijan: Steps towards the Transition to a Hydrogen Economy
Authors: Hamidova Lala , Samedova Elnara
Published: July 2024

Hydrogen plays a key role in reducing greenhouse gas emissions, enabling decarbonization of the energy, transport and industrial sectors. Its importance in the energy balance will increase for several reasons. Firstly, in the modern world there is a transition to carbon-free energy, which stimulates the use of hydrogen. Secondly, a balanced system based on renewable energy sources is important to ensure stability and reliability of energy supply. The purpose of the study is to study the prospects for hydrogen production for the transition to sustainable development of the Azerbaijani economy. During the study, research methods such as graphical analysis, comparison of blue and green hydrogen production scenarios, analysis and synthesis method, and dynamic comparison method were used. The results of the study showed that in order to transition to a hydrogen economy in Azerbaijan, it is preferable to start with the production of blue hydrogen. There is potential for this in the form of rich natural gas reserves (confirmed gas reserves are 2.6 trillion cubic meters). With the advent of new technologies and lower production costs, a transition to green hydrogen will be possible. For this purpose, the country has a technical potential for renewable energy sources amounting to 135 GW on land and 157 GW at sea. The conclusions are that in order to transition to a hydrogen economy in Azerbaijan, it is necessary to adopt a strategy for transitioning the economy to a hydrogen basis, developing infrastructure, attracting investments in the modernization of chemical enterprises, and switching public transport to the use of hydrogen.
The Bright Revolution: Accelerating Adoption of Solar Energy in India’s Dynamic Landscape
Authors: Chawla Udit , Mohnot Rajesh , Fadahunsi Akinola , Mulchandani Devika
Published: July 2024

This research paper delves into the global shift towards sustainable energy, focusing on the substantial energy consumption and greenhouse gas emissions of the agricultural sector. Emphasizing the need for cleaner energy sources, particularly solar technology, the study scrutinizes the cases of India to unravel the complexities influencing the adoption of solar technology in diverse socio-economic landscapes. The paper aims to contribute to the ongoing conversation about energy transition, providing a nuanced understanding of challenges and opportunities associated with widespread solar technology deployment. Focusing on solar technology as a transformative solution, the paper explores adoption and integration challenges, considering India as a case study due to its abundant solar resources. The research examines technological, economic, social, and institutional forces to illuminate the potential of solar technology in shaping sustainable and inclusive energy landscapes. The paper underscores the importance of community support for renewable energy projects and addresses material and attitudinal influences. Geographical location, government policies, and awareness campaigns are identified as critical elements for successful solar technology integration.
Nexus between Innovation and Ecological Impact: A Moderated Mediation Investigation through Structural Equation Modeling Approach
Authors: Sulehri Fiaz Ahmad , Audi Marc , Poulin Marc , Ali Amjad
Published: July 2024

Controlling ecological deterioration is critical for the well-being of current and future generations, as it ensures a sustainable environment that promotes health, productivity, and the general quality of life. This study investigates the interplay between innovation, economic growth, and ecological impact across 18 countries, which collectively account for approximately 64% of global greenhouse gas emissions, using data from 2000 to 2022. Using the structural equation modeling approach, we investigate how the regulatory framework moderates and economic growth mediates these complex relationships. The empirical results reveal that innovation positively impacts economic growth, but this effect is statistically insignificant. Similarly, economic growth contributes significantly to environmental degradation. Moreover, the interaction between innovation and the regulatory framework leads to a decline in economic growth. Furthermore, innovation alone in a direct relationship, reduces ecological impact significantly but innovation and regulatory framework jointly increase ecological impact. Economic growth plays a significant role in mediating the relationship between the interaction term and ecological impact, but it does not significantly influence the relationship between innovation and ecological impact, according to empirical evidence. These insights are vital for policymakers to develop strategies that encourage sustainable growth and innovation.
Design Organizational Health and Organizational Performance through the Workplace Spirituality, Adaptive Innovation Capabilities and Involvement HRM Practices: An Indonesia Cased Study
Authors: H. S. Ikhwan , Himawati Ditiya , Utomo Joko , Yanti Etyca Rizky
Published: July 2024

The purpose of this study is to examine the effect of Workplace Spirituality (WPS), Adaptive Innovation Capabilities (AIC) and Involvement HRM Practices (HRM-P) on organizational performance (OP) mediated by organizational health (OH). This study uses primary data collected through a survey using a questionnaire distributed to managers in 150 finance companies operating in Indonesia using a convenience sampling method for 6 months. The questionnaire underwent validation and reliability assessment through factor analysis and internal consistency analysis using Cronbach's Alpha. Data examination involved assessing the relationship between research variables via bivariate correlation. Additionally, the relationship model, encompassing both direct and mediation models, underwent testing using Structural Equation Modeling (SEM) with the SmartPLS 3.0 software. The results of testing the five variables show that the correlation between the variables studied is significant and quite strong. This shows that Workplace Spirituality, Adaptive Innovation Capability, Involvement HRM Practices, and Organization Health are related to Organization Performance. Furthermore, the organizational health variable is proven to mediate the relationship between the three variables on organizational performance. The conclusion of this study are limited to the finance company sector, perhaps further research needs to be developed on non-financial companies which opens up the possibility of further research and its practical and theoretical implications can be studied further. Research gaps as a basis for future research directions are still scarce and needed.
Factors Influencing Consumers’ Attitudes towards Digital Communications within the South African Banking Industry
Authors: Sharp Kirsty-Lee , Lues Heleneze , Klonaridis Rita , Van Deventer Marko , Müller Re-an , Redda Ephrem
Published: July 2024

The purpose of this study was to explore the factors that influence consumers’ attitudes towards digital communications within the South African banking industry by validating a six-factor model and determining the influence of entertainment, invasiveness, personalisation, informativeness and credibility of banks’ digital communication on consumers’ attitudes towards the digital communication of banks. The identified respondents for this study constituted 500 South African adults aged 18 years and older. This sample size was in line with the requirements for structural equation modelling (SEM), which was the primary method used to analyse the captured data. When collecting the data, the services of a market research company were employed. A computer-administered questionnaire, including a cover letter outlining the purpose of the study, as well as a section that requested demographic information was used. As per the findings of this study, the model presents acceptable reliability and adequate model fit. Consequently, the hypothesised model includes six factors, namely entertainment, informativeness, credibility, personalisation, invasiveness and attitudes. The model and recommendations in this study may assist banks in their efforts to continuously assess and improve how they create, manage and enhance their digital communications.
The Brain Drain of Moroccan IT Profiles: An Exploratory Qualitative Study within Y and Z Generations
Authors: Gassemi Karim , Aniba Loubna
Published: July 2024

The objective of this study is to identify and analyze the main factors driving young Moroccan IT professionals to emigrate. Through qualitative exploratory research, we aim to explore the Brain Drain within individuals belonging to the Y and Z generations. The theoretical model of this study was based on Lee's (1996) general framework. The research methodology was based on conducting semi-structured interviews with 22 young IT professionals who have either already emigrated with significant years of experience. This qualitative approach allows us to understand the multifaceted nature of their decision-making process. Through the data analysis, we have identified three dichotomous factors that serve as both push and pull factors, contributing to the phenomenon of brain drain among young IT professionals in Morocco. These factors include economic considerations, professional aspirations and social dynamics. Each factor plays a distinct yet interconnected role in shaping individuals' decisions to emigrate.
The Impact of Green Corporate Social Responsibility on Employee Green Well-being and Creativity
Authors: Bettayeb Hafidha , Al-Hawari Mohammad
Published: July 2024

This paper assesses the impact of green Corporate Social Responsibility (CSR) on employee green well-being and creativity among hospitality enterprises in the United Arab Emirates (UAE). It considers the moderating impact of employee green value on the relationship between employee green well-being and creativity. The study employed a quantitative research design, utilizing 213 responses from employees working in hospitality firms in various cities across the UAE. It used the statistical software Smart PLS, which revealed two key findings. First, employees reported higher levels of well-being when their companies placed a greater emphasis on green CSR. Second, the study findings showed a positive relationship between employee green well-being and creativity. However, the discussion found no strong evidence supporting the importance of employee green value as a moderator. These findings have significant implications for the hospitality industry, as they propose that incorporating green CSR projects into strategic planning and development processes can improve employee green well-being and creativity, which will ultimately enhance the company’s performance.