Economy Model Research Articles

DIGITALLY DRIVEN MODEL OF A CLIMATE-NEUTRAL ECONOMY IN TERMS OF GLOBAL FINANCIAL CAPACITY

The article explores the conditions and drivers for the development of a climate-neutral economy model, emphasizing the pivotal role of digital transformation. A crucial lever in deploying this model is the proactive engagement of international financial entities within the realm of global green financing. The study highlights the instrumental role of green funds as key players in shaping global financial capacity and providing multilateral support for climate change adaptation worldwide. It delves into the overarching frameworks and mechanisms of such assistance. Employing a systematic analysis alongside case studies of the Green Climate Fund's projects, the authors aim to identify the most impactful sectors for cultivating a climate-neutral economy. The research identifies four essential segments for achieving climate neutrality: digitalization for climate, strengthening the financial capacity and business sustainability, rethinking ecosystem development, and community empowerment. The investigation draws on extensive data regarding the execution of 240 climate projects across major beneficiaries of climate finance in Eastern Europe, Africa, the Asia-Pacific, and Latin America. It shows that modern climate finance demonstrates signs of geopolitical dependency and polarization in global influence. The findings argue for bolstering the regional presence of climate funds to increase the financial capacity to implement climate-neutral projects at the local level. The article underscores the scale of financial support required across each segment, as well as the leading role of pre-project preparation. The authors substantiate the overarching and twofold role of digitalization in the model of a climate-neutral economy. The digital transformation produces a whole cluster of independent and versatile IT products for green businesses, industries and governance. On the other hand, digitalization creates an informational environment and a powerful digital infrastructure for better efficacy of other crucial segments. Specifically, it provides digital decisions for financial solvency and sustainability of green businesses in terms of green lending, grants and Fintech; strengthens information awareness and involvement of vulnerable communities in green economy processes; promotes digital support for overall ecosystem adaptation.

Purification of olive mill waste: a circular economy model for the Mediterranean region

Purification of olive mill waste: a circular economy model for the Mediterranean region

Pelatihan dan Pembinaan Ekonomi Kreatif Pada BUMDes dan PKK Desa Kaladawa

BUMDES is a legal entity established by the village and/or together with the village to manage the business, utilize assets, develop investment and productivity, provide services, and/or provide other types of businesses for the greater welfare of the village community. So BUMDES itself is an economic activity that is managed independently by villagers. The Community Empowerment (PKM) activity carried out in Kaladawa Village is a creative economy training for youth organizations, aiming to apply a creative economy model so that youth youth organizations in Kaladawa village to create productive and creative people. This activity was held on Thursday, May 30, 2024, attended by 30 (thirty) participants consisting of the Village Head and his apparatus, Bumdes, Youth Organisation Youth and PKK women.

Harmonizing the BCG model with logic of curriculum and maxims of teaching for maximizing effective teaching-learning

The Bio-Circular Green Economy Model introduced by Thailand aims to create a sustainable, inclusive society, economy and environment, through application of science, technology and innovation, using Thailand’s comparative advantage in biological and cultural diversity into competitive advantage. The importance of BCG model encompasses every country that aims to thrive through a culture of equity, inclusion and sustainability. India being one such country which does have a comparative advantage of cultural and environmental diversity, there lies need to promote equity, inclusion, innovation, economic and cultural responsiveness in its society. Educational scenario in India had showcased teachers as entities who tend to control the students and pour knowledge into them. The primary goal of every teaching learning process is maximum outcome of learning which includes behaviour modification, and therefore the maxims of teaching are the general principles which guides every teacher to manage their classroom effectively, with maximum participation of learners, invocation of sustainability and inclusiveness, as well as self-motivated learning taking place. An effective teacher is a facilitator, who uses the maxims to maximize the learning outcome keeping the outcome in congruence with the BCG Model. National Education Policy 2020 has laid down various pedagogical strategies that suits the logic of the curriculum structure. The logic is based on psychological aspects of growth and development. Hence, this study aims at seeking a relation between BCG Model and logic of Curriculum Instruction to intensify the learning outcome through application of Maxims of Teaching within the classroom by adopting thematic analysis.

Жасыл экономиканы ынталандыру үшін мемлекеттік қаржылық реттеудің инновациялық құралдарын пайдаланудың әлемдік тәжірибесі

In the current reality, the issues of economic growth and the environment are cross-cutting and are becoming more and more relevant. As we know, the «resource-intensive economic model» is very limited in all directions, there are questions about the efficiency of using natural resources, these are definitely environmental risks, and this is a direct threat to the country's competitiveness. The strategic vector of sustainable development is aimed at the «green» economy model. In Kazakhstan, the transformation from one model to another requires significant investments. However, the difficulties of implementing such a transformation are related to the need for appropriate institutions and the implementation of both state and market support mechanisms. In this regard, consideration of foreign practices and its adaptation to our conditions will give a real impetus to the development of environmental investment tools. The purpose of the study is to assess the effectiveness of mechanisms to support financing of «green» projects in developed countries, in particular the USA, the EU, and China. As a result of the work carried out, the international practice of facilitating the financing of "green" projects was structured and an assessment of the effectiveness of the mechanisms used to maximize the concentration of private capital on such breakthrough projects of particular importance for the development of the country was carried out.

CiaBOT: the circular design of an experimental microarchitecture between material and immaterial values

The transition to a circular economy entails new challenges for architects and designers. Among these, one challenge is to look at waste not only as new resources, from an environmental perspective, but also as bearers of information capable of communicating their history and origin. Moreover, waste can be considered as a means of activating unexpected knowledge and social connections. The article illustrates a circular design experimentation, conducted with architecture and design students and a wine farm, which led to the creation of the CiaBOT project, a belvedere aimed at enhancing the landscape and providing a temporary stopping point in the Monferrato hills (UNESCO World Heritage Site, Italy). CiaBOT is not only a belvedere but is a microarchitecture capable of conveying both material and immaterial cultural values. Its form and materials are intimately connected with the territory with and for which it was designed. These make CiaBOT a “space” of hybridization and dialogue between agricultural tradition and innovation. But it is also a “space” of fieldwork education and knowledge co-generation in which academic and non-academic stakeholders have measured themselves. Through the description of the different stages of the design process, the article is part of the debate on new sustainable ways of designing and building, reflecting on new models of circular economy based as much on design strategies and processes as on the enhancement of human labor and the use of technologies appropriate to the context and actors.

The Business Model of a Circular Economy in the Innovation and Improvement of Metal Processing

The Business Model of a Circular Economy in the Innovation and Improvement of Metal Processing

Forecasting Sustainability Reports with Financial Performance Indicators using Random Forest for Feature Selection and Gradient Boosting for Learning

Problems such as excessive population growth, climate change, loss of biodiversity and resource scarcity in the world have led to an increase in global awareness in companies over the years. Lately companies have started to prefer sustainable models instead of existing economy models. As a result, they have started to prepare a sustainability report that includes social and environmental reports instead of just preparing an economic report. In recent years, the data of the circular economy model, which is a new approach for sustainable development to reach its goals, can also be followed through sustainability reports. Research shows that companies that attach importance to sustainability are seen as valuable by investors and sustainability indices are created in the stock markets of countries. This situation has increased the number of studies examining the impact of sustainability reporting or circular economy on financial performance. Firms want to be included in the sustainability indices in order to attract the attention of the potential investor. In this study, time series data of financial performance of companies in XUSRD are used. On the other hand, contrary to the statistical analyses in the literature, to predict whether companies will take part in XUSRD, a combination of two machine learning methods, namely random forest for feature selection and gradient boosting for learning, is used. In addition, to overcome the problem of data scarcity, the column-wise random shuffling method, which is a proven data augmentation technique in predicting stock market indices, has been used. The results show that the combination of random forest and gradient boosting reaches a test accuracy of 94.74% and outperforms state-of-the art models, namely, k-nearest neighbor, random forest, decision tree, support vector, naive Bayes classifiers that have been used in this study for comparison.

Exploiting the Thermotolerance of Clostridium Strain M1NH for Efficient Caproic Acid Fermentation from Ethanol and Acetic Acid.

A novel thermotolerant caproic acid-producing bacterial strain, Clostridium M1NH, was successfully isolated from sewage sludge. Ethanol and acetic acid at a molar ratio of 4:1 proved to be the optimal substrates, yielding a maximum caproic acid production of 3.5g/L. Clostridium M1NH exhibited remarkable tolerance to high concentrations of ethanol (up to 5% v/v), acetic acid (up to 5% w/v), and caproic acid (up to 2% w/v). The strain also demonstrated a wide pH tolerance range (pH 5.5-7.5) and an elevated temperature optimum between 35 and 40°C. Phylogenetic analysis based on 16S rRNA gene sequences revealed that Clostridium M1NH shares a 98% similarity with Clostridium luticellarii DSM 29923T. The robustness of strain M1NH and its efficient caproic acid production from low-cost substrates highlight its potential for sustainable bio-based chemical production. The maximum caproic acid yield achieved by Clostridium M1NH was 1.6-fold higher than that reported for C. kluyveri under similar fermentation conditions. This study opens new avenues for valorizing waste streams and advancing a circular economy model in the chemical industry.

ФОРМИРОВАНИЕ НАЦИОНАЛЬНОЙ ПАРАДИГМЫ ЗЕЛЕНОЙ ЭКОНОМИКИ РФ В УСЛОВИЯХ ГЛОБАЛЬНОЙ ЭКОНОМИЧЕСКОЙ И ПОЛИТИЧЕСКОЙ ТУРБУЛЕНТНОСТИ

The scientific article is devoted to the study of the formation of a green economy model in Russia in the context of global economic and political turbulence. The formation of the green economy paradigm in Russia is currently facing multiple contradictions of geopolitical and economic nature, so it is not possible to determine an unambiguous course of action. Taking into account the national peculiarities of the green economy paradigm (the exclusive role of government participation in the formation of a green economy; the lack of proposals for the development of some universal principles of responsible market behavior, compiled by the business community itself; the fears of the political leadership in terms of the embargo on the supply of energy assets to the European market), the author has identified the following scenarios for the development of the green economy: freezing of work on the formation of a green economy; environmental compromise.

Clustering the Research at the Intersection of Industry 4.0 Technologies, Environmental Sustainability and Circular Economy: Evidence from Literature and Future Research Directions

AbstractDigital technologies may enable the adoption of Circular Economy models in production and consumption processes, thereby promoting environmental sustainability. Literature on these topics has grown exponentially over the last decades, focusing on the adoption of Industry 4.0 technologies and its implications for environmental sustainability or circularity. However, extant literature reviews failed to cover the vast amount of literature produced, since they either have a narrow scope or focus on a limited sample of articles. To fill this gap, a bibliometric literature review was carried out on a sample of 1002 scientific articles on Circular Economy, Industry 4.0 technologies, and environmental sustainability. Descriptive statistics are coupled with a cluster-based analysis to provide a comprehensive coverage of the broader subject matter. Eight research clusters have been identified, with two general clusters (linkages between Industry 4.0, Circular Economy, environmental sustainability) and six topic-specific clusters (Big Data analytics for supply chain circularity, circular and sustainable additive manufacturing, urban sustainability, sustainable circular and digital (re)manufacturing, blockchain and data integration for a sustainable Circular Economy, miscellaneous and sectorial applications). Clusters are discussed in terms of research themes, methodologies, technologies, and circular strategies. Finally, a research agenda is drafted, pointing out six cluster-specific and four more transversal research directions. Hence, this research offers a detailed and quantitative overview of the research landscape, helping researchers and managers in understanding past contributions, assessing current standings, and identifying future directions of the research at the intersection of Industry 4.0 technologies, environmental sustainability, and Circular Economy.

Critical evaluation of disruptive transportation in Indonesia

This study analyzes the highly disruptive transportation business in Indonesia. The purpose of observation is to completely synthesize disruptive transportation that causes bad externalities in society. Data sources come from primary data of interviews and secondary data of related literature. The research method uses critical qualitative with a combination of in-depth interviews with several stakeholders. Key findings suggest that trust, consistency, capital ownership and proximity of new entrants to incumbents are important in disruptive innovation processes, empirical implications that transportation in Indonesia has undergone a definite economic shift. The results showed that although the government has publicly expressed its full support for any individual who will develop a business in the digital economy model, it is not effective enough to be consistent in the transportation business. Policy recommendations include adaptive training incentive programs for incumbent groups and accelerated funding assistance for new entrant groups, in addition to strengthening active collaboration between the government and the private sector is urgently needed.

Transformation of the modern model of low-carbon economy

Transformation of the modern model of low-carbon economy

Imperfect financial markets and the cyclicality of social spending

This paper explores the link between default risk and fiscal procyclicality. We show that countries with higher sovereign risk have a more procyclical fiscal expenditure policy, which is driven mostly by transfers. We build a small open economy model with income inequality, social transfers, and default risk to rationalize this fact. Without default risk transfers are countercyclical, inequality is procyclical, and external debt is used to smooth distortionary taxation. With default risk, transfers account for most of fiscal adjustment because taxation becomes costly for the government. Transfers become procyclical and inequality worsens during times when risk premia are high. We confirm the predictions of the model in the data: in recessions in economies with default risk, transfers take the bigger burden relative to government consumption, whereas the opposite is true in economies with low default risk.

Harnessing Brewery Spent Grain for Polyhydroxyalkanoate Production

The utility of brewery spent grain (BSG), a byproduct of the beer production process, for the synthesis of polyhydroxyalkanoates (PHAs), is a significant advancement towards sustainable and cost−effective biopolymer production. This paper reviews the upcycling potential of BSG as a substrate for PHA production, utilizing various biotechnological approaches to convert this abundant waste material into high−value biodegradable polymers. Through a comprehensive review of recent studies, we highlight the biochemical composition of BSG and its suitability for microbial fermentation processes. This research delves into different methodologies for PHA production from BSG, including the use of mixed microbial cultures (MMCs) for the synthesis of volatile fatty acids (VFAs), a critical precursor in PHA production, and solid−state fermentation (SSF) techniques. We also examine the optimization of process parameters such as pH, temperature, and microbial concentration through the application of the Doehlert design, revealing the intricate relationships between these factors and their impact on VFA profiles and PHA yields. Additionally, this paper discusses challenges and future perspectives for enhancing the efficiency and economic viability of PHA production from BSG. By harnessing the untapped potential of BSG, this research contributes to the development of a circular economy model, emphasizing waste valorization and the creation of sustainable alternatives to conventional plastics.

Chemical Processing Development for Radioactive Minerals Processing Facility: A Circular Economy Model

The minerals and metals industries are vital in the world’s economy, yet their use of resources and waste generation pose considerable issues. The circular economy is a concept that establishes the foundation for economic operations that are carried out to run sustainably and to promote economic welfare, which in turn leads to an improvement in environmental quality. This paper offers a comprehensive literature analysis on the principles and efficacy of circular economy in mineral processing, specifically focusing on radioactive minerals. This research aims to develop a circular economy model that preserves resources, reduces waste production, and complies with regulatory rules on radioactive waste management. The study outlines a clear and structured circular economy model consisting of four modules: sample preparation, decomposition, partial extraction, and total precipitation. Each module integrates energy efficiency, heat recovery, renewable energy, water reuse, and chemical recycling. The validated model provides a roadmap for implementing circular economy principles in processing radioactive materials, contributing to achieving sustainable development goals. The government's agenda in pursuit of the Nationally Determined Contribution (NDC) can be aided by this model. This study suggests that reducing resource use and the volume of material, energy, and waste generated by technological processes can be achieved while still maintaining quality. That concept brings about a change in the mindset of designing a mineral processing installation. Based on the result of this study, further study may be focused on implementing strategies for each module of the studied object.

Global sensitivity and domain‐selective testing for functional‐valued responses: An application to climate economy models

AbstractUnderstanding the dynamics and evolution of climate change and associated uncertainties is key for designing robust policy actions. Computer models are key tools in this scientific effort, which have now reached a high level of sophistication and complexity. Model auditing is needed in order to better understand their results, and to deal with the fact that such models are increasingly opaque with respect to their inner workings. Current techniques such as Global Sensitivity Analysis (GSA) are limited to dealing either with multivariate outputs, stochastic ones, or finite‐change inputs. This limits their applicability to time‐varying variables such as future pathways of greenhouse gases. To provide additional semantics in the analysis of a model ensemble, we provide an extension of GSA methodologies tackling the case of stochastic functional outputs with finite change inputs. To deal with finite change inputs and functional outputs, we propose an extension of currently available GSA methodologies while we deal with the stochastic part by introducing a novel, domain‐selective inferential technique for sensitivity indices. Our method is explored via a simulation study that shows its robustness and efficacy in detecting sensitivity patterns. We apply it to real‐world data, where its capabilities can provide to practitioners and policymakers additional information about the time dynamics of sensitivity patterns, as well as information about robustness.

Exploring stakeholders’ opinions on circular economy in the construction sector: A natural language processing analysis of social media discourse

AbstractThe construction industry has been criticized for its negative environmental impacts, leading industry experts to advocate for a shift toward a circular economy (CE) model. However, there is a lack of research on stakeholder opinions regarding that. This research paper examines stakeholders’ perspectives on implementing CE principles in the construction industry by conducting artificial intelligence‐powered natural language processing (NLP) through online sources. It answers three questions: What themes and concepts are associated with the CE in construction? How do opinions on the CE vary across different online platforms? And what factors shape positive attitudes toward the CE? The data obtained from various platforms showed that 57% of sentiments were positive, 28% were neutral, and 15% were negative. This research provides critical knowledge on the analysis of CE representation on social media in construction. Moreover, a webpage tool has been created that can assess any input opinion on the scale (positive, neutral, or negative) for further use (https://ce‐sentiment.streamlit.app/). This NLP‐based research of social media discourse in the construction sector can directly influence policy decisions by offering real‐time insights into public sentiment and preferences, shaping regulations that align with societal needs. It also provides industry professionals with data‐driven guidance, enabling them to identify growth opportunities and innovation pathways within the CE, ultimately fostering a more sustainable and prosperous future.

FeliX 2.0: An integrated model of climate, economy, environment, and society interactions

The Full of Economic-Environment Linkages and Integration dX/dt (FeliX) model is a System Dynamics-based Integrated Assessment Model (IAM), explicitly incorporating human behaviors and their dynamic interactions among global systems. This paper presents FeliX 2.0, describing the detailed framework and key interactions among nine integrated modules. FeliX 2.0 refined its original version in population dynamics, food and land use systems, and socioeconomic settings for poverty analysis. Robust calibration is applied to key variables against their historical data since 1950. Future projections of multiple variables up to 2100 demonstrate coherences between FeliX 2.0 and the IAMs used in IPCC assessments. Both outputs (the robust calibration results and future projections) underscore the efficacy of FeliX 2.0 in capturing complex interdependencies within global systems. FeliX 2.0 stands as an informative tool and offers insights into interactions within the human-Earth system and the analysis of complex economic-environmental-social challenges in short- and long-term future.

Development of Circular Economy in Agriculture in Hanoi, Vietnam

The introduction of circular economy principles into closed production systems is essential to address current socio-economic and ecological challenges efficiently. This approach not only saves costs, creates job opportunities, and fosters economic growth but also promotes the sustainable use of natural resources in agriculture. Transitioning to a circular economy model in agriculture contributes to achieving sustainable development goals. In Hanoi, Vietnam, sustainable agriculture development focuses on integrating natural processes and biological resources to enhance productivity while preserving the environment. Challenges persist in shifting from conventional to organic farming methods due to certification complexities and infrastructure limitations. Despite these hurdles, organic farming adoption is increasing, positively impacting agricultural productivity and biodiversity. The gradual expansion of certified organic agriculture in Hanoi indicates promising strides toward environmental conservation and economic development through a closed-loop agricultural system.