Cooperative Model Research Articles

The Early Socio-ecological Dimensions of Tricontinental (1967–1971): A Sovereign Social Metabolism for the Third World

This article delves into the socio-ecological dimensions of OSPAAAL, the Cuban Third World solidarity institution, focusing particularly on the early years of its official organ: the magazine Tricontinental (1967–1971). Tricontinental’s articles and graphic works, even if not always in an explicit manner, addressed environmental concerns in a revolutionary way, anticipating debates that would later unfold on international institutional platforms. These concerns were primarily discussed in the context of the Third World’s quest for autonomous production, closely intertwined with the agrarian question and sovereign industrialization. Key aspects such as land access, distribution, and resource management were pivotal. The publication’s central emphasis on struggles for national liberation, especially within the guerrilla arena, played a crucial role in disseminating the anti-imperialist pursuit of a sovereign social metabolism across the Third World. Combining Cuban, Latin Americanist, and internationalist accents, Tricontinental also condemned the ecological impact of transnational corporations’ predatory resource extraction in the Third World, while exploring alternative and cooperative models. This article unveils the latent socio-environmental dimensions of its critique, illustrating how ecological concerns subtly underpinned its anti-imperialist and internationalist discourse.

Service recommendation in JointCloud environments: An efficient regret theory-based Qos-aware approach

With the proliferation of data-intensive applications, there arises an urgent demand for a substantial amount of cloud services to meet their requirements for data analysis. This globalized yet cooperative business landscape necessitates new cooperative models across the world. JointCloud, as a novel cross-cloud cooperation computing model, takes the first step towards establishing an evolving cloud ecosystem where all cloud service providers could collaboratively serve globalized computation needs. The collaboration among various cloud service providers enhances both the availability and Quality of Services(QoS) of cloud services, enabling a cloud service provider to concurrently serve users with differentiated QoS requirements. This unique characteristic further complicates the problems of QoS-aware service recommendations, rendering conventional approaches obsolete and inefficient. Thus, there is an urgent need to improve the efficiency and effectiveness of the service recommendation method, which is of vital importance for the JointCloud environment. In this paper, we present a two-stage efficient regret theory-based service recommendation method for the JointCloud environment. In the first stage of our proposed method, we cluster the cloud service providers to reduce the choice space to improve the efficiency of cloud service recommendations. In the second stage, we meticulously identify the most appropriate services within one cluster. To enhance the overall rationality of service recommendation, we introduce a subjective and objective combined weighting method and a regret theory based ranking method. Extensive experimental results demonstrate that our approach can facilitate fast and accurate service recommendations.

Strategies of electricity enterprises and urban parks cooperatively investing in electric vehicle charging stations

Cities are increasingly pursuing sustainable development. To this end, we constructed two game models of cooperation between the electricity enterprise and the urban park manager to invest in charging stations (CSs) of energy vehicles (EVs). Model A involves revenue sharing between these entities, while Model B assumes that the electricity enterprise pays site leasing fees to the urban park manager. The CS investment capacity constraint is also considered. Based on the equilibrium solution of the models, we draw the following conclusions. Firstly, when the CS investment capacity constraint is small, the CS investment amount is equal under both models, while the leasing model provides a higher charging price and lower electricity demand for CS. Secondly, when the CS investment capacity constraint is moderate, the CS investment amount under the leasing model and the charging price are higher. The electricity demand for CS is mainly affected by the revenue sharing ratio. Thirdly, when the CS investment capacity constraint is high, the CS investment amount is affected by the finding cost of CS and the charging price changes accordingly with the electricity demand for CS. Finally, a decrease in the finding cost of CS does not necessarily lead to greater investment in CSs.

Multi-objective coordinated optimization of low-carbon building energy systems based on high renewable energy penetration

In the context of China's targets to achieve a "carbon peak" by 2030 and "carbon neutrality" by 2060, the operation and maintenance of buildings with low-carbon and zero-energy consumption emerge as a critical technology for accomplishing the "dual carbon" goals in the building sector. As a novel energy supply system, low-carbon building energy systems can provide low-carbon, efficient, and economical energy supplies. Accordingly, this paper initially constructs a low-carbon building energy system based on a high penetration of renewable energy sources. Subsequently, considering the benefits of economic efficiency, carbon emissions, and renewable energy utilization, a multi-objective cooperative optimization model for low-carbon building energy systems with high renewable energy penetration is established. Finally, a multi-objective particle swarm optimization algorithm is applied to solve the model, and the system is studied and analyzed using a large domestic park as a case study. The results indicate that the low-carbon building energy system with high renewable energy integration, aiming for economic efficiency, carbon reduction, and increased renewable energy consumption, achieves supply energy costs of $ 19.2/m2 and carbon emissions of 49.1 kg/m2. These values represent reductions of $ 7.4/m2 and 60.9 kg/m2 compared to separate supply systems. Lastly, the study of the low-carbon building energy system provides theoretical references for renewable energy integration and energy transition in the building sector.

Optimal scheduling of multiple entities in virtual power plant based on the master-slave game

As the energy market evolves into a dynamic and interactive landscape, the distributed nature of virtual power plant (VPP) becomes increasingly significant. This shift highlights the limitations of traditional centralized optimization approaches in capturing the complex interplay among various stakeholders. In response, this article introduces a novel multi-entity distributed collaborative optimization strategy for an integrated energy system (IES) that incorporates a VPP, electric vehicles, and carbon capture technologies, under the Stackelberg master-slave game framework. Within this framework, the VPP operator (VPPO) assumes the role of the leader, while the energy supply aggregator (ESA), customer side residential load aggregator (CSRLA), electric vehicles aggregator (EVA), and carbon treatment system aggregator (CTSA) are positioned as the followers. The paper delves into the development of interaction strategies for each entity, aiming at achieving optimal objectives. The study undergoes by presenting the mathematical model of the VPP-integrated energy system, which is seamlessly integrated into the master-slave game structure. This integration facilitates the creation of a distributed multi-entity cooperative optimization model featuring a single leader and multiple followers, with the uniqueness of the Stackelberg equilibrium being rigorously established. Therefore, the research employs a hybrid nutcracker optimization algorithm and quadratic programming (NOA-QP) method to address the engineering challenge of optimizing operator energy pricing. The case study conducted demonstrates that the proposed scheduling methodology improves the VPP system profit by 10.80%, increases the aggregation profit by up to 1317.22%, optimizes the carbon emissions by 15.59%, and significantly improves the solution efficiency of the VPP by 99.29%.

Manufacturing resource outsourcing and matching: service mode selection and equilibrium evolution

Manufacturing resource outsourcing platforms facilitate the meeting and matching of manufacturing service seekers and providers. The platform’s service mode, the willingness of seekers to match, and providers’ carbon emission reduction (CER) directly affect entities’ decisions. Therefore, this paper employs an evolutionary game approach to analyse the manufacturing resource matching (MRM) between the providers and seekers and a sequential game model to analyse the pricing and CER strategies between the platform and providers. First, this study reveals that the service mode does not influence the evolutionary path and stability of MRM. However, matching in the cooperative mode becomes easier due to higher resource quantities. Second, we find that the cooperative mode can enhance the system’s profits, and an appropriate revenue-sharing ratio is crucial for the platform and providers. Third, the analysis indicates that while the cooperative model can generate higher profits, it may also result in increased total carbon emissions.

Experience of Taiwan-Russian healthcare cooperation model building using Internet technologies

Experience of Taiwan-Russian healthcare cooperation model building using Internet technologies

The Key Role of Cooperatives in Sustainable Agriculture and Agrifood Security: Evidence from Greece

This research investigated the role of agricultural cooperatives (ACs) in promoting sustainable agriculture and agrifood security, with a particular emphasis on Greece. A cross-sectional survey technique was employed, and data were collected from 400 farmers and professionals either employed by or associated with Greek agricultural cooperatives by administering an online questionnaire. A response rate of 96.5% was achieved. The study findings show that cooperative techniques bring about a positive shift in agrifood security and sustainable agriculture. Particularly, participants concurred that resource sharing among cooperative members increases farm productiveness and sustainability by 94.2% while improving access to credit and financial support by 91.5%. Moreover, 84.3% agreed that access to up-to-date information enhances the practice of sustainable agriculture, and 95.1% agreed that collective bargaining through cooperatives increases the prices of agricultural commodities. Regarding the application of advanced technologies in cooperative practices, 96.7% of the participants acknowledged that it improved farm efficiency. The cooperative model demonstrates how agricultural expansion may be achieved by collective bargaining, information sharing, resource sharing, and technological integration, while also considerably improving agrifood security and sustainability. These findings highlight the crucial importance of cooperatives in increasing the level of agricultural production, ensuring sustainability, and improving agrifood security in Greece.

Research on Innovation and Entrepreneurship Teaching in the School-Enterprise Cooperation Model for Art Majors in Vocational Undergraduate Institutions

With the development of vocational education and the changing market demands, innovation and entrepreneurship education has gradually become an essential component in the training of art professionals. The school-enterprise cooperation model provides an effective educational approach to meet the practical needs and career skills development of art students in vocational undergraduate institutions. This study explores the challenges and countermeasures within this teaching model, and conducts an in-depth analysis of aspects such as resource allocation, alignment between education and industry demands, faculty development, student motivation, and policy support. The findings indicate that although the school-enterprise cooperation model faces various challenges in innovation and entrepreneurship education for art majors, strategic adjustments and optimizations can significantly enhance educational quality and students' entrepreneurial abilities.

Penerapan Model Pembelajaran Kooperatif dalam Meningkatkan Karakter Percaya Diri

Cooperative learning model is one of the models that can be used as an alternative. The use of small groups in cooperative learning makes students work together to achieve the learning objectives. The problems in this study are (1) How is the application of cooperative learning models in improving the character of self-confidence in civics subjects in class III SD Negeri 15 Pekanbaru (2) Whether the cooperative learning model can improve the character of self confidence in the subject of civics in class III. This research includes Classroom Action Research (PTK) which was conducted in two cycles using quantitative analysis and qualitative analysis methods. Each cycle consists of four stages, namely design, implementation, observation, and reflection. The subjects of this research were third grade students of SD Negeri 15 Pekanbaru, totalling 31 students. The research data were obtained using teacher and student observation sheets and student confidence test results, then the data were analysed using the percentage formula.The results obtained were (1) teacher activity in cycle I by using cooperative model from 72.11% to 92.15% in cycle II, (2) student activity in cycle I by using cooperative model from 45.71% to 83.69% and, (3) student learning outcomes in Civics subject in cycle I by using cooperative 32.25% to 83.87% in cycle II.This shows that the results of students' self-confidence in Civics subjects by using cooperative models show very positive results. Based on the results of this study, it can increase students' confidence to be more active and the teacher's ability to improve to be better.

Blockchain-Enabled Provenance and Supply Chain Governance for Indigenous Foods and Botanicals: A Design Approach Study

Ensuring Indigenous producers realize and capture provenance value from the native foods and botanicals supply chain is a key part of achieving economic, community, and ecological sustainability for Indigenous communities. Utilizing blockchain technology to support validated provenance claims throughout supply chain processes is an important intervention toward achieving this objective. This paper presents the preliminary results of an ongoing project in which blockchain technology underpins a “whole of supply chain” approach to addressing issues of provenance value claims and how these are validated within a digitalized environment. The paper focuses on the overarching objectives of achieving provenance value-based growth, and sustainability within a collaborative governance framework that reflects Indigenous community practice. We discuss how technology design and application developments have been undertaken in the context of a cooperative governance model, with the long-term view of enabling ecosystem participants to share responsibility for system development, operations, and benefits. The paper presents a provenance claims approach anchored in a Resources, Events, and Agents (REA) framework. It showcases the first version of a digital application that was developed by engaging a user community. How the application may be applied to other sectors is also briefly explored.

Bit Error Rate Performance Improvement for Orthogonal Time Frequency Space Modulation with a Selective Decode-and-Forward Cooperative Communication Scenario in an Internet of Vehicles System.

Orthogonal time frequency space (OTFS) modulation has recently found its place in the literature as a much more effective waveform in time-varying channels. It is anticipated that OTFS will be widely used in the communications of smart vehicles, especially those considered within the scope of Internet of Things (IoT). There are efforts to obtain customized traditional point-to-point single-input single-output (SISO)-OTFS studies in the literature, but their BER performance seems a bit low. It is possible to use cooperative communications in order improve BER performance, but it is noticeable that there are very few OTFS studies in the area of cooperative communications. In this study, to the best of the authors' knowledge, it is addressed for the first time in the literature that better performance is achieved for the OTFS waveform transmission in a selective decode-and-forward (SDF) cooperative communication scenario. In this context, by establishing a cooperative communication model consisting of a base station/source, a traffic sign/relay and a smart vehicle/destination moving at a constant speed, an end-to-end BER expression is derived. SNR-BER analysis is performed with this SDF-OTFS scheme and it is shown that a superior BER performance is achieved compared to the traditional point-to-point single-input single-output (SISO)-OTFS structure.

Rental housing types and economic wellbeing in Canada

The aim of this article is to examine the association between different types of rental housing and household economic wellbeing. Its main objective is to better understand how the different types of assistance promoted by housing policies contribute to the reduction of material hardship among renter households. To achieve this objective, the study is based on the creation of an original typology designed to catch the different models of social and non-market housing that characterize the rental housing system in Canada. The research design it adopts controls for compositional effects linked to housing policy through a matching procedure that reduces the imbalance existing between households residing in social housing and the rest of the population. The analyses produced demonstrate the importance of promoting and maintaining social and non-market housing models that favour rent-geared-to-income housing, guarantee long-term affordability, and value public and co-operative tenure models.

Penerapan Model Pembelajaran Kooperatif Tipe STAD dalam Peningkatan Keterampilan Literasi Pantun pada Siswa Kelas V SD Negeri Cileguk

Qualitative methods used by researchers in research "The Application of the STAD Type Cooperative Learning Model in Improving Poetry Literacy Skills in Grade V Students of SD Negeri Cileguk" pantun is an old Malay poem native to Indonesia consisting of sampiran and a-b-a-b content. The purpose of this research is to improve the literacy skills of poetry. The model used in this study is a STAD-type cooperative model. The data collection technique used is the literature technique, while the data analysis technique uses the content analysis technique. Based on the results of research and discussion, it can be concluded that the types of poems based on their content in the book "Mantra Poetry and Pantun di Tengah Modern World Life by Korrie Layun Rampan in 2014" there are several types of poems, namely young poems, old people's poems, puzzle poems, longing poems, advice poems..

Innovative and Practical Research on the Teaching Mode of New Media Operation Course in Drama, Film and Television Art Design Major

The rapid development of new media has prompted the major of drama, film and television art design to innovate the teaching mode of new media operation courses, aiming to cultivate compound talents who are proficient in both the profession and new media operation. At present, the curriculum system generally introduces new media elements, adopts diversified teaching methods such as project-based, case teaching, and flipped classroom, emphasizes practical operation and innovative thinking, deepens school-enterprise cooperation, and provides internship and training opportunities. However, the contradiction between teaching objectives and industry needs, the construction of teaching staff, the gap between students skills and industry expectations, and psychological challenges still exist. In order to solve these problems, the dual-teacher teaching system was implemented, and industry experts were introduced to teach together with teachers in the school. Project-based teaching allows students to grow in actual combat, the competition mechanism enhances learning motivation, the new model of school-enterprise cooperation provides a practical platform, and the course content is dynamically adjusted to adapt to industry changes. It is necessary to optimize students continuous learning motivation, the coherence of teaching content, the fairness and professionalism of competition design, and the coordination of cross-disciplinary cooperation, in order to cultivate high-quality talents that are more in line with the needs of the new media era.

Cooperative operation for multiple virtual power plants considering energy-carbon trading: A Nash bargaining model

With the development of the energy and carbon markets, it has become a trend for multiple virtual power plants (MVPP) that aggregate distributed resources from different regions to participate in market trading through cooperative operation. In order to study the energy-carbon interactions between VPPs and the supply-demand interactions for MVPP and users, this paper introduces a load aggregator (LA) and establishes a cooperative alliance consisting of MVPP and LA. Firstly, a carbon emission allowance allocation and transaction mechanism for MVPP is proposed based on the modified Shapley value method, which considers the impact of energy interactions within the alliance on the carbon emissions. Then, a cooperation model for the MVPP-LA alliance is established based on Nash bargaining theory, and it is decomposed into two subproblems of the maximal alliance benefits and the optimal benefit distribution. In terms of benefit distribution, this paper modifies the bargaining mechanism based on the contribution of each VPP to the alliance benefit. A dynamic penalty factor-based alternating direction method of multipliers (DP-ADMM) is used to solve the two subproblems in a distributed manner. Finally, the validity of the proposed trading mechanism, allocation method and solution algorithm are verified through several cases.

Independence or cooperation? Evaluating emission reduction strategies in non-competitive and competitive environments

This study combines a dynamic game and the Nash bargaining model to discuss the choice of manufacturers’ emission reduction strategies independently or in cooperation with cleantech firms under the cap-and-trade mechanism. The models comprise one manufacturer and one cleantech firm in a non-competitive environment, and two manufacturers with different emission reduction capacities in a competitive environment. The results show that competition will produce significant substitution effects, and some sensitivity analyses of the disadvantaged manufacturer tend to be opposite to those under a non-competitive environment. On the contrary, cooperation will bring significant positive impacts, carbon reduction rates will be improved after cooperating with cleantech firms. However, when profits are concerned, the Nash equilibrium model (C, C) may fall into a prisoner’s dilemma choice, while cleantech firms with low technical improvement capacities can drive it to become a Pareto optimality strategy, which will cause false prosperity in the cleantech industry. Given this, the objective of carbon neutrality and the cooperation model with the same cleantech firm is further extended, showing effective cooperation and improvement to provide new perspectives into emission reduction strategies.

Multi-objective stochastic-robust based selection-allocation-operation cooperative optimization of rural integrated energy systems considering supply-demand multiple uncertainties

The carbon neutrality goal places greater demands on integrated energy system (IES) in rural areas. In line with this trend, a multi-objective stochastic-robust based selection-allocation-operation cooperative optimization model is established for planning of rural IES in this paper. Firstly, this paper construct three typical IESs at three levels (user, township and user-township interaction) and make economic selection. Secondly, in order to coordinate the objectives of technology-economy-environment and solve the multiple uncertainties existing in the system, a multi-objective stochastic-robust planning model is proposed. In the model, the objective function introduces indicators such as total cost, primary energy resource efficiency and renewable energy consumption rate. Then constructing stochastic hierarchical scenarios to characterize the stochastic uncertainty of parameters in the time dimension. And introducing typical scenarios into the box sets which characterize the supply-demand sides uncertainty. Finally, a sensitivity analysis is performed to discuss the influence of robustness parameters and biogas prices. The annual total cost of the user-township interaction system is 53.8 % and 8.4 % lower than that of the other two systems, respectively. And from the allocation results of selected system, primary energy resource efficiency is 0.57, total cost is 1.81 × 106 USD and renewable energy consumption rate is 99.46 %. In addition, from the operation results, it is analyzed that the output of the equipment is perfectly balanced with the user's load. Finally, it is obtained by sensitivity analysis that uncertainty budget and biogas price have an impact on the selection of discrete equipment, the capacity of continuous equipment and the total cost. And the optimal capacity of the system under different situations is given.

Estrategia colectiva de pequeñas unidades económicas lecheras que operan en un mercado oligopsónico

This article addresses a problem in the Mexican dairy industry and involves stake-holders upon whom the operation of this sector depends. I am referring to the small dairy units, which have long been in a vulnerable situation due to their operating in an oligopsonistic market where the processors hold dominance. A lack of technology, resources, training, business knowledge, project entrepreneurship, along with isolat-ed operation, exacerbates the situation. Since the late 20th century, cooperation has emerged as a strategy for small and medium-sized economic units to survive in a chal-lenging market and to improve their well-being. The work aims to highlight a model of business cooperation between dairy units. By pooling resources and efforts, produc-tive development is strengthened with the goal of achieving survival and in order to contribute to regional development. The case study of Cooperative Prolea in Acatic, Jalisco is used

Strategi Peremajaan Sawit Rakyat dan Pengembangan Usaha KUD Sumber Makmur Menggunakan Pendekatan Business Model Canvas

KUD Sumber Makmur is one of the Village Unit Cooperatives located in Pelalawan Regency, Riau. As a form of sustainable palm oil management, cooperative members' oil palm lands that have reached economic maturity need to be replanted. Apart from that, managing KUD cooperatives requires a cooperative business development strategy model. This research aims to identify strategies for rejuvenating smallholder palm oil and business development for KUD Sumber Makmur using the Business Model Canvas approach. The research was conducted in September 2023 at KUD Sumber Makmur, Pelalawan Regency, Riau. The data collection methods in this research are primary data and secondary data. The data analysis used in this research uses a qualitative descriptive type. The strategy for rejuvenating smallholder oil palms at KUD Sumber Makmur consists of the data collection stage and the implementation stage of the smallholder oil palm rejuvenation program. The business development strategy at KUD Sumber Makmur is: The Key Partner of the cooperative is PT Asian Agri, Key Activities of the cooperative consist of a savings and loan unit, agricultural production facilities unit, FFB Transportation unit, and FFB Sales unit, Value Proposition consists of cooperative FFB Quality and Palm Oil Certification, Customer relationships consist of efforts to maintain the quality of FFB and establish good communication with offtakers. Customer segments consist of off-taker companies (PT Asian Agri) and BPDPKS. Key resources consist of partner farmers' land, cooperative buildings, and transportation equipment. Channels consist of Direct and Contract methods, Cost Structure consists of production costs and operational costs, Revenue streams consist of FFB Sales