Cooperative Mechanism Research Articles

Contamination Characteristics of Antibiotic Resistance Genes in Multi-Vector Environment in Typical Regional Fattening House

Antibiotic resistance genes (ARGs) are emerging as significant environmental contaminants, posing potential health risks worldwide. Intensive livestock farming, particularly swine production, is a primary contributor to the escalation of ARG pollution. In this study, we employed metagenomic sequencing and quantitative polymerase chain reaction to analyze the composition of microorganisms and ARGs across four vectors in a typical swine fattening facility: dung, soil, airborne particulate matter (PM), and fodder. Surprisingly, soil and PM harbored a higher abundance of microorganisms and ARGs than dung. At the same time, fodder was more likely to carry eukaryotes. Proteobacteria exhibited the highest propensity for carrying ARGs, with proportions 9–20 times greater than other microorganisms. Furthermore, a strong interrelation among various ARGs was observed, suggesting the potential for cooperative transmission mechanisms. These findings underscore the importance of recognizing soil and PM as significant reservoirs of ARGs in swine facilities alongside dung. Consequently, targeted measures should be implemented to mitigate their proliferation, mainly focusing on airborne PM, which can rapidly disseminate via air currents. Proteobacteria, given their remarkable carrying capacity for ARGs with the primary resistance mechanism of efflux, represent a promising avenue for developing novel control strategies against antibiotic resistance.

The Horizon of the Third Pole: Mapping future scenarios and strategic responses

The Third Pole region, comprising the vast glaciers and water systems of the Hindu Kush Himalayas (HKH), is emerging as a key indicator of global climate change. Often referred to as the “Water Tower of Asia,” it sustains nearly 2 billion people through its water resources, yet the region is experiencing unprecedented changes. This review examines the region's evolving climate dynamics, focusing on key climate scenarios and potential strategic responses. The paper synthesizes data from the latest climate models, regional governance frameworks, and international climate policy developments to explore future pathways for the Third Pole. It also delves into the region's socio-economic vulnerabilities, water security challenges, and the geopolitical complexities of transboundary environmental governance. Our findings emphasize the need for proactive adaptation strategies, transboundary cooperation, and innovative policy mechanisms to mitigate climate risks. The review provides a roadmap for policymakers, scientists, and regional stakeholders to navigate the looming environmental crises, highlighting pathways that could forge a resilient future for the Third Pole.

The silent barrier: exploring data availability in Small Island Developing States.

To quantify three aspects of data-related developmental progress across 57 Small Island Developing States (SIDS) recognized by the United Nations: statistical capacity measured using the Statistical Performance Indicators (SPI), data availability using the Sustainable Development Goal (SDG) indicators, and gender-stratified indicators. SIDS as a single country group were compared with other World Bank regions, using SPI, availability of SDG metrics, and availability of gender-stratified metrics. Using population size as a proxy for "smallness," its association with data capacity and availability was modeled. SPI among SIDS was lower than in any world region - broadly equivalent to Sub-Saharan Africa. Two-thirds of SDG indicators were available for SIDS in 2022; other world regions having between 71% and 87% availability. One-third of gender-stratified indicators were available for SIDS in 2022; other world regions having between 58% and 68% availability. Population size was strongly associated with each outcome, with SIDS having a statistical capacity 18.0 percentage points lower than other countries [95% CI (8.5, 27.4)], SDG data availability 17.4 percentage points lower [95% CI (13.1, 21.7)], and gender-stratified indicator availability 28.8 percentage points lower [95% CI (24.5, 33.0)]. As global demand and associated rewards for electronic data increase, our analysis highlights the challenges introduced by island "smallness" in the global push for digital transformation. Regional cooperation mechanisms, sustained international support, and systematic monitoring of data availability are urgently required to monitor capacity development.

Coaxial Helices in Chiral Supramolecular Aggregates from Highly Hindered Chiral Allenes.

Chiral allenes self-assembly following a cooperative mechanism into a supramolecular chiral aggregate consisting of two coaxial helices: the internal helix described by the allene stack and the external helix which consist in a quadruple-helix described by the four allene substituents. More precisely, this supramolecular aggregate possesses six axially chiral elements within its structure -the allene, the allene stack (internal helix) and the stacks of the four allene substituents (external 4-helix)-. Interestingly, slight variations in the magnitude of the tilting degree while keeping its P- or M- orientation (internal helix) can vary the orientation of the 4-axial motifs at the external helix. Thus, while (P)-1 produces a supramolecular helix with a Q ca. 15° (Pint) and a M1/P2/M1'/P2' orientation of the four axial motifs at the periphery, (P)-2 produces a supramolecular helix with a Q ca. 23° (Pint) and a P1/P2/P1'/P2' orientation of the four axial motifs at the external helix. As a result, the ECD spectra and the AFM images of the (P)-1 and (P)-2 supramolecular aggregates dominated by the 1 and 1' substituents of the chiral allene indicate opposite handedness although the chirality of the building block and the orientation of the allene stack are the same.

Research on Interprovincial Embodied Carbon Transfer Network in China and Its Endogenous Dynamic Evolutionary Mechanism

This paper uses the multi-regional input–output model to measure China’s interprovincial embodied carbon transfer and constructs an interprovincial network; then, the temporal exponential random graph model is applied to analyze the spatial correlation characteristics and endogenous evolutionary mechanism of the network. The results show that interprovincial embodied carbon transfer relationships are increasingly close in China, but the weak symmetric accessibility between the eastern and central regions leads to less reciprocity in the embodied carbon network, and carbon emission inequality still exists. Based on the identification of networks, it is shown that the global network structures are stable, with obvious small-world characteristics and a core–periphery structure. And a structure-dependent effect and time-dependent effect also exist in the formation and evolution of the interprovincial embodied carbon transfer network in China. The popularity, multi-connectivity, and path-dependent effects among the provinces are significant, but the imperfection of interprovincial communication and the cooperation mechanism leads to the failure to form stable structures of ternary closed loops. Interprovincial embodied carbon transfer relationships tend to occur between provinces, with large differences in energy consumption structures, while geographical distance can hinder the formation of embodied carbon transfer relationships. Consequently, considering the spatial network correlation and its endogenous dynamic evolutionary mechanism, it is important to implement policies to guide coordinated carbon reduction among the provinces and to improve the fairness in embodied carbon transferring, in order to promote the fine governance of all links in the transferring process of embodied carbon.

Green Energy Co-operation Mechanisms Between China and Countries along the Belt and Road: The Role of Chinese Local Governments and International Organizations

As global climate issues have intensified, promoting green energy has become the key to solving the problem. This paper explores the role of Chinese local governments and international organizations in promoting green energy cooperation under the Belt and Road Initiative (BRI). It highlights the importance of such partnerships for accelerating energy transitions in underdeveloped countries. The study argues that local governments in China have translated central policies into local action, supporting the development of green energy projects along the Belt and Road through policy responses, promoting local projects, and mobilizing local businesses to invest. At the same time, this article classifies the international organizations participating in the BRI as platform-type organizations and participatory organizations. The former provides effective financial tools for Belt and Road green energy projects, and the latter uses existing influence to promote the construction of an international discourse on a consensus-driven green Belt and Road. Effective green energy cooperation requires a multi-level approach that includes policy adaptations, infrastructure construction, and knowledge-sharing mechanisms. Research on the role and influence of actors within cooperation networks and the relationships among multiple actors may provide a reference for broader green cooperation on a global scale.

Competition and cooperation mechanism of new energy vehicle policies in China’s key regions

New energy vehicles (NEVs) are crucial in addressing environmental pollution and energy shortages. Their widespread adoption has been hindered by challenges such as inadequate infrastructure and limited market competitiveness. To promote the development of NEV, local governments in China have implemented various policies. However, resource constraints within regions have created inherent conflicts among policy objectives, while regional disparities have emerged due to differences in development status and characteristics. This study aims to model the complex competitive and cooperative mechanisms among different NEV policy objectives and compare their variations across three key regions: the Beijing-Tianjin-Hebei (BTH), Guangdong-Guangxi-Fujian (GGF), and Yangtze-River-Delta (YRD). Firstly, topic model Latent Dirichlet Allocation is applied on 857 local NEV policies from 2010 to 2021, identifying six core policy objectives, namely production technology, infrastructure, financial support, demonstration, industrial management and environmental protection. Then, the Lotka-Volterra model is employed to examine competitive and cooperative mechanism among these policy objectives. Key findings are: (1) infrastructure policies prevail across all regions; (2) regulation policies exhibit a comparative advantage in the BTH region, while implementation policies dominate in the GGF region and promotion policies in the YRD region; (3) cooperation among objectives is primarily observed in the BTH region, whereas competition plays a more dominant role in the other regions. This study fills a previous research gap and provides insights for researchers and policymakers, highlighting the development of customized strategies that consider the unique characteristics and requirements of each region.

The service trade with AI and energy efficiency: Multiplier effect of the digital economy in a green city by using quantum computation based on QUBO modeling

This research examines the energy efficiency of city districts through the Malmquist–DEA model and investigates the spatial effects of the service trade and the digital economy on energy efficiency in urban green development. The study also delves into the specific context of the AI service trade to gain insights into and align with the emerging digital intelligence industry. The interplay of the service trade with the digital economy, alongside the AI service trade with innovation, significantly enhances urban energy efficiency and demonstrates positive externalities. Building on the empirical findings, this research employs cluster analysis to explore the green development of city districts and uses AI technology to program green communication and cooperation mechanisms across district clusters, employing quantum computation based on QUBO modeling. This study contributes to a deeper understanding of the cofunction of the service trade and the digital economy in terms of energy efficiency and aids in developing new quality productivities for green cities through quantum-based AI advancements. This research has clear implications for cutting-edge interdisciplinary applications of green AI technologies in social computing science.

Strategic corporate orientation, factor flow, green innovation

This research investigates the impact of corporate strategic orientation and factor flowon corporate green innovation. It is found that corporate green strategic orientation has a significant positive effect on the level of corporate green innovation, which is achieved through promoting factor mobility, including the flow of talent, capital, and knowledge. Moreover, there is a synergistic effect between corporate green strategic orientation and corporate intellectual property protection strategy, and their combination can more effectively promote corporate green innovation. The article suggests that the government should introduce incentive measures, invest in education and training, strengthen financial support and intellectual property protection, and establish cooperation mechanisms and monitoring and evaluation systems to `promote corporate green innovation and sustainable development.

Legal Uncertainty Regarding the Synergy of Tax Authorities and Corruption Court Authorities in Imposing Tax on Assets Proceedings of Corruption that Have Not Been Reported by Corrupt Perpetrators in Annual Tax Returns

This study discusses the legal uncertainty that affects the synergy between the Tax Authority and the Corruption Court Authority (Tipikor) in imposing taxes on assets resulting from corruption that have not been reported by the perpetrators in the Annual Tax Return (SPT). The lack of specific regulations governing the imposition of taxes on assets resulting from corruption causes differences in the interpretation and application of the law in the field, confusing law enforcement officers and business actors. In addition, this study identifies various obstacles faced in coordination between the two authorities, including communication problems, information sharing, and differences in objectives. Using a qualitative approach, this study collected data through interviews with legal practitioners and analysis of relevant legal documents. The results of the study indicate that the existing legal uncertainty and coordination constraints hinder efforts to effectively impose taxes on assets resulting from corruption, thereby harming state tax revenues. This study recommends the need to develop clearer regulations and better cooperation mechanisms between the Tax Authority and the Tipikor Court to improve tax compliance and reduce corrupt practices

The role of regulatory agencies in public health emergencies: A critical review of global approaches and challenges

Regulatory agencies play a pivotal role in public health emergencies by ensuring that medical products, including vaccines, diagnostics, and therapeutics, are rapidly available while maintaining safety and efficacy standards. The COVID-19 pandemic, along with past crises such as the Ebola and Zika outbreaks, exposed both strengths and vulnerabilities in global regulatory frameworks. This paper critically reviews the role of regulatory agencies in public health emergencies, synthesizing existing literature to present new insights into their operational challenges and the reliance strategies employed to bridge capacity gaps. By examining case studies, such as the reliance on the U.S. Food and Drug Administration (FDA) and the European Medicines Agency (EMA) by low- and middle-income countries (LMICs), this paper highlights the importance of global cooperation and reliance mechanisms in managing crises. Furthermore, it addresses challenges such as resource constraints, disparities in regulatory capacity, and ethical dilemmas faced when approving products based on limited data. The paper also explores the future direction of regulatory science, emphasizing the need for greater global regulatory convergence, capacity building, and the adoption of innovative digital tools. Ultimately, the paper argues that while reliance strategies are vital, long-term investment in national regulatory systems and global harmonization efforts are essential for a more equitable and effective response to future public health emergencies.

The application of blockchain technology to improve tax compliance and ensure transparency in global transactions

The digital transformation of global commerce has fundamentally altered the landscape of tax administration, presenting unprecedented challenges for tax authorities worldwide. This comprehensive review examines the transformative potential of blockchain technology in revolutionizing tax compliance and enhancing transparency in global transactions. Through systematic analysis of existing literature, case studies, and implementation frameworks, we investigate how blockchain's core attributes of immutability, traceability, and decentralization can address critical challenges in contemporary tax administration. The review synthesizes evidence from multiple jurisdictions, demonstrating blockchain's capacity to reduce tax fraud, streamline compliance processes, and facilitate real time tax collection. Our analysis reveals that blockchain implementation in tax systems can potentially reduce tax gaps by 75-80% in VAT schemes and decrease compliance costs by 40-50% for businesses operating across multiple jurisdictions. The paper also explores critical challenges, including scalability issues, regulatory frameworks, and implementation barriers, providing a balanced perspective on both opportunities and limitations. Furthermore, we examine emerging trends in blockchain based tax solutions, including smart contracts for automated compliance, cross border information sharing protocols, and real time reporting frameworks. This review contributes to the growing body of literature on digital transformation in tax administration by offering a comprehensive framework for understanding blockchain's role in creating more efficient, transparent, and equitable tax systems. Our findings suggest that while blockchain technology presents promising solutions for tax administration challenges, successful implementation requires careful consideration of technical infrastructure, legal frameworks, and international cooperation mechanisms.

Ecological compensation for cross-regional domestic waste treatment: A stochastic differential game perspective.

The implementation of ecological compensation for cross-regional domestic waste treatment is beneficial for balancing the interests of waste generation districts and waste treatment districts. This paper introduces dynamic differential games to capture the temporal evolution and adjustment of strategies, examining dynamic game strategies under different compensation scenarios (non-horizontal ecological compensation, horizontal ecological compensation and fully shared ecological compensation). A new interest distribution model is proposed, with empirical analysis conducted using Shanghai as a case study to validate the reliability and feasibility of the model. The findings indicate: (1) Government intervention combined with horizontal ecological compensation significantly improves waste management efficiency and urban welfare. The compensation mechanism fosters regional cooperation, optimizes resource allocation, reduces decision-making conflicts and enhances overall processing effectiveness. (2) Without a compensation mechanism, high costs in export regions and low benefits in import regions result in low cooperation willingness. The ecological compensation mechanism enhances willingness to cooperate by fairly distributing costs and benefits, optimizing long-term cooperation and overall gains. (3) Complete shared ecological compensation is optimal, though partial shared mechanisms are also effective in practice. Proper interest and ecological compensation ratios can significantly improve waste management efficiency and urban environment, strengthening long-term cooperation. The study theoretically expands the dynamic optimization and cooperation mechanism analysis in waste management, provides solutions for environmental policy formulation in cross-regional waste handling and offers new perspectives and tools for addressing complex issues in cross-regional environmental governance, including targeted policy recommendations with practical significance for enhancing cross-regional waste management.

A non-functional requirements classification model based on cooperative attention mechanism fused with label embedding

Intelligent classification of software requirements is a hot research issue in the field of requirements engineering. Complete and accurate identification of functional requirements (FRs) and non-functional requirements (NFRs) is the primary task of requirements engineering. However, in real software projects, NFRs are easily neglected and may become a potential risk of project failure. Text is the main source of information about software requirements. With the increasing scale of software projects, a large number of complex types of text materials are used for software requirements analysis. Manual identification of NFRs of software projects has the problems of easy omission, ambiguity, vagueness, and high time-consuming cost. Based on the above existing defects, a deep neural network model named CAFLE is designed in this paper to solve it. CAFLE is composed of two parts, Text-label cooperative attention encoder (TLCAE) and Label decoder (LD). TLCAE adopts a Bi-directional long short-term memory network (Bi-LSTM) and multi-head cooperative attention mechanism to generate an encoded representation of the mutual involvement of requirement classification labels and requirement text. LD is an LSTM decoder with an attention mechanism constructed for the multi-class classification task of requirement text. LD utilizes the representation generated by TLCAE for prediction. Experimental results on the PROMISE benchmark dataset show that CAFLE outperforms existing NFRs classification methods with an F1 score of 95%.

The pole of the EU in ensuring the energy security of Ukraine

The role of the European Union (EU) in ensuring Ukraine’s energy security in the conditions of modern geopolitical challenges is studied. Since the onset of Russia’s full-scale aggression against Ukraine, the country’s energy infrastructure has suffered significant damage, leading to an energy supply crisis. In such conditions, cooperation with the EU is critically important for the restoration and stabilization of Ukraine’s energy sector. The key directions and mechanisms of cooperation between Ukraine and the EU in the field of energy security, including the provision of financial assistance, technical support, as well as the implementation of joint projects in the field of renewable energy and energy efficiency, were considered. Special attention is given to the National Energy and Climate Plan (NECP) until 2030, developed with EU support and serving as a crucial component of Ukraine’s energy security strategy. The article also analyzes the impact of the implementation of the EU Clean Energy Package on Ukraine’s regulatory environment, promoting predictable conditions for investors and facilitating Ukraine’s integration into the European energy market. The role of market incentives in attracting investments in renewable energy sources and their impact on Ukraine’s energy security is examined. he impact of the implementation of the EU Clean Energy Package on the regulatory and legal environment of Ukraine is analyzed, which contributes to the creation of predictable conditions for investors and ensures the integration of Ukraine into the European energy market. The significant role of international cooperation and the role of international financial institutions in providing the necessary funding for the implementation of the NECP is also discussed. Particular attention is given to the potential of Ukraine’s renewable energy sector, including opportunities for expanding wind, solar, biomass, and hydropower capacities. The implementation of distributed generation, energy storage systems, and microgrids, which contribute to enhancing energy independence and resilience at the community level, is also considered. Conclusions were made about the need for further close cooperation between Ukraine and the EU to ensure Ukraine’s energy security, as well as Ukraine’s prospects for becoming a leader in the field of renewable energy in the region. The article provides recommendations on priority areas for the development of the energy sector and measures that will strengthen Ukraine’s energy security in the context of European integration.

Hak dan Kewajiban Negara dalam Mengatasi Kejahatan Lintas Batas di Era Digital: Pendekatan Analisis Normatif

The digital era has significantly increased the complexity of cross-border crimes, particularly cybercrime, which poses substantial challenges for countries, including Indonesia. With a reported rise in cross-border cybercrime incidents of over 50% in the last five years, Indonesia faces critical legal and technical hurdles in combating such threats. This study explores the rights and obligations of states in addressing cross-border cybercrime, focusing on comparing Indonesia's legal framework with international standards, specifically the Budapest Convention. Employing a normative analytical method, this research examines international and national legal documents to identify gaps and evaluate the alignment of Indonesia's cybercrime regulations with global standards. Key findings reveal that Indonesia's cybercrime policies lack mandatory international cooperation mechanisms and are limited to national jurisdiction, which restricts the country’s ability to effectively address cybercrimes involving foreign perpetrators. In contrast, the Budapest Convention emphasizes structured international collaboration, robust privacy protections, and flexible jurisdictional arrangements, providing a comprehensive framework for managing transnational cyber threats. The study concludes that harmonizing Indonesia’s regulations with international standards, such as the Budapest Convention, is essential for improving the nation's capacity to combat cross-border cybercrime. Recommendations include enhancing legal frameworks to mandate international cooperation, establishing specialized units within law enforcement agencies equipped with advanced digital forensic tools, and strengthening privacy protections to align with global norms. This research contributes to the discourse on international cybercrime management by offering practical strategies to bridge regulatory gaps and bolster Indonesia’s position in global cybersecurity collaborations. The findings underscore the urgency for policy reform to address the evolving challenges of digital threats in an interconnected world.

Construction and Practice of Off-Campus Practice Bases for Food Majors in the Context of Innovation and Entrepreneurship

In the context of the vigorous development of innovation and entrepreneurship, the construction of off-campus practice bases for food majors in colleges and universities is of great significance. This paper takes the Institute of Agricultural Products Processing of the Chinese Academy of Tropical Agricultural Sciences as a typical case to deeply analyze the existing problems in the construction of this practice base, including imperfect management mechanisms, insufficient integration of practice content and majors, and the need to strengthen the construction of teaching staff. Then put forward innovative ideas and strategies, covering aspects such as resource integration and optimization, teaching staff construction, curriculum and project innovation, cooperation mechanism innovation, and management and guarantee innovation. Elaborated on practical exploration and reform measures, such as building a collaborative education platform, building a high-level teaching staff team, establishing a characteristic practical curriculum system, comprehensively improving students' practical and innovative abilities, and strengthening the cooperation mechanism of industry, academia, research and learning between schools and institutes. Finally, it emphasizes that off-campus practice bases for food majors are of crucial significance for cultivating students' practical abilities, etc., and looks forward to the future development direction, including further strengthening the connection between practice bases and college professional courses, establishing a more scientific and reasonable evaluation system, and integrating new technology training and other contents. As a typical case, the Institute of Agricultural Products Processing of the Chinese Academy of Tropical Agricultural Sciences, provided experience and models for the development of off-campus practice bases for food majors.

Research trends of cooperation in social dilemmas from 2003 ‐ 2023: A bibliometric study using CiteSpace

Over the past two decades, researchers have thoroughly investigated cooperation within social dilemmas to address societal challenges. However, there has been limited interdisciplinary review of this field. This paper provides the first comprehensive analysis of 2,232 articles from 2003 to 2023 within this research domain, utilizing CiteSpace. Our analysis includes statistical, collaboration, co-citation, and keyword co-occurrence analyses to elucidate current trends, key contributors, themes, and emerging areas. The findings indicate that: (1) The publications have shown a rising trend, meaning cooperation topics in social dilemmas receive wide attention. (2) Cooperation in social dilemmas is a prominent and interdisciplinary topic characterized by strong collaboration among regions, authors, and journals. (3) Key topics include social value orientation, spatial public goods games, procedural fairness, and group cooperation. Additionally, emerging research trends may encompass evolutionary dynamics of cooperation, complex networks of social dilemmas, sex differences in cooperation, and climate change. (4) Future research should focus on interdisciplinary theoretical integration, the brain mechanisms of cooperation, emerging social dilemmas in the real world, and cross-cultural comparative studies. This study provides a reference for researchers to understand the theme and research hotspot of cooperation within social dilemmas.

Spatiotemporal Analysis of Light Purse Seine Fishing Vessel Operations in the Arabian High Seas Based on Automatic Identification System Data

Understanding the dynamic spatial distribution and characteristics of fishing activities is crucial for fisheries management and sustainable development. In recent years, small pelagic fish and cephalopods in the Arabian Sea have become new targets for light purse seine fishing; however, there is a lack of publicly available reports. This study uses automatic identification system (AIS) data from January to May and October to December of 2021 to 2022 in the region between 58°–70° E and 10°–22° N to extract spatial distribution information through three methods. The results show that with a spatial resolution of 0.25° × 0.25°, the spatial similarity index between the fishing ground information extracted in 2022 and catch data was consistently above 0.60, reaching 0.76 in March 2021 and 0.79 in November 2022, while the spatial similarity index in March 2022 exceeded 0.71. The spatial distribution of fishing effort and kernel density was similar to that of the fishing grounds, and the fishing intensity information exhibited the highest spatiotemporal similarity with commercial catch data, making it more suitable as a substitute for fishery data. Therefore, effective international cooperation and efficient joint management mechanisms for fishing vessels are needed to enhance the regulatory oversight of fishing vessels in this region. Integrating AIS data with other technological methods is crucial for more effective monitoring and management of fishing vessels. The findings presented in this paper provide both quantitative and qualitative scientific support for resource conservation and sustainable development in the region.

Information Asymmetric Cooperative Public Choice Games

This paper introduces information asymmetry, cooperation and payoff compensation mechanism into public choice games, and establishes an analytical frame for information asymmetric cooperative public choice games. This paper examines the coalition formation and the distribution of the cooperative payoff under the equilibrium public choice (if it does exist) in an information asymmetric public choice game under unanimity rule and those in an information asymmetric public choice game under majority rule, respectively. Arrow [1951] and Sen [1970] assumed that there is no cooperation and payoff compensation mechanism in a public choice game, and showed that rational individuals with individual sovereignty could not reach consensus on any public choice. This paper shows that, even in a public choice game of information asymmetry, the cooperation and payoff compensation mechanism may lead to the coalition equilibrium, the achievement of equilibrium public choice, and the distribution equilibrium of cooperative payoff of the coalition which supports the equilibrium public choice, whether the public choice games are under unanimity rule or under majority rule.