Search Results (42)

Under the global climate governance framework, advancing China’s “Dual Carbon” goals within the context of sustainable development requires detailed, micro-level research. While existing studies predominantly focus on national or provincial macro scales, there remains a critical gap in county-level analyses that account for regional heterogeneity—particularly in geographically and economically transitional provinces like Shaanxi. This study focuses on 107 counties in Shaanxi Province, using land-use data from 2000 to 2022 to construct carbon emission and carbon compensation accounting models. We measure horizontal carbon compensation standards, examine spatiotemporal patterns of carbon emissions, delineate compensation zones, and propose regional low-carbon development strategies to inform sustainable development planning. The results show the following: (1) They reveal a steady increase in CO₂ emissions over the period (from 940 million tons in 2000 to 2.089 billion tons in 2022), highlighting an ongoing challenge for sustainability, with a spatial pattern of “high in the north, low in the south, and outward expansion from the center.” (2) In 2022, carbon payments across the province totaled CNY 1.068 billion, while compensation reached CNY 670 million, with significant spatial heterogeneity: 87 counties identified as payers (66 heavy) and 20 as receivers (17 heavy). (3) By integrating the Economic Contribution Coefficient, Ecological Support Coefficient, and Carbon Offset Rate with Major Function-oriented Zoning, we classify the counties into 12 carbon compensation subregions and recommend gradient-based development strategies. This refined zoning framework provides a clear operational framework for formulating differentiated low-carbon land-use optimization strategies and regional carbon compensation policies tailored to the characteristics of different functional zones. The research findings offer differentiated compensation standards and low-carbon land-use planning guidelines to support Shaanxi Province’s transition towards sustainable development, serving as a reference for carbon governance and sustainable development practices in China’s provinces with transitional geographical features and promoting the realization of China’s “Dual Carbon” targets as integral components of national sustainable development. Full article

This study focuses on tax evasion within the framework of earmarking taxation, specifically focusing on the evasion of car ownership taxes. We utilize a unique and extensive micro-database that combines information on regular payments of the tax due, late payments following friendly warnings, and non-payment of vehicle ownership taxes, integrated with fiscal data, individual data, and municipal-level data. The empirical analysis examines individual, socio-economic, and institutional factors related to this issue. Drawing a rich dataset from the 2014 Tuscany car tax, we employ a multilevel logistic model for our empirical investigation. Our findings reveal that tax evasion poses an equity problem, as the inclination to evade vehicle ownership taxes is concentrated among specific demographic categories and types of vehicles. We also suggest that regional-level policies, such as friendly warnings, could be more effective if implemented with greater rigour. Lastly, our results indicate that reinforcing civic responsibility and enhancing institutional and political quality could prove particularly beneficial in enhancing tax compliance. Full article

Government efforts and reforms in health financing systems in various countries are aimed at achieving universal health coverage. Household spending on healthcare plays a very important role in achieving this goal. The aim of this systematic review was to assess out-of-pocket health expenditure inequalities measured by the FIA across different territories, in the context of achieving UHC by 2030. A comprehensive systematic search was conducted in the PubMed, Scopus, and Web of Science databases to identify original quantitative and mixed-method studies published in the English language between 2016 and 2022. A total of 336 articles were initially identified, and after the screening process, 15 articles were included in the systematic review, following the removal of duplicates and articles not meeting the inclusion criteria. Despite the overall regressivity, insurance systems have generally improved population coverage and reduced inequality in out-of-pocket health expenditures among the employed population, but regional studies highlight the importance of examining the situation at a micro level. The results of the study provide further evidence supporting the notion that healthcare financing systems relying less on public funding and direct tax financing and more on private payments are associated with a higher prevalence of catastrophic health expenditures and demonstrate a more regressive pattern in terms of healthcare financing, highlighting the need for policy interventions to address these inequities. Governments face significant challenges in achieving universal health coverage due to inequalities experienced by financially vulnerable populations, including high out-of-pocket payments for pharmaceutical goods, informal charges, and regional disparities in healthcare financing administration. Full article

Aimed at advancing the reform of the Paid Use of Residential Land, this study investigates the willingness to pay among farmers and its underlying factors. Based on a Logistic Regression analysis of a micro-survey of 450 pieces of data from the Sichuan Province in 2023, we evaluated the effects of three factors, namely individual, regional and cultural forces. Further, Random Forest analysis and SHAP value interpretation refined our insights into these effects. Firstly, the research reveals a significant willingness to pay, with 83.6% of sample farmers being ready to participate in the reform, and 53.1% of them preferring online payment (the funds are mostly expected to be used for village infrastructure improvements). Secondly, the study implies that Individual Force is the most impactful factor, followed by regional and cultural forces. Thirdly, the three factors show different effects on farmers’ willingness to pay from different income groups, i.e., villagers with poorer infrastructure and lower clarity of homestead policy systems tend to be against the reform, whereas farmers with strong urban identity and collective pride support it. Based on these findings, efforts should be made to increase the publicity of Paid Use of Residential Land. Moreover, we should clarify the reform policies, accelerate the development of the online payment platform, use the funds for village infrastructure improvements, and advocate for care-based fee measures for disadvantaged groups. Full article

Although self-service facilities (SSFs) have been used on a large scale worldwide, they can be easily contaminated by microorganisms from the hands of their sequential users. This research aimed to study the prevalence and antimicrobial susceptibility/resistance of bacteria contaminating SSFs in Sakaka, Aljouf, Saudi Arabia. We randomly swabbed the surfaces of 200 SSFs, then used the suitable culture media, standard microbiological methods, and the MicroScan WalkAway Microbiology System, including the identification/antimicrobial susceptibility testing-combo panels. A high SSFs’ bacterial contamination load was detected (78.00%). Ninety percent of the samples collected in the afternoon, during the maximum workload of the SSFs, yielded bacterial growth (p < 0.001 *). Most of the contaminated SSFs were supermarket payment machines, self-pumping equipment at gas stations (p = 0.004 *), online banking service machines (p = 0.026 *), and barcode scanners in supermarkets. In the antiseptic-deficient areas, 55.1% of the contaminated SSFs were detected (p = 0.008 *). Fifty percent of the contaminated SSFs were not decontaminated. The most common bacterial contaminants were Escherichia coli (70 isolates), Klebsiella pneumoniae (66 isolates), Staphylococcus epidermidis (34 isolates), methicillin-resistant Staphylococcus aureus (18 isolates), and methicillin-sensitive Staphylococcus aureus (14 isolates), representing 31.53%, 29.73%, 15.32%, 8.11%, and 6.31% of the isolates, respectively. Variable degrees of reduced sensitivity to some antimicrobials were detected among the bacterial isolates. The SSFs represent potential risks for the exchange of antimicrobial-resistant bacteria between the out-hospital environment and the hospitals through the hands of the public. As technology and science advance, there is an urgent need to deploy creative and automated techniques for decontaminating SSFs and make use of recent advancements in materials science for producing antibacterial surfaces. Full article

A blockchain-oriented continuous micropayment system forms an integral element of the digital economy, enabling seamless transactions and encouraging minor purchases. However, due to the inherent throughput constraints of blockchain, payment channels (PCs) are customarily deployed for managing high-volume transactions in an off-chain mode. Despite this, the integration of a PC necessitates a trusted intermediary to safeguard transactional security, thereby imposing an extra security assumption as only the initial and concluding transactions are visible to other system participants. To circumvent this limitation, we introduce an innovative micropayment structure utilizing lockable signatures. Each transaction within the PC coalesces into a continuous microtransaction hash-chain (CMHC), precluding unscrupulous users from accessing transactional data during the process. Additionally, all locks within the CMHC remain concealed throughout the transaction, with all information relayed in a tamper-proof manner. We provide a comprehensive security analysis and perform a gamut of evaluations. Empirical evidence indicates that our proposed system outperforms existing state-of-the-art solutions in transaction time and verification expenses. This lockable signature-dependent micropayment system not only ensures robust security but also enhances transactional speed and efficiency, thereby catalyzing the growth of the digital economy. Full article

The common reed (Phragmites australis) is a frequent dominant species in European wetlands. Yet, its performance can vary in response to different combinations of environmental factors. This accounts for P. australis decline on deep-water sites, its stable performance in constructed wetlands with subsurface horizontal flow and its expansion in wet meadows. Reed stands provide habitats for nesting, feeding or roosting of vulnerable bird species. Conservation measures aim at preventing or stopping the decline of P. australis stands, increasing their micro-habitat heterogeneity and reducing the reed penetration into wet meadows. Service-oriented measures aim at providing suitable conditions for direct use of reed stalks for roof thatching or as a renewable energy crop or the use of the reed-dominated habitats for waterfowl hunting, cattle grazing or fishing. The compatibility between nature conservation and different socioeconomic uses can be promoted by collective agreements, agri-environmental contracts or payments for ecosystem services of the reedbeds. In situations with multiple uses, a modelling approach considering the participation of all the stakeholders concerned can be a useful tool for resolving conflicts and developing a shared vision of the respective socio-ecosystem. Full article

The present study aimed to determine the optimum policy component in an example of potato cultivation development based on the principle of the efficient use of scarce resources and maximizing the benefit of the producer. Agricultural support policies are commonly implemented by adopting a top-down approach. Regarding benefit maximization at the target group level, policies for agricultural products should be determined with a bottom-up approach. In this manner, in the present study, potato producers were determined to be the target group. Therefore, this study investigated the policy component that provides the highest benefit in line with the demands, expectations, and tendencies of the target group. The micro-data obtained from the potato-growing enterprises operating in provinces where potato cultivation was intensively carried out within the scope of Turkey constituted the research data. A face-to-face survey technique was used as the method for collecting the producer data. Simple descriptive statistics and one of the multivariate analysis techniques, conjoint analysis, were applied in the analysis and evaluation of the data. The optimum policy component setup was determined to be “Price and Payment Support: Above Market Price and 2 months term, Support Area and Amount: to production, 25.47 USD/da (23.04 EUR/da), time of announcement for the supports: pre-planting, and producer’s declaration: I do (I declare)” for the potato product. Accordingly, the necessity of a bottom-up approach in the planning and implementation of an agricultural support policy in Turkey is explained based on the results obtained. Therefore, it is considered necessary and beneficial to measure the level of producer benefits on the focus of applications that encourage potato production. Full article

Identifying factors influencing the viability of medium, small, and micro scale construction firms (MSMSCFs) is a crucial precursor in positioning such firms to aid economic and infrastructural development, especially in developing countries. This article assesses viability factors that are influenced by building information modeling (BIM) in MSMSCFs amidst construction firms’ viability factors. Out of a total of 177 workers surveyed from 59 MSMSCFs that were awarded construction project contracts in sampled institutions in Nigeria, 65 staff members from 31 MSMSCFs were accessed. The factors were ranked and reduced to significant ones through principal component analysis. Ten significant factors influence the viability of MSMSCFs and six of them are enhanced by BIM implementations. All eight component factors and 18 of the 27 variables with high factor loadings can be influenced by BIM implementation. BIM can potentially curb corruption in construction projects and enhance MSMSCFs’ quality of service, clients’ satisfaction, construction management and technology, professional performance, procurement practices, and prompt payment of work certificates. All stakeholders need to pay prompt attention to factors that can be influenced by BIM to improve the viability of MSMSCFs, thereby hastening BIM adoption and utilization, especially in developing countries. Full article

Small and medium-sized businesses (SMEs) are frequently exposed to a variety of difficulties during global epidemic crises like coronavirus (COVID-19), which may even threaten their lives. The purpose of this study explores the influencing factors of Taiwan’s companies between small and medium-sized enterprises and micro-enterprises on the choice of the cross-border e-commerce platform. The findings are defined as taking into account small and medium-sized businesses and microenterprises when choosing cross-border e-commerce through a literature review and an examination of secondary data among the 10 participating businesses through interviews in various regions and business sectors in Taiwan. In this case we used study-based research, which included five small, medium-sized, and micro-enterprises, as well as five cross-border e-commerce projects and the company’s management senior officers. According to the study’s emphasis on the economic, social, technological, and legal aspects of various firms, these factors lead to a variety of decisions regarding the best cross-border e-commerce platform. The case study approach was utilized in this investigation to confirm the consideration of micro-and small-sized businesses that took part in cross-border e-commerce project counseling. This study summarizes five types of enterprises with different capabilities: product enhancement, marketing enhancement, cross-border potential, knowledge-based enhancement, and cross-border start-up. According to the results, it was found that different enterprise capabilities will affect the choice of cross-border e-commerce platforms. These five capabilities also have different types of consideration factors; among them, SMEs pay attention to marketing, pricing, market analysis, culture, customer service, payment, logistics, certification, taxation, etc. In addition to theoretical implications, this research also gives small and medium enterprises and micro-enterprises practice when choosing cross-border e-commerce platform, as well as suggestions for future research. Full article

The dual credit policy is currently the main starting point for China to achieve the green and sustainable development of the auto market. However, the policy’s impact on future market development remains unclear. It is necessary to consider the market capacity constraints and the market competition environment. By researching the impact of the dual credit policy on the micro-decision-making of automakers and the long-term evolution of the macro-auto market, the effect of the dual credit policy on the Chinese auto industry is obtained. This paper considers the market capacity constraint, combines the competitive relationship and game payment matrix between NEV makers and CFV makers, constructs a game model of the competition density between NEVs and CFVs, simulates the development and evolution of China’s auto market size, and analyzes the effect of the quantitative parameters of the dual credit policy on the auto market. The results show that: (1) the increase in NEV makers’ sale of credits will stimulate their production incentives, and the increase in conventional fuel vehicle (CFV) makers’ cost of purchasing credits will reduce their production incentives; (2) tightened fuel consumption standards for CFVs has an enhanced stimulating effect on the increase in the market share of NEVs, which can effectively reduce the market share of CFVs; (3) the price of credits facilitates the growth of the NEV market share, but credit prices that are too high do not stimulate the growth of the NEV market share to a significant degree; (4) the increase in the proportion of credits required for NEVs and the increase in the price of credits together help to reduce the market share of CFVs and increase the market share of NEVs. Full article

This study attempts to reveal the consequences of coronavirus disease 2019 (COVID-19) on micro, small, and medium enterprises (MSMEs) in Chiang Mai, Thailand. A total of 786 MSMEs were surveyed during May and August 2022, corresponding to the period when the recovery of businesses and livelihoods from the ongoing COVID-19 crisis became more perceptible. The perceptions of COVID-19’s impact on MSMEs and their survivability are explored and investigated. To achieve this goal, a copula-based sample selection survival model is introduced. This idea of the model is extended from the concept of the Cox proportional hazards model and copula-based sample selection model, enabling us to construct simultaneous equations—namely, the probability-of-failure equation (selection equation) and the duration-of-survival equation (time-to-event or outcome equation). Several copula functions with different dependence patterns are considered to join the failure equation and the duration-of-survival equation. By comparing the Akaike and Bayesian information criteria values of the candidate copulas, we find that Farlie–Gumbel–Morgenstern (FGM) copula performs the best-fit joint function in our analysis. Empirically, the results from this best-fit model reveal that the survival probability of MSMEs in the next year is around 80%. However, some MSMEs may not survive more than three months after the interview. Finally, our results also reveal that the tourism MSMEs have a lower chance of survival than the commercial and manufacturing MSMEs. Notably, the business size and the support schemes from the government—such as the debt restructuring process, the tax payment deadline extension, and the reduced social security contributions—exhibited a role in lengthening the survival duration of the non-surviving MSMEs. Full article

The development of fast-moving consumer goods (FMCGs) retail has demonstrated an evolution of buyer–seller interactions. In the era of digital transformation, FMCGs and micro, small, and medium enterprises (MSMEs) can easily use website applications to shop for various products from suppliers, make payments, and access a wider variety of products with more efficient delivery. However, empirical studies on loyalty drivers on B2B relationships for business sustainability in the retail industry have not received much attention. This research aimed to examine the factors that influence loyalty and analyze the mediating role of MSME loyalty by discussing a new conceptual framework designed based on the buyer–seller relationship theory and relational marketing. Data were collected from 500 owners or managers of FMCG retail stalls in various provinces in Indonesia and analyzed using structural equation modeling (SEM). The results showed that merchandising, website quality, commitment, and satisfaction have a positive effect on loyalty, as opposed to service quality and trust. There are also different roles in the mediating variables of trust, commitment, and satisfaction on retail store loyalty. These findings were useful for policymakers, managers, and practitioners to clarify the influence of service quality, merchandising website quality, and the role of relationship quality on loyalty in the era of digital transformation. Full article

With the electric power grid experiencing a rapid shift to the smart grid paradigm over a deregulated energy market, Internet of Things (IoT)-based solutions are gaining prominence, and innovative peer-to-peer (P2P) energy trading at a micro level is being deployed. Such advancement, however, leaves traditional security models vulnerable and paves the path for blockchain, a distributed ledger technology (DLT), with its decentralized, open, and transparency characteristics as a viable alternative. However, due to deregulation in energy trading markets, most of the prototype resilience regarding cybersecurity attack, performance and scalability of transaction broadcasting, and its direct impact on overall performances and attacks are required to be supported, which becomes a performance bottleneck with existing blockchain solutions such as Hyperledger, Ethereum, and so on. In this paper, we design a novel permissioned Corda framework for P2P energy trading peers that not only mitigates a new class of cyberattacks, i.e., delay trading (or discard), but also disseminates the transactions in a optimized propagation time, resulting in a fair transaction distribution. Sharing transactions in a permissioned R3 Corda blockchain framework is handled by the Advanced Message Queuing Protocol (AMQP) and transport layer security (TLS). The unique contribution of this paper lies in the use of an optimized CPU and JVM heap memory scenario analysis with P2P metric in addition to a far more realistic multihosted testbed for the performance analysis. The average latencies measured are 22 ms and 51 ms for sending and receiving messages. We compare the throughput by varying different types of flow such as energy request, request + pay, transfer, multiple notary, sender, receiver, and single notary. In the proposed framework, request is an energy asset that is based on payment state and contract in the P2P energy trading module, so in request flow, only one node with no notary appears on the vault of the node.Energy request + pay flow interaction deals with two nodes, such as producer and consumer, to deal with request and transfer of asset ownership with the help of a notary. Request + repeated pay flow request, on node A and repeatedly transfers a fraction of energy asset state to another node, B, through a notary. Full article

With the emergence of non-fungible tokens (NFTs) in blockchain technology, educational institutions have been able to use NFTs to reward students. This is done by automatically processing transaction information and the buying and selling process using smart contract technology. The technology enables the establishment of recognition levels and incentivizes students to receive NFT recognition rewards. According to the Taxonomy Learning Pyramid, learning through hands-on experiences plays a crucial role in attracting students’ interest. In this study, we analyzed the potential for using NFTs in education and the current applications of NFTs in society. We conducted a case study and performed a preliminary investigation of the types of NFT applications in the education industry. We then analyzed different education industries using individual analysis combined with SWOT analysis to understand the impact, value, and challenges of NFT applications. The results revealed 10 educational applications of NFT: textbooks; micro-certificates; transcripts and records; scholarships and rights; master classes and content creation; learning experiences; registration and data collection; patents, innovation, and research; art; payment; and deposit. Finally, ways to reduce the negative impact of education NFTs on the sustainable environment are discussed. Full article