Displaying publications 1 - 20 of 200 in total

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  1. Bui WKT, Ross H, Mohamed Nor N
    Tob Control, 2024 Apr 19;33(3):341-345.
    PMID: 36207128 DOI: 10.1136/tc-2021-057210
    BACKGROUND: The tobacco industry contends that the illicit market in Malaysia occupies 62.3% of the total cigarette market. If this is true, Malaysia has one of the largest shares of illicit cigarettes in the world.

    METHODS: This study employs a rigorous gap analysis to measure the size of the illicit cigarette trade in Malaysia and compare it with the industry estimates.

    FINDINGS: We found that in 2019, the illicit cigarette market share ranged from 38.2% to 52.5%, depending on assumptions with respect to consumption under-reporting, which is substantially less than the industry estimates. We found that the size of the illicit cigarette market was not driven by higher excise tax: doubling the excise tax rate from RM0.20 to RM0.40 per stick in November 2015 resulted in only a slight increase in the illicit cigarette market share and no increase in the number of illicit cigarettes in the market.

    CONCLUSIONS: Therefore, a reduction in cigarette excise taxes, as suggested by the industry, will not solve the problem of illicit cigarette trade in Malaysia. Instead, the government should ratify the Framework Convention on Tobacco Control's Protocol to Eliminate Illicit Trade in Tobacco Products and implement the strategies outlined in the protocol.

    Matched MeSH terms: Commerce
  2. Umar M, Ahmad A, Sroufe R, Muhammad Z
    Environ Sci Pollut Res Int, 2024 Feb;31(10):15026-15038.
    PMID: 38285260 DOI: 10.1007/s11356-024-31952-8
    Enterprises across the globe are facing increasing pressure to effectively utilize resources and reduce costs through green supply chain practices. Emerging technology, such as blockchain technology which enables green practices, has become a contemporary industrial paradigm. However, enterprises need to build green intellectual capital to implement blockchain technology, which can be key to realizing green supply chain practices. This research examines the impact of green intellectual capital (GIC) on blockchain technology and its role in implementing green manufacturing to achieve sustainability. Partial least squares structural equation modeling was utilized for assessing the proposed hypotheses, and cross-sectional data was accumulated from manufacturing firms. As per the results, GIC, which includes green human capital, green structural capital, and green relational capital has a crucial role in the implementation of blockchain technology. The outcomes also indicated that the adoption of blockchain technology significantly influences green manufacturing. Moreover, green manufacturing (GM) has a substantial role in improving business sustainability. This empirical research provides a deeper understanding of how GIC and blockchain technology contribute to the implementation of GM. This research also provides guidelines that managers, policymakers, and producers can use to facilitate the incorporation of GM practice into business activities.
    Matched MeSH terms: Commerce
  3. Shroff SM, Sreeramareddy CT
    Subst Abuse Treat Prev Policy, 2024 Jan 25;19(1):11.
    PMID: 38273314 DOI: 10.1186/s13011-024-00592-z
    BACKGROUND: Marketing and sales of e-cigarettes are unregulated in Malaysia. We analyzed content displayed on e-cigarette retailer websites to identify marketing claims, promotional strategies, and product details in the year 2022.

    METHODS: We analyzed 30 Malaysia-based retailer websites using a mixed methods approach. Data were extracted as the frequency of occurrences of marketing claims, presence of regulatory information, product types, and flavors of e-juice as per a predefined codebook based on published literature. We also extracted textual details published on the websites about marketing claims, and slogans.

    RESULTS: Most retailer websites provided contact information and physical store addresses (83%) but only half had 'click through' age verification (57%) that seldom needed any identification proof for age (3%). Marketing claims were related to health (47%), smoking cessation (37%), and modernity/trend (37%) and none had health warnings. Promotional strategies were discounts (80%). starter kits (57%) and email subscriptions (53%). Product types displayed were rechargeable (97%) and disposable (87%) devices and e-liquids (90%) of an array of flavors (> 100). Nicotine presence, its concentration, and "nicotine is an addictive chemical" were displayed in 93%, 53%, and 23% of websites respectively.

    CONCLUSION: Surveillance of content displayed online on e-cigarette retailer websites and regulation of online marketing and sales should be implemented by the Ministry of Health, Malaysia. Such measures are needed to prevent access to, and initiation of e-cigarette use among the youth and adults who do not smoke.

    Matched MeSH terms: Commerce
  4. Zhang C, Phoong SW
    PLoS One, 2024;19(1):e0297977.
    PMID: 38295093 DOI: 10.1371/journal.pone.0297977
    The evolution of Internet technology is closely mirrored by the innovative business and profit models emerging within the platform economy. Integrating this economic framework, online video platforms are dynamically refining their pricing strategies to optimize profit margins. This paper, anchored in the theoretical construct of second-degree price discrimination, selects the Chinese online video platforms iQiyi and Tencent Video for in-depth case studies. It charts the progression of its pricing strategies and juxtaposes these with those of prominent international online video sites to highlight both congruities and divergences. The synthesis of theoretical models with real-world case studies culminates in strategic recommendations to foster the growth of Chinese online video platforms in the global Internet arena.
    Matched MeSH terms: Commerce*
  5. Handoyo RD, Ibrahim KH, Rahmawati Y, Faadhillah F, Ogawa K, Kusumawardani D, et al.
    PLoS One, 2024;19(1):e0296431.
    PMID: 38165859 DOI: 10.1371/journal.pone.0296431
    This study explores the determinants of the export performance of Indonesia's low-, medium-, and high-technology manufacturing industries by focusing on the role of raw-material imports and technical efficiency. Micro firm-level data from 2010-2015 were utilized for the analysis in this study. The stochastic frontier analysis was employed to measure technical inefficiency and to determine its effect on export performance. Our findings indicate that in all categories of industry technical efficiency, raw materials imports, foreign direct investment (FDI), location, firm size, labour productivity, and concentration of industries were significant determinants of export performance. While high efficiency increases exports in low- and medium-technology firms, exports decrease in firms with high efficiency accompanied by high imports, FDI, size, and labour productivity. Furthermore, in high-technology industries, efficiency reduces exports and again increases them when mediated by a concentration of industries and location. The empirical strategy also supports the positive effect of imports on export performance in both industries, which also aligns with decreased exports in firms with high imports accompanied by high FDI, efficiency, labour productivity, the concentration of industries, and size. To this end, the study has implications for low-, medium-, and high-technology manufacturing that are mainly concerned with increasing exports.
    Matched MeSH terms: Commerce
  6. Bostan Ali W, Olayinka JA, Alam MM, Immelman A
    PLoS One, 2024;19(2):e0294890.
    PMID: 38349933 DOI: 10.1371/journal.pone.0294890
    Micro, Small, and Medium-sized Enterprises (MSMEs) in Thailand were assessed in this study to determine the short-term and long-term economic effects of post-COVID- 19 -, with the goal of developing policy guidelines that focus on the methods and strategies that will further develop and help recover these sectors. MSMEs are the most vulnerable and require assistants to combat the pandemic. This study assesses the perspectives of stakeholders on the development of mechanisms and the strategies applied to support vulnerable groups in Thailand, which mostly consist of women and children. The main data collection was gathered through online questionnaires that were distributed to various stakeholder groups. The tools used for analysis were advanced quantitative analysis tools that aid in achieving this research study's objectives, and data was examined primarily through the usage of path modeling, structural equation modeling (SEM), and descriptive analysis was among the methods used. The findings reveal that in the short term, MSMEs' ability to respond to COVID-19 implications has a significant impact on both financial and non-financial performance. Non-financial performance, on the other hand, is more affected by adaptability than financial performance. Demand shock from lockdowns and other COVID-19 cautionary interventions has a negative and significant impact on MSMEs' adaptability, financial performance, and non-financial performance. The demand shocks increased the vulnerability of MSMEs significantly but it was found that proper management of demand shock has helped stabilized and improve MSMEs' financial and non-financial performances, as well as helped decrease their vulnerability. When it comes to government policy, the focus is usually on enhancing the flexibility and financial performance of MSMEs. The government's legislative actions have little impact on MSMEs' non-financial performance and vulnerability. This could be because the majority of the programs are more focused on providing financial assistance to businesses or their consumers. COVID-19's supply and demand shock only hindered MSMEs' ability to respond to the changes and challenges caused by the pandemic, according to vendors. The vulnerability of MSMEs caused by COVID-19 creates grave effects on their financial performance. The findings of this research paper will assist policymakers in identifying the most vulnerable aspects of MSMEs, as well as their expectations- and determine the forms of support that will be required to combat the current and future pandemic situations that may occur in Thailand. In addition, it will aid policymakers in the establishment of procedures and supporting strategies for MSMEs to reduce the unemployment rate and stimulate the Thai economy, among other factors of improvement.
    Matched MeSH terms: Commerce
  7. Zhang Q, Wang Y, Ariffin SK
    PLoS One, 2024;19(2):e0296339.
    PMID: 38358985 DOI: 10.1371/journal.pone.0296339
    The rapid development of live-streaming e-commerce has driven billions of sales revenues and made customers' purchase intention a life-and-death issue for sellers. This study examines the influencing factors of customers' purchase intention from a value perspective by adopting and extending the Theory of Consumption Values (TCV). We also incorporated streamer popularity as a moderating variable to reveal its significant impact on live-streaming e-commerce. This study collected 457 valid online questionnaires from Chinese live-streaming e-commerce users. Our findings show that five of six consumption values, namely functional, social, emotional, conditional, and self-gratification value, are significant drivers of purchase intention. In addition, streamer popularity has strengthened the influence of functional, social, emotional, and self-gratification value on purchase intention. This study deepens the current understanding of live-streaming and customer value research by establishing and validating a comprehensive research model, and reveals the decisive role of multi-dimensional value and streamer popularity in live-streaming industry. The research findings could guide live-streaming merchants to increase sales by reallocating their resources to different consumption values and optimising their investment strategy in popular streamers.
    Matched MeSH terms: Commerce*
  8. Gao X
    PLoS One, 2024;19(4):e0301286.
    PMID: 38578793 DOI: 10.1371/journal.pone.0301286
    Enhancing green innovation for business sustainability represents a pressing global challenge. In the context of the manufacturing industry, the relationship between proactive green innovation (PGI) and structural social capital (SSC) remains a profoundly under-researched area. Drawing upon the theories of social capital and dynamic capability (DC), this study investigated the relationship between SSC and PGI within manufacturing enterprises via three individual and sequential mediating factors, namely cognitive social capital (CSC), relational social capital (RSC), and DC. Adopting a cross-sectional quantitative design, this study collected survey data from 485 manufacturing sector employees in China using purposive sampling. Structural equation modeling analysis of the data revealed no significant direct impact of SSC on PGI, but a strong indirect impact through the sequential mediating influences of CSC, RSC, and DC. The findings suggests that PGI within manufacturing enterprises is not wholly shaped by SSC; rather, firm-level dynamic capabilities, characterized by a sequential mechanism, plays a crucial role in achieving PGI within these enterprises. This paper offers both theoretical and practical contributions and provides recommendations for future research based on its limitations.
    Matched MeSH terms: Commerce
  9. Zhou S, Hudin NS
    PLoS One, 2024;19(4):e0299087.
    PMID: 38635519 DOI: 10.1371/journal.pone.0299087
    In recent years, the global e-commerce landscape has witnessed rapid growth, with sales reaching a new peak in the past year and expected to rise further in the coming years. Amid this e-commerce boom, accurately predicting user purchase behavior has become crucial for commercial success. We introduce a novel framework integrating three innovative approaches to enhance the prediction model's effectiveness. First, we integrate an event-based timestamp encoding within a time-series attention model, effectively capturing the dynamic and temporal aspects of user behavior. This aspect is often neglected in traditional user purchase prediction methods, leading to suboptimal accuracy. Second, we incorporate Graph Neural Networks (GNNs) to analyze user behavior. By modeling users and their actions as nodes and edges within a graph structure, we capture complex relationships and patterns in user behavior more effectively than current models, offering a nuanced and comprehensive analysis. Lastly, our framework transcends traditional learning strategies by implementing advanced meta-learning techniques. This enables the model to autonomously adjust learning parameters, including the learning rate, in response to new and evolving data environments, thereby significantly enhancing its adaptability and learning efficiency. Through extensive experiments on diverse real-world e-commerce datasets, our model demonstrates superior performance, particularly in accuracy and adaptability in large-scale data scenarios. This study not only overcomes the existing challenges in analyzing e-commerce user behavior but also sets a foundation for future exploration in this dynamic field. We believe our contributions provide significant insights and tools for e-commerce platforms to better understand and cater to their users, ultimately driving sales and improving user experiences.
    Matched MeSH terms: Commerce*
  10. Liu F, Fan C, Li J, Tan Q
    J Environ Manage, 2023 Dec 15;348:119422.
    PMID: 37879176 DOI: 10.1016/j.jenvman.2023.119422
    International trade of plastic waste promotes the global plastic circular economy and improves resource efficiency, but exacerbates the ubiquitous plastic pollution. Understanding the drivers behind the evolution of the global plastic waste trade network (GPWTN) is pivotal for developing new international instruments to end plastic pollution and fostering clean solid-waste trade. Employing social network analysis (SNA) and quadratic assignment procedure (QAP) model, this study structures the GPWTN using bilateral trade data, revealing shifts from highly centralized to cross-layered networks and relevant drivers. It is suggested that Malaysia and Turkey has become the new key recipients of the GPWTN, replacing China, accompanied by the launch of new environmental regulations in some countries. Transportation cost is the most critical factor for the formation of the GPWTN, followed by gaps in resource demand, bio-based resource availability, and transportation accessibility. Trading partners in closer proximity, especially those with contiguous borders, are more likely to trade in waste plastics, while coastal countries play an important role in these partnerships. Economies with more abundant biomaterials, higher incomes, and greater environmental burdens are more likely to be exporters, while economies with scarcer resources and more compelling demands are more likely to import plastic waste. Countries involved in the trade in plastic waste, as either importers or exporters, receive varying degrees of economic benefits but bear potential environmental impacts. Therefore, global plastic pollution control and trade prosperity necessitates necessitate coordinated endeavors from nations and intergovernmental bodies for a mutually advantageous denouement.
    Matched MeSH terms: Commerce
  11. Verghis S
    Global Health, 2023 Nov 27;19(1):92.
    PMID: 38012736 DOI: 10.1186/s12992-023-00988-9
    BACKGROUND: Aligning with global evidence related to migrants and COVID-19, the pandemic highlighted and exposed long-standing structural inequities in the context of migrant populations in Malaysia who experienced a disproportionate level of exposure to SARS-CoV-2 and COVID-19 morbidity, as well as exacerbated precarity during COVID-19 owing to disruptions to their livelihoods, health, and life.

    MAIN BODY: Focusing on COVID-19 and migrant workers in Malaysia, this review addresses two research queries: (i) what are the policy responses of the government toward migrants with regard to COVID-19? (ii) what are the lessons learned from the Malaysian experience of COVID-19 and migrants that can inform pandemic preparedness, especially regarding migrant health policy? The review used Arksey and O'Malley's methodological framework refined by Levac, Colquhoun, and O'Brien. In addition to the PubMed, Web of Science, Scopus, and EBSCO databases, and Malaysian English language newspapers, including the Malay Mail, Malaysiakini, and the New Straits Times, the search also included reports from the websites of government ministries and departments, such as the Immigration Department, Ministry of Human Resources, Ministry of Health, and the International Trade and Industry Ministry.

    CONCLUSION: Using the case example of Malaysia and the policy approach toward migrant populations in Malaysia during the height of the COVID pandemic in 2020 and 2021, this paper unravels complex pathways and inter-linkages between the contexts of migration and health which coalesced to engender and exacerbate vulnerability to disease and ill-health for the migrant workers. The lack of coordination and coherence in policies addressing migrant workers during the pandemic, the normalization of cheap and disposable labor in neoliberal economic regimes, and the securitization of migration were key factors contributing to the failure of migration policies to provide protection to migrant workers during COVID-19. The review suggests that policy approaches embodying the principles of Health in All Policies, a whole-of-society approach, and the promotion of safe, just, and regular migration, predicated on equity and inclusion, are integral to a comprehensive and effective response to pandemics such as COVID-19.

    Matched MeSH terms: Commerce
  12. Wu J, Liew CY
    Environ Sci Pollut Res Int, 2023 Nov;30(51):110499-110514.
    PMID: 37792189 DOI: 10.1007/s11356-023-30139-x
    In recent years, academics have paid more attention to green finance, and public companies have reached a broad consensus on the concept of timely environmental, social, and governance (ESG) disclosure. Due to the close relationship between green finance and ESG, this presents an opportunity to determine whether green finance compels companies to actively disclose ESG. The sample for this study consists of China's non-financial A-share listed companies from 2010 to 2021, and the empirical findings demonstrate that green finance can positively influence the ESG performance of listed companies. Through an analysis of heterogeneity, this study reaches the following conclusions: state-owned enterprises, heavy pollution companies, and companies in low-carbon pilot cities perform better in terms of green finance's role in promoting ESG scoring. This study also introduces market concentration and social trust as the moderating variables, enriching the green finance research framework. Through the analysis of moderating variables, the 'black box' effect of green finance on ESG is disclosed, providing theoretical support for the government and companies to better comprehend the policy effect as well as a reference for reform and experimental promotion of green finance.
    Matched MeSH terms: Commerce/economics
  13. Bhatti SM, Al Mamun A, Wu M, Naznen F, Kanwal S, Makhbul ZKM
    Environ Sci Pollut Res Int, 2023 Sep;30(44):99855-99874.
    PMID: 37615918 DOI: 10.1007/s11356-023-29353-4
    The current global trend in sustainable business practices is to optimize green innovation performance. To protect the environment and maintain their own survival, organizations must strengthen their green innovation capabilities. Drawing on the recourse-based view and ecology modernization theory (EMT), this study examines the direct effect of green strategic orientations, green entrepreneurial orientation, green market orientation, green innovation orientation, and green organizational culture on the firm's green innovation capability, as well as the mediating effect of green innovation capability on the relationship of these four factors and green innovation performance. Besides, this study also explored the moderating effects of green management system implementation and firm size on the association between green innovation capability and green innovation performance. To test the hypothesized model, a questionnaire survey was administered to gather responses from 293 medium-sized and large manufacturing firms operating in Pakistan. The partial least squares method was used for data analysis. The results revealed that green entrepreneurial orientation, green market orientation, green innovation orientation, and green organizational culture positively impacted green innovation capability, which subsequently positively influenced green innovation performance. Moreover, effective implementation of green management systems can bolster the effect of green innovation capability on green innovation performance, and the mediating effect of green innovation capability has also been confirmed. These indicated that the management of medium and large manufacturing firms operating in Pakistan should focus on encouraging green innovation and training employees regarding the latest eco-friendly technologies to attain performance and sustainable development goals. Policymakers should implement green business development programs and offer rewards or penalties for promoting compliance. The present study contributes greatly to the literature by applying EMT as an alternative to address the mediating role of green innovation capability and the moderating effect of green management system implementation in enhancing firms' green innovation performance.
    Matched MeSH terms: Commerce*
  14. Negash YT, Sarmiento LSC, Tseng SW, Lim MK, Tseng ML
    Environ Sci Pollut Res Int, 2023 Sep;30(43):98156-98182.
    PMID: 37608173 DOI: 10.1007/s11356-023-29333-8
    This study develops a set of measures to address the interrelationship among circular waste-based bioeconomy (CWBE) attributes, including those of government strategy, digital collaboration, supply chain integration, smart operations, and a green supply chain, to build a circular bioeconomy that feeds fish waste back into the economy. CWBE development is a potential solution to the problem of waste reuse in the fish supply chain; however, this potential remains untapped, and prior studies have failed to provide the criteria to guide its practices. Such an analytical framework requires qualitative assessment, which is subject to uncertainty due to the linguistic preferences of decision makers. Hence, this study adopts the fuzzy Delphi method to obtain a valid set of attributes. A fuzzy decision-making trial and evaluation was applied to address the attribute relationships and determine the driving criteria of CWBE development. The results showed that government strategies play a causal role in CWBE development and drive digital collaboration, smart operations, and supply chain integration. The findings also indicated that smart manufacturing technology, organizational policies, market enhancement, supply chain analytics, and operational innovation are drivers of waste integration from fisheries into the circular economy through waste-based bioeconomy processes.
    Matched MeSH terms: Commerce
  15. Siddiqui R, Maciver SK, Anuar TS, Khan NA
    Am J Vet Res, 2023 Aug 01;84(8).
    PMID: 37353216 DOI: 10.2460/ajvr.23.03.0061
    OBJECTIVE: The objective of this study was to determine bacterial flora throughout the gastrointestinal tract of a saltwater crocodile (Crocodylus porosus) using 16S rRNA gene analysis.

    ANIMALS: A convention on international trade in endangered species (CITES) of wild fauna and flora registered crocodile farm, provided a healthy male saltwater crocodile, Crocodylus porosus for this study.

    PROCEDURES: Three samples were taken from the oral cavity, 3 samples from the proximal region of the small intestine (jejunum), and 3 samples from the distal part of the large intestine of the gastrointestinal tract of C. porosus were obtained using sterile cotton swabs. Next, swabs were placed in 15 mL sterile centrifuge tubes, individually, and kept on ice for immediate transportation to the laboratory. This was followed by 16S rRNA gene analysis using specific primers (341F-CCTAYGGGRBGCASCAG, and 806R-GGACTACNNGGGTATCTAAT). Amplicons were sequenced on Illumina paired-end platform, and bacterial gastrointestinal communities, the relative abundance of taxa, and principal component and coordinate analysis were performed.

    RESULTS: The findings revealed that bacterial community structures from differing regions exhibited several differences. The number of observed bacterial operational taxonomic units (OTUs) was 153 in the oral cavity, 239 in the small intestine, and 119 in the large intestine of C. porosus. The small intestine reflects the highest richness. In contrast, the large intestine exhibited the least richness of microbial communities. Relative abundance of taxa showed that Proteobacteria, Bacteroidetes, and Firmicutes were dominant in all 3 sample sites. Pseudomonas differed in the oral cavity and the large intestine, with the latter exhibiting less distribution of Pseudomonas. Stenotrophomonas and Castellaniella were higher in the oral cavity, while the relative abundance of Comamonas and Salmonella was higher in the small intestine. Conversely, the relative abundance of Salmonella and Pannonibacter was augmented in the large intestine.

    CLINICAL RELEVANCE: For the first time, this study demonstrates the bacterial diversity along the segments of the gastrointestinal tract of C. porosus. Bacterial flora varies throughout the gastrointestinal tract. Although further studies using large cohorts are warranted; however, our findings suggest that microbiome composition may have the potential as a biomarker in determining the overall health and well-being of C. porosus.

    Matched MeSH terms: Commerce
  16. Piprani AZ, Khan SAR, Salim R, Khalilur Rahman M
    Environ Sci Pollut Res Int, 2023 Aug;30(39):90615-90638.
    PMID: 37460891 DOI: 10.1007/s11356-023-28507-8
    This article provides a theoretical framework for comprehending the connections between dynamic data analytics capability (DDAC), innovation capabilities (IC), supply chain resilience (RES), and sustainable supply chain performance (SSCP). Since this is the first empirical investigation of the sequential mediation effect between DDAC and SSCP through IC and RES, it fills a critical need in the supply chain literature. A quantitative methodology was used, involving a survey questionnaire distributed to 259 large Pakistani manufacturing firms. We used PLS-SEM to test for the expected associations. Findings show that using DDAC has a beneficial effect on both innovative and resilient capabilities, which in turn leads to better SSCP. The research illuminates the sequential mediating roles of product, process, and resilience, underlining the need of combining data-driven innovation with resilience in order to achieve sustainable supply chain performance. These results provide useful guidance for businesses that want to boost their sustainability results by taking a more all-encompassing approach to data-driven innovation and resilience.
    Matched MeSH terms: Commerce
  17. Khan PA, Johl SK, Kumar A, Luthra S
    Environ Sci Pollut Res Int, 2023 Apr;30(19):55237-55254.
    PMID: 36882655 DOI: 10.1007/s11356-023-26262-4
    The current production and conception have impacted the environmental hazards. Green innovation (GI) is the ideal solution for sustainable production, consumption, and ecological conservation. The objective of the study is to compare comprehensive green innovation (green product, process, service, and organization) impact on firm financial performance in Malaysia and Indonesia, along with the first study to measure the moderation role of the corporate governance index. This study has addressed the gap by developing the green innovation and corporate governance index. Collected panel data from the top 188 publicly listed firms for 3 years and analyzed it using the general least square method. The empirical evidence demonstrates that the green innovation practice is better in Malaysia, and the outcome also shows that the significance level is higher in Indonesia. This study also provides empirical evidence that board composition has a positive moderation relationship betwixt GI and business performance in Malaysia but is insignificant in Indonesia. This comparative study provides new insights to the policymakers and practitioners of both countries to monitor and manage green innovation practices.
    Matched MeSH terms: Commerce*
  18. Ke W, Lu S
    Environ Sci Pollut Res Int, 2023 Apr;30(17):49744-49759.
    PMID: 36781669 DOI: 10.1007/s11356-023-25691-5
    This paper examines the impact of green credit (GC) on digital technology innovation based on Chinese enterprises using panel data from 1990 to 2016. The study collected panel data from the 40 Chinese firms listed on the Beijing and Wuhan stock markets. Manufacturing companies were selected because they mainly contribute to green credit from pre- and post-policy periods. First, in the "two high and one surplus" sectors, the application of China's Green Credit 2012 could significantly increase total factor digital technology innovation by 1.21%. Results show a considerable drop in the variable values of digital technology innovation, 61.3%; green credit policy, 10.45%; leverage, 21.0%; and green innovation, 85.4%. The results of the absolute value of standard error after matching is much lower than 20.0%, demonstrating that the variable features of the two sets of samples are similar. In conclusion, GC's impact on the FDI of capital was asymmetrical, reflecting various impacts on businesses with various types of property rights and sizes.
    Matched MeSH terms: Commerce
  19. Neo YT, Chia WY, Lim SS, Ngan CL, Kurniawan TA, Chew KW
    Food Res Int, 2023 Mar;165:112480.
    PMID: 36869493 DOI: 10.1016/j.foodres.2023.112480
    Production and extraction systems of algal protein and handling process of functional food ingredients need to control several parameters such as temperature, pH, intensity, and turbidity. Many researchers have investigated the Internet of Things (IoT) approach for enhancing the yield of microalgae biomass and machine learning for identifying and classifying microalgae. However, there have been few specific studies on using IoT and artificial intelligence (AI) for production and extraction of algal protein as well as functional food ingredients processing. In order to improve the production of algal protein and functional food ingredients, the implementation of smart system is a must to have real-time monitoring, remote control system, quick response to sudden events, prediction and characterisation. Techniques of IoT and AI are expected to help functional food industries to have a big breakthrough in the future. Manufacturing and implementation of beneficial smart systems are important to provide convenience and to increase the efficiency of work by using the interconnectivity of IoT devices to have good capturing, processing, archiving, analyzing, and automation. This review investigates the possibilities of implementation of IoT and AI in production and extraction of algal protein and processing of functional food ingredients.
    Matched MeSH terms: Commerce
  20. Mehmood W, Alsmady AA, Amin S, Mohd-Rashid R, Aman-Ullah A
    Environ Sci Pollut Res Int, 2023 Mar;30(11):30073-30086.
    PMID: 36427127 DOI: 10.1007/s11356-022-23985-8
    This study examined the effect of air pollution on the initial return of IPOs in Pakistan. Cross-sectional data were used to examine 102 listed IPOs on Pakistan Stock Exchange between 1996 and 2019. Ordinary least squares and quantile least squares were employed to examine the influence of air pollution on IPO initial returns. Lastly, stepwise regression was utilised for additional analysis. According to the findings, in the presence of high air pollution, IPO initial returns also increase due to higher uncertainty. The findings demonstrate that air pollution intensifies a company's information environment and financial uncertainty. Therefore, addressing environmental challenges is critical for both public health and capital formation. This study's findings will increase companies' awareness of the economic effect of air pollution, particularly in a country where air pollution is strictly regulated. This study provides businesses with an economic reason to reduce their pollution levels, and it can also help regulators pass environmental laws that are aimed at addressing this issue.
    Matched MeSH terms: Commerce
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