Impact of pollution prevention practices and green environmental practices on sustainable performance: Empirical evidence from Chinese SMEs.

Adequate protection of the environment is one of the hot spots of concern for all sectors of society due to severe environmental pollution. The solution to this issue is friendly management of the environment. With the rapid growth of Chinese Manufacturing SMEs for economic development, environmental pollution and abuse of resources are arising. To resolve these issues, Chinese manufacturing SMEs are accelerating the implementation of green innovation in their industries. However, it is a complex task that involves enterprise, government, and social considerations. Therefore, it is essential to identify the green drivers for this implementation. With a focus on China's current situation from previous research and views from experts, this study aims to investigate how Chinese Manufacturing Small and Medium-sized Enterprises (SMEs) are responding to resource misuse and environmental pollution by implementing green innovation, emphasising the role of artificial intelligence (AI) in improving environmental performance. This study primarily looks into the factors that influence the adoption of green innovations by analysing the growth paths of Chinese SMEs operating in highly polluting industries over a longer time frame than five years. Artificial Intelligence is a valuable tool for solving the issues of ecological degradation. A quantitative method has been implemented for the Chinese companies' samples from the deeply polluting industries for more than five years. The findings of this paper advise that the average board size, the governing board meetings, and organizational performance are positively connected with the Chinese firms' environmental process. Board independence and diversity of gender have irrelevant associations with ecological performance. A convenient threshold regression model has been used to accumulate the respondents' data. It also reveals that larger board sizes and more frequent governing board meetings are positively associated with improved environmental performance among these firms. The findings state the critical implications for the firm executives, policymakers, environmental activists, and regulators. This result supports the insight drained from the resource dependence, stakeholder, firm agency, and legitimacy theories.

Role of environmental ownership and associated parameters to assess green patents in technologies with environmental scanning system as a controlling factor.

There is a general conception that environmental firms are more adapted to green solutions, and environmental patents are just lagging. The existing literature has paid particular attention to identifying obstacles and situational factors associated with established firms going green and has concentrated on how and why established businesses are becoming more financially viable and ecologically sustainable. In changing environment, manufacturing companies are direct contributors to environmental impacts. Increased awareness of consumers about the environment puts a handful amount of pressure on manufacturing companies to care about the environment. It also asserts unseen pressure on the financial performance of the companies. Therefore, it is time to go for green patenting of such firms while satisfying the eco-innovation and environmental scanning process. Moreover, Environmental ownership and its associated parameters keenly monitor this aspect. This paper evaluates the performance of the support vector machine (SVM/SVR) approach for estimating patents in environment-related technologies (PERT) in China from 1995 to 2021. For this work, six independent variables related to environmental ownership and environment-related technologies were selected, which include medium and high-tech exports (MHTE), green patents applicants (GPA), listed domestic companies (LDC), human capital index (HCI), self-employment (SE), and manufacturing value added in GDP (MVA). Data for dependent and independent variables were gathered from the World Bank (WB) official data bank portal. To make an initial understanding of the data basic statistical summary was computed in R programming to see the mean, minimum and maximum values in the data set. A correlation matrix plot showed the association between dependent and independent variables. SVM/SVR with radial basis function (RBF) regression was applied to see the impact of contributing parameters that influence PERT. For PERT, the model generated 0.95 R2 (RMSE = 92.43). The results of the SVR showed that the association among environmental parameters is strong. With a value of 4.82, the strongest coefficient in the SVR model is PAR. This work is novel and will benefit the manufacturing sector, analysts, policymakers, environmentalists as how green patenting can boost the eco innovation and environmental ownership and scanning system with advance technologies and practices.

Health and well-being benefits of spending time in forests: systematic review.

BACKGROUND: Numerous studies have reported that spending time in nature is associated with the improvement of various health outcomes and well-being. This review evaluated the physical and psychological benefits of a specific type of exposure to nature, forest therapy. METHOD: A literature search was carried out using MEDLINE, PubMed, ScienceDirect, EMBASE, and ProQuest databases and manual searches from inception up to December 2016. Key words: "Forest" or "Shinrin -Yoku" or "Forest bath" AND "Health" or "Wellbeing". The methodological quality of each randomized controlled trials (RCTs) was assessed according to the Cochrane risk of bias (ROB) tool. RESULTS: Six RCTs met the inclusion criteria. Participants' ages ranged from 20 to 79 years. Sample size ranged from 18 to 99. Populations studied varied from young healthy university students to elderly people with chronic disease. Studies reported the positive impact of forest therapy on hypertension (n = 2), cardiac and pulmonary function (n = 1), immune function (n = 2), inflammation (n = 3), oxidative stress (n = 1), stress (n = 1), stress hormone (n = 1), anxiety (n = 1), depression (n = 2), and emotional response (n = 3). The quality of all studies included in this review had a high ROB. CONCLUSION: Forest therapy may play an important role in health promotion and disease prevention. However, the lack of high-quality studies limits the strength of results, rendering the evidence insufficient to establish clinical practice guidelines for its use. More robust RCTs are warranted.

Measuring the performance of green investment portfolios for zero-carbon environment: a comparative analysis of digital finance and asset-backed securities.

This study presents a comparative examination of the performance of green investment portfolios to attain a zero-carbon environment by studying assests-backed securities. Using the portfolio return, the draw ratio, or the ROMAD as measures, the numerical findings. The study intention is to measure and assess the success of green investment portfolios. This will probably include weighing the costs and advantages of several routes toward a carbon-free future, and the major emphasis is on measuring the effectiveness of financial investments in promoting ecological sustainability. The research specifically examines the use of digital finance and asset-backed securities (ABS). This research evaluates the efficacy of these two methodologies in promoting sustainable investments, using relevant scholarly literature and empirical evidence. The study examines many essential indicators, including risk-adjusted returns, carbon footprint reduction, and market stability. The research elucidates the merits and drawbacks of various approaches in fostering ecologically sustainable investments, drawing on case studies and real-world illustrations. The results of this study provide valuable insights into how digital finance and asset-backed securities (ABS) might effectively contribute to the attainment of zero-carbon objectives, all the while maintaining financial stability. This study provides valuable insights for politicians, investors, and financial institutions to make well-informed choices on implementing these initiatives in the context of sustainable development.

Tamarindus indica seed polysaccharide-copper nanocomposite: An innovative solution for green environment and antimicrobial studies.

The purpose of this study was to synthesize ecofriendly nano-composite in which agricultural waste (seeds of Tamarindus indica) was used to synthesize tamarind seed polysaccharides (TSP) and its composite with copper nanoparticles (Cu-NPs) for the purpose of green and clean environment as well as reduction of green-house gases. Confirmation of extracted TSP, synthesized nanocomposite was carried out using FTIR, SEM, PXRD and EDX techniques. In FTIR analysis TSP gives a strong broad peak at 3331 cm-1 due to -OH group and in case of composite its intensity is reduced which might be due to the interactions between -OH and Cu+2 ions. SEM analysis gives that TSP have irregular and rough surface while Cu-NPs exhibited spherical morphology and composite showed clustering of spherical shape to rough surface. EDX analysis quantitatively represented copper having atomic ratio 0.57 % which confirms the synthesis of composite. Furthermore, synthesized composite demonstrated excellent antibacterial activity against gram-positive (S.aureus) and gram-negative bacteria (E.coli) even greater than standard medicine (ciprofloxacin). From this study it was revealed that agriculture waste can be utilized to make environment green as well as synthesized composite from agricultural waste seed also displayed excellent antimicrobial activities which directs that they can be utilized in medical field. This study aims to assess the antimicrobial properties of the nanocomposite, aiming to contribute to the development of effective antimicrobial agents. Through these objectives, the research seeks to bridge the gap between green technology and antimicrobial efficacy, offering a promising avenue for both environmental conservation and healthcare advancements.

Techno-economic analysis of biogas production from domestic organic wastes and locally sourced material: the moderating role of social media based-awareness.

Management of organic waste addresses the issue of cleanliness and sanitation in developing nations such as Pakistan, where improper waste management usually leads to significant health problems and early mortality. The control of organic waste in rural regions of Pakistan and other developing nations needs to be undertaken using effective solutions. This study contributes to satisfying local needs such as cooking, lighting, and maintaining a comfortable temperature in anaerobic locations and works as a guideline for converting to biogas. This research aims to ascertain households' most substantial challenges concerning biogas production using domestic organic waste and locally sourced materials. The analysis is conducted on data from 81 respondents gathered using a comprehensive questionnaire assessment. Respondents were carefully chosen with the purposive sampling process. Primary data were collected from a structured questionnaire and partial least squares structural equation modeling (PLS-SEM) to evaluate the formulated assumptions. The results indicate that managing organic waste positively influences the sustainable improvement of biogas using human organic waste and locally resourced materials. The selected variables and their moderating effect significantly and favorably influence this conceptual model. Furthermore, all manipulating influences are constructively connected with implementing biogas technology using organic waste and locally resourced material, minimizing household energy expenses, and satisfying local needs. This study concludes that the government's green energy policy and economic incentives encourage households to use biogas energy produced from organic waste and locally resourced material. The government should use modern technology, resident training, and expert methodological assistance to induce households into biogas production using domestic organic waste and locally resourced material. Finally, the study's limitations and suggestions for further research are also addressed.

Travelers' Subjective Well-Being as an Environmental Practice: Do Airport Buildings' Eco-Design, Brand Engagement, and Brand Experience Matter?

The physical environment of airports plays a crucial role in improving travelers' perceptions and well-being. Adopting a green physical environment may elicit customers' cognitive and emotional responses and provide a convenient consumption environment. Brand experience and engagement are other important consumer-firm interactions that influence the attributes of the passengers' well-being. The current study sought to assess the impact of the eco-design of buildings, brand experience and engagement on the well-being of travelers at an international airport in Saudi Arabia. Additionally, the current study investigated the possible effects of eco-design on airport experience and engagement. The results of the structural equation modeling analysis revealed that the eco-design of airport buildings was independently associated with passengers' well-being and brand engagement, but not with brand experience. Additionally, well-being was significantly predicted by brand engagement and experience. Airport managers are advised to adopt an internal eco-design to help promote passengers' connection with the brand and improve their well-being, which would eventually be reflected in their behavioral attributes and decision-making.

Multicriteria decision making and goal programming for determination of electric automobile aimed at sustainable green environment: a case study.

In this paper, we consider the problem of automobile selection for transportation in inner city using a hybrid multicriteria decision making approach. The electric automobiles that are a relatively new concept in the world of the automotive industry, are widely viewed as attractive among its alternatives day by day. Fuel-vehicles produce a lot of carbon emissions that are ejected into our natural atmosphere, leaving us vulnerable to things like pollution and greenhouse gases. So, electric vehicle and automobiles have emerged as a more efficient alternative and these vehicles have been a great step forward to help positively the environment with zero emissions and total energy consumption in their lifecycle. Many companies focus on electric vehicle production with the development of electric vehicle technology. Therefore, the selection process emerges among the various electric automobile technologies for the users. The selection process includes several conflicting factors which are such as economic, technical and technological factors. In the present study, we propose a hybrid approach for electric automobile selection that combines analytic hierarchy process (AHP), technique for order of preference by similarity to ideal solution (TOPSIS) and goal programming (GP) is used to determine the weights to assign to the factors that go into these selection decisions and TOPSIS method is used for preference ranking. These weights founded by AHP are inputted into a GP model to determine the best alternative among the electric automobiles. Finally, the study used three methods TOPSIS, AHP- TOPSIS and AHP-GP for better comparison and evaluation. The most suitable electric automobile is selected among their alternatives by using analytic methods and goal programming.

The dynamic relationship between green tax incentives and environmental protection.

The purpose of this study is to examine the impact of green tax incentives such as investment tax credit and taxable income deductions related to the environmental sustainability and climate change which are becoming more popular in developing countries, whereas introducing green tax incentives related to the environment and climate change helps and meets the sustainability objectives of growth and development. For this purpose, we selected the top 100 listed companies on the Swedish stock market (SSM), Nasdaq Stockholm (SN), in order to better understand the real facts and figures of green tax environment. This study uses a longitudinal research design because sample observations vary across firms and over a short time and conducts probit and logistic regression to identify the beneficiaries of the tax incentives. The findings show that different firm-level characteristics significantly impact the probability of being an ITC beneficiary.

Is Europe on the Way to Sustainable Development? Compatibility of Green Environment, Economic Growth, and Circular Economy Issues.

The challenges imposed by climate change and the limited nature of resources generate paradigm shifts at the level of economic, social, and environmental policies and strategies. Promoting the principles of sustainable development and the circular economy is a priority worldwide. Thus, the motivation of this research is to explore the European countries' path toward sustainable development by analysing the relationship between green environment, economic growth, and circular economy issues. In order to explore this relationship in the case of European countries, the analysis takes into consideration specific variables: final energy consumption, GDP, capital gross fixed capital formation, greenhouse gas emissions, SOx emissions, NOx emissions, and generation of municipal waste per capita. This study is focused on the period 2009-2020 for 31 European countries, with data being provided by Eurostat and World Bank databases. The panel data analysis was used in order to examine the relationship between a green environment, economic growth and a circular economy. The results of the study suggest that gross fixed capital formation and total greenhouse gas emissions lead to decreasing generation of municipal waste; instead, final energy consumption, GDP, SOx emissions and NOx emissions generate an increase in the generation of municipal waste. The novelty of our paper consists of associating green environment, economic growth, and circular economy in the case of European countries, the results allowing the proposal of economic policy measures to favor the green transition process considering the potential of the circular economy.

Fostering firm performance through the lens of environmental leadership and knowledge learning: a mediated moderation model.

In the current era of business, environmental sustainability has emerged as an issue of critical relevance. The main purpose of this study is to examine the relationship between environmental leadership and environmental learning and its impact on the organization's performance. This research contributes to the existing body of knowledge by identifying the primary characteristics that help companies enhance their performance. Using a convenience sample approach, data was obtained from 417 respondents working in the construction industry. For direct and indirect hypothesis testing, we used the Statistical Package for the Social Sciences (SPSS) and structural equation modelling (SEM). According to the study's findings, environmental leadership (EL) and environmental knowledge learning (EKL) significantly influence environmental passion (EP), green corporate social responsibility (CSR), and company performance. The link between EL, EKL, and firm performance (FP) is mediated by EP. The study's results indicate that green CSR significantly moderates the relationship between EP and firm performance. The study findings benefit business managers, policymakers, and government institutions.

Green tourism to green environment: unleashing green pro-tourism behavior for green tourism competitiveness in China.

The aim of the study is to study the role of green pro-tourism behavior in developing green tourism competitiveness for green environment. Green tourism is on the rise in China, but locals are not getting on board with supporting it. This research recommends green human resource management (HRM) practices as a way to boost the competitiveness of green tourism and inspire citizens to adopt travel-friendly habits. Human resource management strategies that emphasize training, open lines of communication, and employee autonomy may help the tourism industry foster a culture of environmental stewardship that permeates the surrounding community. According to this study's findings, sustainable tourism can be advanced through the promotion of green HRM practices, which encourage locals to take a more positive stance toward visitors and the destination as a whole. The environmental advantages of green HRM should also be well-researched. Therefore, the purpose of this research is to investigate the connection between green HRM, P-EP, environmental consciousness, and servant leadership in the context of the tourism industry. This research used Smart PLS for its structural equation modeling, validity testing, and reliability analysis of data acquired from Chinese hotel workers. Green HRM was shown to have a good effect on proactive P-EP but a smaller effect on P-EP linked to tasks. In addition, the link between green HRM and task-related activities requires careful consideration of servant leadership as a moderating element.

Exploring the dynamic effects of shocks in monetary and fiscal policies on the environment of developing economies: evidence from the CS-ARDL approach.

The literature review of ample body indicates that the majority of the studies rely on a single proxy, while exploring the determinants of environmental quality, that can produce misleading results. To subdue this exigency, the current study extends the literature by deploying three proxies (carbon dioxide, methane, and nitrous oxide emissions) for assessing the environmental quality. In this context, the current study links macroeconomic policies, economic growth, fossil fuel consumption, and renewable energy consumption with the environmental quality for selected developing countries from 1990 to 2017. The Westerlund cointegration test confirms the long-run association among the variables. The advanced econometric technique reveals the following findings. First, the expansionary monetary and fiscal policies degrade the environmental quality by escalating the ratio of carbon dioxide, methane and nitrous oxide. However, the contractionary fiscal and monetary policies serve as an effective measure to mitigate the detrimental effects of greenhouse gases. Third, gross domestic product and fossil fuels exhibit a positive association with pollution. Fourth, renewable energy enhances the atmospheric quality by disrupting carbon dioxide, methane, and nitrous oxide emissions. The Granger causality test is also employed to confirm the causal relationship between the variables. Based on the results, we claim that macroeconomic policies are highly sensitive to environmental quality; therefore, some important policies are suggested to attain sustainable and green development.

Green credit and high-quality sustainable development of banks.

The impact of green credit on banks has been widely verified. This paper systematically combs the internal mechanism of the impact of green credit on high-quality sustainable development of banks and studies the relationship between green credit and high-quality sustainable development of banks by using unbalanced panel data of Chinese listed banks from 2007 to 2019. The results show that green credit will significantly promote high-quality sustainable development of banks, which remains valid after controlling for relevant variables and robustness test. The further test results show that the impact of green credit on high-quality sustainable development of banks will be affected by green environment supervision and monetary policy. Green environment supervision and loose monetary policy promote the positive impact of green credit on high-quality sustainable development of banks. The heterogeneity test results show that the impact of green credit on high-quality sustainable development of banks is significantly different among banks with different business scope and different size, and the positive impact of green credit on high-quality sustainable development of small-scale banks and regional banks is more significant. This paper enriches the research of the impact of green credit on banks.

Lessons in a Green School Environment and in the Classroom: Effects on Students' Cognitive Functioning and Affect.

The positive impact of short-term exposure to nature during a green recess in a school day is documented in the literature. In this study we investigated cognitive, academic, and affective effects of a single contact with nature during a regular school lesson in the greenness, compared to an usual classroom lesson, on young students in second and third grades (N = 65). In a within-subjects design, for the cognitive effects we examined children's (a) selective and sustained attention and (b) math calculation performance in common school tasks. For affective effects we considered (c) their positive and negative mood and (d) the perception of environmental restorativeness. Findings revealed that after a single lesson taught in the green school garden, children had greater selective attention and math calculation performance in two tasks than after a similar lesson in the classroom environment. Moreover, children with higher self-reported emotional difficulties showed greater selective attention and reported a statistically significant increase in positive affect and a tendency to a significant decrease in negative affect after the lesson in the greenness than in the classroom. Students also perceived the green space as more restorative than the classroom environment. Results are discussed against theories on the benefits of exposure to natural environments, highlighting the theoretical and practical significance of the study.

Facile synthesis of novel molybdenum disulfide decorated banana peel porous carbon electrode for hydrogen evolution reaction.

Hydrogen is one of the cleanest renewable and environmentally friendly energy resource that can be generated through water splitting. However, hydrogen evolution occurs at high overpotential, and efficient hydrogen evolution catalysts are desired to replace state-of-the-art catalysts such as platinum. In the present work, a novel molybdenum disulfide decorated banana peel porous carbon (MoS2@BPPC) catalyst has been developed using banana peel carbon and molybdenum disulfide (MoS2) for hydrogen evolution reaction (HER). Banana peel porous carbon (BPPC) was initially synthesized from the banana peel (biowaste) by a simple carbonization method. Subsequently, 20 wt% of bare MoS2 was distributed on the pristine BPPC matrix using the dry-impregnation method. The resulting MoS2@BPPC composites were systematically investigated to determine the morphology and structure. Finally, using a three-electrode cell system, pristine BPPC, bare MoS2, and MoS2@BPPC composite were used as HER electrocatalysts. The developed MoS2@BPPC composite showed greater HER activity and possessed excellent stability in the acid solution, including an overpotential of 150 mV at a current density of -10 mA cm-2, and a Tafel slope of 51 mV dec-1. This Tafel study suggests that the HER takes place by Volmer-Heyrovsky mechanism with a rate-determining Heyrovsky step. The excellent electrochemical performance of MoS2@BPPC composite for HER can be ascribed to its unique porous nanoarchitecture. Further, due to the synergetic effect between MoS2 and porous carbon. The HER activity using the MoS2@BPPC electrode advises that the prepared catalyst may hold great promise for practical applications.

A nature-based health intervention at a military healthcare center: a randomized, controlled, cross-over study.

We describe a mixed qualitative and quantitative research study in a military facility regarding the role of nature in well-being. Study intervention included two 20-minute walks. One walk was in an intentionally designed woodland environment (Green Road) and the other was on a busy campus road in a medical treatment facility (Urban Road). Twelve volunteers from a military facility participated in both walks in a cross-over experimental design. The two walking sessions were randomly ordered and preceded by pre-walk instructions appropriate to each road's characteristics and incorporated focused attention and present moment orientation. A semi-structured post-walk interview, the primary outcome, was conducted after the conclusion of each walk. Qualitative data analyses consisted of sentiments and themes by using NVivo 12 software. The Green Road was unanimously rated as positive (100%). Responses to Urban Road were evenly distributed among positive (33.3%), negative (33.3%), and neutral/mixed (33.3%) sentiments. The Green Road yielded predominantly positive themes such as enjoyment of nature, relaxation, and feelings of privacy and safety. Urban Road produced significantly more negative themes such as concerns for safety, dislike of noise and other noxious experiences. Quantitative assessment of distress and mindfulness with Distress Thermometer (DT) and Mindful Attention Awareness Scale-state version (MAAS) demonstrated that a walk on the Green Road significantly decreased distress and increased mindfulness compared to a walk on the Urban Road. We also observed that pre-walk instructions could direct attention to both obvious and subtle elements of experience and enhance awareness. Results support the notion that an intentional nature-based environment may produce significantly more positive experiences and result in health-promoting benefits in a military health-care setting compared to an urban environment. Future studies with clinical populations could advance our understanding of the healing value of nature-based interventions. The impact of intentional green environments may be enhanced by well-designed instructions for both recreational and therapeutic use.

Analyzing the Impact of Green Roof Functions on the Citizens' Mental Health in Metropolitan Cities.

BACKGROUND: The fast-growing trend of urbanizations and the dwellers' stressful lifestyle in megacities has led to several drawbacks from the mental health perspective. Provided that there is a significant association between the green environment and mental health, we investigated different functions of a green roof from two perspectives of well-being and environment. METHODS: After investigating on different functions of the green roof and classifying them into two sections, a self questionnaire survey was conducted in May 2020 on 100 citizens of the Seoul metropolitan area after, South Korea visiting the green roof. They were asked to clarify their perception of the different functions of green roof gardens. The statistical analysis was performed to show the differences in perception and how each variable can contribute to such differences. RESULTS: The results illustrated a high satisfaction rate among the visitors of green roofs. The perception of the well-being functions was higher than those of environmental functions. However, age group can alter the perception significantly, as the senior citizens significantly perceived the well-being functions. In contrast, the awareness of the environmental functions was higher among the younger participants. CONCLUSION: Providing practical information about the ideal functions of green roofs, this study offered helpful insight for the planners who focus on society's general health and work in two different sections: developing the city landscape and mental health improvement.

Consumer Purchasing Behavior Toward Green Environment in the Healthcare Industry: Mediating Role of Entrepreneurial Innovation and Moderating Effect of Absorptive Capacity.

Entrepreneurial innovations lead to transformations in the existing business model, involving them integrating the new knowledge into the established entrepreneurial activities. The current study combines marketing strategies, entrepreneurial innovation, absorptive capacity, and consumer purchasing behavior in the health sector. This study investigates the impact of packaging and labeling strategies on entrepreneurial innovation and consumer purchasing behavior. Therefore, this study also investigates the mediating effect of entrepreneurial innovation between packaging and labeling strategies and consumer purchasing behavior. The study examines the moderating role of absorptive capacity between entrepreneurial innovation and consumer purchasing behavior. While using convenience sampling, this study used the consumer of medications as a sample from China. The research adopted a quantitative method to conduct the study analysis. A well-structured questionnaire with a 5-point Likert scale has used for the study analysis. The adopted questionnaires were utilized in data collection with 702 with a 70% response rate, and Smart PLS was used to analyze the data. The findings of this study indicate that packaging and labeling strategies significantly influence entrepreneurial innovation and consumer purchasing behavior. Entrepreneurial innovation significantly mediates the packaging and labeling strategies and consumer purchasing behavior. The moderating role of absorptive capacity significantly affects entrepreneurial innovation and consumer purchasing behavior. The implications of the investigated model with innovative marketing strategies give new insights for managerial, policymakers, and research perspectives.

Green Supply Chain Management With Sustainable Economic Growth by CS-ARDL Technique: Perspective to Blockchain Technology.

Logistics plays a major part in any country's or region's economic success. Logistics performance depends upon the trade between other countries and urbanization. Urbanization has major role in logistics performance. However, being a significant energy user, logistics has negative consequences. As the logistics performance increases, carbon emissions increase as well because of more transportation and urbanization. Logistics performance has positive effects related to trade openness which reduces carbon emissions. As a result, it is necessary to understand function of logistics from both economic and environmental standpoint. Logistics performance is affected by urbanization of any region. The dataset for this research is made up of 10 Asian nations with 550 observations from 2010 to 2018 and is based on the theoretical underpinnings of impact of population affluence and technology (IPAT) and stochastic impacts by regression on population affluence and technology (STIRPAT). After applying various tests like cointegration analysis, unit root test, cross-sectional dependence now long & short-term relation of variables is studied by Cross-sectionally augmented autoregressive distributed lag (CS-ARDL). As indicated by the discoveries, the logistic performance index (LPI) is basically effective on economic growth and carbon emissions, particularly when related to IPAT and STIRPAT. The findings are reviewed, and policy implications are offered, which say that current logistical infrastructure should be transformed to more environmentally friendly operations. Finally, the limits are acknowledged, as well as future research possibilities that should be pursued.