Environmental Performance Research Articles

Analysis of Factors Affecting Logistic Performance Among Registered Freight and Forwarding Firms in Nairobi County, Kenya

Purpose: The general objective of the study was to establish the environmental factors affecting logistics performance among registered freight forwarding firms in Nairobi County, Kenya. The specific objectives comprised of examining the effect of the internal environment, external environment and firm size on the logistic performance of registered freight forwarding firms in Nairobi County, Kenya. Methodology: This study used a descriptive research design. The study targeted 1676 managing director and senior departmental level managers drawn from the registered freight and forwarding firms. Data was collected using questionnaires. The collected data was entered into SPSS 28 analytical tool where it was coded and analysed. Both descriptive and inferential analysis was applied. Findings: The findings showed that firm size had a positive and significant moderating effect on the relationship between environmental factors and performance of registered freight and forwarding firms in Nairobi County, Kenya. The study concludes that there is a positive and statistically significant relationship between internal environment factors and logistic performance. The study shows that while the structural aspects are important, the cultural and leadership elements play a more pivotal role in enhancing logistic performance. The study further concludes that external environment factors have a positive and significant effect on logistic performance. The study notes that infrastructure, policy and technology are crucial, but the potential benefits of technology may not be fully realized or uniformly adopted across the firms. The study also concludes that firms of all sizes can potentially achieve high logistic performance by focusing on effective resource utilization, strategic market analysis, and continuous development efforts. Unique Contribution to Theory, Policy and Practice: The study recommends that the policymakers should focus on simplifying documentation and customs procedures to reduce delays and improve the overall efficiency of logistic operations. The government should invest and increase support in research and development. The study also recommends that firms should establish clear communication policies that foster teamwork and engagement since encouraging participatory engagement and keeping employees informed of shared goals can spur productivity. Logistical firms should also invest in resources including human resource and financial resources. The firm should recruit and retain adequate and competent personnel to meet organizational goals as well as mobilize financial resources effectively to support investments in technology and infrastructure.

Climate risk perception and corporate ESG performance: evidence from China

PurposeThis study examines the impact of climate risk perception on corporate environmental, social and governance (ESG) performance from a microfirm perspective.Design/methodology/approachUsing a sample of Chinese listed companies from 2009 to 2021, we constructed corporate climate risk perception indicators based on the Management Discussion and Analysis (MD&A) in the annual reports of the companies, and analyzed it using ordinary least squares regression.FindingsThe results show that climate risk perception improves corporate ESG performance by encouraging green innovation. Heterogeneity analysis suggests that the greater the magnitude of climate risk shocks to the firms, the stronger the risk coping ability and the weaker the environmental regulation, the more pronounced the improvement of climate risk perception on corporate ESG performance. Furthermore, economic consequence analysis shows that the enhancement effect of climate risk perception on corporate ESG performance contributes to increasing corporate value.Originality/valueThis study emphasizes the significance of corporate climate risk perception in enhancing ESG performance. It provides a theoretical basis for enterprises to respond to climate risk and sustainable development.

An expert system based decision-making framework for benchmarking industry in sustainable manufacturing

PurposeThe purpose of this study is to evaluate and enhance sustainable manufacturing practices across various industries, focusing on environmental, economic and social dimensions, to promote a comprehensive understanding and implementation of sustainability, thereby improving overall industry performance and fostering long-term ecological and economic health.Design/methodology/approachThe study uses multi-criteria decision-making-multivariate analysis technique to examine sustainable manufacturing practices (SMPs) in the Indian manufacturing sector. It identifies 11 SMP criteria through literature review and expert recommendations. Data are collected through questionnaires, expert committees and interviews. The study focuses on four key industries: automobile, steel, textile and plastic. Techniques like principal component analysis (PCA), technique for order preference by similarity to ideal solution (TOPSIS) and complex proportional assessment (COPRAS) are used to rank and assess performance.FindingsThe Indian automobile industry has shown the most effective SMPs compared to steel, textile and plastic sectors. The automobile sector is the benchmark for sustainable measures, emphasizing the importance of green practices for environmental, social and economic performance. Recommendations extend beyond the automobile sector to cement, electronics and construction.Practical implicationsThe research emphasizes the importance of SMPs across various industries, focusing on economic, environmental and social considerations. It advocates for a holistic approach that enhances resource efficiency and minimizes ecological footprint.Originality/valueThe study uses ranking methods like PCA-integrated TOPSIS and COPRAS to evaluate performance in different industries, focusing on the benchmarked automobile sector. The research offers valuable insights and advocates for the widespread adoption of sustainable policies beyond the studied sectors.

Empirical study of robotic systems implementation to corporate performance in manufacturing sector

PurposeThis study aims to investigate the impact of implementing various robotic systems in logistics and supply chain management on corporate performance in Jordanian manufacturing companies, focusing on environmental, operational, economic, and social dimensions.Design/methodology/approachUsing a quantitative approach, data was collected through a survey questionnaire to measure the relationship between robotic systems and several performance dimensions. Various established constructs were employed, and the structural relationships were analyzed using partial least squares structural equation modeling (PLS-SEM) to assess the complex interdependencies within the model.FindingsThe results of this study indicate that the adoption of robotic systems has a positive influence on the environmental, operational, economic, and social performance of Jordanian manufacturing companies. In contrast to prior research that revealed inconsistencies in the social dimension, our findings align with previous studies highlighting the benefits of robotics in logistics and supply chain management. However, it’s worth noting that this study did not uncover similar inconsistencies, particularly in terms of the impact on social performance.Practical implicationsThe study provides valuable insights for manufacturing companies considering the implementation of robotic systems, highlighting the need to evaluate the environmental, operational, social, and economic consequences. This understanding can help organizations make informed decisions to leverage the benefits of robotics for sustainable growth.Originality/valueThis study contributes to the growing literature on robotics in logistics and supply chain management, specifically focusing on the unique context of Jordanian manufacturing companies. By examining the multifaceted impact of robotic systems, this study extends the understanding of the role of technology in enhancing corporate performance.

A new look at the finance–environment nexus: How yield spread affects environmental quality in the United States

AbstractEnhancing environmental quality is currently a key focus for policymakers. Furthermore, researchers are also prioritizing the investigation of novel variables that can influence environmental quality. The yield spread is commonly used as a leading indicator for business cycles in the macro‐finance literature, providing information about future expectations regarding business cycles. The yield spread also presents information about the borrowing costs of firms. None of the existing studies in the environmental economics literature has tested the impact of the yield spread on environmental quality, implying the level of the yield spread has not been considered a variable that can influence environmental quality. This study aims to fill this gap by providing evidence on the effect of yield spread (between 2‐ and 10‐year government bonds) on environmental quality in the United States from June 1976 to September 2023. The results indicate that an increase in the yield spread leads to a rise in environmental destruction. These results suggest two considerable consequences. First, optimistic expectations today lead to the overuse of resources and environmental destruction. Second, firms' higher borrowing costs may be forcing them to use less environmentally friendly production methods to offset more expensive financing costs and increase their profits. This study asserts that companies should enhance their environmental sensitivity, and policymakers should adopt a more proactive stance, based on the results of this study and other research that demonstrates the detrimental impacts of environmental regulation violations and poor environmental performances on companies' stock prices and financial performances.

Evaluation of a Kirigami-inspired double-skin adaptive façade for natural ventilation and solar harvesting to enhance indoor environment and energy performance

A novel kirigami-inspired design concept for an environmentally responsive adaptive façade is presented and evaluated for the objectives of solar energy harvesting and adaptive ventilation through controllable surface orientation and opening. The concept is a double-skin façade where the outer skin includes a straight cut kirigami-inspired adaptive component. Controllable actuation of the kirigami-inspired section opens the outer skin for ventilation while also changing the orientation of the outer surface for solar tracking. The primary objective of this study is to evaluate the potential benefits for this concept integrated within a building façade for solar energy harvesting, air changes, and indoor temperature control. As such, a computational study is used to estimate the proposed facade concept's performance within various generalized building-environment scenarios. The methodology is detailed to computationally estimate the potential environmental performance of this concept with respect to solar harvesting with adhered solar panels, as well as air changes and HVAC cost for associated interior spaces. The example scenarios include various building components, from a single room to multiple building stories, and two geographic locations with significantly different environmental conditions, and both daily and yearly performance estimates are shown. The component is most effective when the outdoor temperature is near to the desired indoor temperature and wind speeds are mild, but can still reduce HVAC usage for more disparate temperatures. For example, in the scenarios shown the component can eliminate HVAC use for a 5°C difference between outdoor and indoor temperature and reduces HVAC usage for temperature differences up to 15°C. Moreover, the component has the potential to significantly increase net energy generation, with yearly performance estimated for the scenarios to be as much as 25% greater than that of a flat closed façade. However, the component cut parameters can have a significant impact on environmental performance, and thus require careful design consideration.

Interplay Between Servicizing and Remanufacturing: Economic and Environmental Implications

Problem definition: To investigate the interplay between servicizing and remanufacturing, two widely used strategies in the circular economy, and its impact on firms’ economic and environmental performance, we consider a profit-maximizing manufacturer who explores the possibility of jointly adopting the two strategies. Methodology and results: We develop optimization models that capture the main attributes for servicizing (pay-per-use, demand pooling) and remanufacturing (lower production costs, higher operating costs). We show that the presence of remanufacturing always makes servicizing less attractive to adopt, and having servicizing may discourage the adoption of remanufacturing if the remanufacturing cost reduction effect is not sufficiently large. The joint adoption of servicizing and remanufacturing is preferred when the remanufacturing cost is neither too high nor too low and the range of the remanufacturing cost that favors the joint adoption is further moderated by the firm’s pooling level and the operating cost of remanufactured products. Lastly, we find that when the firm adopts servicizing in the presence of remanufacturing with relatively high remanufacturing costs, it can reduce the number of remanufactured products with low environmental impact in the market and, thus, harm the environment, resulting in a misalignment between economic and environmental goals. Managerial implications: Our findings suggest that managers considering jointly adopting servicizing and remanufacturing must balance their competition on the low-usage end of the market with the potential complementarity due to remanufacturing cost reduction. Further, by showing the win-win conditions under which the joint adoption of servicizing and remanufacturing improves firms’ economic and environmental performance, we demonstrate that there are no one-size-fits-all circular economy strategies and call for caution when promoting these strategies across industries. Supplemental Material: The electronic companion is available at https://doi.org/10.1287/msom.2022.0379 .

The Interaction Effects of Board Independence and Digital Transformation on Environmental, Social, and Governance Performance: Complementary or Substitutive?

Both board independence (BI) and digital transformation (DT) play important roles in promoting Environmental, Social, and Governance (ESG) performance. However, few studies have focused on their interaction effects on ESG performance (ESGP). The study selected Chinese A-share listed companies from 2013 to 2023 as the research sample and used a moderating effect model to test the complementary or substitutive relationship between the two. The empirical results show that there is a substitutive effect, rather than a complementary one. Further analysis of the individual ESG pillars revealed that the substitutive effect of BI and DT is primarily reflected in corporate governance. Moreover, this substitutive effect is more pronounced in state-owned enterprises and non-manufacturing enterprises, and digital supervision mechanisms may have a stronger substitutive role than traditional independent director oversight mechanisms. These findings uncover the complex relationship between the two governance mechanisms and corporate ESGP, offering important insights for managers; companies need to strike a balance between “human governance” and “digital governance” to maximize ESGP.

Sustainability Starts at the Top: How Green Transformational Leadership Shapes Corporate Social Responsibility and Environmental Performance

Sustainability Starts at the Top: How Green Transformational Leadership Shapes Corporate Social Responsibility and Environmental Performance

Student engagement and speaking performance in AI-assisted learning environments: A mixed-methods study from Chinese middle schools

Student engagement and speaking performance in AI-assisted learning environments: A mixed-methods study from Chinese middle schools

Supression of Shielding Effect of Large Area Field Emitter cathode in Radio Frequency Gun environment

Abstract Using large area field emitters (LAFE) as cathodes for RF gun injectors offers significant potential for creating compact, high-power, and high-brightness electron beams, crucial for advanced accelerator technologies. However, when subjected to DC electric fields, LAFEs face significant challenges due to the shielding effect, which limits emission from central emitters and decreases overall current density. Overcoming the shielding effect in an RF gun environment is essential to meet the required beam quality in accelerators. The current distribution of LAFE under DC conditions is influenced by several geometric parameters, such as emitter height, inter-emitter distance, aspect ratio, and the number of emitters. Moreover, in an RF gun setup, LAFEs experience varying macroscopic electric fields at different emitter positions, altering the current distribution compared to DC fields. In this study, we have systematically examined the impact of various LAFE parameters on their field emission performance in an RF gun environment. We have adopted a semi-analytical approach to estimate the current distribution of LAFE, combining analytically calculated field enhancement factors (γ) with numerically calculated applied RF field values. After validating the method with COMSOL simulations, we have applied it to estimate the current distribution of an LAFE cathode integrated into a ½ cell S-band (2856 MHz) gun. The simulation results indicate that, under favorable conditions, a Gaussian spatial beam distribution can be achieved with LAFE, thus mitigating the shielding effect typical in DC fields. By optimizing various LAFE parameters, the desired current and beam distribution patterns can be attained. This study highlights a promising approach for designing LAFE cathodes for RF guns, which could advance accelerator-related technologies.

Anti-Rain Clutter Interference Method for Millimeter-Wave Radar Based on Convolutional Neural Network

Millimeter-wave radars are widely used in various environments due to their excellent detection capabilities. However, the detection performance in severe weather environments is still an important research challenge. In this paper, the propagation characteristics of millimeter-wave radar in a rainfall environment are thoroughly investigated, and the modeling of the millimeter-wave radar echo signal in a rainfall environment is completed. The effect of rainfall on radar detection performance is verified through experiments, and an anti-rain clutter interference method based on a convolutional neural network is proposed. The method combines image recognition and classification techniques to effectively distinguish target signals from rain clutter in radar echo signals based on feature differences. In addition, this paper compares the recognition results of the proposed method with VGGnet and Resnet. The experimental results show that the proposed convolutional neural network method significantly improves the target detection capability of the radar system in a rainfall environment, verifying the method’s effectiveness and accuracy. This study provides a new solution for the application of millimeter-wave radar in severe weather conditions.

Government green procurement and corporate ESG performance

This study utilizes data from China's A-share listed companies from 2009 to 2022 and manually collects government green procurement lists published on the Chinese government procurement website. By matching this data with listed companies, we employ a multi-period Difference-in-Differences (DID) model to examine the impact of a firm's inclusion in government green procurement lists on its Environmental, Social, and Governance (ESG) performance. We find that government green procurement significantly improves firms' ESG performance. In the mechanism analysis, we find that executive green perceptions and media and analyst attention amplify the positive impact of government green procurement on firms' ESG performance. Through the heterogeneity analysis, we find that government green procurement promotes ESG performance more significantly when the listed company is a state-owned enterprise, and this promotion is more obvious in central state-owned enterprises. In addition, we find that government green procurement enhances ESG performance more significantly when the company is located in a region with higher levels of market integration. Further research find that government green procurement effectively inhibit “greenwashing” behavior and reduce the probability of negative events. Our findings provide important micro-empirical evidence for understanding the effects of market-based policy instruments on corporate ESG performance and contribute positively to the practice of improving corporate governance capabilities.

Comparative LCA-MCDA of high-strength eco-pervious concrete by using recycled waste glass materials

Sustainable management of construction and demolition (C&D) waste and waste glass (WG) presents a significant challenge in densely populated regions like Hong Kong. While the potential for using WG in concrete is acknowledged, there is limited research on how to optimally use these materials to achieve sustainability, cost-effectiveness, and mechanical integrity. This study addresses these challenges by employing an integrated life cycle assessment and multi-criteria decision analysis (LCA-MCDA) within a cradle-to-gate scope, utilizing site-specific data. The VIKOR method, known for its robust decision-making capabilities in complex environmental assessments, was used to identify optimal concrete mixtures based on environmental, economic, and mechanical performance. The results indicate that replacing 25% of natural aggregate with recycled WG materials provides the best balance across the evaluated criteria. Furthermore, additional environmental benefits can be achieved by substituting natural aggregates with recycled waste concrete aggregates. This research underscores the importance of life cycle thinking in construction materials decision-making, demonstrating that significant use of recycled WG reduces energy consumption and greenhouse gas emissions, offering a sustainable alternative to conventional concrete.

Relationship between indoor environmental quality and guests’ comfort and satisfaction at green hotels: A comprehensive review

Abstract Recent studies have focused on different aspects of green management, practices, and green consumption in the hotel industry. However, there is a need to explore and better understand the association between indoor environmental quality (IEQ) and green hotel guest’s comfort. Therefore, it is essential to explore the effects of IEQ on the comfort and satisfaction of green hotel guests. This study conducts a comprehensive review of the effects of various IEQ parameters, including indoor air quality, thermal comfort, lighting, visual/view, acoustic comfort, building characteristics, decoration, and indoor greenery, on guest’s comfort and satisfaction in green hotels. Based on previous literature, it was also revealed that most current green building schemes lack of comprehensive evaluation of the performance of IEQ dimensions in green hotels. It was also observed that these IEQ parameters show a significant influence on the hotel guest’s comfort and satisfaction. Based on the findings of the literature review, a conceptual model was developed to represent the relationship between the IEQ parameters and guest’s comfort and satisfaction. The proposed conceptual model can be implemented by the hotel management for a comprehensive assessment of guests’ perceptions toward the IEQ in green hotels. The novelty of this study is based on its findings that establish a more effective IEQ evaluation method and serve as the reference scenario of IEQ, which can be a useful tool for both academician and practitioners and contribute to improving the indoor environmental performance of green hotels through highlighting the key IEQ parameters, which affect the comfort and satisfaction of hotel guests.

Concentrated bank market and SMEs’ collateral issues: a study of the firms of developing Asian countries

Collateral is a significant challenge for small and medium enterprises (SMEs) in acquiring formal credit. Bank market concentration can cause to increase collateral demand through enhancing bank market power. This study explores the relationship between bank market concentration and the collateral challenges faced by SMEs in accessing bank credit by employing a probit regression model. The analysis utilizes a sample of over 25,000 firms from 19 developing Asian nations. The datasets combine firm-level data sourced from the Business Environment and Enterprise Performance Survey (BEEPS) with country-level financial data obtained from the Global Financial Development Data (GFDD) which are provided by the World Bank. The results reveal a significant positive correlation between bank market concentration and the collateral challenges encountered by SMEs in developing Asian countries. In markets characterized by high levels of banking concentration, financial institutions tend to exhibit risk-averse behavior, manifesting in an increased propensity to demand collateral for both SME and large enterprise loans. Consequently, this heightened bank concentration exerts additional pressure on SMEs in acquiring bank credit. To foster an environment conducive to SME financing, countries with high levels of banking concentration should enact regulatory measures aimed at managing and constraining market concentration levels.

Mechanical, microstructural, and environmental performance of industrial byproducts in peat reinforcement

Peat is widely regarded as one of the most challenging soil types due to its unfavorable engineering characteristics. Traditional methods for addressing peat-related challenges often involve costly and unsustainable approaches such as soil replacement or chemical treatment with cement. This study aims to introduce novel insights into a sustainable solution for peat stabilization by utilizing industrial waste, thereby promoting sustainable development. Palm oil fuel ash (POFA) is a prevalent industrial byproduct generated in Southeast Asian countries, presenting significant disposal challenges. This research evaluates the performance of POFA as a green binder for peat stabilization through a series of mechanical, microstructural, and environmental tests. The findings demonstrate that POFA serves as an environmentally sound and effective binder, substantially improving the engineering properties of peat while also immobilizing toxic elements within the stabilized peat matrix. Consequently, this environmentally friendly and sustainable approach enhances the poor engineering properties of peat.

Defining Greenwashing: A Concept Analysis

The lack of a shared, operant definition for greenwashing has led to fragmented scholarly research, unclear guidelines for practice, inconsistent enforcement, and reactive policy frameworks; resulting in ineffective efforts to combat its growth. Using concept analysis, this research establishes a composite definition for greenwashing by identifying the constitutive attributes sourced across 79 scholarly definitions. The analysis finds six requirements necessary for identifying greenwashing: a claim on environmental performance by a private sector organization marketing a product or a service, which cannot be substantiated, made with deceptive intent, and done to establish a competitive advantage. Fulfilling these criteria warrants an accusation of greenwashing. With the aim to prevent its further spread and misuse, the article provides a diagnostic tool for separating similar but often conflated concepts from greenwashing to organize scholarly research, provide guidelines for practitioners, and support regulators’ case analysis.

Corporate sustainability reporting and financial performance of likelihood distress companies in Nigeria

This study explored the interplay between corporate sustainability reporting and the financial performance of likelihood distressed listed companies in Nigeria. This study employed an ex-post facto research design spanning a longitudinal period of five years (2018–2022). The sample size comprises one hundred and nineteen firms listed on the Nigerian Exchange Group (NGX), formally known as the Nigeria Stock Exchange (NSE). The study data were analysed using the random effect panel regression technique based on the outcome of the Hausman selection test. The study’s result indicated that both corporate social responsibility and economic performance exhibited a significant and positive relationship with the performance of the likelihood distressed companies implying an increase in corporate financial performance based on data extracted from the audited annual reports of the sampled firm. Surprisingly, environmental performance reporting demonstrated a negative and non-significant relationship with financial performance. Corporate governance practice displayed a positive but non-significant relationship with financial performance. Therefore, this study recommends that the management of the sampled companies should improve social responsibility and economic disclosures as they positively affect corporate financial performance. It is also recommended that companies disclose only material information especially concerning environmental sustainability performance to improve corporate financial performance.

Quantitative Assessment of Green Inventory Management in Supply Chains: Simulation-Based Study of Economic and Environmental Outcomes Aligned with ISO 14083 Standard

This research employs numerical simulations and scenario analysis to assess a supply chain model’s economic and environmental performance operating under stochastic market demand, with inventory levels managed by a periodic review (R, s, S) inventory system. The inventory model in this research is designed to determine the minimal inventory levels required to achieve predefined fill rates across various operational constraints. The supply chain’s inventory model simulates optimal responses to normally distributed market demand within 365-day periods characterized by mean and two levels of demand variability through two fill rate levels, two workweek schedules, 15 review periods, and 16 lead times. By conducting an extensive analysis of the 192000 simulation experiments of the supply chain under periodic review (R, s, S) inventory system, complex influences between system variables and economic outcomes of supply chain operation measured by ordering, transportation, holding, penalty, and total costs along with greenhouse gas emissions arising from inventory-related transportation according to the ISO 14083 standard are analyzed. The insights from this research have significant practical implications, providing valuable guidance for supply chain managers, researchers, and freight companies offering guidance for improving economic and environmental performance.