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The purpose of this paper is to test the relationship between environmental regulations and green total factor productivity (GTFP) of China's logistics industry. The high-factor input, high-energy consumption, and high-pollution emissions model of the logistics industry developed within China faces challenges from severe resource and environmental constraints. It is generally believed that environmental regulations effectively restrain pollution emissions and help protect the environment.

The authors employ the undesirable slack-based Malmquist Luenberger model to calculate the GTFP across the provincial logistics industry and use the mediation effect model and threshold effect model to explore the effects and mechanics of environmental transmission regulations on the GTFP.

The main results show significant regional differences in the GTFP of logistics industry across China. In the transmission path of the impact of environmental regulations on the GTFP, regional innovation capabilities have mediation effects. Regional innovation capacities have a masking effect on the transmission path of environmental regulations on accumulated technical efficiency changes (AEC) and accumulated technical changes (ATC). The threshold effect test results show a dual-threshold effect between environmental regulations and the GTFP, with environmental regulations as threshold variable. Furthermore, the impact of regional innovation capability on the GTFP has a dual-threshold effect, with environmental regulation as threshold variable.

First, it is advisable to plan the environmental regulation policy system thoroughly and add supporting measures to ensure the efficiency and smooth implementation of the nation's environmental policies. Second, it is important to further understand the critical role of innovation capability in improving the GTFP. Third, there is an urgent need to standardize the operating behavior and market order of the leading players in the logistics market and to improve the operational efficiency of logistics enterprises.

So far, a systematical study researched on effect of environmental regulation on the GTFP in logistics industry was not published. This study can provide experience for the high-quality development of the logistics industry.

Studies repeatedly have found social disparities of health at many levels of spatial aggregation. A second body of empirical research, demonstrating relationships between an area's racial and class composition and its environmental conditions, has led to the rise of an environmental justice movement. However, few studies have connected these two sets of findings to ask whether social disparities in health outcomes are due to local environmental disparities. This chapter investigates whether the association between racial and socioeconomic composition and multiple health conditions across New York City zip codes is partly mediated by neighborhood physical, built, and social environments.

The purpose of this paper is to create models that predict exergetic sustainability index (ESI) and environmental effect factor (EEF) values with high accuracy according to various engine parameters.

In this study, models were created to estimate ESI and EEF sustainability parameters in various flight phases for a business jet with a turboprop engine using the cuckoo search algorithm (CSA) method. The database used for modeling includes the various engine parameters (torque, engine airflow, gas generator speed, fuel mass flow, power and air-fuel ratio) obtained by running a business aircraft engine more than once at different settings and the actual ESI and EEF values obtained depending on these parameters. In addition, sensitivity analysis was performed to measure the effect of engine parameters on the models. Finally, the effect of the CSA number of nest (n) parameter on the model accuracy was investigated.

It has been observed that the models predict ESI and EEF values with high accuracy. As a result of the sensitivity analysis, it was seen that the air-fuel ratio had a greater effect on the output parameters.

These models are thought to assist in the exergetic environment analysis used to find the greatest losses for turboprop business jets and identify their causes and further improve system performance. Thus, they will be a useful tool to minimize the negative impact of business jet on environmental sustainability.

To the best of the authors’ knowledge, this study stands out in the literature because it is the first exergo-metaheuristic approach developed with CSA for business aircraft engine; moreover, the data set used consists of real values.

Sustainable tourism demands a positivistic and holistic look at the true costs and benefits of the industry to host communities. To aid leaders in starting the process, the article proposes a tourism options navigation model looking at varying number of visitors, their average daily spend and leakages, on the socio‐economic, cultural and environmental landscape of island communities. The article aims to identify various tourism options, their expected effects and potential strategies to mitigating negative outcomes and to later apply the model to the case of the rural parish of St Thomas, Jamaica.

To achieve the objectives outlined a comprehensive review of related literature was conducted. The researcher interviewed six of Jamaica's national tourism leaders and analyzed their responses.

It was posited that by employing strategies that impact the number of visitors to the area, their average daily spend and industry‐related economic import leakages, leaders can control the economic, social, cultural and environmental effects of tourism on communities but the process must begin with a clear articulation of the desired effects.

The model could be a useful decision‐making tool for leaders considering tourism as a developmental option or in analyzing the current state of their communities' tourism industry. It could also form the basis for a more objective look at tourism success by researchers.

The model is unique as it provides a single comprehensive look at the causes and effects of tourism and possible ways forward.

The purpose of this paper is to estimate the required number of robots consisting of some non-repairable components, by employing a renewal model. Considering the importance of the availability of standby autonomous robots for reducing and preventing down-times of advanced production systems, which imposes a considerable loss, the present research tries to introduce a practical model for the determination of the required number of autonomous robots.

Most of the available research on the estimation of the required standby components based on the reliability characteristics of components has not considered the environmental factors influencing the reliability characteristics. Therefore, such estimations are not accurate enough. In contrast, this paper focuses on the influence of the environmental and human factors (e.g. the operators’ skill) on the robot reliability characteristics.

A model based on the Weibull renewal process combined with the cold standby strategy is developed for reliability evaluation of the system. The effectiveness of the proposed integrated reliability evaluation model is worked out in some cases.

Determining a required number of robots is an important issue in availability and utilization of a complex robotic production system. In an advanced production system, while the estimation process of a required number of robots can be performed through different approaches, one of the realistic estimation methods is based on the system’s reliability that takes into consideration the system operating environment. To forecast the required number of robots for an existing production system, in some cases, the assumption of a constant failure rate does not differ much from the assumption of a non-constant failure rate and can be made with an acceptable error.

Drawing on the multiplicity of context approach, this study investigates whether female entrepreneurs are more likely than male entrepreneurs to create environmentally oriented organizations. This study aims to examine how context, measured by gender socialization stereotypes and post-materialism, differentially affects the kinds of organizations entrepreneurs choose to create.

To test the hypotheses, this study utilizes Global Entrepreneurship Monitor data from 2009 (n = 17,364) for nascent entrepreneurs, baby businesses owners and established business owners in 47 counties. This study also utilizes the World Values Surveys to measure gender ideologies and post-materialist cultural values at the country level. To test the hypotheses, a logistic multi-level model is estimated to identify the drivers of environmental venturing. Data are nested by countries, and this allows random intercepts by countries with a variance components covariance structure.

Findings indicate that female entrepreneurs are more likely to engage in ecological venturing. Societies with high levels of post-materialist national values are significantly more likely to affect female entrepreneurs to engage in environmental ventures when compared to male entrepreneurs. Moreover, traditional gender socialization stereotypes decrease the probability of engaging in environmental entrepreneurship. Likewise, female entrepreneurs in societies with strong stereotypes regarding gender socialization will more likely engage in environmental entrepreneurship than male entrepreneurs.

The present study uses a gender analysis approach to investigate empirical differences in environmental entrepreneurial activity based on biological sex. However, this research assumes that gender is the driver behind variations in ecopreneurship emphasis between the engagement of males and females in venturing activity. The findings suggest that female entrepreneurs pursuing ecological ventures are more strongly influenced by contextual factors, when compared to male entrepreneurs. Future research can build upon these findings by applying a more nuanced view of gender via constructivist approaches.

This study is one of the few to investigate ecologically oriented ventures with large-scale empirical data by utilizing a 47-country data set. As a result, it begins to open the black box of environmental entrepreneurship by investigating the role of gender, seeking to understand if men and women entrepreneurs equally engage in environmental venturing. And it responds to calls that request more research at the intersection of gender and context in terms of environmental entrepreneurship.

This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies.

This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context.

This conceptual paper's environmental effect model reveals that women operating at an executive level are required in male-normed organizations to adapt their leadership behavior continually between male and female traits, both to break through the glass ceiling to secure their leadership position and to keep it without falling off a glass cliff. Gender-based self-constraint and self-monitoring is a behavioral habit that can be difficult to shift in all but the most positively supportive and openly diverse work environments. Only here can executive women be their authentic selves without fearing negative career repurcussions.

The briefing saves busy executives and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.

This paper aims to present a model describing how women enact executive leadership, taking into account gendered organizational patterns that may constrain women to perform leadership in context-specific ways.

This paper discusses gendered organizations, role congruity theory and organizational culture and work context. These strands of theory are interwoven to construct a model describing ways in which executive-level women are constrained to self-monitor based on context.

The pressure on women to conform to an organization’s executive leadership culture is enormous. Executive women in strongly male-normed executive leadership contexts must exercise strong gendered self-constraint to break through the glass ceiling. Women in strongly male-normed contexts using lessened gendered self-constraint may encounter a glass cliff. Women in gender-diverse-normed contexts may still operate using strong gendered self-constraint due to internalized gender scripts. Only in gender-diverse-normed contexts with lessened gendered-self-restraint can executive women operate from their authentic selves.

Organizational leaders should examine their leadership culture to determine levels of pressure on women to act with gendered self-constraint and to work toward creating change. Women may use the model to make strategic choices regarding whether or how much to self-monitor based on their career aspirations and life goals.

Little has been written on male-normed and gender-diverse-normed contexts as a marker for how executive-level women perform leadership. This paper offers a model describing how different contexts constrain women to behave in specific, gendered ways.

This paper aims to analyze the effectiveness of aid in stimulating investment using different measures of aid and up-to-date panel time-series techniques. This study controls for endogeneity by using dynamic ordinary least squares (DOLS) and minimizes the risk of running a spurious long-run relationship by using series that are cointegrated. This paper finds evidence that aid promotes investment in countries with good institutional quality and gain interesting insights on the influence of country characteristics and the amount of aid received. Aid is ineffective in countries with unfavorable country characteristics such as a colonial past, being landlocked and with large distances to markets. Aid can boost investment in regions that receive high (above-median) amounts of aid such as Africa and the Middle East but not in regions that receive low amounts of aid. Investment-targeted aid is effective but non-investment-related aid can also enhance investment.

Regressions on the aid-investment nexus are based on either a rather simple (115 countries) or an extended/augmented investment model (91 countries). The data covers the period of 1973–2011 and 1985–2011 if the institutional quality is included. This study estimates the relationship between aid and investment by applying the DOLS/dynamic feasible generalized least squares technique which is based on a long-run relationship of the regression variables (cointegration). In this framework, this paper incorporates country-fixed effects, control for endogeneity, autocorrelation and take heteroscedasticity and cross-country correlation of the residuals into account.

This study finds empirical evidence that aid promotes investment in countries with good institutional quality and gain interesting insights on the role played by country characteristics and the amount of aid received. Aid is ineffective in countries with unfavorable country characteristics such as the colonial past, being landlocked, distant from markets. Aid can boost investment in regions that receive high (above-median) amounts of aid such as Africa and the Middle East. Investment-targeted aid is effective but non-investment-related aid also able to enhance investment.

The study looks at the investment to gross domestic product (GDP) ratio (including domestic investment and foreign direct investment (FDI)) and, hence does not disentangle these factors. It looks at the net effect (positive and negative impact together) and, therefore does not allow to identify the direct crowding out the impact of aid. Of course, if this paper finds that aid has a negative impact on investment, it is clear that aid must have crowded out either domestic investment or FDI or both.

The authors think that it is relevant to have identified the circumstances and settings in which foreign aid can be particularly effective and in which foreign aid needs accompanying measures that improve the effectiveness of aid. Also, it is relevant that the relative amount of aid received (aid-to-GDP ratio) must be quite high so that aid can increase investment.

This study sees that the least developed, low-income countries and (in terms of regions) the sub-Saharan Africa countries benefit from aid. This is very desirable. This paper further sees that higher relative amounts of aid do help more and that it is helpful to care about a better institutional quality in developing countries. Hence, this study provides some support for the desirability of aid.

The paper was done very diligently, and this study is very confident that the results are robust. This paper is also confident that this study has studied the long-run (which is of special importance) nexus between aid and investment. The estimation technique used is original, as it combines regular DOLS with corrections for autocorrelation and cross-section dependence.

The research seeks to extend the notions of utilitarian and hedonic value to account for outcomes of consumer service encounters.

The research question is examined using a sample of Korean restaurant consumers who used a structured questionnaire to evaluate their dining experience. Structural equations analysis is used to test various research hypotheses and examine the extent to which consumer service value mediates the effect of the environment on customer satisfaction and future intentions.

Key findings include the ability of the consumer service value scale to account for utilitarian and hedonic value, the role of functional and affective service environment components in shaping consumer satisfaction and future patronage intentions and the relative diagnosticity of positive affect.

There is a need to extend the results to a diverse range of cultures.

Restaurant managers should place increased emphasis on the physical environment as it clearly plays a role in creating positive consumer outcomes and building strong customer relationships.

The use of the consumer value scale (CSV) – particularly in a novel service context.