The issue of management’s relations to the environment has received a significant amount of attention in the literature on corporate social responsibility. Yet the influence of religion on managers’ environmental decisions has until now remained unexamined despite its known importance. In this article, we examine the empirical association between religion—primarily Christianity—and the environmental practices a firm’s management undertakes by investigating their OLS, principal component, simultaneous, and endogenous effects. Employing a large and extensive U.S. sample, we find a negative association between (...) the environmental practices initiated by a firm’s managers and the religiosity of the surrounding community, after controlling for various firm and demographic characteristics. In addition, after mitigating endogeneity with the dynamic system generalized method of moment, we still find an inverse association between religiosity and environmental-friendly decisions of management. We interpret these results as providing some support for the “dominion hypothesis” that claims Christian beliefs discourage environmental concern, but not for the “stewardship hypothesis” that implies that Christianity encourages people to “exercise a responsible stewardship over nature.” Nevertheless, additional analysis shows Christian groups differ significantly in how each influences managers’ environmental decisions. (shrink)

In this study, we examine the relation between corporate environmental responsibility and risk in U.S. public firms. We develop and test the risk-reduction, resource-constraint, and cross-industry variation hypotheses. Using an extensive U.S. sample during the 1991–2012 period, we find that for U.S. industries as a whole, CER engagement inversely affects firm risk after controlling for various firm characteristics. The result remains robust when we use firm fixed effect or an alternative measure of CER using principal component analysis or downside risk (...) measures. To address the concern of endogeneity bias, we use a system equations approach and dynamic system generalized methods of moment regressions, and continue to find that environmentally responsible firms experience lower risk. These findings support the risk-reduction hypothesis, but not the resource-constraint hypothesis, along with the notion that the top management in U.S. firms is generally risk averse and that their CER engagement facilitates their risk management efforts. Our cross-industry analysis further reveals that the inverse CER-risk association mainly comes from the manufacturing sector, whereas in the service sector, CER tends to increase firm risk. (shrink)

The World Bank recently noted: “Social license to operate has traditionally referred to the conduct of firms with regard to the impact on local communities and the environment, but the definition has expanded in recent years to include issues related to worker and human rights”. In this paper, we examine a factor that can influence the kind of work conditions that can facilitate or obstruct a firm’s attempts to achieve the social license to operate. Specifically, we examine the empirical association (...) between a company’s employee practices and the religiosity of its local community by investigating their fixed and endogenous effects. Using a large and extensive U.S. sample, we find a positive association between the “employee friendly” practices of a firm and the religiosity of the local community after controlling for several firm characteristics. In addition, after mitigating endogeneity with the dynamic panel system generalized method of moment and after employing several other econometric tests, we still find a robust positive association between the religiosity of the local community and employee-friendly practices. Since recent research has shown that the firm’s treatment of its stakeholders is a key to achieving an SLO, and since employees constitute a highly significant stakeholder group, we interpret our results as supporting the view that religion is an important influence on the kinds of employee practices that can increase the likelihood that a firm will acquire the SLO. (shrink)

In this study, we examine the empirical association between corporate social responsibility and information asymmetry by investigating their simultaneous and endogenous effects. Employing an extensive U.S. sample, we find an inverse association between CSR engagement and the proxies of information asymmetry after controlling for various firm characteristics. The results hold using 2SLS considering the reverse side of information asymmetry influencing CSR activities. The results also hold after mitigating endogeneity based on the dynamic panel system generalized method of moment. Furthermore, the (...) CSR–information asymmetry relation is amplified in high-risk firms due to managers’ efforts to build a good reputation. Last, we find that CSR engagement is inversely associated with reputational risk measure and lower predicted value of reputational risk is positively associated with lower information asymmetry measures. We interpret these results as supporting the stakeholder theory-based, reputation-building explanation that considers CSR engagement as a vehicle to build and maintain firm reputation thereby enhancing the information environment. (shrink)

Children's utterances from late infancy to 3 years of age were examined to infer their conception of knowledge. In Study 1, the utterances of two English-speaking children were analysed and in Study 2, the utterances of a Mandarin-speaking child were analysed – in both studies, for their use of the verb know. Both studies confirmed that know and not know were used to affirm, query or deny knowledge, especially concerning an ongoing topic of conversation. References to a third party were (...) rare. By implication, 2-year-olds have a conception of knowledge that underpins their exchange of information in conversation. Implications for the child's developing theory of mind are discussed. (shrink)

In this paper, we focus on a class of singular fractional differential equation, which arises from many complex processes such as the phenomenon and diffusion interaction of the ecological-economic-social complex system. By means of the iterative technique, the uniqueness and nonexistence results of positive solutions are established under the condition concerning the spectral radius of the relevant linear operator. In addition, the iterative scheme that converges to the unique solution is constructed without request of any monotonicity, and the convergence analysis (...) and error estimate of unique solution are obtained. The numerical example and simulation are also given to demonstrate the application of the main results and the effectiveness of iterative process. (shrink)

Despite a large and multifaceted effort to understand the vast landscape of phenotypic data, their current form inhibits productive data analysis. The lack of a community-wide, consensus-based, human- and machine-interpretable language for describing phenotypes and their genomic and environmental contexts is perhaps the most pressing scientific bottleneck to integration across many key fields in biology, including genomics, systems biology, development, medicine, evolution, ecology, and systematics. Here we survey the current phenomics landscape, including data resources and handling, and the progress that (...) has been made to accurately capture relevant data descriptions for phenotypes. We present an example of the kind of integration across domains that computable phenotypes would enable, and we call upon the broader biology community, publishers, and relevant funding agencies to support efforts to surmount today's data barriers and facilitate analytical reproducibility. (shrink)

A beneficial effect of gesture on learning has been demonstrated in multiple domains, including mathematics, science, and foreign language vocabulary. However, because gesture is known to co-vary with other non-verbal behaviors, including eye gaze and prosody along with face, lip, and body movements, it is possible the beneficial effect of gesture is instead attributable to these other behaviors. We used a computer-generated animated pedagogical agent to control both verbal and non-verbal behavior. Children viewed lessons on mathematical equivalence in which an (...) avatar either gestured or did not gesture, while eye gaze, head position, and lip movements remained identical across gesture conditions. Children who observed the gesturing avatar learned more, and they solved problems more quickly. Moreover, those children who learned were more likely to transfer and generalize their knowledge. These findings provide converging evidence that gesture facilitates math learning, and they reveal the potential for using technology to study non-verbal behavior in controlled experiments. (shrink)

Previous studies have found Forsyth’s Ethical Position Questionnaire (EPQ) to vary between countries, but none has made a systematic evaluation of its psychometric properties across consumers from many countries. Using confirmatory factor analysis and multi-group LISREL analysis, this paper explores the factor structure of the EPQ and the measurement equivalence in five societies: Austria, Britain, Brunei, Hong Kong and USA. The results suggest that the modified scale, measuring idealism and relativism, was applicable in all five societies. Equivalence was found across (...) Britain, Brunei and USA, but the original scale cannot be used validly. (shrink)

Previous studies have found Forsyth’s Ethical Position Questionnaire (EPQ) to vary between countries, but none has made a systematic evaluation of its psychometric properties across consumers from many countries. Using confirmatory factor analysis and multi-group LISREL analysis, this paper explores the factor structure of the EPQ and the measurement equivalence in five societies: Austria, Britain, Brunei, Hong Kong and USA. The results suggest that the modified scale, measuring idealism and relativism, was applicable in all five societies. Equivalence was found across (...) Britain, Brunei and USA, but the original scale cannot be used validly. (shrink)

Fecal microbiota transplantation is reportedly the most effective therapy for relapsing Clostridium Difficile infection and a potential therapeutic option for many diseases. It also poses important ethical concerns. This study is an attempt to assess clinicians’ perception and attitudes towards ethical and social challenges raised by fecal microbiota transplantation. A questionnaire was developed which consisted of 20 items: four items covered general aspects, nine were about ethical aspects such as informed consent and privacy issues, four concerned social and regulatory issues, (...) and three were about an FMT bank. This was distributed to participants at the Second China gastroenterology and FMT conference in May 2015. Basic descriptive statistical analyses and simple comparative statistical tests were performed. Nearly three quarters of the 100 respondents were gastro-enterologist physicians. 89% of all respondents believed FMT is a promising treatment modality for some diseases and 88% of whom chose clinical efficacy as the primary reason for recommending FMT. High expectation from patients and pressure on clinicians was reported as the most frequent reasons for not recommending FMT. The clinicians who had less familiarity with FMT reported significantly more worry related to the dignity and psychological impact of FMT compared to those who have high familiarity with FMT.More than half of the respondents were concerned about the commercialization of FMT, although almost one in five respondents did not see this as a problem. We found most respondents have positive attitudes towards FMT but low awareness of published evidence. Informed consent for vulnerable patients, privacy and protection of donors were perceived as the most challenging ethical aspects of FMT. This study identified areas of limited knowledge and ways of addressing ethical issues and indicates the need to devise the education and training for clinicians on FMT. (shrink)

Workforce diversity has received increasing amounts of attention from academics and practitioners alike. In this article, we examine the empirical association between a firm’s workforce diversity and the degree of religiosity of the firm’s management by investigating their unidirectional and endogenous effects. Employing a large and extensive U.S. sample of firms from the years 1991–2010, we find a positive association between a measure of the firm’s commitment to diversity and the religiosity of the firm’s management after controlling for various firm (...) characteristics. In addition, after controlling for endogeneity with the dynamic panel generalized method of moment, we still find a positive association between the firm’s diversity and management’s religiosity. We interpret these results as supportive of the religious motivation explanation that views the firm as a human community and considers religion as a factor that influences managers to more positively embrace diversity. Our results, however, provide no support for the resource-constraint hypothesis that views the firm as a nexus of contracts and sees managers as aiming to maximize shareholder returns under resource constraints that force them to invest only in projects that have a positive net present value and reject diversity initiatives since these do not have a positive NPV. (shrink)

To overcome the weakness of generic neural networks ensemble for prediction intervals construction, a novel Map-Reduce framework-based distributed NN ensemble consisting of several local Gaussian granular NN is proposed in this study. Each local network is weighted according to its contribution to the ensemble model. The weighted coefficient is estimated by evaluating the performance of the constructed PIs from each local network. A new evaluation principle is reported with the consideration of the predicting indices. To estimate the modelling uncertainty and (...) the data noise simultaneously, the Gaussian granular is introduced to the numeric NNs. The constructed PIs can then be calculated by the variance of output distribution of each local NN, i.e., the summation of the model uncertainty variance and the data noise variance. To verify the effectiveness of the proposed model, a series of prediction experiments, including two classical time series with additive noise and two industrial time series, are carried out here. The results indicate that the proposed distributed GGNNs ensemble exhibits a good performance for PIs construction. (shrink)

This paper sheds light on the incongruent findings concerning the relationship between family involvement and firms’ corporate social responsibility. While prior studies have mainly taken the perspective of families’ socioemotional wealth preservation, we approach this relationship from the perspective of behavioral agency theory, highlighting the important role played by CEOs’ family memberships. Specifically, we posit that family firms are more likely to invest in CSR when their CEOs are members of the controlling families. Furthermore, we examine how family firms can (...) employ long-term incentives to encourage non-family CEOs to act in the interests of the controlling families to preserve SEW and thus enhancing family firms’ CSR performance. We tested our hypotheses using hand-collected data of family firms included in the S&P 500 index, in the period of 2003–2010. The empirical findings support our hypotheses that family firms with family members as the CEOs have better CSR performance and family firms tend to provide a high level of long-term incentives to non-family than family CEOs. In addition, long-term incentives strongly motivate CEOs to improve firms’ CSR performance, regardless of their family memberships. (shrink)

ABSTRACT:We examine whether religion influences company decisions related to corporate community involvement. Employing a large US sample, we show that the CCI initiatives of a company are positively associated with the level of Christian religiosity present in the region within which that company’s headquarters is located. This association persists even after we control for a wide range of firm characteristics and after we subject our results to several econometric tests. These results support our religious morality hypothesis which holds that companies (...) headquartered in regions with higher levels of Christian religiosity will engage in more CCI initiatives. We also find that while Catholic and mainline Protestant religiosity have a positive influence on firms’ CCI initiatives, evangelical Protestant religiosity does not. This supports our differentiated responses hypothesis which holds that institutional differences among religious groups will produce different effects on companies’ CCI. This hypothesis is based on institutional theory. (shrink)

Understanding the neural basis of schizophrenia (SZ) is important for shedding light on the neurobiological mechanisms underlying this mental disorder. Structural and functional alterations in the anterior cingulate cortex (ACC), dorsolateral prefrontal cortex (DLPFC), hippocampus, and medial prefrontal cortex (MPFC) have been implicated in the neurobiology of SZ. However, the effective connectivity among them in SZ remains unclear. The current study investigated how neuronal pathways involving these regions were affected in first-episode SZ using functional magnetic resonance imaging (fMRI). Forty-nine patients (...) with a first-episode of psychosis and diagnosis of SZ—according to the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Text Revision—were studied. Fifty healthy controls (HCs) were included for comparison. All subjects underwent resting state fMRI. We used spectral dynamic causal modeling (DCM) to estimate directed connections among the bilateral ACC, DLPFC, hippocampus, and MPFC. We characterized the differences using Bayesian parameter averaging (BPA) in addition to classical inference (t-test). In addition to common effective connectivity in these two groups, HCs displayed widespread significant connections predominantly involved in ACC not detected in SZ patients, but SZ showed few connections. Based on BPA results, SZ patients exhibited anterior cingulate cortico-prefrontal-hippocampal hyperconnectivity, as well as ACC-related and hippocampal-dorsolateral prefrontal-medial prefrontal hypoconnectivity. In summary, spectral DCM revealed the pattern of effective connectivity involving ACC in patients with first-episode SZ. This study provides a potential link between SZ and dysfunction of ACC, creating an ideal situation to associate mechanisms behind SZ with aberrant connectivity among these cognition and emotion-related regions. (shrink)

Brand names are endowed with personalities that appeal to consumers, and such personalities are often adjusted in translation. This research aims to explore the transference of brand personality dimensions in the Chinese-English translation of men’s clothing brands, which embody consumers’ values and self-perceptions as well as social cultural meanings, in the hope of revealing male consumers’ psychological characteristics and providing a reference for translators. This investigation studies the brand personality frameworks for English and Chinese consumers, analyzes a corpus of 477 (...) Chinese-English men’s clothing brands, summarizes the major personality dimensions for men’s clothing brands, and explores how they are transferred in translation. As brand personalities reflect target consumers’ psychology to a certain extent, exploring the transference of brand personality dimensions in the Chinese-English translation of men’s clothing brands can reveal the differences between Chinese and English male consumers’ values and mentality, which can serve as a reference for translators and international businesses. (shrink)

At present, the burning problem of low power burners widely used in emergency and stove heating on the plateau has gradually attracted people’s attention. The fuel injection pressure, inlet air flow, air distribution regulation coefficient, and environmental pressure were considered respectively, and then the four factors and six levels of a uniform experimental investigation were conducted in a low-pressure chamber with adjustable atmospheric pressure. The flame morphology, flame temperature, and NO emission were investigated, and their correlation with each independent variable (...) was analyzed. In addition, burning of droplet swarm was obtained with the simulate numerical calculation by the ANSYS FLUENT. The results showed that the low-pressure environment had a negative correlation with the maximum width and position of flame, the characteristics of flame uplifted and NO emission. Air volume determines the length of the flame, and atmospheric pressure and fuel injection pressure determine the maximum width of the flame. The shape of the horizontal jet flame in plateau environment is more dependent on the regulation of air volume. In order to reduce NO emission in plateau environment, it may be necessary to maintain a large air supply volume and reduce fuel injection pressure appropriately. At the microscopic level of droplet combustion, change mechanisms of macro flame shape in different sub-atmosphere were analyzed. The mechanism of flame morphological change in the plateau environment is the increase in droplet burning time and path. The adjustment of flame under sub-atmospheric pressure through the change of operating parameters is essential to improve the burning rate of droplets. (shrink)

Whereas a large body of research has focused on the development of children as learners, relatively little research has focused on the development of children as teachers. Moreover, even less research has focused on the potential cognitive mechanisms associated with high-quality teaching. Here, we review evidence that children’s selective teaching is associated with at least three cognitive skills: the ability to represent mental states, the ability to infer mental states in real-time, as well as executive function skills. We note potential (...) cultural differences in children’s teaching and highlight the need for future research. (shrink)

Quantitative characterization of pore structure in shale can provide basic parameters for evaluation of the shale-gas reservoir quality. However, it is difficult to use conventional methods to accurately and comprehensively characterize the pore structure parameters. We take shale samples from the Longmaxi Formation in the Sichuan Basin as the study object, and we use the high-pressure mercury intrusion, nitrogen adsorption, and carbon dioxide adsorption methods to characterize the whole aperture distribution. We found that the pore size in shale is positively (...) related to the transverse relaxation time and there exists a conversion coefficient. We have developed a new method combining nuclear magnetic resonance with hybrid detection methods for testing the pore size distribution, and we optimized the conversion coefficient between pore size obtained by a hybrid detection method and the [Formula: see text] value. NMR can then characterize the pore size distribution by conversion coefficient. This method can effectively make up for the deficiency of conventional methods for pore size distribution characterization by a single method. Our results indicate that the macropore, mesopore, and micropore in shale are very developed, and the pore shapes are ink bottle and slit-like. Shale pores mainly consist of mesopore and micropore, contributing to approximately 74.33% of pore volume, whereas micropore contributes approximately 70.18% of specific surface area. Therefore, the macropore has a limited effect on the pore volume and SSA. In addition, the establishment of whole aperture distribution characterization by the new method can more comprehensively reflect the actual pore distribution in shale. (shrink)

Interpretation of geologic structures entails ambiguity and uncertainties. It usually requires interpreter judgment and is time consuming. Deep exploitation of resources challenges the accuracy and efficiency of geologic structure interpretation. The application of machine-learning algorithms to seismic interpretation can effectively solve these problems. We analyzed the theory and applicability of five machine-learning algorithms. Seismic forward modeling is a key connection between the model and seismic response, and it can obtain seismic data of known geologic structures. Based on the modeling data, (...) we first optimized the seismic attributes sensitive to the target geologic structure and then we verified the accuracy of the five machine-learning algorithms by the cross-checking method. In this case, the random forest algorithm had the highest accuracy. So we examined the structural interpretation method based on a random forest using the 3D seismic reflection data from coalfield exploration. The prediction effect of this interpretation workflow is verified by comparison with known geologic structures on the plane and profile. The results suggest that the random forest algorithm is feasible to indicate geologic structure interpretations in the case of collapsed column and fault structures and it can effectively improve the efficiency of seismic interpretation and its accuracy. The machine-learning-based workflow provides a new technique for seismic structure interpretation in coal mining. (shrink)