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The present study examines the antecedents of learned helplessness, i.e. intrinsic and environmental constraints and consequences, i.e. intention to travel and expectation in the context of people with disability (PwD) tourism context by applying the “Theory of Learned Helplessness”.

The survey method was used to gather data from 209 physically disabled people who had visited/traveled to any tourist destination in the past twelve months. Structural equation modeling technique was used to analyze data.

The findings reveal that intrinsic and environmental constraints positively influence learned helplessness. Consequently, learned helplessness negatively effects intention to travel and positively affects expectation of PWD tourist' toward a travel destination. Furthermore, learned helplessness contributed as a mediator between intrinsic constraints and intention to travel toward a tourist destination.

Even though the body of literature on associations studied pertaining the conceptual lens of learned helplessness is widely recognized, there is dearth of literature investigating the connections between travel constraints, learned helplessness, PwDs intention and their expectation in travel destination context.

This study aims to investigate the external effect of the economic growth target pressure of local governments on establishment-level SO₂ emissions.

Based on manually collected panel data of 74,058 China's industrial establishments and more than 330 thousand observations from CIED and ESR, the authors use a firm-fixed effect model, instrumental variables estimation and heterogeneity tests to identify the environmental externality of economic growth target pressure.

The establishments in cities that meet or slightly exceed the economic growth target experience greater negative externality measured by SO₂ emission intensity. This external effect is more pronounced in regions: with a strict and overweighted target setting; with stronger officials' promotion incentives; with a low degree of marketization; and in firms with great economic importance. The authors identify the underlying mechanisms of dependence on dirty industry and the relaxation of environmental enforcement. And the environmental protection constraints in 2007 mitigate the negative externality.

The paper sheds light on to what extent economic growth target pressure has a negative externality of pollution in China and how this pressure may conflict with environmental protection.

This paper complements prior research on the economic effects of economic growth targets, expands the knowledge on the determinants of establishment-level pollution emission from the perspective of target pressure and provides insight into the environmental externality that results from political factors.

In the context of rapid environmental changes under current school reform, the present paper attempts to locate an answer for a historical question related to the sources of organizational changes and for a prevailing question probing the relationships among external, internal and contextual factors affecting school organizational learning. Based on the information provided by 1,197 teaching staff from 67 Hong Kong government‐aided elementary and secondary schools, the present study confirms the proposition advanced by the “strategic choice school”, that it is leadership action which accounts for organizational adaptation. Moreover, through a series of path analyses, transformational leadership along with supportive culture and flexible structure are mainly accountable for organizational learning, while external and contextual conditions provide the additional incentives in dictating the extent of organizational learning that is taking place in schools.

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.

This paper aims to analyze the organizational capabilities involved in the adoption of environmental management tools in eight large French firms. The analysis also examines the antecedents that contributed to the emergence of those capabilities and the consequences of their involvement in terms of environmental management.

To analyze the organizational capabilities deployed when environmental management tools are adopted, this paper takes an exploratory approach based on a qualitative study of eight large French firms.

The findings show how organizational capabilities, dynamic and ordinary, are operationalized in the adoption of environmental management tools. This operationalization is made possible by internal and external antecedents and simple and complex routines. The findings also identify two possible configurations of organizational capabilities, each one leading to a specific form of environmental management. The first configuration leads to stand-alone environmental management systems, while the second succeeds in engendering integrated management systems. This study shows that this difference is explained by heterogeneous endowments in terms of antecedents across firms.

The study provides useful information for managers about the conditions that favor and facilitate adoption of environmental management tools and the ways these conditions operate.

The study illustrates the impact of society on large firms’ adoption of certain environmental management practices. It shows that external visibility – which has created strong societal pressure – is one of the external antecedents that led eight large French firms to develop specific organizational capabilities.

In analyzing the antecedents, routines and capabilities involved in the adoption of environmental management tools, the study adds some original, innovative contributions to current knowledge on the conditions for adoption of such tools.

The efficiency of the emission trading system (ETS) may help to control the total emission amount. The purpose of this paper is to investigate the generating cost issue in environmental/economic power dispatch, under the premise that the ETS has already been established.

The emission benefit and price level factors are introduced for transforming the bi‐objective optimization problem with the fuel cost and emission cost minimization into a single objective. In the developed mathematical model, both the total emission amount from all units and the permitted emission amount from each generating unit are taken into account. The successive linear programming method is employed to solve the optimization problem.

Simulation results of the IEEE 30‐bus test system show that a proper trading mechanism of emission permits is very important for generation companies to control the total emission amount and to reduce the overall generation cost.

Further research is needed to find out the impact on the generating cost caused by trading price fluctuation and the coping strategies.

The results can help to meet the requirements of current generating optimal dispatch.

To understand the effects of the best value regime on the public provision of recreation at the level of the leisure centre.

A strategic auditing device is applied to 87 leisure centres to investigate the strategic variables of environmental stability and attractiveness, service strengths and financial resources. The analysis produces a typology of leisure centres, and evaluates the prospects of each type under best value.

The findings suggest that a large number of leisure centres managed by local authorities will make limited headway in implementing best value. What is more, many face problems that will be exacerbated, rather than eased, by current policy. Leisure centres managed by Trusts generally face more benign local environments, which appear to offer greater prospects, but it is clear that Trust status itself offers few advantages outside a greater range of financial sources.

The research focuses on strategic choices as they face leisure centre managers. It does not directly explore the strategic and policy decisions made at other levels.

The paper argues for subtler recreation policy (and by implication, the provision of public sector services generally) that pays due regard to the local conditions of service providers. Policy that focuses only on general prescription of managerial (and often rhetorical) practices will frequently lead strategies towards satisficing performance indicators that may be arbitrary, rather than focusing on problems and issues as they face professional leisure managers.

The use of a formal strategy tool as the level of a service provider is novel, and augments work on hybrid firms facing strategic choices based not only on political factors but also private sector market‐oriented competitors. Further, useful comparisons are made between leisure centres managed by Trusts and those still controlled by a Local Authority. The data provided will also help to inform practical and academic debates concerning the application of quality standards and management practices in the leisure sector.

Reports upon research carried out in Taiwan to assess the relative importance of external environment, internal conditions and contextual variables as the major source or momentum for school organizational learning. Maps out the intricate causal relationships among all external, internal and contextual factors with organizational learning process and outcomes. The sample comprised 51 primary and 37 secondary schools. It was found that school internal conditions – notably transformational leadership, positive school culture and supportive structure – outrank factors from other sources as the most critical elements in promoting organizational change, irrespective of the type and nature of schools or individual personal and background factors. Environmental constraints were not shown to be the dominant forces for organizations to engage in learning. Concludes that it is the leaders through their voluntary choice who bring about organizational change.

Additive manufacturing (AM) can reduce the process supply chain and encourage manufacturing innovation in remote or austere environments by producing an array of replacement/spare parts from a single raw material source. The wide variety of AM technologies, materials, and potential use cases necessitates decision support that addresses the diverse considerations of deployable manufacturing. The paper aims to discuss these issues.

Semi-structured interviews with potential users are conducted in order to establish a general deployable AM framework. This framework then forms the basis for a decision support tool to help users determine appropriate machines and materials for their desired deployable context.

User constraints are separated into process, machine, part, material, environmental, and logistical categories to form a deployable AM framework. These inform a “tiered funnel” selection tool, where each stage requires increased user knowledge of AM and the deployable context. The tool can help users narrow a database of candidate machines and materials to those appropriate for their deployable context.

Future work will focus on expanding the environments covered by the decision support tool and expanding the user needs pool to incorporate private sector users and users less familiar with AM processes.

The framework in this paper can influence the growth of existing deployable manufacturing endeavors (e.g. Rapid Equipping Force Expeditionary Lab – Mobile, Army’s Mobile Parts Hospital, etc.) and considerations for future deployable AM systems.

This work represents novel research to develop both a framework for deployable AM and a user-driven decision support tool to select a process and material for the deployable context.

Environmental regulation policy and cleaner production technology innovation are the key links to achieve sustainable economic development. This paper tests the impact of Two Control Zone (TCZ) environmental regulation policy on cleaner production technology innovation and explains the heterogeneity effect between them from the perspective of regional pollution intensity and R&D investment scale.

This paper takes TCZ policy as an environmental regulation policy and collects the patent data related to coal desulfurization cleaner production technology innovation in prefecture-level cities from 1994 to 2002 in China. This paper also tests the relationship between TCZ environmental regulation policy and cleaner production technology innovation based on difference in difference (DID) model. Take regional R&D investment scale and pollution intensity as category variables and analyze the heterogeneity effect of TCZ environmental regulation policy on cleaner production technology innovation based on difference-in-difference-in-difference (DDD) model.

TCZ environmental regulation policy effectively promotes China's cleaner production technology innovation, but it is more conducive to cleaner production technology innovation in heavy pollution areas. With the increasing of R&D investment scale, the positive effect of TCZ environmental regulation policy on cleaner production technology innovation is stronger.

On the basis of this study, the authors should further explore the regulatory factors of the relationship between TCZ environmental regulation policy and cleaner production technology innovation and further expand the research object, so as to make the research conclusions more practical and instructive.

This paper tests the impact of TCZ environmental regulation policy on cleaner production technology innovation based on the prefecture city level data and DID model, and it handles the endogenous problem caused by the missing variables and provides the accurate conclusions. Moreover, this paper examines the heterogeneity effect of TCZ environmental regulation policy on cleaner production innovation from regional R&D investment scale and pollution intensity two hands and expands the existing theoretical research.