Hotel environmental management initiative (HEMI) scale development

Owing to a lack of construct reliability and validity of environmental management measurements, advancements in understanding hotels’ environmental management practices have been somewhat limited. The goal of this paper is to propose a uniform and parsimonious scale that captures Hotels’ Environmental Management Initiative (HEMI) with the most common three dimensions in the hotel industry: environmental resource conservation efforts, environmental policy and training, and environmental public relation efforts. After the refinement of the initial items, the scale was confirmed with cross-cultural data obtained from full-time hotel employees in two Asian countries. The twenty-one item HEMI scale demonstrated a satisfactory level of content, convergent, discriminant, cross, and criterion-related validity. The proposed HEMI scale will serve as a useful tool for future hospitality scholars who would like to further explore the impact of hotels’ environmental management initiatives on employees’ attitudes and behaviors toward the environment and their environmental performance.     

Consumer engagement behaviors in the online wildlife trade: Implications for conservationists

This study investigates consumer engagement behaviors in the online wildlife trade, drawing implications for conservationists. The first study undertook a quantitative content analysis of 500 Facebook posts in wildlife trade lateral exchange markets to show how creative strategies, media type and persuasion tactics influence the number of likes and comments that posts receive. The second study then undertook a thematic discourse analysis to develop a rich understanding of the culture, beliefs and motivations that influence how consumers engage in the markets. Findings showed that an overwhelming majority of posts use a functional or informational strategy and that when posts use overt persuasion tactics the number of comments decrease. A conceptual model of how cultural factors may impact the success of marketing strategies is then proposed. These findings have implications for conservationists who seek to build engagement with wildlife trade consumers online.     

Is China’s Manufacturing Industry Efficient? Evidence from an Energy-Rebound Effect Perspective

Majority of the increase in global energy consumption is from China; hence, studying energy issues, especially in China’s manufacturing industry (CMI), is worthwhile and of much interest in the academic field. Based on the translog cost function, we develop a research framework to study the rebound effect of CMI. Considering the effect of asymmetric energy price, we augment the energy-cost function with asymmetric influence constraint of energy price. Again, we add time series data of CMI’s capital, labor, energy, and mid-input to the model to calculate the direct rebound effect of CMI. We find that the rebound effect of CMI is 44.2%, and CMI still has large energy-conservation potentials. Based on the results of this study, some policy recommendations are provided.     

俄罗斯“博物馆保护区”的发展、特征及其启示

俄罗斯博物馆保护区兼顾有形与无形文化遗产保护的综合管理，关注人文环境与自然环境的整体保护问题。通过对俄罗斯文化遗产保护体系的梳理，基于博物馆保护区在俄罗斯文化遗产保护体系中的地位，对俄罗斯博物馆保护区的基本概念、分布特征、保护区划和基本分类等内容进行研究。最后，从整合机制和管理机构设置两方面分析中国历史文化街区保护存在的问题，提出作为文化机构的博物馆保护区制度，将为完善中国历史文化街区的保护制度提供必要的借鉴和启示。     

Policy lessons from spatiotemporal enrollment patterns of payment for ecosystem service programs in Argentina

Payment for ecosystem services schemes (PES) are lauded as a market-based solution to curtail deforestation and restore degraded ecosystems. However, PES programs often fail to conserve sites under strong long-term deforestation pressures. Underperformance, in part, is likely due to adverse selection. Spatial adverse selection occurs when landowners are more likely to enroll parcels with low deforestation pressure than parcels with high deforestation pressure. Temporal adverse selection arises when parcels are enrolled for short time periods. In both cases, financial resources are allocated without having a sizeable impact on long-term land use change. Improving program performance to overcome these shortcomings requires understanding attributes of landowners and their parcels across large scales to identify spatial and temporal enrollment patterns that drive adverse selection. In this paper, we examine these patterns in Argentina’s PES program in Chaco forest, a global deforestation hotspot. Our study area covers 252,319 km². Results from multinomial logistic regression models showed that large parcels of enrolled land and parcels owned by absentee landowners exhibit greater evidence of spatiotemporal adverse selection than smaller parcels or parcels owned by local landowners. Furthermore, parcels managed under land use plans for conservation and restoration are more likely to be associated with adverse selection than parcels managed for financial returns such as harvest of non-timber forest products, silviculture, and silvopasture. However, prior to recommending that PES programs focus on land uses with higher potential earnings, a greater understanding is needed of the degree to which these land uses meet ecological and biodiversity goals of PES programs. We suggest that increased spatial targeting of enrollment, along with enrollment of local landowners and further incentives for land uses that support conservation and restoration, could promote long-term conservation of forest lands.     

Measuring the effects of preservation on farm profits in a continuous treatment setting

Despite billions of dollars of public appropriations to state purchase of development rights (PDR) programmes, there has been limited evaluation of the effects of these investments on the economic performance of preserved farms. This article estimates dose-response functions to evaluate the effects of enrolment in New Jersey’s PDR programme on farm profitability. The generalized propensity score method in a continuous treatment setting is used to address selection bias arising from voluntary programme participation. Treatment effects are measured across treatment levels to determine whether farm profitability is affected differently across levels of programme participation. Our findings reveal that, relative to unpreserved farms, profit per acre tends to increase along lower treatment levels. The profit per acre of preserved farms in the 1–40% treatment range is, on average, $407 higher than that of unpreserved farms in the full sample. Positive profit differentials averaging between $317 and $472 per acre are also observed in the 1–20%, 1–40% and 1–60% treatment quintiles in the farming occupation sample. We do not observe statistically significant profitability differentials when treatment effects are averaged across all positive treatment values.     

Nondiscretionary residential water use: the impact of habits and water‐efficient technologies

Several studies published in the last few decades have demonstrated a low price‐elasticity for residential water use. In particular, it has been shown that there is a quantity of water demanded that remains constant regardless of prices and other economic factors. In this research, we characterise residential water demand based on a Stone‐Geary utility function. This specification is not only theory‐compatible but can also explicitly model a minimum level of consumption not dependent on prices or income. This is described as minimum threshold or nondiscretionary water use. Additionally, the Stone‐Geary framework is used to model the subsistence level of water consumption that is dependent on the temporal evolution of consumer habits and stock of physical capital. The main aim of this study is to analyse the impact of water‐saving habits and water‐efficient technologies on residential water demand, while additionally focusing attention on nondiscretionary uses. This is informed by an empirical application using data from a survey conducted among residents of Brisbane City Council, Australia. The results will be especially useful in the design of water tariffs and other water‐saving policies.     

Erosion mitigation in the Waikato District,New Zealand: economic implications for agriculture

Soil erosion, in its various forms, is caused or aggravated by agricultural activities. Mitigation of surface erosion comprises the construction of shelterbelts, fencing, riparian buffering, and stock reduction. Mitigation of mass‐movement erosion, in turn, takes the form of spaced planting of trees to maintain a persistent, healthy, and complete ground cover. In this article, we assess the economic implications to agriculture of the adoption of mitigation alternatives for erosion control in the Waikato District, New Zealand. The Waikato District presents a spatial pattern of erosion that affects profitability of dairy, and sheep and beef enterprises. We use the Universal Soil Loss Equation and the New Zealand Empirical Erosion Model to estimate erosion figures that are then fed into an economic‐focused, nonlinear, partial equilibrium mathematical programming model of New Zealand land use. Different scenarios are constructed for surface and mass‐movement soil erosion targets ranging from 0% to 50% below baseline levels. We find that achieving surface erosion targets is more expensive than mass‐movement targets, and results in different responses in regional‐level costs, land use, enterprise net revenue, and adoption of mitigation alternatives.     

Predictors of individuals’ intention to conserve water in a lodging context: the application of an extended Theory of Reasoned Action

This study sought to develop an extended Theory of Reasoned Action (TRA) model to provide a clear understanding of individuals’ intention to conserve water in a lodging context. In particular, the extended TRA incorporates two additional constructs: environmental concern and water conservation activities in everyday life, into the original TRA model. The outcomes of the present paper have shown that individuals’ attitudes, subjective norms and water conservation activities in everyday life exert a positive influence on their intention to conserve water in a lodging context. The results also revealed that environmental concern has a positive influence on individuals’ attitudes and water conservation activities in everyday life but a non-significant influence on their subjective norms. The empirical results of Structural Equation Modeling (SEM) indicated that the extended model provides a better fit of the data, and explains greater amounts of variance in individuals’ intention to conserve water in a lodging context compared to the original TRA.     

mLearning as a softer visitor management approach for sustainable tourism

With increased visitation to protected natural areas over the last four decades, there is a need for implementation of effective visitor management strategies at these sites to mitigate visitor impacts. This study explores the application of mobile learning (mLearning) in environmental interpretation and visitor education within the context of conservation and sustainable tourism. Specifically, it proposes a conceptual framework for mLearning as a visitor management tool for sustainable tourism. Current developments and innovations in mobile broadband networks, smartphone technology, and mobile software applications present opportunities for the utilization of such mobile-driven applications in interpretive programs to encourage free-choice learning and mindful visitor experiences. If effectively implemented, such interpretive programs and mLearning applications can affect visitor perceptions, attitudes, and future intentions toward conservation and environmental protection.