Environmental Management最新文献

Despite growing policy attention to sustainable natural resource management, limited empirical evidence explains how governance structures, stakeholder dynamics, and technological mechanisms jointly shape sustainability outcomes in resource-dependent industries. Existing studies predominantly rely on linear models and overlook the configurational and necessary conditions underpinning effective management. Addressing this theoretical and methodological gap, this study investigates how good governance, stakeholder engagement, green technology, and environmental impact assessment influence effective natural resource management in Bangladesh's power and fuel industries. To capture both net effects and causal complexity, the study integrates Partial Least Squares Structural Equation Modelling (PLS-SEM), fuzzy-set Qualitative Comparative Analysis (fsQCA), and Necessary Condition Analysis (NCA) using survey data collected from industry professionals. The findings show that stakeholder engagement and green technology exert significant positive effects on management performance, while governance and environmental impact assessment operate as necessary institutional thresholds rather than standalone predictors. Configurational analysis further reveals multiple pathways through which governance, technology, and assessment mechanisms jointly produce high-performance outcomes. The study advances stakeholder and sustainability governance theory by demonstrating that resource management effectiveness emerges from complementary institutional, participatory, and technological conditions rather than isolated factors. From a managerial perspective, the findings underscore the need to strengthen governance quality, institutionalize rigorous environmental assessment processes, and foster stakeholder-driven technological adoption to achieve long-term sustainability in resource-intensive sectors.

Green infrastructure is a novel strategy for spatial prioritisation of forest conservation, where the elaboration of maps is of key importance. Sweden represents an interesting case, where planning for green infrastructure received special attention from governmental authorities. Under Sweden's liberal forest governance, forest stakeholders (owners, companies and interest groups) acceptance is crucial for implementing novel instruments for landscape management, such as green infrastructure plans. Involving industrial and non-industrial private forest owners is, however, not a simple task. Based on 18 interviews with officials in charge of coordinating the plans at County Administrative Boards, our study aims to explore the challenges in mapping areas of high conservation values (AHCVs), how the coordinators understand the character of these maps as tools for environmental governance, and the resulting conflicts and hindrances to implementation of governmental objectives. Mandated by the Swedish government, green infrastructure plans were intended to gather knowledge, map AHCVs, and list actions to guide stakeholders on how to include green infrastructure in their forest management decisions. We examine how AHCV maps tended to be conceptualised by officials as solely the compilation of new knowledge, allegedly scientific and objective in its nature. However, there was also an acknowledgement that maps can indirectly affect resource distribution for nature conservation or limit forest owners' decision space. Further, we explore how coordinators adapted to the opposition from forest stakeholders regarding the compilation of AHCV maps. Our discussion centres on how maps, often considered to be pure spatial knowledge, represent a soft policy instrument for environmental governance and resource prioritisation in forestry. Our study underscores how different departure points for knowledge create conflicts and subsequent adaptations in working strategies or stagnation of environmental initiatives.

While substantial attention has been devoted to psychological ownership (PO) in various management-related domains, we focus on PO-based interventions as practical and low-cost levers for encouraging environmental stewardship. After characterizing PO and its three psychological routes (namely, control, knowledge and self-investment), we propose a five-dimensional model for designing and evaluating sustainability interventions. This framework clarifies how PO can be intentionally leveraged to promote pro-environmental behavior at both local and global levels. PO-based interventions can be applied and adapted to a wide range of behaviors, encompassing the common distinctions between recurring and non-recurring actions, low- and high-investment efforts, and collective versus individual behaviors. This framework is particularly helpful for guiding the development and continual refinement of targeted sustainability interventions. We also outline key policy and managerial implications, showing how PO-based approaches can complement traditional tools-especially in contexts of budget constraints or regulatory deadlock. Finally, we address the potential 'dark side' of PO-such as territoriality and structural neglect-and propose directions for future research on how PO can be responsibly leveraged to address environmental challenges.

This study investigates public support and household willingness to pay (WTP) for municipal water reuse systems in Oklahoma, where water scarcity and a state mandate to limit freshwater use have prompted interest in alternative supply strategies. Using data from the Oklahoma Meso-Scale Integrated Sociogeographic Network and a representative household survey, we estimate WTP using a contingent valuation referendum design. While 74 percent of respondents initially expressed support for a reuse system when the cost was not mentioned, only 48 percent accepted a randomized monthly increase in their water bill. The average WTP was $10 per household per month, with substantial variation across ideological and perceptual groups. Respondents who self-identified as "strong liberals" showed the highest WTP ($16.22), while "conservatives" reported significantly lower values. Trust in water scientists and favorable emotional responses toward water reuse, i.e., a reduced "yuck factor," were among the strongest predictors of both support and financial commitment. We conducted a cost-benefit analysis over a range of WTP to determine the number of households needed to finance a hypothetical $9 million water reuse system. Under average WTP, 13,893 households would suffice, which falls well below the size of the example community. However, conservative assumptions based on minimum WTP estimates raised this figure to 25,235 households, exceeding the local tax base. The results highlight the significance of psychological and ideological factors in formulating water infrastructure policy and public finance decisions.

Climate change is amplifying disturbances in Central European forests, making resilience a key concept in forest management planning. Yet, the impacts and trade-offs of practices regarded as resilience-enhancing, such as pre-rotation age establishment of young trees in canopy gaps remain insufficiently quantified. Here, we adapt a recent quantification framework, using the post-disturbance recovery time of the present value of a given ecosystem service (ES) as stand-level resilience metric. Our novel, Monte-Carlo Simulation-based (MCS) approach models time series for two ES (net revenues and aboveground carbon sequestration) to quantify the impacts of disturbances under different gap-cut regimes, which we compare against a clear-cut baseline. Gap-cuts can notably enhance resilience, reducing average recovery times by up to 6.6 years (-15.7%) in the financial and 3.3 years (-21.3%) in the carbon sequestration context. Concerning the financial aspects, some gap-cut regimes small in gap size and late in timing could enhance resilience without associated losses in soil expectation value. However, most regimes, although dominating in the resilience metric, were associated with opportunity costs. These costs were less pronounced for carbon sequestration. We conclude that gap-cut induced regeneration can enhance resilience in both financial and carbon contexts, but their optimal timing and size depends on the prioritized ecosystem service. As the complexity of forest stand representations is inherently limited by our MCS-approach, further research should refine forest-value estimation through neural networks and mechanistic models, enabling richer representations of growth and disturbance dynamics and more detailed management regimes.