Trade Liberalization and Environmental Taxation in Federal Systems

The literature on trade liberalization and environment has not yet considered federal structures. In this paper, we show how the design of environmental policy in a federal system has implications for the effects of trade reform. Trade liberalization leads to a decline in pollution taxes, regardless of whether pollution taxes are set at the federal (centralized) or local (decentralized) level, and it increases social welfare. The effect under a decentralized system is smaller than if these taxes are set by the federal government, and pollution emissions therefore decline in this case. Moreover, majority bias interacts with trade liberalization if federal taxes are used.     

Environmental taxes,reforms and economic growth: an empirical analysis of panel data

This paper explores the relationship between environmentally related taxes and the economic growth rate. The analysis also investigates whether this relationship differs between countries that have implemented environmental tax reforms (ETRs) and those that have not. Using panel data from 31 OECD countries over the period 1994–2013, the paper finds that when we allow environmentally related tax revenues to interact with an initial level of real GDP per capita, the overall revenues of these taxes are negatively associated with the economic growth rate in the short and long term. Furthermore, we show that the higher the initial level of GDP per capita, the more environmentally related tax revenues can promote the economic growth rate. The analysis also reveals that the relationship between environmentally related tax revenues and economic growth varies between countries that have a mechanism to redistribute environmentally related tax revenues and those that do not.     

Separate waste collection in mountain municipalities. A case study in Campania

This paper aims to analyse the impact of land characteristics (i.e. altimetry and housing dispersion) on separate waste collection, with a focus on mountain municipalities. The high spatial heterogeneity of the driving factors of separate waste collection allows traditional techniques, such as OLS, to offer only a partial depiction of the situation, missing important information. In this view, we perform the Geographically Weighted Regression (GWR), which allows to control for the local determinants of waste management. Our data cover 550 municipalities of Campania, in Southern Italy. We control for a set of morphological and socio-economic variables, drawn from official records for 2012. Our results show that the relationships between land characteristics and separate waste collection are not constant over space. Moreover, they suggest that in the presence of non-modifiable factors (such as land characteristics) local governments should act on citizen motivations, promoting awareness on environmental issues, and should implement time-saving collection methods.     

Precision and Manipulation of Non-financial Information: The Curious Case of Environmental Liability

This paper develops a model showing how the environmental liability regime and the precision of the disclosed environmental performance indicator affect managers’ incentives (1) to reduce actual pollution and (2) to manipulate the reported pollution. I assume a company with a separation of ownership and control which can be held liable for environmental damages and distinguish between a negligence regime and strict liability. The results suggest that if there is no manipulation but only a lack of precision of the disclosed environmental performance indicator, a negligence rule induces lower actual pollution levels than strict liability even though a negligence rule is considered to be more lenient. If managers are able to manipulate the disclosed environmental performance indicator, they will do so and actual pollution levels will generally increase. While manipulation makes it easier for shareholders to escape liability under a negligence regime, shareholders suffer from manipulation under strict liability due to higher actual pollution and higher expected damage compensation payments. Therefore, the manipulation level is higher under a negligence regime. My analysis contributes to the environmental performance and disclosure literature by showing that the liability regime is an important determinant affecting environmental reporting and actual pollution decisions.     

An evaluation framework for developing green infrastructure by using a new hybrid multiple attribute decision-making model for promoting environmental sustainability

With the expansion of urbanization caused by the growth of population and industrial activities, the urban/city and suburban areas are facing a variety of environmental threats. Although more research and urban policy has advocated and practiced the development of green infrastructure (GI) to support urban sustainable environment, the evaluation framework for the development of GI for promoting environmental sustainability is still insufficient. Moreover, the Analytic Hierarchy Process (AHP) commonly applied in published literature, makes an unrealistic assumption of independent relationships among dimensions/criteria in decision making for satisfying the real-world problem. Therefore, the purpose of this study is to construct the evaluation framework, including four dimensions and related ten criteria, using a new hybrid-modified multiple attribute decision-making (MADM) model for developing and improving the GI for promoting environmental sustainability. This MADM model is combined with three different methodologies of MADM, including the Decision-Making Trial and Evaluation Laboratory (DEMATEL) for constructing the influential network relation map (INRM) to explore the complex influential inter-relationships and DEMATEL based on Analytic Network Process (DANP) for determining the influential weights with the VIse Kriterijumska Optimizacija I Kompromisno Resenje (VIKOR) for evaluating and presenting improvement strategies for six different GIs. The empirical study indicates that DEMATEL and DANP Results suggest that decision-makers should pay more attention to the improvement of Design (D₄) and Materials (D₂) in terms of dimensions when utilizing the GI to promote environmental sustainability. Because these dimensions are enhanced, Species (D₁) and Energy (D₃) will be improved in synchronization. From the perspective of criteria, five are key core criteria and need to be focused on first: increasing the green coverage rate (B₉), utilizing sustainable materials (B₄), using ecological engineering (B₈), shaping species biodiversity (B₁), and reducing energy consumption (B₅). Modified VIKOR reveals that “grass swales” are a comparatively better choice among six GIs for promoting environmental sustainability toward achieving the aspiration level. Therefore, this MADM model is beneficial to provide a more convincing assessment framework and improvement strategies for the development of GI for promoting environmental sustainability. As a result, these modified MADM models can be shown more conveniently and reasonably than traditional methods such as traditional AHP or ANP method.     

The effect of cross-listing on the environmental,social, and governance performance of firms

We propose that cross-listing is associated with better environmental, social, and governance (ESG) performance, because cross-listed firms adopt ESG practices to mitigate the liability of foreignness (LOF) in foreign financial markets. Institutionalization processes have made ESG practices important for managing challenges associated with the LOF. With tests involving the S&P Global 1200 index, we show that cross-listing improves corporate social responsibility (CSR; i.e., social and environmental dimensions) but not corporate governance. The effects of cross-listing on CSR also depend on investor protection regimes of listing destinations: Stronger regimes correspond with poorer CSR performance, suggesting that they limit managerial discretion.     

The cost of unconventional gas extraction: A hedonic analysis

We focus on identification and estimation of potentially negative environmental impacts of unconventional natural gas extraction on property values in the United States and advance previous research by contributing new data and new identification strategies for isolating these potential impacts. Our study area consists of two counties in Pennsylvania that are home to large amounts of unconventional natural gas extraction but are otherwise isolated from other resource extraction industries or large urban areas. We deploy parametric, semi-parametric, and matching hedonic regression models that include recent quasi-experimental methods and, in contrast to previous research and much popular intuition, we fail to find robust significance that negative environmental externalities of natural gas extraction are manifested in nearby property values. While there may be plausible risks associated with unconventional natural gas extraction, we do not find consistent evidence to suggest that these risks significantly affect nearby property values.     

Firm performance in dynamic environments: The role of operational slack and operational scope

This study examines the effects of operational scope (breadth of product offering, extent of geographical diversification, and extent to which production processes can effectively meet varying demand) and operational slack (resources in excess of what is required to fulfill expected demand) on firm performance, contingent on two components of a firm's dynamic environment, unpredictability and instability. We collate quarterly data on 3857 publicly traded firms in 19 industries from the years 1991 to 2013 (representing 99,559 firm-quarter observations). Using panel data analysis, we find that narrow product offerings, low geographical diversification, low levels of excess capacity, and low inventory slack are each positively associated with firm performance. More importantly though, we find that operational scope is associated with improved performance in unpredictable environments, whereas operational slack is associated with improved performance in unstable environments. These findings contribute to the research on operations strategy by identifying the industry-specific environmental conditions under which operational slack and operational scope are associated with firm performance.     

Tourism at Costalegre,Mexico: An ecosystem services-based exploration of current challenges and alternative futures

Tourism, as all human activities, is dependent on the natural environment and its respective ecosystem services (ES). Different user groups manage and consume these touristic ES differently, resulting in discrepancies and potential conflicts. Despite the urgency to find inclusive local approaches for sustainable development, tourism studies still analyze socio-economic and ecological impacts separately and lack integrated social–ecological approaches to improve foresight in tourism planning. Based on a growing concern regarding the future of Costalegre on the Jalisco coast of Western Mexico, we analyze through interviews, surveys, and participant observation the dependence of tourism on specific ecosystem services and conduct a scenario analysis which shows present and future implications for the social–ecological system. Furthermore, this analysis shows in detail how different scenarios change ES provision and people's livelihoods. Key findings include identifying freshwater provision and cultural ES as the most important touristic ES. At a regional scale, peasants in ejidos are the main ES stewards, whereas high-class tourism facilities constitute important local stewards. Benefits, mainly access to freshwater and the beach, are unequally distributed, provoking conflicts among different ES user groups that may escalate in the near future. Improved communication between all user groups and strengthening of key political actors seem to be the most immediate recommendations to ensure the long term sustainability of this particular region. This work may contribute to improved planning and decision-making as our ES based scenarios are a first step to integrate social–ecological knowledge into improved decision-making. At a local scale, the study reveals the most likely future development options and their social and ecological consequences. It could also serve as a baseline for informed policy making.