21 research outputs found

    Measuring Environmental Action and Economic Performance in Developing Countries

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    Significant advances have been made in measuring the stringency of environmental policies, and understanding the relationship between environmental action and economic dynamics, particularly in high-income countries. Despite this, unequivocal empirical evidence on the impact of environmental policies on economic performance remains elusive, with conclusions being highly dependent on the conceptual and methodological choices with respect to defining and measuring the stringency of environmental policies. Most importantly, the literature evaluating these issues in developing countries remains sparse and robust findings are even more difficult to extract. This study reviews the existing body of work in both developed, and, where available, developing countries. It provides a comprehensive assessment of how environmental policy stringency has been measured, outlining definitional and conceptual challenges. It discusses the advantages and disadvantages of different indicators, and their usefulness for application in developing countries. In an effort to improve our understanding of the impact of environmental policy stringency in middleand low-income countries, the study draws lessons for the prioritization of future data collection and measurement efforts. Through the study, two types of stringency indicators emerge as requiring the most attention: de facto enforcement indicators and de jure explicit measures that capture the stringency of specific environmental laws, rules and regulations. While there is no “best” conceivable measure of the stringency of environmental policies, a multidimensional approach to quantifying stringency in developing countries, with a focus on explicit direct measures, is advocated. Data collection and indicator-improvement efforts need, though, to be updated periodically and supplemented by other proxies for environmental stringency

    An Inquiry into Model Validity When Addressing Complex Sustainability Challenges

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    Scientific modelling is a prime means to generate understanding and provide much-needed information to support public decision-making in the fluid area of sustainability. A growing, diverse sustainability modelling literature, however, does not readily lend itself to standard validation procedures, which are typically rooted in the positivist principles of empirical verification and predictive success. Yet, to be useful to decision-makers, models, including their outputs and the processes through which they are established must be, and must be seen to be “valid.” This study explores what model validity means in a problem space with increasingly interlinked and fast-moving challenges. We examine validation perspectives through ontological, epistemic, and methodological lenses, for a range of modelling approaches that can be considered as “complexity-compatible.” The worldview taken in complexity-compatible modelling departs from the more standard modelling assumptions of complete objectivity and full predictability. Drawing on different insights from complexity science, systems thinking, economics, and mathematics, we suggest a ten-dimensional framework for progressing on model validity when investigating sustainability concerns. As such, we develop a widened view of the meaning of model validity for sustainability. It includes (i) acknowledging that several facets of validation are critical for the successful modelling of the sustainability of complex systems; (ii) tackling the thorny issues of uncertainty, subjectivity, and unpredictability; (iii) exploring the realism of model assumptions and mechanisms; (iv) embracing the role of stakeholder engagement and scrutiny throughout the modelling process; and (v) considering model purpose when assessing model validity. We wish to widen the debate on the meaning of model validity in a constructive way. We conclude that consideration of all these elements is necessary to enable sustainability models to support, more effectively, decision-making for complex interdependent systems

    Economic impacts of adopting the Common Agricultural Policy of the European Union: a CGE approach to the case of Romania

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    This paper evaluates potential economic impacts of incorporating Romania into EU's Common Agricultural Policy. A CGE model of Romania is employed to model likely changes in trade, production and welfare patterns with a focus on fifteen local agro-food activities. Three main findings emerge. First, the adoption of the CAP expands agro-food output and trade, promotes higher farm incomes, and increases economic welfare. Second, CAP application results in production specialisation effects, particularly for sugar and sugar beet, bovine meat products, ruminant live animals, dairies, and cereal grains. Third, the identified impacts are driven by changes in trade-related measures, particularly enhanced access to EU markets, and less by alterations in production-related domestic support. The paper concludes that EU accession and CAP adoption may bring potentially realisable growth in Romania's agro-food sector, though in practice this will depend on producers' ability to respond to the supply incentives being offered
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