Land use and land cover scenarios: An interdisciplinary approach integrating local conditions and the global shared socioeconomic pathways

Land Use and Land Cover (LULC) changes have profound impacts on the functioning of (agro)ecosystems and have potential to mitigate global climate change. However, we still lack interdisciplinary methods to project future LULC scenarios at spatial scales that are relevant for local decision making and future environmental assessments. Here we apply an interdisciplinary approach to develop spatially explicit projections of LULC at a resolution of 30 × 30 m informed by historic relationships between LULC and their key drivers, within the context of the four qualitative scenarios of global shared socioeconomic pathways. We apply this methodology to a case study in the Zona da Mata, Brazil, which has a history of major LULC changes. The analysis of LULC changes from 1986 to 2015 indicates that pasture area decreased from 76 to 58 % of total area, while forest areas increased from 18 to 24 %, and coffee from 3 to 11 %. Environmental protection legislation, rural credit for smallholder farmers, and demand for agricultural and raw products were identified as main drivers of LULC changes. Projected LULC for 2045 strongly depends on the global socioeconomic pathway scenarios, and forest and coffee areas may increase substantially under strong government measures in the environmentally conscious Green Road scenario or decrease in the high consumption Rocky Road scenario. Our study shows that under the set of drivers during the past three decades reforestation can go hand in hand with increase of agricultural production, but that major and contrasting changes in LULC can be expected depending on the socioeconomic pathway that will be followed in the future. To guide this process, LULC scenarios at the local scale can inform the planning of local and regional development and forest conservation.     

Green infrastructure and public policies: An international review of green roofs and green walls incentives

Worldwide, green infrastructure is increasingly used to mitigate the impacts of dense urban areas, contributing towards the naturalization of the built environment. However, for investors, these systems often emerge as requiring substantial upfront cost (high installation costs) and, depending on the solution, might also have significant maintenance costs. On the other hand, policymakers are placing green infrastructure on the agenda, as a solution to consider in urban planning and design. There is a mismatch between the economic/social/environmental value of green infrastructure and their financial analysis. As the quantified benefits of these solutions may not compensate the high implementation costs, discouraging building owners to invest in them. The alignment of both expectations, public and private agents, regarding the development of green infrastructure, is done through the use of incentives, with distinct configurations and nature, that promote and facilitate the adoption of green infrastructure by private investors. This research aims to identify and analyse the incentive policies used by several municipalities to promote the installation of green roofs and/or green walls. The data set includes 113 cities in 19 countries. The incentive policies were classified into six different categories: tax reductions, financing, construction permit, sustainability certification, obligations by law and agile administrative process. The results show that incentive policies are mainly concentrated in Europe and North America, and most incentive policies focus on the promotion of green roofs, as no exclusive incentive policies for the promotion of green walls were found. From all incentive policies studied, financial subsidies and obligations by law are the most used ways to promote green infrastructure worldwide.     

Do GCC market-oriented labor policies encourage inward FDI flows?

In this paper, we empirically examine the impact of market-oriented labor policies on inward FDI flows to the GCC countries. The paper adopts different estimation methodologies to address endogeneity and cross-sectional dependence. Reliance on professional management reduces inward FDI flows to the UAE while linking pay to productivity reduces inward FDI flows to both Bahrain and the UAE. Trade openness and infrastructure development have a positive influence, while human capital development has a surprisingly negative influence. Evidence, therefore, does not support the view that flexible labor market policies encourage inward FDI flows to GCC countries.     

Retaining a diverse workforce: the impact of gender‐focused human resource management

Demography theory suggests that high gender diversity leads to high turnover. As turnover is costly, we tested the following: a main effect prediction derived from demography theory, and a moderating effect prediction derived from the relational framework. Data on 198 publicly listed organisations were collected through a human resources decision‐maker survey and archival databases. The results indicate that higher gender diversity leads to lower turnover in organisations with many gender‐focused policies and practices. Findings suggest that organisations can lower their turnover rates by increasing their gender diversity and by implementing gender‐focused policies and practices.     

How useful is an Asian Currency Unit (ACU) index for surveillance in East Asia?

An Asian Currency Unit (ACU) index is constructed using an alternative procedure which minimizes a basket or portfolio of assets expressed in terms of national currencies. Using this estimated ACU index and an ACU deviation indicator, the main finding of this study based on the current trajectory of East Asian currencies relative to this regional ACU benchmark is that there is a formation of two contrasting groups of countries in the region—one group of strong currencies and one group of weak currencies. We emphasize that this contrasting trajectory in East Asian intra-regional exchange rates implies disturbed competitive trading relationships in the region, which may result in wasteful beggar-thy-neighbor policies. As emphasized in other recent studies (e.g., Kawai and Takagi, 2012), the region needs a framework for exchange rate policy coordination that will promote intra-regional exchange rate stability. We suggest two important ways in which the region can capitalize on using an ACU index for surveillance purposes in the immediate term. One way is to assess “over- and undervaluation” of individual currencies from the regional ACU average. The other is to use it as a monitoring device for excessive flows of international capital within the region.     

A cellular automata-based land-use model as an integrated spatial decision support system for urban planning in developing cities: The case of the Bogotá region

Bogotá and the 17 neighboring municipalities make up one of the biggest metropolitan areas in Latin America. However, despite strong functional interactions within the area, there is no official government body at this level in charge of coordinating authorities and providing solutions to the wide variety of issues arising in the regional urban land system. Aiming at providing an insight on future land-use developments linked to new transport infrastructures and at offering a tool to support territorial decision-making, this paper presents a cellular automata-based (CA) model based in Metronamica® software, that allows testing different scenarios based on potential land-use policies, environmental suitability and transport alternatives.There has not been, so far, an urban planning tool that accounts for the complexities of this region. CA-based land-use simulations constitute a useful approach to understanding the impacts of urban planning policies and regulations. This tool can help to improve inter-territorial and inter-institutional coordination, which through planning and management policies seek a spatially integrated development, with a long-term perspective.The CA-based model proposed was calibrated to reproduce land-use changes between 2007 and 2016 using different methods and indicators. The model was used to simulate and analyze eight scenarios with different policy directions of transport infrastructure in the future of the region. The results of the simulations reflect the dynamics of territorial occupation. The calibration indices in the experiment indicate a high degree of suitability for the CA Bogotá model, proving its effectiveness and potential as a useful tool for decision-making. The results show that occupation scenarios with restricted developable zones within the city, tend to have the greater dispersion rate in the study area, compared to scenarios where land development plans are promoted in Bogotá, which representing a more compact development.     

Corporate commitment to climate change action,carbon risk exposure,and a firm's debt financing policy

Motivated by the rising consensus that corporate engagement in climate change actions holds the key for society's transition into environmentally resilient economy, the study examines whether a firm's commitment to climate change action and its carbon risk exposure shape the firm's debt financing policy. Based on insights drawn from signaling, corporate reputation, and agency theories, we develop models that link corporate commitment to climate change actions and a firm's carbon risk exposure with its debt financing decisions. Using data drawn from S&P 500 companies, for years 2015 to 2019, we find a robust evidence that firms that engage in higher levels of commitment to climate change actions issue a higher proportion of debt with longer terms to maturity, even after controlling for their carbon risk exposure. However, we do not find a robust evidence corroborating an association between firms' carbon risk exposure and their debt financing policy. These findings are consistent with arguments that high-commitment firms enjoy positive reputation, better credit rating, and reduced agency and information asymmetry costs, allowing them to gain easier access to long-term debt markets.     

Upgrading peripheral wind sectors

The implementation of traditional policies does not consider institutional singularities in peripheral sectors. The main aim of this paper is to analyse the interaction among local capabilities and multinational agents to upgrade a peripheral wind sector. The case study conducted in the peripheral region of Galicia (Spain) emphasises the challenges concerning policy design and implementation in this kind of regions. The theoretical foundations are based on the systemic and evolutionary approach of the innovation system and the global value chain perspective. This combination enables to analyse how local contexts could shape governance patterns within value chains in peripheral regions. Likewise, the target approach is also applied concerning the design and implementation of a policy programme and its timing. Empirical evidences underline the complementarity of market size and foreign direct investment policies, as well as the diversification towards green transitions through enhancing local capabilities.