Experimental evidence on the resilience of a cap & trade system for land consumption in Germany

The German government has committed to substantially limiting future land consumption. Among the most prominently discussed policy instruments is the implementation of a cap & trade system for land consumption, in which a limited amount of certificates is allocated to and traded by municipalities. Since these certificates would be a prerequisite for conducting building projects, this system is expected to reduce urban sprawl and foster the efficient allocation of land consumption projects. While previous empirical studies have supported these projections, the potential fragility of a cap & trade system in the case of macroeconomic shocks has not been considered. In three laboratory experiments, we simulate the impact of economic and budgetary crises within a cap & trade scheme for land consumption. We find that a market-based system succeeds in compensating macroeconomic disturbances with only minor welfare losses. Certificate prices in auctions and trading are somewhat more volatile before shocks, yet normalize afterwards. Trading volumes and the specifics of project realizations remain largely unaffected. Unrelated to the macroeconomic shocks, auction and market prices persistently diverge, leading to income redistributions to the state. Overall, our evidence supports the introduction of a market-based certificate scheme to reduce land consumption in Germany due to its resilience against potential shocks.     

How collaborative routines improve dynamic innovation capability and performance in tourism industry? A path-dependent learning model

Current results of direct relationships between collaboration and innovation capability on performance in tourism contexts are inconsistent. This research is to uncover roles of collaborative routines on promoting relationships between internal and service innovation capabilities as two distinct mechanisms, and performance. The study also examines the contingent effect of knowledge search on performance. Survey data from 181 samples from the Thai tourism industry are gathered for analyses. Findings demonstrate that knowledge search and internal innovation capability have a direct impact on performance, whereas the effect of service innovation capability on performance is significant only in the presence of collaborative routines.     

The Politics of Property in Planning: Hezbollah's Reconstruction of Haret Hreik (Beirut,Lebanon) as Case Study

This research looks at post‐2006‐war reconstruction of the southern suburbs of Beirut under the auspices of Hezbollah (the Islamic resistance movement in Lebanon). The project was widely acclaimed as an alternative to current neoliberal planning practices in the Middle East and beyond. Based on a critical reading of the conception of property issues in this planning project, the article argues that this reconstruction presents a new geometry or alternative to the mainstream configuration of neoliberal urbanism, rather than a departure from its precepts. The reason for this is that the adopted language of property corresponds closely with the conception of property advocated by neoliberal planning, one that enshrines private, individual ownership as sacred and desirable and that works to strengthen its model in the city. I further argue that the ‘neoliberal planning regime’ within which Hezbollah's urban intervention occurs is not accidental; rather, it is necessary for the party's control of this space's future and for consolidating its territory in the city. It is hence expected that Hezbollah's planning in the city will produce the same decried effects as neoliberal planning elsewhere in the city rather than usher an innovative, progressive model of planning.     

A strategic planning model for the railway system accident rescue problem

The present study examines the location of emergency rescue problems for urban ambulance and railway emergency systems. The proposed model considers probabilistic rescue demand, independent busy fractions of ambulances, and the corresponding risk levels in railway segments. We formulate the proposed model using fuzzy multi-objective programming and solve it using a generic algorithm and a non-dominated sorting genetic algorithm-II. Computation results are analyzed by applying the model to a real-world Taiwan railway system. Analytical results demonstrate that a proper adjustment of the rescue resource location improves rescue effectiveness for railway rescue and urban medical service demand.     

A fuzzy goal programming approach to analyse sustainable development goals of India

Energy policy, environmental planning and economic development play a key role in sustainable development. Sustainable development requires suitable and strategic policies satisfying multiple and conflicting objectives. Fuzzy goal programming (FGP) is a well-known approach in multi-criteria decision-making for its practical application. In this article, a FGP approach is proposed to analyse environmental, energy and sustainability goals of India by the year 2030 with reference to the key economic sectors of India. The presented model analyses the improvement opportunities, requirement of efforts and implementation of the sustainable development plans. Numerical illustration is also provided for validation and application of the proposed model.     

Assessing land use plan implementation: Bridging the performance-conformance divide

The assessment of land use plan implementation is a contentious issue. The debate centers on whether the crucial evaluation element is conformance of development to plan directives or alternatively, plan performance, i.e. the degree to which the plan is actually used. An analytic framework combining both conformance and performance in the evaluation of (regional) land use plans is applied to the case of the Central District Plan in Israel. Qualitative and quantitative simulation methods are exploited. Qualitative analysis reveals that both performance and conformance are greater than indicated by non-contextualized, numeric evaluations. Additionally, high conformance does not necessarily imply good plan performance. Quantitative simulation suggests that plan performance with respect to land values and densities is initially pronounced as expectations for development are subdued but subsequently tends to wane merging with the counterfactual trend. Findings imply that plan assessment needs to consider the transaction costs of land use re-designation and actors’ perceptions of the probability that plan amendments will be approved. These perceptions differ across actors as a function of the political influence that they wield.     

Evaluating municipal landscape plans and their influence on selected aspects of landscape development – An empirical study from Germany

In this paper we examine the question of whether and how municipal landscape plans exert a positive influence on and/or correlate with selected aspects of the landscape. To this end, a representative sample of municipal landscape plans in Germany and a statistical-quantitative evaluation approach are used to uncover correlations between planning and landscape development. As a result, we can show that municipalities which draw up a landscape plan have a higher proportion of natural areas and a lower hemeroby index, i.e. a lower level of human influence. The model also reveals a significant relationship between the quality of the landscape plan as well as its duration of impact and the density of landscape structural elements. It is also determined that municipal landscape plans help protect grassland areas. The indicator-based method provides impulses for the international discussion on the evaluation of plans.     

Leadership succession planning for today’s digital transformation economy: Key factors to build for competency and innovation

Digital transformation is rapidly changing the competitive landscape and the war on talent for today’s organizations. As part of this economy, organizations and their HR units must continuously reevaluate leadership structures and practices that exploit core competencies while allowing for innovation (i.e., leadership ambidexterity) and incorporate big data with predictive analytics. In this vein, understanding how HR executives can create better solutions around this problem remains sparse. Specifically, what frameworks can HR executives apply to identify potential alignment failures in leadership succession planning in light of newer emerging markets? What internal decision-making traps need to be recognized? Finally, what specific forms of data and evidence must test these plans for relevance and recharge and renew the talent-to-strategy pipeline? In this article, we examine these questions by reviewing the gaps in the literature and identifying through our four-step model how organizations can incorporate ambidexterity-building as a leadership succession planning practice.     

The relationship between people's activities and values with the protection level and biodiversity

We investigated how people's recreational activities, values, and land use preferences are related to the protection level, biodiversity and cultural heritage values of nature-based tourism areas in northern Finland. We assessed peoples' opinions using a public participation geographic information system (PPGIS) and analyzed the data together with spatial biodiversity and cultural heritage data from the same area. Associations between the PPGIS place markings with the protection level and biodiversity values were quite low, and for the cultural heritage sites they were altogether missing. Negative preferences were often marked in areas with high numbers of sites rated as pleasant and they overlapped with each other, indicating conflicting preferences. Since most activities are not noticeably related to the protection level or biodiversity values of a site they can be planned so as to protect the biodiversity of the area.     

Small system dynamics model for alleviating the general practitioners rural care gap in Ontario,Canada

The disproportionate concentration of healthcare professionals in urban areas is a concern in many countries, including Canada. A need to address this rural care gap has driven a large number of government led initiatives worldwide over the years. This paper presents a model that can be used as a tool to examine the efficacy of such policies on the workforce distribution in the long term. A small system dynamics model is employed to simulate the current and future distribution of general physicians at a jurisdictional level. The model represents the transition of general practitioners to provide insight into the dynamics of care provision over time. The movement, and competition, between rural and urban areas is modeled to enable detailed exploration of the ability for proposed measures to alleviate the care gap in the future. Among the tested policies are such commonly used initiatives as financial incentives to rural professionals, promotion of medical education in rural areas, expansion of rural education programs and the engagement of international medical graduates etc. We demonstrate how the model can be used as a tool to determine an efficient and well-chosen combination of policies which can help alleviate the rural care gap in the future, given that some policies are more effective than others alone but also combined with other initiatives. The presented small system dynamics model is tested on Canada's reality, but its simple nature lends itself to easy application to other countries that experience a similar problem.