Suchergebnisse

The Massachusetts model illustrates the latest approach to smart growth - the incentive based program. This study examines the reasons for and actual outcomes of local smart growth efforts through one of the Massachusetts' smart growth incentives - the Commonwealth Capital (CC) Program. The main objectives of this research are built on two conceptual models through a mixed approach that combines qualitative and quantitative methods. The qualitative method is mainly utilized to evaluate the implementation of the CC program. The results indicate that the program is a good measure of municipal smart growth efforts representative of goals of the state. Communities with diverse land bases have some advantage, as a variety of zoning methods can be employed. It is not obvious that communities have changed their own zoning in response to the stimuli of the CC program. The first model is applied through various statistical tests to investigate the relationships among the towns' characteristics and CC data. Homeownership, education and access to the highway system are significant factors related to municipal smart growth efforts in Massachusetts. Wealth, population and quantity of open spaces are only significant for certain type of communities (e.g. maturing suburbs, developing towns etc). Municipal political preferences (e.g. forms of municipal governance, DEM/GOP preference etc) and municipal planners' efforts have some influence on the adoptions of smart growth policies, though the specific outcomes might vary case by case. The second model tests the statistical relationships between CC data and the Urban Sprawl in Massachusetts. The urban sprawl are defined by Urban Sprawl Indicator (USI) as the amount of residential land consumed per building permit in the five past years per community in Massachusetts. The CC scores and USIs negatively fit the regression line well, indicating that local smart growth efforts have generally controlled land consumption in the past. In particular, the USIs in developing suburbs appear more responsive to the CC data. The spatial lag model shows sprawl is a net-effect phenomena and the cluster of sprawl in a region might weaken the effectiveness of particular municipal smart growth efforts. Lastly, this research suggests that the design of state land use policies ought to follow the nature of geographic segmentation of municipal smart growth preferences.

With the rapid accumulation of population and industry, the urban service efficiency requirements in building sustainable and smart cities are increasingly becoming higher. However, current environmental assessment methods require large amounts of data, long assessment cycles, and tedious assessment processes; thus, they cannot quickly respond to the rapidly changing urban green space. To resolve the above problems, we present a multidimensional model for sustainable and smart cities equipped with RE–3DSG sensors to detect the real experience of residents and the three–dimensional structure of the urban green space. RE–3DSG sensors consist of two parts: The net ecosystem service (Net ES) and green volume ratio (GVR), where Net ES provides a solution consisting of runoff control, air purification, cooling, carbon sequestration, noise reduction, and recreational area establishment, while GVR assesses the spatial structure of urban built environment plant clusters. By implementing the proposed model, it is proven that it can assist users (usually decision makers in government departments) to improve the decision–making efficiency and increase the satisfaction of residents with urban green spaces, thereby achieving the goal of building a sustainable and smart city.

PurposeThis paper aims to adopt the strategy-structure-performance (SSP) framework to explore how proactive social strategy could motivate firms to collaborate with suppliers on social sustainability initiatives, and how such collaborative efforts could unlock a win-win opportunity for both noneconomic (social performance) and economic (operational performance) performance. Additionally, drawing on the tenets of the social exchange theory, the different moderating effects of distributive justice and procedural justice on the social collaboration-performance relationship are also examined.Design/methodology/approachThis study uses survey data collected from 215 manufacturing companies in China. The proposed hypotheses are tested using multiple linear regression models as well as the PROCESS macro within SPSS.FindingsThe results suggest that (1) a proactive social strategy could motivate firms to collaborate with suppliers on joint social activities and (2) social collaboration with suppliers can have a significant positive effect on both social and operational performance. The moderation results suggest that distributive justice has a differential effect on the collaboration-performance link. Particularly, distributive justice strengthens the relationship between social collaboration and operational performance, while it weakens the relationship between social collaboration and social performance. Surprisingly, procedural justice did not have a significant moderating effect on the social collaboration-performance link.Originality/valueThis paper extends the SSP framework to the social sustainability context by not only stressing the importance of proactivity in managing sustainability, but also revealing collaboration as a structural aspect that could achieve superior performance benefits. This study also contributes to sustainable supply chain literature by exploring the moderating roles of justice elements.