Search

Green buildings have gained increasing momentum during the past decade, evidenced by an uptick in green building construction worldwide. To facilitate green building development, it is crucial to understand the current geographical distribution of green buildings, thereby identifying emerging markets and opportunities for future growth. However, very few studies investigated the spatial characteristics of the green building market and the factors influencing the distribution of green buildings. By examining the national green building market in the United States, we studied the spatial distribution patterns and significant influencing factors of the county-level US green building markets. Cluster mapping and hot spots of the green building markets were identified through spatial autocorrelation analysis. A spatial regression model with high performance (R2 of 0.83) was developed to identify the significant influencing factors. We found a statistically significant clustering phenomenon of county-level US green building markets. The spatial error model reveals that three factors, namely, the number of housing units, gross domestic product, and the local green building company index, significantly influence the number of green buildings at the county level. We also found that the county-level green building market is influenced by these factors of not only the host county, but also the neighboring counties. Our findings provide a useful reference for stakeholders' decision-making process concerning local green building market development. [ABSTRACT FROM AUTHOR]

Urban green spaces assume a pivotal role in city-level nature-based solutions for sustainable development. Parks, street greening, and community greens play a significant role in regulating the urban microenvironment, enhancing subjective well-being, and increasing regional attractiveness. Additionally, urban greenbelts have the capacity to control urban sprawl, thereby influencing housing prices and population distribution. However, the exisiting urban models have typically addressed greenbelts and other green spaces in isolation, resulting in fragmented planning strategies. This study aims to establish a novel spatial equilibrium model that accurately assesses the socio-economic effects resulting from the combined impact of various urban green spaces. This model encompasses green infrastructure components and carefully balances their appeal against the consequent rise in housing costs. The proposed model can elucidate the latent synergistic interactions among multiple urban green policies, which enables urban policymakers to access the multifaceted impacts of greening policy combinations. and suggests that combining different urban greening policies can mitigate the negative effects of a single policy type, such as population redistribution. A case study based on empirical data from Shanghai, China, has been employed to identify the additional value associated with diverse urban green spaces. The scenario analysis suggests that combining different urban greening policies can alleviate the negative impacts of urban population relocation. These findings furnish urban planners and policymakers with novel insights to develop the distribution strategy of urban green spaces via judicious policy integration. Consequently, the proposed model furnishes a novel academic standpoint on the role of urban green spaces within the context of nature-based solution for sustainable development of metropolitan conglomerates and nascent urban agglomerations amidst the evolving post-COVID-19 environment. [ABSTRACT FROM AUTHOR]