With the rapid development of materials science and construction technology, the concept of sustainable building (SB) and the Building Sustainability Assessment Tool (BSAT) have also evolved and developed. Understanding the development of BSAT and SB is of great significance to the sustainable development of the construction industry. This research used the bibliometric method to analyze the development and evolution in the relevant literature on SB and BSAT from 1990 to 2021, and the correlations and differences between them were investigated. We found that there are many common trends in the development of research efforts in SB and BSAT: (1) they focused solely on the environment, in the early days, and only later considered economic and social impacts; (2) the scales with which they are concerned continue to expand, from individual buildings to communities and even cities; (3) key areas, such as energy, materials, resources, indoor environmental quality, high-tech applications, adaptability, and concern for people are being given more attention by both SB and BSAT. On the other hand, the difference between them is that SB research focuses on more macro aspects, such as policy, culture, climate change, while BSAT research is more concerned with micro aspects, such as its system of tools. Furthermore, some current research gaps in the BSAT field are identified, clarifying its future research directions. By linking the evolution of the SB concept and the development of the BSAT research field, this review provides a new and valuable perspective for the sustainable assessment of the construction industry, which, itself, is conducive to the sustainable transformation of this industry, which could contribute greatly to the mitigation of global climate change.

Despite the great economic growth and fast urbanization process in the past four decades, China is now suffering severely from environmental pollution. Local governments’ industrial land supply behaviors have a great impact on local investment, economic growth, and environmental pollution, which has not been effectively evaluated. To fill this gap, this paper quantitatively investigates the impact of industrial land supply by local governments on environmental pollution based on a two-way fixed effects model. A comprehensive and reliable data set for 277 Chinese prefecture-level cities from 2009 to 2017 has been collected for analysis. The findings suggest that the increase of the ratio of industrial and mining storage land to total land supply significantly increases the concentration of PM2.5. The results remain significant and robust after a series of robustness tests. The negative impacts on environmental quality caused by differences in land supply behavior are greater in the central and western regions. We further explored intermediate mechanisms for the environmental impact of local governments’ allocations of industrial land. The findings suggest that greater industrial land transfer by local governments leads to an expansion in the scale of regional secondary industry and increases in local fiscal deficit. Unbalanced industrial development, insufficient corporate innovation, and insufficient investment in environmental protection will increase pollution. This study provides a reference for improving regulatory measures on land transactions and for formulating regional polices for environmental protection.

This research presents the current state of understanding on strategies to update green building rating tools (GBRTs). Based on existing literature, the study determined the GBRT-updating requirements (URs) and their related technical elements (TEs) and integrated them to form a system framework through Functional Quality Development. The framework emphasizes the interaction and balance between expert deliberation and stakeholder participation, and fully considers the complementarity between international experience and local practice. Subsequently, the Fuzzy Analytic Hierarchy Process was used to determine the relative importance of URs while the Fuzzy Set Theory was used to quantify the correlation between URs and TEs. Finally, the Green Building Index (GBI) was used as the research sample to apply the proposed model, whose outputs were then analyzed by using the Importance-Performance Analysis method. Then, appropriate technical improvement suggestions for the updating of GBI were derived. The study explores the technical update of GBRT in the form of extensive participation and utilizes the knowledge complementarity among decision-makers. Furthermore, the proposed framework provides practical help to guide the update of GBRTs for developing countries.

Macroeconomic forecasting is guided by rational expectation, which emphasizes various historical information used. It is similar to using historical data to predict macroeconomic development trends. When making investment decisions, enterprises generally need to consider the cost of investment. The economic downturn seems to have entered a bottomless pit. The main reason is that although the government has stabilized the economic growth through large-scale stimulus policies, it also hinders the process of economic natural adjustment, leading to the artificially prolonged market economic cycle. Therefore, in order to effectively deal with this complex situation, we must rely on a more mature theory and method system to systematically analyze the transmission mechanism that affects enterprise investment decisions. This paper will analyze the macro-economy based on big data. The development strategy of big data has become a hot issue for enterprises around the world. Many enterprises integrate big data strategy with their own decisionmaking management system, and make more scientific decisions through comprehensive collection, screening and analysis of all kinds of data.