Geographical Imbalance and Influential Characteristics of the Green Building Market (Record no. 814328)

MARC details
000 -LEADER
fixed length control field 02486aab a2200253 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field
022 ## - INTERNATIONAL STANDARD SERIAL NUMBER
International Standard Serial Number 0733-9364
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Chang, Ruidong
9 (RLIN) 878899
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name He, Tianzhi
9 (RLIN) 878900
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Han, Yilong
9 (RLIN) 878451
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Xue, Rui
9 (RLIN) 715120
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Zhang, Wei Emma
9 (RLIN) 878901
245 ## - TITLE STATEMENT
Title Geographical Imbalance and Influential Characteristics of the Green Building Market
300 ## - PHYSICAL DESCRIPTION
Extent 1-14 p.
520 ## - SUMMARY, ETC.
Summary, etc. 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.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Green Building Market
9 (RLIN) 878902
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Geographical Imbalance
9 (RLIN) 878903
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Spatial Autocorrelation
9 (RLIN) 738543
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Spatial Distribution
9 (RLIN) 164046
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Spatial Regression
9 (RLIN) 878904
773 0# - HOST ITEM ENTRY
Place, publisher, and date of publication Reston,Virginia, U.S.A : American Society of Civil Engineers/ American Concrete Institute
International Standard Serial Number 07339364
Title ASCE: Journal of Construction Engineering and Management
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1061/JCEMD4.COENG-12971">https://doi.org/10.1061/JCEMD4.COENG-12971</a>
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Suppress in OPAC No
Koha item type Articles
-- 14993
-- Mr. Muhammad Rafique Al Haj Rajab Ali (Late)
Holdings
Not for loan Home library Serial Enumeration / chronology Total Checkouts Date last seen Koha item type
  Periodical Section Vol.149, No.10(Oct.2023)   15/11/2023 Articles