A statistical approach to evaluate the effect of obstacles on green building development in Northeast India

Mayur Shirish Jain , Jubaraj Kakati
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Abstract

The practice of "green building" (GB) is gaining popularity in the building sector as a practical means of meeting the rising demand for eco-friendly or sustainable structures. However, the adoption of GB has been slower than it ought to have been. This study examines the significance of several obstacles to the widespread acceptance of GB. The findings gathered through statistical analysis of the responses received from a questionnaire survey provided to experts in the field of GB throughout the Northeastern states, are provided. A thorough review was done to identify 18 possible barriers to GBD in Northeast India. Descriptive and inferential statistical studies (ANOVA and Exploratory Factor Analysis) were done to evaluate the effects of different obstacles on GBD and categorize them into manageable factors. To examine the impact of various obstacles on GBD, a Partial Least Squares Structural Equation Model (PLS-SEM) was established. The results revealed that poor geographic location, rating system limitations, enormous financial consequences, inadequate market conditions and policies, project viability, and poor public perception of GB contribute to Northeast India's GBD challenges. The conclusions of this paper might assist policymakers in identifying issues in GB adoption and developing appropriate measures for their wider acceptance.

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评估印度东北部绿色建筑发展障碍影响的统计方法
绿色建筑"(GB)作为满足对生态友好型或可持续建筑日益增长的需求的一种实用手段,在建筑领域越来越受欢迎。然而,"绿色建筑 "的采用却比应有的速度要慢。本研究探讨了阻碍 GB 被广泛接受的几个重要因素。通过对东北部各州的 GB 领域专家进行问卷调查所收到的答复进行统计分析,得出了研究结果。通过全面审查,确定了印度东北部地区可能存在的 18 种阻碍国标发展的因素。通过描述性和推论性统计研究(方差分析和探索性因素分析),评估了不同障碍对GBD的影响,并将其归类为可管理的因素。为了研究各种障碍对GBD的影响,建立了部分最小二乘法结构方程模型(PLS-SEM)。结果表明,地理位置不佳、评级系统的限制、巨大的财务后果、市场条件和政策不完善、项目可行性以及公众对 GB 的不良认知是印度东北部 GBD 面临挑战的原因。本文的结论可能有助于政策制定者发现在采用国标方面存在的问题,并制定适当的措施使其得到更广泛的接受。
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