{'fraction_non_alphanumeric': 0.01526032315978456, 'fraction_numerical': 0.0, 'mean_word_length': 6.147435897435898, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 1, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Understanding Green Construction Drivers for Incentive Structuring in the Developing Country

This paper is to identify the driving factors that influence building consultant and contractor decision in green construction properties and model the building incentive using partial least square structural equation modelling (PLS-SEM) methods. Precisely, the study modelled the effects of uncertainty of economy condition, environment development, knowledge improvement, and regional policy on green construction implementation affecting building incentives in the developing country. The study was based on a survey of building stakeholder in construction phase in the capital city of Indonesia and the model was validated for reliability and validity. The PLS-SEM indicated that sustainable in green construction implementation has significant causal effects on incentives. Among these factors, selection of green construction technology was significant. Sustainable in green construction implementation was, however, found to have the most significant effect on internal and external green construction incentives.