Strategic environmental assessment policy integration model for solid waste management in Malaysia

被引:18
|
作者
Victor, Dennis [1 ]
Agamuthu, P. [1 ]
机构
[1] Univ Malaya, Fac Sci, Inst Biol Sci, Kuala Lumpur 50603, Malaysia
关键词
Policy; Solid waste management; Strategic environmental assessment; Driver; Model; PLANNED BEHAVIOR; DETERMINANTS;
D O I
10.1016/j.envsci.2013.06.008
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This paper examines the strategic environmental assessment (SEA) systemic policy drivers for solid waste management (SWM) policies, plans and programmes (PPP) in Malaysia. Solid waste generation in Malaysia has been increasing drastically from 9.0 million tonnes in 2000 to an expected 15.6 million tonnes in 2020. This projected rate of solid waste generation is expected to burden the country's environmental and water quality resources. The key problem the study frames is the lack of environmental integration in the SWM process which is only conducted during the environmental impact assessments (EIA) stage of SWM facilities. The purpose of this study is to expand the SEA subject knowledge by validating a behaviour based theoretical framework and identifying key policy drivers that influence the integration of SEA in SWM policy planning. The study methodology utilized a confirmatory covariance based structural equation modelling approach to validate the proposed theoretical model based on the policy makers/implementers interview questionnaire data collection. The study findings indicate five latent SEA policy drivers which were named policy knowledge, environmental attitude, perceived benefits, perceived barriers and perceived enablers. The study has conceptualized and tested a SEA policy model which indicates that SEA integration behaviour is influenced directly by three main drivers (perception of benefits, perception of barriers and perception of enablers) and influenced indirectly by two sub-drivers environmental attitude and environmental knowledge. Furthermore, the findings also suggest that the enabler driver may be the most influential in predicting SEA integration behaviour followed by barrier driver and finally the benefit driver. In conclusion, the general study implication is that it provides an empirical based framework for environmental policy integration initiatives among policy actors while the specific study proposition is that the optimal SEA policy integration pathway may require the establishment of SEA enablers such as public participation and capacity building for the formulation of a long-term sustainable strategy for SWM. (C) 2013 Elsevier Ltd. All rights reserved.
引用
收藏
页码:233 / 245
页数:13
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