@article {614,
	title = {A General Micro-Level Modeling Approach to Analyzing Interconnected SDGs: Achieving SDG 6 and More through Multiple-UseWater Services (MUS)},
	year = {2017},
	abstract = {<p>The 2030 agenda presents an integrated set of Sustainable Development Goals (SDGs) and\&nbsp;targets that will shape development activities for the coming decade. The challenge now facing\&nbsp;development organizations and governments is how to operationalize this interconnected set of goals\&nbsp;and targets through effective projects and programs. This paper presents a micro-level modeling<br />
approach that can quantitatively assess the impacts associated with rural water interventions that\&nbsp;are tailored to specific communities. The analysis focuses on how a multiple-use water services\&nbsp;(MUS) approach to SDG 6 could reinforce a wide range of other SDGs and targets. The multilevel\&nbsp;modeling framework provides a generalizable template that can be used in multiple sectors. In this\&nbsp;paper, we apply the methodology to a dataset on rural water services from Mozambique to show that\&nbsp;community-specific equivalents of macro-level variables used in the literature such as Cost of Illness\&nbsp;(COI) avoided can provide a better indication of the impacts of a specific intervention. The proposed\&nbsp;modeling framework presents a new frontier for designing projects in any sector that address the\&nbsp;specific needs of communities, while also leveraging the knowledge gained from previous projects in\&nbsp;any country. The approach also presents a way for agencies and organizations to design projects or\&nbsp;programs that bridge sectors/disciplines (water, irrigation, health, energy, economic development, etc.) to advance an interconnected set of SDGs and targets.</p>
},
	url = {http://www.mdpi.com/2071-1050/9/2/314/pdf},
	author = {Ralph P. Hall and Shyam Ranganathan and Raj Kumar G. C.}
}
