Environmental Analysis Through Use of Household Characteristics and Socio-economic Data in Central Butana Region of Eastern Sudan
Many methods are used in environmental analysis. Each method has its own merits and pitfalls. This paper aimed to apply household characteristics and socioeconomic data in environmental analysis in Central Butana of Eastern Sudan. Two hundred respondents were randomly selected from Elssadda area which consists of 4 villages namely, Central Elssadda, Elhilla, Wad elbahi and Elsaadonab. The primary data were collected through a comprehensive questionnaire. Data were analyzed using SPSS software and method of descriptive statistics. Many household characteristics and their link to the environment were highlighted in this paper; these included occupation of the head of household, household building material, household assets, size of farm holdings, cropping system and method of land preparation. A proxy was used to reflect land degradation. The most important results were that most inhabitants depended on the local environment for their livelihoods. The majority of population lives in nondurable households. They were small-scale farmers and Sorghum monocultures. As compared to the few recent decades, 55% of the surveyed households buy milk for family consumption indicating degradation of the range land. The paper concluded the undertaking of further studies to capture other variables not included in the paper, as a new trend in environmental analysis, and adopt measures to mitigate climate change hazards which threaten the local environment.
Environmental Analysis, Household Characteristics, Socio-economic, Butana
Annemarie C. Kerkhof, Sanderine Nonhebel and Henri C. Moll. 2009. Relating the environmental impact of consumption to household expenditures: An input-output analysis. ECOLOGICAL ECONOMICS 68 (2009) 1160–1170. www.elsevier.com/locate/ecolecon.
Carvalho, S. and White, H. 1995. Performance Indicators to Monitor Poverty Reduction. Education and Social Policy Department: World Bank Discussion paper 254.
Cinderby, S. Huby, M. and Owen, A. 2007. Reconciling socio-economic and environmental data in a GIS context: An example from rural England. Department of Social Policy & Social Work and the Stockholm Environment Institute, University of York, Heslington York YO10 5DD, UK.
Cohen, C., Lenzen, M., Schaeffer, R., 2005. Energy requirements of households in Brazil. Energy Policy 33, 555–562.
DETR. 2000. Our countryside: The future. A fair deal for rural England. Cm 4909. London: Department for Environment, Transport and the Regions.
FAO 1990b. Satellite remote sensing in support of early warning and food information systems. Annex 7.
Guzman J. M. 2009. The Use of Population Census Data for environmental Analysis. UNFPA, IIED in collaboration with the population division and UN habitat. Expert group meeting on population dynamics and climate change 2425, 2009, London, UK.
Mustafa, A. S. 2004. Early warning and food information systems for disaster management – a critical evaluation of the Sudanese experience. Journal of peace and development research. Vol. (4). Centre for peace and development studies. University of Juba.
United Nations. 2008. Millennium Development Goals (MDGs).
Weber, C. L., Matthews, H. S., 2008. Quantifying the global and distributional aspects of American household carbon footprint. Ecological Economics 66, 379–391.
Wier, M., Lenzen, M., Munksgaard, J., Smed, S., 2001. Effects of household consumption patterns on CO2 requirements. Economic Systems Research 13, 259–274.
Winter, M., & Rushbrook, L. 2003. Literature review of the English rural economy. Exeter: DEFRA, ESRC and the Countryside Agency.