Open Access
Issue
E3S Web Conf.
Volume 52, 2018
CSSPO International Conference 2018: Towards Inclusive & Sustainable Agriculture – Harmonizing Environmental, Social and Economic Dimensions: Is it Possible?
Article Number 00019
Number of page(s) 15
DOI https://doi.org/10.1051/e3sconf/20185200019
Published online 27 August 2018
  1. A. Aleme, and Z. Lemma, Contribution of Livestock Sector in Ethiopian Economy: A Review, Advances in Life Science and Technology, 23, 1-13 (2015) [Google Scholar]
  2. A. Ali, & M. Khan, Livestock ownership in ensuring rural household food security in Pakistan, J Anim Plant Sci, 23(1), 313-8 (2013) [Google Scholar]
  3. A. B. Johannesen, & A. Skonhoft, Livestock as insurance and social status: Evidence from reindeer herding in Norway, Environmental and resource economics, 48(4), 679-694 (2011) [CrossRef] [Google Scholar]
  4. A. Field, Discovering statistics using SPSS. 2nd eds (Sage Publications, London, 124-189, 2005) [Google Scholar]
  5. A. I. Abdelrahman, Applying logistic regression model to the second primary cancer data http://interstat.sta2010/articles/1001006.pdf. Searched on 30-12-2010 (2010) [Google Scholar]
  6. A. M. McSweeney, & C. Raish, Social, cultural, and economic aspects of livestock ranching on the Santa Fe and Carson National Forests, Rocky Mountian Research Station, Forest Service, US Department of Agriculture (2012) [Google Scholar]
  7. A. Rehman, L. Jingdong, A. A. Chandio, & I. Hussain, Livestock production and population census in Pakistan: Determining their relationship with agricultural GDP using econometric analysis, Information Processing in Agriculture, 4(2), 168-177 (2017) [CrossRef] [Google Scholar]
  8. A. Siddiqui, Economic Developments in the age of Globalization Sharpe Reference, a, b, c, India and South Asia, 419 (2006) [Google Scholar]
  9. AKRSP, An assessment of socio economic trend and impact in Northern Areas (1991-1997): Findings from AKRSP’s farm household income and expenditure survey Gilgit, Aga Khan Rural Support Program (2000) [Google Scholar]
  10. B. J. Gentner, & J. A. Tanaka, Classifying federal public land grazing permittees, Journal of Range Management, 2-11 (2002) [CrossRef] [Google Scholar]
  11. C. R. Kothari, Research Methodology: Methods and Techniques. Second Edition (Washwa Prakashan Pub, New Delhi, India, 1990) [Google Scholar]
  12. D. Asteriou, & S. G Hall, Applied econometrics (Palgrave Macmillan, New York, 2011) [Google Scholar]
  13. D. N. Gujarat, (2005). Basic Econometrics. Fourth Edition (Mc. Graw hill Inc, New York, 2005) [Google Scholar]
  14. D. N. Gujarati, Basic Econometrics, Third edition (McGraw-Hill Inc, New York, 1995) [Google Scholar]
  15. D. N. Gujarati, Basic Econometrics, 4th edition (The McGraw-Hill Companies, New York, 2004) [Google Scholar]
  16. DAAF. (2012). The framework for the Zero Hunger Programme. Actuating The irrigated food security strategy for South Africa, Department of Agriculture, Forestory and Fisheries (DAAF), South Africa. [Google Scholar]
  17. F. F. Shugri, Dimensions and Determinants of Poverty in Agro-Pastoral Households of Kabribayah District, Fafan Zone, Somali Regional State, Ethiopia (Doctoral dissertation, Haramaya University, Haramaya) (2016) [Google Scholar]
  18. F. J. C. Swanepoel, A. Stroebel, & E. Nesamvuni, Key Functions of livestock in Smallholder Farming Systems: A South African Case Study, Animal Production Australia, 24, 237-240 (2002) [Google Scholar]
  19. F. Swanepoel, A. Stroebel, & S. Moyo, The role of livestock in developing communities: Enhancing multifunctionality. University of the Free State and CTA (2010) [Google Scholar]
  20. FAO. (2006). Livestock’s Long Shadow, released by the Food and Agriculture Organization of the United Nations. [Google Scholar]
  21. FAO. (2009). The State of Food and Agriculture Livestock in Balance, http://www.fao.org/docrep/012/i0680e/i0680e.pdf, accessed 21.02.14. [Google Scholar]
  22. FAOSTAT. (2013). Statistical database of the Food and Agriculture Organization of the United Nations. http://faostat3.fao.org/. [Google Scholar]
  23. G. Mudzielwana, Determinants of cattle ownership and herd size in Vhembe District of Limpopo Province, South Africa (Doctoral dissertation, University of Limpopo) (2015). [Google Scholar]
  24. G. S. Maddala, Introduction to Econometrics.Third edition. (Wiley India Ltd. p. 316-332, India, 2007) [Google Scholar]
  25. G. Semer, Dimension and Determinants of rural household Poverty: The Case of Eastern Zone in Tigray National Regional State, An MSc Thesis Presented to the School of Graduate Studies of Haramaya University, Haramaya (2008). [Google Scholar]
  26. G.S. Maddala, Limited Dependent and Qualitative Variables in Econometrics (Cambridge University Press, 1989). [Google Scholar]
  27. GoP. (2016-17). Over view of the economy.Ministry of Finance. http://www.finance.gov.pk/survey/chapters_17/overview_2016-17.pdf.10-11. [Google Scholar]
  28. J. Clemens, Human and economic issues associated with livestock production. Livestock, Fodder, Pastures and People: An Integrated Study in the Northern Areas of Pakistan, International Centre for Integrated Mountain Development, Kathmandu, Nepal, 35-56 (2005) [Google Scholar]
  29. J. H. Aldrich, & F. D. Nelson, Linear probability, logit, and probit models (Vol. 45) (Sage, 1984). [CrossRef] [Google Scholar]
  30. J. Klugman, A Sourcebook for Poverty Reduction Strategies: Volume 2: Macroeconomic and Sectoral Approaches (World Bank, Washington DC, 2002) [Google Scholar]
  31. J. M. Kandulu, B. A. Bryan, D. King, & J.D. Connor, Mitigating economic risk from climate variability in rain-fed agriculture through enterprise mix diversification, Ecological economics, 79, 105-112 (2012) [CrossRef] [Google Scholar]
  32. L. De Haan, & A. Zoomers, Development geography at the crossroads of livelihood and globalization, Tijdschriftvooreconomischeensocialegeografie, 94(3), 350-362 (2003) [Google Scholar]
  33. L.H. Dossa, B. Rischkowsky, R. Birner, & C. Wollny, Socio-economic determinants of keeping goats and sheep by rural people in southern Benin, Agriculture and human values, 25(4), 581 (2008) [CrossRef] [Google Scholar]
  34. L.W Bell, & A. D. Moore, Integrated crop-livestock systems in Australian agriculture: Trends, drivers and implications, Agricultural Systems 111, 1-12 (2012) [CrossRef] [Google Scholar]
  35. M. A. Iqubal, Role of livestock husbandry on rural transformation in north india: a case study, Revijazageografijo 5(2), 83-94 (2010). [Google Scholar]
  36. M. Abdikadir, Dimensions and Determinants of Poverty in Agro-Pastoral Households of Jigjiga District, Somali National Regional State, Ethiopia. An MSc Thesis Presented to the School of Graduate Studies of Haramaya University, Haramaya, (2013) [Google Scholar]
  37. M. Hilina, Dimensions and determinants of poverty in pastoral areas of Eastern Ethiopia: The case of Shinile zone in Somali national regional state. An MSc Thesis, Haramaya University, Ethiopia, 125 (2005) [Google Scholar]
  38. M. I. Meltzer, Livestock in Africa: The economics of ownership and production, and the potential for improvement, Agriculture and Human Values, 12(2), 4-18 (1995). [CrossRef] [Google Scholar]
  39. M. Jodlowski, A. Winter-Nelson, K. Baylis, & P. D. Goldsmith, Milk in the data: food security impacts from a livestock field experiment in Zambia, World Development, 77, 99-114 (2016) [CrossRef] [Google Scholar]
  40. M. M. Islam, S. Anjum, R.J. Modi, & K. N. Wadhwani, Scenario of livestock and poultry in india and their contribution to national economy. International Journal of Science, Environment and Technology, 5(3), 956-65 (2016). [Google Scholar]
  41. O. A. Omotesho, A Gender Analysis of Poverty among Rural Farming Households in North Central Nigeria, European Journal of Social Science, 28(3), 366-376 (2012) [Google Scholar]
  42. P. R. Lawrence, W. R. Meghan, K.A. Debra, & A. D Teresa, Importance of Animals in Agricultural Sustainability and Food Security, 1-3 (2015). [Google Scholar]
  43. Pirwahab, Livestock and Rural Livelihood in Pindsultani, Attock. The Exployer, Journal of Social Sciences, 1(2), 51-53 (2015). [Google Scholar]
  44. R. S. Pindyck, & D. L. Rubinfeld, Econometric Models and Economic Forecasts, (McGraw-Hill Book Co., New York, 1981). [Google Scholar]
  45. S. L. Jackson, Research Methods and Statistics: A Critical Thinking Approach volume 3. (Belmont, CA, Wadsworth, 2009). [Google Scholar]
  46. S. Reist, F. Hintermann, & R. Sommer, The livestock revolution: An opportunity for poor farmers. Funded by Swiss Agency for Development and Cooperation. Switzerland, 1-1 (2007) [Google Scholar]
  47. T. Amemiya, Qualitative response models: A survey. Journal of economic literature, 19(4), 1483-1536 (1981). [Google Scholar]
  48. T. Liao, Interpreting Probability Models: Logit, Probit, and other Generalized Linear Models. Sage University Paper Series on Qualitative Application in the Social sciences. Thousand Oaks. CA: (Sage, 1994) [Google Scholar]
  49. T. Serik, K. Musabekov, A. Yesbolova, S. Ibraimova, A. Mergenbayeva, Z. Sabdenova, & M. Seidahmetov, Issues in the Development of the Livestock Sector in Kazakhstan. Procedia-Social and Behavioral Sciences, 143, 610-614 (2014) [CrossRef] [Google Scholar]
  50. T. Yamane, Statistics, An Introductory Analysis,volume no.2, (Harper and Row, New York, 1967) [Google Scholar]
  51. UNDP, Livestock-based Micro-enterprise and Its Effectiveness on Poverty Reduction: A Study in Hansposa VDC of Sunsari District, 3: 8 (2013) [Google Scholar]
  52. V. Alary, C. Corniaux,, & D. Gautier, Livestock’s contribution to poverty alleviation: How to measure it?. World Development, 39(9), 1638-1648 (2011) [CrossRef] [Google Scholar]
  53. W. H. Green, Econometrics Analysis.Fifth Edition. (Dorling Kindersley, India, 2003) [Google Scholar]
  54. WB, World Bank prepared a book entitled, Livestock Development: Implication for Rural Poverty, the Environment and Global Food Security (2001) [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.