@uog.edu.et
College of Agriculture and Environmental Sciences
University of Gondar
The abundance of agricultural waste (AW) production following rapid population growth and resource constraints has created an urgent need for sustainable agricultural waste management (AWM) for the welfare of rural society. In Ethiopia, open burning of biomass is common practice after harvest and in household cooking, and smoke and improperly discarded AW are also major problems. However, compared with municipal waste management, AWM is poorly addressed. In this study, we seek to assess the current AWM status, farmers’ willingness to pay (WTP), and the factors affecting WTP for ecofriendly AWM in the Mirab Gojjam, Amhara region of Ethiopia, which has not been studied previously. Data were collected through a contingent valuation survey of 353 randomly selected farmers in early spring 2018. We offered labour days and money as a payment vehicle. The mean annual WTP is 6.84 labour days (eq 273.50 Birr) and 8.20 Birr in monetary value, respectively. The strongly significant
An integrated model combining multi-layer cradle to cradle approach: cost effective, technically sound, and bioenvironmental cutting-edge agricultural waste assessment technologies are lacking; to address this gap, the study proposes circular agriculture model (CAM) to support an integrated, bio-based, sustainable and broadly applicable rural society. CAM is an innovative, quasi-public product, bio-commodity, and concept. This study uses survey data on the Chinese province of Hubei to consider the returning of crop residues to the soil and manure for compost or biogas production (first-generation biorefinery). It explores farmers’ environmental understanding and their willingness to pay (WTP) under a “polluter pays” principle. Factors, including education, infrastructure, trust in family-neighbors, and environmental attitudes, have a significant effect on WTP. Moreover, income, sustainability-recycling behavior, environmental perception, perceived usefulness-easiness, and trust-in-gove
Scopus Publications
Scholar Citations
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Shengze Qin, Jia Guo, Haimanot B Atinkut, and Chongjun Yang
ACM
Based on the China Household Tracking Survey 4-period tracking data from 2012-2018, this paper measures the poverty vulnerability of Chinese farm households using the VEP method, and then constructs driving variables as proxy variables for precise poverty alleviation policies, measures their policy effects using fuzzy breakpoint regression, and tests the continuity and breakpoint regression validity of the driving variables, and finds that (1) in terms of time, the incidence of poverty vulnerability among Chinese farm households shows an overall decreasing trend except for a small increase in 2016, and by 2018, there are still 10.11% of farm households located in a state of vulnerability under the $1.3 poverty line; under different poverty lines, the average poverty vulnerability index shows a decreasing trend in recent years. (2) In terms of regional dimensions, the poverty vulnerability of Chinese farm households is highest in the west, followed by the central region, and lowest in the east. Compared with the east and central regions, rural residents in the west are more likely to fall into poverty in the future, and there are large differences in the depth of poverty in different regions. (3) The fuzzy breakpoint regression model found that the poverty alleviation policy significantly reduced the poverty vulnerability of rural households, and the regression results passed the continuity test of the driving variables and the breakpoint regression validity test.
Mekuanent Tebkew and Haimanot B. Atinkut
Elsevier BV
Berhanu G. Sinshaw, Abreham M. Belete, Belachew M. Mekonen, Tesgaye G. Wubetu, Tegenu L. Anley, Wolelaw D. Alamneh, Haimanot B. Atinkut, Abay A. Gelaye, Tenaw Bilkew, Agumase K. Tefera,et al.
Elsevier BV
Shegaw Y. Birhanu, Mamaru A. Moges, Berhanu G. Sinshaw, Agumase K. Tefera, Haimanot B. Atinkut, Habtamu M. Fenta, and Mulatu L. Berihun
Elsevier BV
Berhanu G. Sinshaw, Abreham M. Belete, Belachew M. Mekonen, Tesgaye G. Wubetu, Tegenu L. Anley, Wolelaw D. Alamneh, Haimanot B. Atinkut, Abay A. Gelaye, Tenaw Bilkew, Agumase K. Tefera,et al.
Elsevier BV
Agumase K. Tefera, Abraham Bayeh Wassie, Berhanu G. Sinshaw, Dessalew T. Defersha, Tesfahun Aleka Takele, Simir Birhan Atanaw, Aniley T. Tesfaye, Edmealem Getu, Habtamu M. Fenta, Haimanot B. Atinkut,et al.
Elsevier BV
Yadeta Saketa Kebede, Nega Tamene Endalamaw, Berhanu G. Sinshaw, and Haimanot B. Atinkut
Elsevier BV
Haimanot B. Atinkut, Tingwu Yan, Fengyi Zhang, Shengze Qin, Hao Gai, and Qiqi Liu
Springer Science and Business Media LLC
AbstractAn integrated model combining multi-layer cradle to cradle approach: cost effective, technically sound, and bioenvironmental cutting-edge agricultural waste assessment technologies are lacking; to address this gap, the study proposes circular agriculture model (CAM) to support an integrated, bio-based, sustainable and broadly applicable rural society. CAM is an innovative, quasi-public product, bio-commodity, and concept. This study uses survey data on the Chinese province of Hubei to consider the returning of crop residues to the soil and manure for compost or biogas production (first-generation biorefinery). It explores farmers' environmental understanding and their willingness to pay (WTP) under a “polluter pays” principle. Factors, including education, infrastructure, trust in family-neighbors, and environmental attitudes, have a significant effect on WTP. Moreover, income, sustainability-recycling behavior, environmental perception, perceived usefulness-easiness, and trust-in-government positively affect farmers’ WTP, whereas environmental attitude, intention, and selfishness have a negative effect. It, therefore, calls for the integration and cooperation of private, government, business, R&D and public welfare to value the combined rural traditions, religion, philosophy and belief, socio-psychological and altruistic values of local communities, which are essential for building trust and providing ecological security, tech spill-over, thereby indirectly helping farmers to restore their livelihoods.
Haimanot B. Atinkut, Tingwu Yan, Yibeltal Arega, and Muhammad Haseeb Raza
Elsevier BV
Enguday Bekele, Seifu Tilahun, Abebech Beyene, Sisay Asres, Berhanu Geremew, and Haimanot Atinkut
Springer International Publishing
Agumase T. Kindie, Temesegen Enku, Mamaru A. Moges, Berhanu S. Geremew, and Haimanot B. Atinkut
Springer International Publishing