Thesis Open Access

FARMERS WILLINGNESS TO PAY AND CHOICE OF SMALLHOLDER WATER LIFTING TECHNOLOGIES: EVIDENCE FROM ADAMI TULU, LEMO AND DANGELA WEREDAS, ETHIOPIA.

MENEYAHEL ZEGEYE TESFAYE


MARC21 XML Export

<?xml version='1.0' encoding='UTF-8'?>
<record xmlns="http://www.loc.gov/MARC21/slim">
  <leader>00000nam##2200000uu#4500</leader>
  <datafield tag="980" ind1=" " ind2=" ">
    <subfield code="a">user-amube</subfield>
  </datafield>
  <datafield tag="980" ind1=" " ind2=" ">
    <subfield code="a">user-amu</subfield>
  </datafield>
  <datafield tag="980" ind1=" " ind2=" ">
    <subfield code="a">user-nadre</subfield>
  </datafield>
  <datafield tag="650" ind1="1" ind2="7">
    <subfield code="a">cc-by</subfield>
    <subfield code="2">opendefinition.org</subfield>
  </datafield>
  <datafield tag="260" ind1=" " ind2=" ">
    <subfield code="c">2015-06-01</subfield>
  </datafield>
  <datafield tag="542" ind1=" " ind2=" ">
    <subfield code="l">open</subfield>
  </datafield>
  <datafield tag="520" ind1=" " ind2=" ">
    <subfield code="a">This paper analyzes the farmers’ willingness to pay (WTP)  and demand  for the  smallholder 
water  lifting  technologies  (SWLTs).  The  study  employed  Contingent  valuation  method 
(CVM),  and  212  farmers’  were  selected  based  on  multi-stage  sampling  technique  from 
three  weredas,  Adami  Tulu,  Lemo  and  Dangela.  The  selected  sample  households  were 
asked a contingent valuation question using a double bounded elicitation with open ended 
follow up question. To examine the determinants of WTP  and to compute the mean WTP 
for the  SWLTs, probit and bivariate probit model were used. Using multinomial logit model 
determinants of demand  for the SWLTs namely, motor pump, rope and washer and pulley
were also examined.  The probit model result shows that household  size, household income, 
initial  bid  values,  access  to  credit,  access  to  market,  off-farm  activity  and  land  size 
significantly  affect  the  probability  of  the  households’  WTP  for  the  SWLTs.  From  the 
bivariate  probit  model,  the  computed  mean  WTP  for  the  SWLTs  using  double  bounded 
elicitations (DBE) are 18,575, 4,497.7 and 1,709 birr for motor pump, rope and washer 
and  pulley  respectively.  The  computed  open  ended  elicitation  mean  WTP  values  are 
15,226.70,  3,452.31and  1,218.33  birr  for  motor  pump,  rope  and  washer  and  pulley 
respectively. Likewise, the total WTP for motor pump, rope and washer and pulley from the 
DBE method is 14,265,600, 4,889,000 and 948,495 birr respectively. The total WTP for 
motor  pump,  rope  and  washer  and  pulley  from  open  ended  elicitation  is  11,694,083, 
3,752,661 and 676,173.15 birr respectively.  The multinomial logit model result  shows that, 
sex of the household head, credit access, household income, off-farm activity, access to 
market, quality of soil, ownership mode, agro-ecological zone and land size are found to 
be  significant in affecting the probability of the households’  demand for the  SWLTs. The 
main findings of this paper is that farmers’ are willing to pay for the SWLTs. But, the level 
of WTP and choice of technology is contingent upon and different from location to location. 
The DBE  resultk2  shows that market price of rope and washer and motor pump lies between 
farmers’ upper and lower range of WTP bound  but farmers’ are more willing to pay for 
pulley higher than what the existing market reveals.  Also, the mean values obtained from 
the open ended elicitation is lower than  the values from the double bounded elicitation. 
Thus, policy makers should be careful on the selection of the elicitation technique to elicit 
the farmers’ WTP. Moreover, the comparative analysis between  male and female headed 
household shows that females are less willing to pay for the SWLTs.</subfield>
  </datafield>
  <datafield tag="245" ind1=" " ind2=" ">
    <subfield code="a">FARMERS WILLINGNESS TO PAY AND CHOICE OF SMALLHOLDER  WATER LIFTING TECHNOLOGIES: EVIDENCE FROM ADAMI TULU,  LEMO AND DANGELA WEREDAS, ETHIOPIA.</subfield>
  </datafield>
  <datafield tag="024" ind1=" " ind2=" ">
    <subfield code="a">10.20372/nadre:1554185441.64</subfield>
    <subfield code="2">doi</subfield>
  </datafield>
  <datafield tag="980" ind1=" " ind2=" ">
    <subfield code="a">publication</subfield>
    <subfield code="b">thesis</subfield>
  </datafield>
  <controlfield tag="001">3062</controlfield>
  <datafield tag="100" ind1=" " ind2=" ">
    <subfield code="a">MENEYAHEL ZEGEYE TESFAYE</subfield>
    <subfield code="u">Arbaminch University</subfield>
  </datafield>
  <controlfield tag="005">20190903142647.0</controlfield>
  <datafield tag="041" ind1=" " ind2=" ">
    <subfield code="a">eng</subfield>
  </datafield>
  <datafield tag="540" ind1=" " ind2=" ">
    <subfield code="u">http://www.opendefinition.org/licenses/cc-by</subfield>
    <subfield code="a">Creative Commons Attribution</subfield>
  </datafield>
  <datafield tag="856" ind1="4" ind2=" ">
    <subfield code="s">2084819</subfield>
    <subfield code="u">https://nadre.ethernet.edu.et/record/3062/files/thesismeneyahelfinal.pdf</subfield>
    <subfield code="z">md5:4c4e36333825526fd9cd48483de12353</subfield>
  </datafield>
</record>
0
0
views
downloads
All versions This version
Views 00
Downloads 00
Data volume 0 Bytes0 Bytes
Unique views 00
Unique downloads 00

Share

Cite as