Farmers Commend Inputs Distribution Model Adopted by NG-CARES In Jigawa
By: Ahmed Aminu, Dutse
Some leaders of Fadama Users Association in Jigawa state have expressed satisfaction with method adopted by NG-CARES in the distribution of inputs to farmers.
They said that the method was transparent and devoid of favouritism and political influence.
The farmers made this known when the Chairman of the standing committee for FADAMA CARES beneficiaries selection, Dr. Saifullahi Umar visited Arbun and Walewale villages in Auyo and Garki local government areas, respectively.
They added that there were no issues with the distribution processes for grants and interventions under the programme.
In Walewale village, the leader of the community, Malam Haruna Abdullahi advised Governor Umar Namadi to adopt the NG-CARES methods to ensure that government interventions get to genuine farmers.
“We have seen how the Fadama programme under NG-CARES has been able to reach real farmers and those who are in need of the support. If this process is adopted across all empowerment initiatives, it will bring real development to Jigawa state,” Malam Haruna said.
In Arbun village, Malam Usman Alhaji said “adopting the scientific selection process would restore public trust in government programmes.
“People feel excluded when selection is not transparent. The government should ensure that only those who truly qualify benefit from these interventions.
“The approach would enhance the effectiveness and credibility of the poverty alleviation programmes of government, and help in achieving in reducing poverty.”
In his remarks, Dr. Saifullahi explained that the NG-CARES programme, supported by the World Bank, was designed to cushion the economic effects of COVID-19 pandemic.
He said that Fadama intervention focused on enhancing agriculture and improving livelihoods.
The Chairman said that the committee used a rigorous needs assessment and scientific methods to select the beneficiaries.
He said community poverty and vulnerability ranking developed by the World Bank and random sample selection techniques were used in the selection of benefiting communities and individuals.
