German Bank to Spend 10 Million Euros for Development of KPK’s Districts
2 months ago
KfW, the German Development Bank, has signed an agreement with Pakistan Poverty Alleviation Fund (PPAF) to provide financing of 10 million Euro for the development schemes in districts, tehsil and villages of Khyber Pakhtunkhawa that will involve construction of physical infrastructure, disaster management and climate adaptation aspects.
This grant is the part of bilateral government consultations on development cooperation between the Islamic Republic of Pakistan and the Federal Republic of Germany that were held in September 2015.
The project has been named as Livelihood Support and Promotion of Small Community Infrastructure Programme (LACIP) Phase II that will be executed in three years time for the contribution of development and livelihood improvement in districts, tehsils and villages of KPK.
The LACIP Phase I is expected to complete by December 2017. The program has been designed to support the decentralization reforms in selected districts of Khyber Pakhtunkhwa.
In this regard, The Pakistan Poverty Alleviation Fund (PPAF) signed a contract with KfW, the German Development Bank for LACIP.
This programme is expected to build public physical infrastructure schemes inclusive of disaster management and climate adaptation aspects that will be rehabilitated, enhanced and/or (re-) constructed. Similarly for enhancing livelihood development, skills training and related asset transfer would be implemented on a group-based approach.
The beneficiaries of this programme will be mobilized and organized in a variety of groups and institutional development with focus on integrated village development in collaboration with local government.
The LACIP Phase II will be operational in selected areas of three districts of KPK i.e Shangla, Buner and Lakki Marwat. The partner organizations in this phase will set up development plans adopting the participatory approach in consultation with beneficiaries of village/neighborhood councils on which specific measures will be identified and prioritized.