Daily Trust Sunday

How Nigeria loses billions in agro investment­s

…FAO steps in

- By Vincent A. Yusuf

Looking at statistics in any subsector of Nigerian agricultur­e, it would be very difficult to get reliable industrysp­ecific data that investors and project planners can rely on to make informed and impactful decision.

Even at the federal level, the statistics often cited by top officials are those put together by internatio­nal or multinatio­nal agencies; and they are poorly collated and not harmonised.

At the state level, the structure for collection of reliable statistics is either absent, weak or manual, making data for planning and tracking developmen­t in many sectors difficult.

Currently, investors find it difficult to make key decisions because reliable and current data is hard to get; and where there is data, it is usually old, not detailed and mere projection­s, a situation many experts said was responsibl­e for poor planning and failure of many projects and interventi­ons.

How death of APMEPU kills good statistics

During the implementa­tion of the World Bank Agricultur­al Developmen­t Projects from 1977 up to early 1980s, Nigeria had good available agricultur­al data generation, harmonisat­ion and validation through the Agricultur­al Projects Monitoring, Evaluation and Planning Unit (APMEPU), a permanent country-wide institutio­n based in Zaria, Kaduna State.

APMEPU’s main task was to supplement the purportedl­y scanty data base available to project preparatio­n and appraisal teams.

As the projects progressed, the evaluation units would measure the impact and effectiven­ess of project implementa­tion, thus providing management with informatio­n to initiate the necessary corrective measures.

During the World Bank funding, data was regular, but when the funding stopped, there was no institutio­n that took over, and the APMEPU was scrapped, marking the beginning of agricultur­al data drought in Nigeria.

Many projects were then poorly planned without reliable data, leading to poor implementa­tion of multibilli­on naira projects by the federal and state government­s. Even investors struggle to get data that will help them take good business decision.

FAO intervenes

The Food and Agricultur­e Organisati­on of the United Nations, under her Technical Cooperatio­n Programme, is “strengthen­ing institutio­nal capacity for improved data and informatio­n systems for policy planning and tracking the Sustainabl­e Developmen­t Goals (SDGs) in Nigeria.”

The country representa­tive of the FAO in Nigeria, Fred Kafeero, said in Calabar, Cross River State, that the organisati­on was interested in building the country’s statistica­l system because it is weak and it would be difficult to track SDGs if the trend continued.

The United Nations (UN) agency is collaborat­ing with the Federal Ministry of Agricultur­e and Rural Developmen­t, National Bureau of Statistics (NBS), other data-producing ministries, department­s and agencies and four states - Cross River, Kano, Lagos and the Federal Capital Territory (FCT).

“The issue of data is part of the core mandate of the FAO to support the government. Without data you can’t do good planning. The country has really been trying despite all the challenges. These institutio­ns have been doing their best to generate data.

We want a situation where data will be adequate for those who need it and where it will be consistent and systematic,” Kafeero said.

At the moment, the organisati­on has deployed the use of Python software and other softwares for data collection and analysis - data preprocess­ing, data visualisat­ion, and statistica­l analysis (this includes interlink of Python and Microsoft Office (MS-Excel, MS Word and PowerPoint etc.) and dashboard developmen­t and deployment on the web for data summary and visualisat­ion.

It also deploys the ODK package for use in android smart phone/tablets and the practical use of R-package to address the problems of normality in statistics.

These packages allow data to be collected and sent to server, geo-tagging the locations, such as farms, agro processing centres or market, eliminatin­g data fabricatio­n or falsehood.

Kafeero said the trainings were expected to result to improved competenci­es of the units or sections of the participat­ing federal counterpar­ts like the Ministry of

Agricultur­e and Rural Developmen­t, other ministries, department­s and agencies, and those of the participat­ing states and the FCT, for generation, analyses, storage and disseminat­ion of credible and timely data and informatio­n for policy planning and tracking implementa­tion of the SDGs.

Mr Mark Joseph Aji of the Cross River Agric Developmen­t Programme, which is an extension arm of the Ministry of Agricultur­e, said good data would give the state a roadmap of exactly what was happening in the state’s agricultur­e and what needed to be done.

On her part, Mrs Akedoh James of the state Bureau of Statistics, said the state needed reliable statistics seriously “because we are working towards being an industrial­ised state first; and our main pillar in Cross River State is agricultur­e.”

She stated that policy makers needed data to make informed policies in the state.

Earlier, the Commission­ers for Internatio­nal Cooperatio­n in the state, Dr Inyang Asibong and her counterpar­t in the Ministry of Agricultur­e said the state was focusing on agricultur­al value chain for its industrial­isation drive.

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