Updated Apr 03, 2018

Global Challenge, PC/GDP-PC versus New Per Adult Human Unit-Method-PAHUM Evaluations of Food Security

Part of Department for International Development

PC/GDP-PC do not consider age and gender differences that causes 19.4 percentage unit error in global issues evaluations of food security but innovated PAHUM eliminates the error and the wrong distorted/distracted desicion making .

https://www.globalinnovationexchange.org
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Sumer Hasimoglu

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Snapshot

Stage 5: Scaling

PAHUM was applied and evaluated EU28/Europe demographic structure and food consumption issues for 1999/2010/2020. Like to focuses on research contributing to the development of tomorrow’s global food systems until 2050.

Focus Areas:

Nutrition, Livestock & Agriculture and Research

Nutrition, Livestock & Agriculture and ResearchSEE LESS

Problem

If we are measuring by using the wrong/error bound method/UNIT-PC/GDP-PC and/or measuring the wrong metric(s), we are going to do the wrong thing and end up with the wrong results. None of the measures proposed so far are perfect. They won't replace the current PC and GDP-PC yardstick anytime soon but innovated method PAHU that eliminates the 19.4 percentage unit error due to not considering the effect of age and gender issues on the results.

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Solution

Method deals with primarily the requirement for a standard reference individual (20-24-year-old=PAHU - Female and/or Male) Basal Metabolic Rate (BMR) are calculated for each age group 5-year-interval”- and the conversion factors were tabulated and error level (19.4 percentage unit) was illustrated with a graphic. Failure to recognize and address the problems inherent to error bound PC, “one-size-fits-all accept or reject” approach in food consumption.

Target Beneficiaries

My findings indicate that the global inconsistency problems exist not only among global institutions , due to different definitions and method assessments. Per capita (PC), adult equivalent (AE) and Conjoint Analysis Theory evaluations gives too much space for arbitrary decisions that can adversely affect the comparability of demographic statistical data, demand for goods, food consumption and the effectiveness of the, researchers and decision makers.

Mission and Vision

I



PAHU/PCgac method has impact in 11 different policy application areas of EU28 and global food issues evaluations and has many practical applications. At the end of 28-year evaluations (Published and presented at national and international congresses and journals), it was concluded that developed PAHUM = (PCgac – gender and age corrected PC) evokes innovation playgrounds of not only researchers, institutions also the decision makers of the developed and developing countries. (480 character).

Innovation Description

Method deals with primarily the requirement for a standard reference individual (20-24-year-old=PAHU - Female and/or Male) Basal Metabolic Rate (BMR) are calculated for each age group 5-year-interval”- and the conversion factors were tabulated and error level (19.4 percentage unit) was illustrated with a graphic. PAHUM do not recognize and address the problems inherent to error bound PC, “one-size-fits-all accept or reject” approach in food and other goods consumption evaluations. (487 character).

Competitive Advantage

A radical evaluation method change in global food systems is needed to meet the challenges. PAHU Method/(PCagc) (Copyright©1989) vs. PC applied to evaluate demographic structure, real consumer and past and future food consumption potential of developed (Belgium-22%<20-year) and developing (Chad-57.4%<20-year) countries (10.5 PC million each / 8.8 and 7.8 million PAHU respectively) on PC and PAHUM showed huge differences in annual grain requirements (PC-2.1 million T/each and 1.8 and 1.6 million T/PAHU) respectively. PAHUM involves systematic attempts to create awareness of 19.4 percentage unit error inherent to PC and pave the way to food - other goods consumption evaluations plus global impact of hunger and environmental issues that effect young. PAHUM was applied and evaluated EU28/Europe demographic structure and food consumption issues for 1999/2010/2020. Now it focuses on research with systems approach, contributing to the development of tomorrow’s food systems until 2050. (993-character)

Planned Goals and Milestones

“PAHUM impact potential”: PAHU focuses on research with systematic approach, contributing to the development of tomorrow’s food systems until 2050 for EU, Euro Zone and Global respectively. It has proven to eliminate inconsistencies and provides more precise organic/conventional food consumption predictions. Aim is to mprove the data validation process by providing an alternative to the current “One size fits-all’ – PC, accept or reject approach. (450-character).
Funding Goal500
New Implemented CountriesEthiopia, Chad, Canada, Belgium, United States, Russia
Recruit1 Manager, 2 Scientists and 1 Digitalization of the Method - Computer Expert and 1 Data Entry Specialist.
New FeatureResearch Area PAHUM = PCagc is ‘innovative”: It improves the data validation process by providing an alternative to the current “One size fits-all’ – PC, accept or reject approach. Innovative action: If all the food calories available in the world today were equally distributed across the projected 9 billion in 2050 & no food calories were lost between the farm and the fork. Those calories would still fall short of the FAO’s “average daily energy requirements” 2,300 kcal PC/d by more than 200 kcal PC/d. If the current rate of food loss & waste were to remain in 2050, the gap would grow to more than 900 kcal PC/d. It has been re-projected on PAHU that the gap may still be 443.8 kcal PAHU/d in 2050 not 900 kcal PC /d. It is “applicable”: It standardizes developed/developing nations or target households that will make them comparable. The “relevance”: Recent stochastic global population projections based on PC also yield wide error bounds. Our interest is in the particular dependence of the pattern of final demand on the size and structure of consuming populations expressed on UNIT. It is proven that PAHUM can be used in minimum 11 applicable different economic, social, environmental, political, demographic fields. The most importantly, its “impact potential”: PAHU focuses on research with systematic approach, contributing to the development of tomorrow’s food systems until 2050 for EU, Euro Zone and Global respectively. It has proven to eliminate inconsistencies and provides more precise organic/conventional food consumption predictions.

Milestones

May 1989
Launched

Supporting Materials

A-SUMMARY-OF-PC-VS-PAHU-RAHMANN-PROJECT.pdf
EXECUTIVE-SUMMARY-PC-vs-PAHU-METHOD-2-Re-edited-.pdf