Prof. Dr. Zoltán Károly Lakner - MATE Research
Overview
Dr. Zoltán Lakner investigates the application of dynamic system theory in analysis, planning, management and control of large-scale food supply networks, focussing on Africa and Central-Asia. Wide range of experiences in big-data based modelling of complex socio-economic systems by state-of-art methods of statistics, ecomometrics and artificial intelligence. Quantitative, data-driven agricultural and food policy analysis. Discrete-time and agent-based modelling of logistical food supply chains. Application of game-theory in analysis of social barganing processes and open source intelligence (OSINT) tools in research and innovation policy.
Research keywords:
Publications
Agrciultural economics
Confidence in organic food: a cross-country choice based conjoint analysis of credibility factors
Environmental, Health or Social Impacts? Investigating Ethical Food Consumption Behavior in the Case of Palm Oil-Free Foods
Food policy analysis
Why Organic Food? Factors Influence the Organic Food Purchase Intension in an Emerging Country (Study from Northern Part of Bangladesh)
Measuring athletes’ perception of the sport nutrition information environment: The adaptation and validation of the diet information overload scale among elite athletes
Impact of economic globalisation on agriculture in developing countries: A review
Econometrics in agro-food policy analysis
The impact of Covid-19 and Russia–Ukraine war on the financial asset volatility: Evidence from equity, cryptocurrency and alternative assets
Comparing the effect of climate change on agricultural competitiveness in developing and developed countries
The Impact of Water Resources Tax Policy on Water Saving Behavior
Global food supply chains
The effect of bioenergy expansion: Food, energy, and environment
Global Challenges and Responses: Agriculture, Economic Globalization, and Environmental Sustainability in Central Asia
Big data in policy analysis
Bibliometric Analysis of Green Finance and Climate Change in Post-Paris Agreement Era
Reconstruction Rating Model of Sovereign Debt by Logical Analysis of Data
Projects
SafeConume project (Horizont 2020 project)
SafeConsume is a H2020 research and innovation action aiming to help European consumers to avoid foodborne illness. The most risky consumer kitchen practices were identified and new strategies for reducing risk developed. To improve people’s knowledge and skills, educational materials for teenagers and a food safety game were developed and scientifically proven for changing behaviour. Aiming to make it easier to prepare and store food safely, prototype tools for cooling food, maintaining hygiene, washing vegetables, and measuring remaining shelf life were created and tested.
