Ukrainian Resource Database

The DB provides inputs into the model-based investigation of robust pathways increasing resource use efficiency in Ukrainian agriculture by planning agrifood systems to fulfill food security goals and to reduce stress on natural non-renewable resources. 

Spatial representation

Type:  Version 1.2 contains the data on agricultural activities, natural resources, demographic, socio-economic and environmental indicators at the national level and at the level of districts and regions in Ukraine (496 and 25, respectively)

Source of data: The data are collected from many sources. The data on demographic situation of the country, balances and consumption of the main food commodities by population of Ukraine, crop statistics of Ukraine for 2000-2010, mineral and organic fertilizers by agrarian enterprises for 2000-2010, volumes of sales and prices of basic agricultural products in the markets were derived from State Statistical Committee of Ukraine. Economic and social indicators came from the Ukrainian database “Main Economic Indicators of Agricultural Enterprises”, 2000-2010. Data on land resources and land use were assembled using information from State Agency of Land Resources of Ukraine. Other data were harmonized from available GIS data sets, data of Ministry of Agrarian Policies of Ukraine, Ministry of Finance of Ukraine, FAO, USDA, World Bank, OECD and HEIFER.

Temporal extent

Time period:   Begin:  2000                            End:  2010

Abstract

Agriculture is one of the major economic sectors of Ukraine. Production of food essentially depends on sustainable use of land resources, balances of water demand and supply, which in their turn depend on climate changes and weather related extreme events. Devastating extreme events may also be generated by failure of policies and regulations affecting decisions of various local and global players. Therefore, improving agricultural practices is of critical importance for economy, environment, and society in Ukraine. The Ukrainian resource DB is a harmonized data base being developed as a collaborative activity between IIASA and NMO institutes in Ukraine (Institute of Economics and Forecasting (IEF), Scientific Centre for Aerospace Research of the Earth Institute of Geological Sciences, Institute of Cybernetics, National Academy of Sciences, Ukraine) in the framework of IIASA – Ukrainian NMO project on “Integrated modeling of food, energy and water security for sustainable social, economic and environmental developments”  to support decision making regarding sustainable developments in Ukraine to fulfill food, water, energy security goals under scarcity of and competition for natural resources, inherent natural and anthropogenic uncertainties, economic and market instabilities, weather variability.

Purpose

The DB provides inputs into the model-based investigation (e.g. APPA model) of robust pathways increasing resource use efficiency in Ukrainian agriculture by planning agrifood systems to fulfill food security goals and to reduce stress on natural non-renewable resources (e.g., water, soil). The modeling framework allows to achieve robust short-term solutions from long-term perspectives using spatial distributional details derived from the DB rather then aggregate (average) indicators:

-          For example, recent simple analysis shows that more rational use of local natural gas sources in combination with energy saving technologies by independent producers and consumers may considerably improve future international trade flows and food, energy and water security in Ukraine.

-          While existing aggregate models easily demonstrate that an irrigation system may significantly improve food supply, more detailed analysis shows that this system may turn out to be unprofitable even in dry seasons depending on food production plans, water and energy supply costs (prices).

In particular, the DB permits to compute the following main inputs into the decision-making framework: production costs, environmental (resource) constraints, rural-urban socio-economic and demographic indicators, etc. The spatial resolution of the data allows to identify geographical heterogeneities among producers and consumers while temporal resolution permits proper analysis of inherent uncertainties in demand, production, weather variability, market conditions.

The DB is being complied to fulfill the following requirements:

  1. To systematize available data and improve data quality
  2. To validate downscaling procedures developed at IIASA
  3. To allow analyses of driving forces of threats and robust indicators of food-energy-water security inUkraine
  4. To be used in a multi-objective stochastic optimization model(s) for evaluating robust solutions ensuring secure food, energy and water supply under uncertain threats

Methodology/ Data generation

The data is being collected from various sources and harmonized at the level of Ukrainian districts and regions (496 and 25, respectively) to support geographically detailed model-based analysis of sustainable development paths and interactions between Ukrainian rural-urban areas.

Application

The DB has been used in recent studies of mechanisms for land pricing in Ukraine (Yarovyy et al. 2008), in the analysis of food security and rural-urban interactions (Borodina et al. 2010); for estimating the role of agricultural trade quotas (Kyryzyuk 2010; Kyryzyuk  et al. 2011); for the analysis of agricultural land market policies (Frayer 2011); etc.

Data access

http://www.iiasa.ac.at/Research/LUC/

   

The dynamics of arable land expansion and main production commodities by Ukrainian regions, 2004-2009. Source: database “Main Economic Indicators of Agricultural Enterprises”, 2004-2009


Figure: The dynamics of arable land expansion and main production commodities by Ukrainian regions, 2004-2009. Source: database “Main Economic Indicators of Agricultural Enterprises”, 2004-2009.

Key references: 

[1] Borodina, O., Borodina, E., Ermolieva, T., Ermoliev, Y., Fischer, G., Makowski, M., van Velthuizen, H. (2010): Integrated modeling approach to the analysis of food security and sustainable rural developments: Ukrainian case study. IIASA Interim Report IR-10-017, Int. Inst, for Applied Systems Analysis, Laxenbburg, Austria.

[2] Ermoliev Yvon Winterfeldt D  (2012). Systemic risk and security management. In: Managing Safety of Heterogeneous Systems, Y. Ermoliev, M. Makowski, K. Marti (eds), Springer-Verlag, Heidelberg, Germany, 19-49.

[3] Ermoliev Y, von Winterfeldt D (2010). Risk, Security and Robust Solutions. IIASA Interim Report IR-10-013 [December 2010, 41 pp].

[4]  Frayer, A. (2011) Agricultural production intensification in Ukraine: Decision support of agricultural policies based on the assessment of ecological and social impacts in rural areas. IIASA Interim Report IR-11-033, Int. Inst, for Applied Systems Analysis, Laxenbburg, Austria.  

[5] Kyryzyuk, S., Ermolieva, T., Ermoliev, Y. (2011) Planning sustainable agroproduction for food security under risks, Economics of Agriculture, 9, 145-151 (in Ukrainian).

[6]  Yarovyy V, Fischer G, Ermolieva T (2008). Land pricing mechanisms for sustainable agricultural land use planning in Ukraine. EUROPA XXI: New Functions of Rural and Industrial Space in Central and Eastern Europe, 17:109-119 [2008].

[7]    Kiczko, A., Ermolieva, T. (2011) Multi-criteria decision support system for Siemianowka reservoir under uncertainties. In: Marti, K., Ermoliev, Y., Makowski, M. (Eds.), Coping with Uncertainty: Robust Solutions. Springer Verlag, Berlin.

Use limitation

Citation: Ukrainian Resource Data Base. 



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Last edited: 22 July 2013

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Tatiana Ermolieva

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Ecosystems Services and Management

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