INDICATOR-BASED EVALUATION SYSTEM FOR INCREASING SYNERGIC EFFICIENCY OF LAND RESOURCE USE
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ACADEMIC RESEARCH IN MODERN SCIENCE International scientific-online conference
Abstract
This article analyzes the issue of increasing the efficiency of land
resource use through a synergistic approach. A methodology developed on the
basis of an indicator system for assessing synergistic efficiency is presented,
which allows taking into account economic, environmental and social indicators
of land resources. As a result of practical analyses conducted in the Kashkadarya
region, the interrelationships of indicators and their synergistic effect are
determined. This system is an important tool for making strategic decisions in
sustainable land resource management
Description
Land resources are considered one of the strategic factors in
the economic, ecological and social life of mankind. Especially in countries with
an agrarian economy, the effective use of land resources plays an important role
in ensuring the country's food security, increasing employment and achieving
regional development. While traditional approaches are usually aimed at
assessing the economic efficiency of land area through separate indicators, based
on today's requirements, there is a need to assess it based on multi-factor,
interrelated indicators through a synergistic approach. Understanding the
synergistic efficiency of land resources is not only a joint analysis of the
productivity obtained from the land area, but also the level of ecological
sustainability, social benefits and technological coverage of this area. That is, the
basis of this approach is to determine the high level of benefit resulting from their
mutual harmony and joint effect, rather than the sum of individual indicators. In
this article, an indicator assessment system is developed for increasing the
efficiency of land resource use using the example of the Kashkadarya region. The
methodology aims to identify synergistic outcomes through the integration of
economic, environmental, and social indicators. The results will serve to
formulate scientifically sound approaches to integrated land resource
management and planning.
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