Programme Poster session 4 abstract 584
Watershed based agricultural land use management for the future inter-
regional sustainable development
Author(s): For a compatible management to improve water quality and regional economic
gap
Author(s): Kiyama Shoichi
Author’s name: Kiyama Shoichi
Position: Dr., Assistant Professor, Kyoto
University
Affiliation: Division of Environmental Science and Technology, Graduate School of Agriculture, Kyoto
University
Address: Kita-Shirakawa-Oiwake-Cho, Sakyo-Ku, Kyoto City
Keyword(s): Comprehensive watershed management, water quality impact assessment, regional economic gap,
agricultural land use model, multi-regional input-output tables
Session: Poster session 4
Abstract In Japan, there’s rising
concern that the rapid depression in rural community accelerates cultivation abandonment and delay environmentally
conscious farming. Definitely the past irrigation developments such as reclamation and chemical fertilizer applications
brought us a high elevation in agricultural production while reducing the labor hours drastically. In return for this,
there has been a shift in population from the rural regions to the urban regions and we also accelerated the water
pollution and regional economic gap. Furthermore, Japan has just run into an era of a decrease in its population.
These social issues would transform the land use in rural region, which invites the vulnerability of water environment
such as the water pollution and the flood not only in rural region but also in the watershed scale. However not much
has been done to clarify the way of comprehensive management to improve both the water quality and regional
economic gap.
That’s why we are being carried out to develop a methodology to elucidate mutual mechanism
between the productivity of goods and the environmental impact relevant to eutrophication by the aid of input-output
tables in the watershed scale. However, we have not yet considered the mechanism of cultivation abandonment and
incentive for environmentally conscious agriculture and therefore we lack the understanding the feasible
comprehensive management.
The first objective of this paper is therefore to develop two farmer’s behavioral
models on the cultivation abandonment and the environmentally conscious rice farming. Integrating these models with
multi-regional input-output tables and considering the prospective future population, we evaluated the future eco-
efficiency of the COD burden and regional economic gap. Furthermore, we examined the way of agricultural land
management to ensure goods production to have a lesser impact on the environment and improve regional economic
gap.
The watershed cultivation abandonment state was evaluated by a nested logistic model consisting of a series
of GIS polygon data, i.e. population composition, industrial employment rate, topographical information including the
proximity to a station. This proposed model was successfully verified compared with observed data.
The
cultivation method is classified into five categories depending on the amount of fertilizer and pesticide used on the rice
paddies. We rationally estimated the corresponding preference model using a series of census. The corresponding
utility function was defined as the Cob-Douglas function of farming labor hours, farmer population, crude production,
subsidy and eutrophication impact.
Reflecting the predicted future cultivation abandonment state and cultivation
method in sectoral import coefficients and input coefficients of input-output tables respectively, we performed
scenario analysis for sustainable management in the watershed scale. As a result, we observed that regional
economic gap would additionally widen by the strategy to minimize the watershed COD discharge. On the other
hand, there was a scenario to maximize the total watershed production promising current eco-efficiency levels and a
fair economic growth rate due to the proper inter-regional trading. It is shown that the proposed methodology is
significant to figure out the comprehensive watershed governance process in both environmental and socio-economic
aspects.