Combining dynamic economic analysis and environmental impact modelling: Addressing uncertainty and complexity of agricultural development

نویسندگان

  • Heikki Lehtonen
  • Ilona Bärlund
  • Sirkka Tattari
  • Mikael Hilden
چکیده

In this study the impacts of different agricultural policies on agricultural production and nutrient leaching from agricultural lands are evaluated using the economic DREMFIA agricultural sector model and a field scale nutrient transport model ICECREAM. DREMFIA includes an evolutionary scheme of technology diffusion which considers farm investments, evolving farm size structure and technological change explicitly. The technology diffusion model allows self-inforcing patterns of technical change driven by the spread of information and farmers’ knowledge related to different technological alternatives. Hence the long-term changes in agriculture due to policy changes may be essentially larger than those predicted by traditional static equilibrium models. Larger potential for changes in production provides a larger perspective for evaluation of environmental impacts. The environmental effects are studied using the field scale nutrient transport model ICECREAM, based on the land use changes predicted by the DREMFIA model. The modelled variables are nitrogen and phosphorus losses in surface runoff and percolation. Eutrophication of surface waters is the considered environmental effect. In this paper the modelling strategy will be presented and highlighted using two case study catchments with varying environmental conditions and land use.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Optimization Model of Hirmand River Basin Water Resources in the Agricultural Sector Using Stochastic Dynamic Programming under Uncertainty Conditions

In this study, water management allocated to the agricultural sector’ was analyzed using stochastic dynamic programming under uncertainty conditions. The technical coefficients used in the study referred to the agricultural years, 2013-2014. They were obtained through the use of simple random sampling of 250 farmers in the region for crops wheat, barley, melon, watermelon and ruby grapes under ...

متن کامل

Optimal Cropping Pattern Modifications with the Aim of Environmental-Economic Decision Making Under Uncertainty

Sustainability in agricultural is determined by aspects like economy, society and environment. Multi-objective programming (MOP) model has been a widely used tool for studying and analyzing the sustainability of agricultural system. However, optimization models in most applications are forced to use data which is uncertain. Recently, robust optimization has been used as an optimization model th...

متن کامل

Modeling the Impact of Inflation Uncertainty on Food Sector Growth

Background: One of the most fundamental objectives of the macroeconomic policies is to realize the relationship between economic growth and inflation. According to some monetary policy advisors, inflation reflects erosion in consumer’s purchasing power. Inflation as an important economic variable, affect the economic growth and its impact on economic growth has been proposed in various theories...

متن کامل

Cognitive mapping concept of resource management for the viability of local communities

The local community is a complex socio-economic system, and its ability to function for an indefinitely long period of time (viability) is not investigated sufficiently today. The purpose of the research was, using the cognitive mapping, propose to the local community management developing their own management strategies to ensure its viability. Considering the weakly structured subject area of...

متن کامل

The nexus of renewable energy - sustainable development - environmental quality in Iran: Bayesian VAR approach

The use of renewable energy reduces environmental pollution and leads to achievement of sustainable development. The current study investigates the dynamic interrelationship between sustainable development, renewable and non-renewable energies and environment nexus by applying Bayesian vector autoregression (BVAR) and impulse response functions in Iran with an annual data frequency for the time...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • Environmental Modelling and Software

دوره 22  شماره 

صفحات  -

تاریخ انتشار 2007