id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
bae-14790	Mantziaris, Stamatis; Rozakis, Stelios; Karanikolas, Pavlos; Petsakos, Athanasios; Tsiboukas, Konstantinos	Simulating farm structural change dynamics in Thessaly (Greece) using a recursive programming model	2024	34	.pdf	application/pdf	24520	1019	48	Structural changes are gradually built; therefore, farm decision models should consider the sequences within the period under study. Alternatively, farm viability can be defined accord- ing to a combination of monetary value and socio-eco- Initial conditions : Number of neighboring surviving farms, farm size distribution, available arable land at farm level, available circulating capital at farm level, capital stock at farm level, borrowed capital at farm level Farm-level data (Field survey) Farm-level optimization model : Expected Farm Gross Profit maximization under resource, policy and flexibility constraints Farm agents' expecations Quasi-rational agents’ expectations for prices and crop yields OR Naive agents’expecations for prices and quasi-rational agents’ expectations for crop yields Out-of-sample simulations ARIMA models: Forecasting values of costs, prices, crop yields,interest rate, total arable land, and total circulating capital Linear trend model: Forecasting value of living expenditures index Farm viability algorithm: i) Optimal Farm Net Profit After Tax ≥ Simulated Societal Consumption Benchmark of neighboring farms AND ii) Optimal Farm Growth in Equity ≥ 0 Number of neighboring surviving farms Farm size distribution Share of farmland by farm size classes Regional land use change dynamics Economic performance by farm size classes Environmental impact assessement Re-initialization of resources & farm firm growth rules of surviving farms: -Endogenous Feedback Mechanism (EFM) for resources (land, circulating capital)	cache/bae-14790.pdf	txt/bae-14790.txt