Bio-based and Applied Economics 2020-03-02T12:14:02+00:00 Daniele Moro Open Journal Systems <p><em>Bio-based and Applied Economics</em> is a free-access on-line journal promoted by the Italian Association of Agricultural and Applied Economics (AIEAA). Although mainly devoted to scholars and well established researchers BAE also encourages submissions by young researchers, teams involved in ongoing research projects and also relevant actors in the field of bio-economy and related public policies. BAE publishes contributions on the economics of bio-based industries, such as agriculture, forestry, fishery and food, dealing with any related disciplines, such as resource and environmental economics, consumer studies, regional economics, innovation and development economics.</p> The future of Bio-Based and Applied Economics 2020-03-02T12:14:02+00:00 Daniele Moro Gaetano Santeramo Davide Viaggi <p>AAVV</p> 2020-02-24T08:23:28+00:00 Copyright (c) 2020 Daniele Moro, Gaetano Santeramo, Davide Viaggi How did farmers act? Ex-post validation of linear and positive mathematical programming approaches for farm-level models implemented in an agent-based agricultural sector model 2020-03-02T12:13:59+00:00 Gabriele Mack Ali Ferjani Anke Möhring Albert von Ow Stefan Mann <p>This study evaluates linear programming (LP) and positive mathematical programming (PMP) approaches for 3,400 farm-level models implemented in the SWISSland agent-based agricultural sector model. To overcome limitations of PMP regarding the modelling of investment decisions, we further investigated whether the forecasting performance of farm-level models could be improved by applying LP to animal production activities only, where investment in new sectors plays a major role, while applying PMP to crop production activities. The database used is the Swiss Farm Accountancy Data Network. Ex-post evaluation was performed for the period from 2005 to 2012, with the 2003-2005 three-year average as a base year. We found that PMP applied to crop production activities improves the forecasting performance of farm-level models compared to LP. Combining PMP for crop production activities with LP for modelling investment decisions in new livestock sectors improves the forecasting performance compared to PMP for both crop and animal production activities, especially in the medium and long term. For short-term forecasts, PMP for all production activities and PMP combined with LP for animal production activities produce similar results.</p> 2020-02-24T08:24:01+00:00 Copyright (c) 2020 Gabriele Mack, Ali Ferjani, Anke Möhring, Albert von Ow, Stefan Mann The impact of assistance on poverty and food security in a fragile and protracted-crisis context: the case of West Bank and Gaza Strip 2020-03-02T12:13:56+00:00 Donato Romano Gianluca Stefani Benedetto Rocchi Ciro Fiorillo <p>This paper assesses the impact of assistance on the wellbeing of Palestinian households. The impact evaluation analysis uses a difference-in-difference approach for the treatment of sample selection bias. The paper uses data from the 2013 and 2014 rounds of the Palestinian Socio-Economic and Food Security survey to estimate the impact of assistance to West Bank and Gaza Strip (WBGS) households on their poverty and food security status. Results suggest that both poverty and food insecurity would have been much higher for WBGS as a whole without assistance, further increasing in areas with lower levels of assistance. However, the average positive impact of assistance hides a lot of heterogeneity. In fact, while there is a clear positive impact of the intensity of assistance on poverty reduction, food consumption and diet diversity in the West Bank, Gaza Strip analysis shows mixed results. Results highlight how the international community cannot disengage from supporting Palestinian households without severely impacting their wellbeing.</p> 2020-02-24T08:24:39+00:00 Copyright (c) 2020 Donato Romano, Gianluca Stefani, Benedetto Rocchi, Ciro Fiorillo Assessing Price Sensitivity of Forest Recreational Tourists in a Mountain Destination 2020-03-02T12:13:55+00:00 Gianluca Grilli <p>Despite the large use of the travel cost method as estimation technique for the demand for forest recreation, information on price elasticity is only seldom reported. In this way, it is hard to understand if a large consumer surplus could be reflected in income opportunities for the local populations, because it is unknown whether the number of annual trips will decrease as a consequence of price changes. This is particularly relevant in remote rural areas, where few other opportunities for additional earnings are available. This contribution attempts to fill this gap, estimating price elasticities for two different specifications of the cost for travel; a first specification includes cost for travel only, while the second comprise on-site expenditures (such as food and accommodation). Data were collected by means of a questionnaire survey administrated to a sample of local visitors and analysed with a Poisson model. Results suggest that visitors have different sensitivities to distance travelled and to expenses locally sustained, the first being more elastic.</p> 2020-02-24T08:25:18+00:00 Copyright (c) 2020 Gianluca Grilli Estimating a Dual Value Function as a Meta-Model of a Detailed Dynamic Mathematical Programming Model 2020-03-02T12:13:53+00:00 Claudia Seidel Wolfgang Britz <p>Mathematical programming (MP) is a widespread approach to depict production and investment decisions of agents in agent-based models (ABM) related to agriculture. However, introducing dynamics and indivisibilities in MP models renders their solution computing time intensive. We present a meta-modeling approach as an alternative to directly integrating MP in an ABM. Specifically, we estimate a dual symmetric normalized quadratic (SNQ) value function from a set of MP solutions. The approach allows us to depict relationships between key attributes, like the farm endowment with (quasi-) fixed factors and discounted farm household incomes, without modeling the technology in detail. The estimated functions are integrated in the ABM to derive agents’ decisions. The meta-modeling approach relaxes computational restrictions such that spatial interactions in large regions can be simulated improving our understanding of structural change in agriculture. It can also be used to extrapolate to farming populations where data availability might be restricted.</p> 2020-02-24T08:25:55+00:00 Copyright (c) 2020 Claudia Seidel, Wolfgang Britz