@article{Sponagel:308132,
      recid = {308132},
      author = {Sponagel, Christian and Back, Hans and Angenendt,  Elisabeth and Bahrs, Enno },
      title = {b.	Development of supply curves for environmental  compensation measures on farmland on the example of the  Stuttgart Region in Germany},
      address = {2020-09-25},
      number = {2308-2020-1585},
      pages = {19},
      month = {Sep},
      year = {2020},
      abstract = {Impacts on nature and landscape in Germany must be  compensated for in accordance with the Federal Nature  Conservation Act. Farmers can participate by voluntarily  applying appropriate measures on their land. We used a  geodata-based model to analyse environmental compensation  measures on arable land from an economic perspective on the  example of the Stuttgart Region, a metropolitan area where  construction activities and their compensation are huge,  exemplary for many European metropolises. In order to  estimate a possible realistic potential, the willingness to  accept for compensation measures previously determined in a  discrete choice experiment with farmers in the Stuttgart  region was integrated into the model. The analysis compares  the economic viability of current agricultural use with the  income generated from the sale of so called ecopoints by  supply curve. The results show wide variation in ecopoint  potential in spatial terms. The implementation of  compensation measures is not economically reasonable,  depending on the legal security provided by a land register  entry at a price of less than 1.00 € per ecopoint in the  Stuttgart city district. In contrast, measures can be  implemented economically and on a large scale in  surrounding districts for less than 0.60 €, regardless of  legal protection. The optimal type of compensation measure  from an economic point of view depends on type and land is  also important. The model and its results can provide  important information for decision-makers in politics,  landscape planning and nature conservation.},
      url = {http://ageconsearch.umn.edu/record/308132},
      doi = {https://doi.org/10.22004/ag.econ.308132},
}