000			01992cam a2200277zu 4500
001			88847767
003			FRCYB88847767
005			20250107120002.0
006			m o d
007			cr un
008			250107s2015 fr | o|||||0|0|||eng d
020			_a9783653051346
035			_aFRCYB88847767
040			_aFR-PaCSA _ben _c _erda
100	1		_aGrovermann, Christian
245	0	1	_aAssessment of Pesticide Use Reduction Strategies for Thai Highland Agriculture _bCombining Econometrics and Agent-based Modelling _c['Grovermann, Christian']
264		1	_bPeter Lang _c2015
300			_a p.
336			_btxt _2rdacontent
337			_bc _2rdamdedia
338			_bc _2rdacarrier
650		0	_a
700	0		_aGrovermann, Christian
856	4	0	_2Cyberlibris _uhttps://international.scholarvox.com/netsen/book/88847767 _qtext/html _a
520			_aThis study combines econometrics and agent-based modelling to evaluate the impacts of a range of pesticide use reduction strategies in the context of Thai highland agriculture. Pesticide productivity and pesticide overuse are quantified, while determinants of the adoption of innovations in pesticide use reduction are estimated. On that basis, the Mathematical Programming-based Multi Agent System (MPMAS), a bio-economic simulation model, is used to ex-ante assess the adoption of Integrated Pest Management (IPM) in combination with a series of market-based instruments that boost the transition to more sustainable pest control practices. The MPMAS simulation results demonstrate that, over five years, it is possible to bring down levels of pesticide use significantly without income trade-offs for farm agents. A proportional tax, increasing the price of synthetic pesticides by 50% on average, together with bio-pesticide subsidies for IPM proves to be the most cost-effective and practicable policy package. IPM practices are adopted by up to 75% of farm agents and pesticide use reductions reach up to 34%.
999			_c21899 _d21899