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handle: 20.500.11850/596422
AbstractAgricultural and other fields of economics have always co‐evolved and benefitted from each other's insights. Over time, a general convergence of all social sciences began, and various fields of psychology, sociology, anthropology, and political science started to overlap with general and agricultural economics. Within economics, it was especially the rise of behavioral economics, that has steered the field toward the other social sciences. It departs from the assumption of perfectly rational expected utility maximizers and allows for greater diversity in decision‐makers' objectives and constraints. Agricultural economics has been early to recognize the need to make economic choice models more realistic. This can be explained by the particularities of agricultural economics and agriculture. Agricultural economists are tasked with solving specific, practical problems, and thus behavioral deviations from model predictions have always been salient and relevant to policy recommendations. Then, farmers—and to some extent also consumers—make choices in particularly complex and uncertain environments and must use all strategic tools at their disposal to deal with their “bounded rationality”. These include the reliance on culture and other heuristics. Agricultural economics continues to synergize economic theory and practice with insights from other disciplines and real‐world experiences and is an important driver towards further unification of all social sciences.
applied economics, psychology and economics, agricultural economics, behavioral economics, history of economic thought, agricultural economics; applied economics; behavioral economics; history of economic thought; psychology and economics
applied economics, psychology and economics, agricultural economics, behavioral economics, history of economic thought, agricultural economics; applied economics; behavioral economics; history of economic thought; psychology and economics
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 44 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 1% |