Strategic Complementarity, Stabilization Policy, and the Optimal Degree of Publicity

2012 ◽  
Vol 44 (4) ◽  
pp. 551-572 ◽  
Author(s):  
JONATHAN G. JAMES ◽  
PHILLIP LAWLER
Keyword(s):  
Stabilization Policy ◽  
Strategic Complementarity ◽  
Optimal Degree

scholarly journals Buffer Stock Operations and Well-Being: The Case of Smallholder Farmers in Ghana

2021 ◽  
Author(s):  
Emmanuel Abokyi ◽  
Dirk Strijker ◽  
Kofi Fred Asiedu ◽  
Michiel N. Daams
Keyword(s):  
Stock Price ◽  
Smallholder Farmers ◽  
Well Being ◽  
Buffer Stock ◽  
Least Square ◽  
Subjective Well Being ◽  
Stabilization Policy ◽  
Environmental Aspects ◽  
Policy Makers ◽  
Aid Policy

AbstractThis study investigates the possible causal relationship between buffer stock operations in Ghanaian agriculture and the well-being of smallholder farmers in a developing world setting. We analyze the differences in the objective and subjective well-being of smallholder farmers who do or do not participate in a buffer stock price stabilization policy initiative, using self-reported assessments of 507 farmers. We adopt a two-stage least square instrumental variable estimation to account for possible endogeneity. Our results provide evidence that participation in buffer stock operations improves the objective and subjective well-being of smallholder farmers by 20% and 15%, respectively. Also, with estimated coefficient of 1.033, we find a significant and robust relationship between objective well-being and subjective well-being among smallholder farmers. This relationship implies that improving objective well-being enhances the subjective well-being of the farmers. We also find that the activities of intermediaries decrease both the objective and subjective well-being of farmers. This study demonstrates that economic, social, and environmental aspects of agricultural life could constitute priorities for public policy in improving well-being, given their strong correlation with the well-being of farmers. Based on the results of this study, we provide a better understanding, which may aid policy-makers, that public buffer stockholding operations policy is a viable tool for improving the well-being of smallholder farmers in a developing country.

scholarly journals Information Use and the Condorcet Jury Theorem

Mathematics ◽  
2021 ◽  
Vol 9 (10) ◽  
pp. 1098
Author(s):  
Keiichi Morimoto
Keyword(s):  
Monetary Policy ◽  
Voting Behavior ◽  
Imperfect Information ◽  
Information Use ◽  
Information Aggregation ◽  
New Keynesian ◽  
Strategic Complementarity ◽  
Keynesian Model ◽  
Jury Theorem

Using a simple model of a coordination game, this paper explores how the information use of individuals affects an optimal committee size. Although enlarging the committee promotes information aggregation, it also stimulates the members’ coordination motive and distorts their voting behavior through higher-order beliefs. On the determination of a finite optimal committee size, the direction and degree of strategic interactions matter. When the strategic complementarity among members is strong, a finite optimal committee size exists. In contrast, it does not exist under strategic substitution. This mechanism is applied to the design of monetary policy committees in a New Keynesian model in which a committee conducts monetary policy under imperfect information.

scholarly journals Land-Use Planning and the Public: Is There an Optimal Degree of Civic Participation?

Land ◽  
2021 ◽  
Vol 10 (1) ◽  
pp. 90
Author(s):  
Miroslav Kopáček
Keyword(s):  
Land Use ◽  
Land Use Planning ◽  
Planning Process ◽  
Civic Participation ◽  
Expert Knowledge ◽  
Practical Knowledge ◽  
Optimal Level ◽  
Structured Interviews ◽  
Optimal Degree ◽  
Degree Of Participation

Civic participation has an irreplaceable role in the land-use planning process because it contributes a practical perspective to expert knowledge. This article discusses whether there is actually a level of civic participation that can be considered optimal, which would allow experts to effectively obtain information from everyday users of the territory, who have the best practical knowledge of it; experts may also gain sufficient feedback on intended developments, based on knowledge about civic participation from representatives of individual municipalities. The article also proposes measures that can promote an optimal degree of participation in the land-use planning process. The fieldwork was conducted in the form of semi-structured interviews with the mayors of municipalities with a population of up to 2000 inhabitants in selected districts of the Ústí Region (Czech Republic). The results suggest that the optimal degree of civic participation in land-use planning should have a representative extent, so it should not merely be a matter of individuals, but also one of groups of dozens of people, and such groups should encompass a balanced variety of characteristics; an optimal level of civic participation should also provide the maximum number of relevant impulses. Measures that may secure and foster an optimal degree of civic participation in land-use planning include (1) striving to avoid preferring purely voluntary participation; (2) simultaneously utilizing various tools to engage inhabitants; (3) educating inhabitants on a regular basis; and (4) consistently communicating and providing feedback, while also searching for informal means of communication and discussion.

The Application of Fuzzy Optimization Theory in the Selection of Foundation Improvement Methods

2015 ◽  
Vol 723 ◽  
pp. 341-344
Author(s):  
Li Juan Zhang ◽  
Jiang Han ◽  
Zhang Ming Li
Keyword(s):  
Evaluation Criteria ◽  
Fuzzy Optimization ◽  
Optimization Theory ◽  
Static Method ◽  
Optimal Selection ◽  
Construction Time ◽  
Optimal Degree ◽  
Selection Of

Research was conducted on the optimal selection of foundation improvement methods in the paper. Based on fuzzy optimization theory, four evaluation criteria such as construction time are used to evaluate the five improvement methods. The relative optimal degree 0.798 of dynamic-static consolidation method is the maximum which shows that the dynamic-static method is the optimal one; relative optimal degree and multi-evaluating criteria are used to evaluate multi-goals in the fuzzy optimization theory which will lead to the high optimal reliability result.

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