An alternative approach to community-based ecotourism: a bottom-up locally initiated non-monetised project in Papua New Guinea

Community-based ecotourism (CBET) is presented as a tool for conservation and sustainable development by conservation practitioners and development agencies, but is reported to have achieved little. Several scholars argue that many problems stem from inadequate power relationships between external actors and local communities, leading to low community participation. This study opens a debate on governance and social enterprise in CBET by examining a bottom-up approach to community-based ecotourism based on a small-scale CBET initiative in an amenity-poor remote indigenous community in Papua New Guinea. This initiative is unique in the following aspects: it was initiated by a community member; external assistance was advisory only; no external financial assistance was given; and it has taken place in a non-monetised economy. Participant observation and in-depth interviews with local key informants were used to identify community-defined positive/negative impacts and community participation processes. Overall, there was substantial support for the project; it contributed to community welfare, generated economic benefit, had positive conservation outcomes and from the viewpoint of the community had no adverse cultural impacts. One of the keys for success was the development of a strong community agency that led to high community participation and individual rather than the community ownership.     

Hybrid estimators for small diffusion processes based on reduced data

We deal with the Bayes type estimators and the maximum likelihood type estimators of both drift and volatility parameters for small diffusion processes defined by stochastic differential equations with small perturbations from high frequency data. From the viewpoint of numerical analysis, initial Bayes type estimators for both drift and volatility parameters based on reduced data are required, and adaptive maximum likelihood type estimators with the initial Bayes type estimators, which are called hybrid estimators, are proposed. The asymptotic properties of the initial Bayes type estimators based on reduced data are derived and it is shown that the hybrid estimators have asymptotic normality and convergence of moments. Furthermore, a concrete example and simulation results are given.     

Platform market competition with endogenous side decisions

This paper develops a framework to analyze platform competition in two‐sided markets in which agents endogenously decide on which side of a platform to join. We characterize the equilibrium pricing structure and perform a comparative statics analysis on how the distribution of agents’ preferences affects the platforms’ profits. We also show that the market equilibrium under profit‐maximizing platforms leads to the first best social surplus, which illustrates the importance of the price mechanism to induce more balanced participation across the two sides. This framework can be applied to analyze market competition for “rental” or “sharing” platforms. In addition, we extend our analysis to consider an initial investment stage, which makes participants the owner of some durable goods to rent out.     

Informational size and the incentive compatible coarse core in quasilinear economies

In this paper we show that in quasilinear economies the incentive compatible coarse core is non-empty if agents are informationally small in the sense of McLean and Postlewaite (2002) and the strict core in each state is non-empty.     

Complementarity,fiscal decentralization and economic growth

Theories of the voluntary provision of public goods and development economics have clarified that complementarity in the production process is a crucial ingredient to understanding how alternative economic environments affect economic performance. This paper examines how the structures of intra- and inter-regional complementarity affect the relationship between economic growth and fiscal decentralization. We provide a theory that describes how fiscal decentralization affects economic growth under various structures of regional complementarity. Our empirical analysis, based on a panel data set of the fifty states of the United States over the period of 1992–1997, supports our theoretical specification of the production function. Also, we observe a hump-shaped relationship between fiscal decentralization and economic growth that is consistent with our theoretical result. Our analysis also shows that the optimal degree of fiscal decentralization conducive to economic growth is higher than the average of the data in some cases, and hence further decentralization is recommended for economic growth. The previous version of the paper was presented at the 59th Congress of the International Institute of Public Finance (University of Economics in Prague, Prague), the 2003 Fall Meeting of the Japanese Economic Association (Meiji University, Tokyo), the 60th Annual Meeting of the Japanese Institute of Public Finance (Kansai University, Osaka), and in seminars at Yokohama National University and the University of California, Irvine. The authors acknowledge the comments and discussions by people including Timothy Goodspeed, Kiyoshi Mitsui, Motohiro Sato, Etsuro Shioji, Tsunao Okumura, and Craig Parsons. We are also grateful for the comments by the Editor (Amihai Glazer) and two anonymous referees. The usual disclaimer applies. Nishimura acknowledges the financial support from JSPS (Japan Society for the Promotion of Science) Postdoctoral Fellowships for Research Abroad.     

Neutrality of buyer and seller commissions to auction house profit

This paper presents an examination of optimal revenue management of a monopoly auction house through which a seller sells goods via a second‐price auction. The house charges commissions to both the buyer and seller. Results demonstrate that a continuum of combinations of optimal buyer and seller commission rates exists, all of which yield the same expected profit of the house. Additionally, we discuss several possible factors that lead to the prevailing custom of zero buyer commission, such as commission aversion of buyers, the house's incentive to maximize the hammer price, and seller and buyer preferences for apparently lowered commission rates.     

HEDGING AND THE COMPETITIVE FIRM UNDER AMBIGUOUS PRICE AND BACKGROUND RISK

This paper examines the optimal production and hedging decisions of the competitive firm that possesses smooth ambiguity preferences and faces ambiguous price and background risk. The separation theorem holds in that the firm's optimal output level depends neither on the firm's attitude towards ambiguity nor on the incident to the underlying ambiguity. We derive necessary and sufficient conditions under which the full‐hedging theorem holds and thus options are not used. When these conditions are violated, we show that the firm optimally uses options for hedging purposes if ambiguity is introduced to the price and background risk by means of mean‐preserving spreads. We as such show that options play a role as a hedging instrument over and above that of futures.     

Is individual environmental consciousness one of the determinants in transport mode choice?

This article models negative impact on the environment as one of the attributes of transport mode. By this modelling, we are able to examine whether individual environmental consciousness of this impact plays a significant role in his/her choice of transport mode. A survey data from Saito and Onohara Area in Northern Osaka of Japan is used to estimate the model with the Heteroscedastic Extreme Value specification. Both of the estimated and simulated results imply that individual environmental consciousness does influence his/her decision on transport mode choice in the sample. Furthermore, the likelihood ratio tests indicate that both the utility and scale parameters are not equivalent across sub-samples of university commuters, research-facility commuters and residents. The results of the comparison across sub-samples suggest that sometimes we may learn more from sub-dividing a whole sample into several sub-samples if we could distinguish them by their characteristics.