Power generation in Ghana has gone through a number of phases: starting with diesel generators and stand-alone electricity supply systems owned by industrial mines and factories, to the hydro phase following the construction of the Akosombo dam, and now to a thermal complement phase powered by gas and/or light crude oil. A power crisis has also become a perennial development challenge in Ghana, with increasing severity that threatens the country's economic growth and transformation. The troubling rationing system, the slowdown in industrial activity, job and income losses, and disruptions in social life are telling reminders of what now seems a perennial drag on Ghana's development agenda. While Ghana has committed itself to universal electricity access by 2020, the real challenge is the capacity to meet this goal and, most important, to ensure that supply is reliable and adequate. This paper outlines the state of current electricity demand and supply gap and the major impediments to resolving the supply bottlenecks and in managing demand, highlights institutional and regulatory constraints, and identifies some key issues that should be the focus of policy decision-making going forward.

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Terms of use: Documents in AbstractOne of the basic assumptions of the travel cost method for recreational demand analysis is that the travel cost is always incurred for a single purpose recreational trip. Several studies have skirted around the issue with simplifying assumptions and dropping observations considered as non-conventional holiday-makers or as non-traditional visitors from the sample. The effect of such simplifications on the benefit estimates remains conjectural. Given the remoteness of notable recreational parks, multi-destination or multi-purpose trips are not uncommon. This paper examines the consequences of allocating travel costs to a recreational site when some trips were taken for purposes other than recreation and/or included visits to other recreational sites. Using a multi-purpose weighting approach on data from Gros Morne National Park, Canada, we conclude that a proper correction for multi-destination or multi-purpose trip is more of what is needed to avoid potential biases in the estimated effects of the price (travel-cost) variable and of the income variable in the trip generation equation.

On-site surveys of tourists often lead to overestimates of annual tourism because tourists who are frequent repeat visitors are more likely to be sampled. This unrepresentative sample leads to statistical problems known as 'truncation' and 'endogenous stratification' in widely used travel cost demand models. Further, wide variation in the number of on-site visits among tourists can lead to overdispersion in the dependent variable of count data travel cost models. The authors present the first real-world data correction for all three problems and compare the corrected estimates with the ideal household survey. Correcting for truncation and endogenous stratification in a count data specification allowing for overdispersion (negative binomial specification) lowers the demand and benefit estimate to a mean value not significantly different from the household estimate. If tourism researchers wish to develop visitor use estimates from onsite surveys consistent with household level surveys, the authors' improved demand estimators would allow them to do so with some confidence in the results.

Using count data models that account for zero-truncation, overdispersion, and endogenous stratification, we estimate the value of access to recreational parks. The focus is on the empirical estimation of the proportion of the wage rate that best approximates park visitors' opportunity cost of travel time within the cost of their trip and its effects on estimated consumer surplus. The fraction of hourly earnings that corresponds to the opportunity cost of travel time is endogenously estimated as a function of visitor characteristics, rather than fixed exogenously. In this case, which deals with a relatively remote recreational site, the relevant opportunity cost of time for most visitors appears to represent a smaller fraction of their wage rate than commonly assumed in previous similar studies.