Geographic factors affecting tourism in Zambia

This paper discusses several geographical factors critical to tourism planning and development in Zambia. The paper focuses on the size, seasonality of climate, and population distribution of the country as well as the location of tourism resources and distances between tourist attractions. Individually and collectively, these factors have a major influence on the levels of occupancy in hotels and game lodges, and air and land transportation. The infrastructural development and its utilization for tourism are evaluated, and a number of constraints to tourism development are also examined. A discussion of appropriate tourism policies highlights the delicate relationship between economic and environmental factors. This study concludes that Tourism Master Plans should be more cognizant of geographic as well as economic factors when developing destinations such as Zambia.     

A panel data approach to economic forecasting: The bias-corrected average forecast

In this paper, we propose a novel approach to econometric forecasting of stationary and ergodic time series within a panel-data framework. Our key element is to employ the (feasible) bias-corrected average forecast. Using panel-data sequential asymptotics we show that it is potentially superior to other techniques in several contexts. In particular, it is asymptotically equivalent to the conditional expectation, i.e., has an optimal limiting mean-squared error. We also develop a zero-mean test for the average bias and discuss the forecast-combination puzzle in small and large samples. Monte-Carlo simulations are conducted to evaluate the performance of the feasible bias-corrected average forecast in finite samples. An empirical exercise, based upon data from a well known survey is also presented. Overall, these results show promise for the feasible bias-corrected average forecast.     

US Labor Institutionalism’s Rise and Decline and the Death of US Industrial Relations

Employee Responsibilities and Rights Journal - This article presents a short history on the rise and fall of US labor institutionalism as advanced by the Wisconsin school labor history and...     

A STATISTICAL ANALYSIS OF PRODUCTIVITY IN SELECTED SERVICE INDUSTRIES IN THE UNITED STATES, 1939–1963

This paper examines differentials in output, employment and productivity across seventeen service industries in the United States from 1939 to 1963. Included are 9 retail trades and 8 services mostly from the personal service group. The industries chosen were those for which it was possible to obtain from available data reasonably comparable measures of output and input for selected years since 1939. Also, they are industries for which it is possible to calculate a measure of real output that is not based on labor input.
Sixteen of the industries show positive rates of change of real output per man. Thus there appears to be no basis for assuming that productivity cannot or does not increase in industries providing services. However, the rate of increase for the group as a whole was not as rapid as in manufacturing or in goods production as a whole.
The data for the seventeen industries give strong support to the hypothesis of a positive correlation between industry rates of growth and rates of change of productivity. The correlations are of the same order of magnitude as those found by other investigators in studies of manufacturing industries.
The coefficient of correlation between growth of output per man and growth of output is .93; between growth of output per man and growth of employment it is .54 for 1939–1963. The comparable coefficients for the 1948–1963 period are .70 and .13.
The results also parallel those reported for manufacturing in one other respect, namely, the absence of any correlation between changes in output per man and changes in compensation per man.
The paper concludes with a discussion of the problems encountered in measuring changes in real output in these industries and presents some alternative estimates based on different concepts and different sources.     

Revisiting the Effect of Family Involvement on Corporate Social Responsibility: A Behavioral Agency Perspective

This paper sheds light on the incongruent findings concerning the relationship between family involvement and firms’ corporate social responsibility (CSR). While prior studies have mainly taken the perspective of families’ socioemotional wealth preservation, we approach this relationship from the perspective of behavioral agency theory, highlighting the important role played by CEOs’ family memberships. Specifically, we posit that family firms are more likely to invest in CSR when their CEOs are members of the controlling families. Furthermore, we examine how family firms can employ long-term incentives to encourage non-family CEOs to act in the interests of the controlling families to preserve SEW and thus enhancing family firms’ CSR performance. We tested our hypotheses using hand-collected data of family firms included in the S&P 500 index, in the period of 2003–2010. The empirical findings support our hypotheses that (a) family firms with family members as the CEOs have better CSR performance and (b) family firms tend to provide a high level of long-term incentives to non-family than family CEOs. In addition, long-term incentives strongly motivate CEOs to improve firms’ CSR performance, regardless of their family memberships.     

An Integrated Model of Quality for Mass Services in the Context of the Ghanaian Retail Banking Sector

This study draws upon the service literature and operationalizes the investment model in the services domain to examine factors that contribute to customers’ desire to maintain service relationships with firms (i.e., retail banks) in an emerging economy in sub‐Saharan Africa: Ghana. We empirically test the explanatory power and robustness of the investment model using 218 customers of various banking institutions in Ghana. Results from partial least squares—structural equation modeling (PLS‐SEM)—reveal that (1) service quality is positively associated with customer satisfaction, investment size, and customer commitment; and (2) while customer satisfaction is positively associated with customer commitment, both investment size and quality of attractive alternatives are not associated with customer commitment. Interestingly, we found investment size to have a positive association with customer commitment only when fully mediated by customer satisfaction. Our model reveals that service quality and customer satisfaction predict 79.3% of the variation in customer commitment toward maintaining a service relationship with their retail banks. Discussion and managerial implications conclude the article. © 2015 Wiley Periodicals, Inc.     

Berger, Dina. The Development of Mexico's Tourism Industry: Pyramids by Day, Martinis by Night

Dina Berger's The Development of Mexico's Tourism Industry:Pyramids by Day, Martinis by Night traces the historical foundationsof the tourism industry in México from 1928 to the earlypost–WW II period. The author argues that during thisperiod tourism became a medium for the modernization and economicdevelopment of México. According to Berger, the "creationof a tourist industry emerged as the cornerstone to state-ledmodernization programs in the late 1920s at the height of revolutionary