Criminal Victimization and the Quality of Life

The aim of this investigation was to explain theimpact of crime-related issues on satisfaction withthe quality of life, satisfaction with life as a wholeand happiness in the city of Prince George, BritishColumbia. As explanatory variables, we had measures ofrespondent fears of and actual cases of victimization, Indexes of Neighbourhood Problems, PolicePerformance, Neighbourhood Worries, DefensiveBehaviour, beliefs about increases in local crime,satisfaction with personal and family safety, andsatisfaction with a variety of domains of life (e.g.,friendships, financial security, health). Collectivelysuch variables could explain only 5% of the variationin happiness scores, 7% of the variation in lifesatisfaction scores and 9% of the variation insatisfaction with the quality of life scores. However,they could explain 38% of the variation in overallneighbourhood satisfaction scores. When measures ofsatisfaction with family life, health, self-esteem,etc. were added, we found that crime related issueswere simply displaced by the other measures and thatwe could explain 31% of the variation in overallhappiness scores, 58% of the variation in lifesatisfaction scores and 59% of the variation insatisfaction with the overall quality of life scores. We conclude, therefore, that crime-related issues haverelatively little impact on peoples satisfaction withthe quality of their lives, with life satisfaction orhappiness here.     

Identifying and using critical success factors

This article focuses on defining and discussing the concept of critical success factors as input into the environment analysis, resource analysis, and strategy evaluation steps in the strategic planning/strategy development process. The reader is provided with eight possible sources of critical success factors including environmental analysis, analysis of industry structure, industry/business experts, analysis of competition, analysis of dominant firm in the industry, company assessment, temporal/intuitive factors and PIMS results. Examples of CSF's from various sources are provided and a scheme by which the reader can assess the relative importance of identified CSF's is presented.     

Public Services and the Quality of Life

This is a report of the results of a survey of citizen beliefs and attitudes about public services and the quality of life in Prince George, British Columbia, Canada in the summer of 1997. Information is provided about the perceived frequency with which various services were used, the perceived satisfaction and value for tax dollars spent on the services as well as on levels of government officials generally, preferences for the provision of more or fewer services and for spending relatively more or less revenue on different services, views about user-fees, and views about smoke-free public places and the likely impact of bylaw changes on people's behaviour. Using such information, we examined correlations among perceived satisfaction, perceived value for money, use, spending preferences and demand, and, using multiple regression analysis, explained 66% of the variance in life satisfaction scores, 57% of the variance in satisfaction with the quality of life scores and 37% of the variance in happiness scores. Applying LISREL 8.14, it was shown that a model in which our three global indicators were explained by 13 domain indicators was superior to a model in which the latter indicators were explained by the former, i.e., a Bottom-Up model was superior to a Top-Down model. A simple linear model was also used to explain 32%, 20% and 19%, respectively, of the variance in satisfaction with municipal, provincial and federal government officials.     

Covid and Public Funds: More Opportunities for a Misuse? The Case of the Intermediate Governments of Galicia

Public Organization Review - Corruption and inefficiency of public funds pose a risk in public administrations. This paper analyses the corruption risk at the local level by analysing indicators of...     

Bayesian non-parametric modeling for integro-difference equations

Integro-difference equations (IDEs) provide a flexible framework for dynamic modeling of spatio-temporal data. The choice of kernel in an IDE model relates directly to the underlying physical process modeled, and it can affect model fit and predictive accuracy. We introduce Bayesian non-parametric methods to the IDE literature as a means to allow flexibility in modeling the kernel. We propose a mixture of normal distributions for the IDE kernel, built from a spatial Dirichlet process for the mixing distribution, which can model kernels with shapes that change with location. This allows the IDE model to capture non-stationarity with respect to location and to reflect a changing physical process across the domain. We address computational concerns for inference that leverage the use of Hermite polynomials as a basis for the representation of the process and the IDE kernel, and incorporate Hamiltonian Markov chain Monte Carlo steps in the posterior simulation method. An example with synthetic data demonstrates that the model can successfully capture location-dependent dynamics. Moreover, using a data set of ozone pressure, we show that the spatial Dirichlet process mixture model outperforms several alternative models for the IDE kernel, including the state of the art in the IDE literature, that is, a Gaussian kernel with location-dependent parameters.     

The Process of Job Creation and Job Destruction in the Italian Economy

ABSTRACT: Longitudinal analysis of labour flows provides a number of important indications on the characteristics of job creation and job destruction in the Italian economy, and on the role played by small firms in this process. The main indications may be summarized as follows: 1)the ratio of total separations to total work-force is remarkably high, and almost completely independent of the business cycle: one out of four workers leaves his/her position each year in the economy at large. In the small firms sector alone turnover is much higher, with total separations almost approaching 50|X% of employment; 2)as the economy takes a downturn, it is mainly the number of jobs created through expansion of existing firms that follows this cycle, while separations remain roughly constant; 3)the proportion of jobs created via the establishment of new firms is modest compared to that attributable to the expansion of existing plants (16.0-14.491)). Likewise, the proportion of job losses due to closures visi vis employment shedding by contracting firms, is of the same order of magnitude; 4)job creation and destruction is very high in the small firm sector. Employment in firms of dimension (0-19) is 25.8 % of total employment at the beginning of the observation period (1978) and reaches 28% at its end (1984). Yet the proportion of job creation attributable to small firms is approximately 60% of the new positions due to expansion of existing firms in manufacturing, and 68% in the services. The fraction of jobs destroyed by small firms is somewhat lower: about 46% in manufacturing and 59% in the services; 5)he small firms contribution to net job creation appears even more remarkable both in the aggregate, as well as within all sectors of economic activity and geographical areas. In 1978-80 net employment change in manufacturing is 106,000 units per year; correspondingly net job creation by firms (0-19) is alone 222,000. In the services the proportion between net employment change and the share of the small firms is 1:3. In 1981-83, while in manufacturing over 213,000 jobs are destroyed on average each year, net creation by small firms is still positive (+ 48,000); in the services the overall change is very small (+ 3,000), while the net contribution of small firms is + 53,000.     

Social investments in the knowledge economy: The politics of inclusive,stratified, and targeted reforms across the globe

As countries transition from industrial to post-industrial knowledge economies, education and skills are crucial. Consequently, policy-makers around the globe have increasingly focused on social investment, that is, policies aiming to create, mobilize, or preserve skills. Yet, countries around the globe have developed social investments to different degrees and in highly different forms. Our goal is twofold: First, we introduce a new typology of social investment policies, distinguishing nine types along two dimensions: three distributive profiles (inclusive, stratified, targeted) and three functions (skill creation, preservation, mobilization). This differentiation allows fine-grained analyses of the causes and consequences of different kinds of social investments, thus offering a perspective to study the relationship between efficiency and inclusiveness in a way that goes beyond the mere discussion how social investment policies grosso modo affect inequalities (‘equalizing’ versus ‘Matthew Effects’). Second, we theorize on the politics of social investment. We argue that the interaction of policy legacies and socioeconomic factors is the main explanation for which functions of social investment policies are introduced, whereas their distributive profiles are crucially shaped by political coalitions. We illustrate with empirical material from democracies around the globe.     

Declining inequality in Latin America? Robustness checks for Peru

The Journal of Economic Inequality - Household surveys underreport incomes from the upper tail of the distribution, affecting our assessment about inequality. This paper offers a tractable...     

Entreprise Management in the USSR: is there a Productivity Drive?*

Abstract. According to some neo-institutional economists, the trade-off of perestroika is between the benefits of solving economic problems via institutional changes and the costs of upsetting the nomenklatura. The “sub-institutional” analysis shows instead a series of organizational adjustments of the productive system that can render this dilemma less pressing, provide Western financial aid increases. This aid will ease the social and political tensions of the transition much more than helping the start of a productivity drive in Soviet firms.