Job Creation and Job Destruction in a Regulated Labor Market: The Case of Austria

We study Austrian job reallocation in the period of 1978 to 1998, using a large administrative dataset where we correct for spurious entries and exits of firms. We find that on average 9 out of 100 randomly selected jobs were created within the last year, and that about 9 out of randomly selected 100 jobs were destroyed within the next year. Hence, the magnitude of Austrian job flows seems to be comparable to other countries, similar to the well-known results of Davis et al. (1996) for the United States. Job reallocation appears to be driven primarily by idiosyncratic shocks. However, job creation increases significantly during cyclical upswings whereas job destruction rises in downturns. We also find substantial persistence of job creation and destruction. The pronounced pattern of job reallocation rates falling with firm size and age continues to hold when we use a set of controls. Finally, we show that – controlling for sector and firm size composition – Austrian job reallocation rates are only half the rates for the U.S. This result is not surprising given the impact of tighter regulation and labor law in Austria.     

Taxation and Market Power

We analyze the incidence and welfare effects of unit sales tax increases in experimental monopoly and Bertrand markets. We find, in line with economic theory, that firms with no market power are able to shift a high share of the tax burden to consumers, independent of whether buyers are automated or human players. In monopoly markets, a monopolist bears a large share of the burden of a tax increase. With human buyers, however, this share is smaller than with automated buyers, as the presence of human buyers constrains the pricing behaviour of a monopolist. Several control treatments corroborate this finding.     

On the power of indicators: how the choice of fuel poverty indicator affects the identification of the target population

In light of the creation of the EU Energy Poverty Observatory (EPOV) in January 2018 and the increase in debates on how fuel poverty is measured, we propose a critical analysis of fuel poverty indicators and demonstrate that choosing a given indicator is central to the identification of the fuel-poorpopulation.

First, we conducted an inter-indicator analysis to show how profiles of fuel-poor households vary depending on the indicator selected. We designed a multidimensional approach based on a multiple correspondence analysis and a hierarchical and partitioning clustering analysis to study characteristics of fuel-poor households. We highlight the difficulty of identifying a fuel-poor ‘typical profile’ and show that the composition of the population depends on the choice of the indicator.

Second, we applied an intra-indicator analysis using two objective expenditure-based indicators with thresholds. In particular, we conducted a sensitivity analysis based on a logit model including variables describing household and dwelling characteristics. We show that the profiles of fuel-poor households as well as the drivers of fuel poverty vary considerably with the chosen threshold level.Given these findings, we stress the need to review how we currently rely on conventional fuel poverty indicators to identify target groups and give some recommendations.     

Towns (and villages): definitions and implications in a historical setting

The measurement of urbanization rates and other uses of statistical information, for example the use of historical town growth to measure long-term economic growth, are usually based on an ad hoc population threshold to define and practically classify settlements as towns. The method, however, trades off accuracy and precision for convenience and simplicity. This paper proposes a new threshold that uses the town size distribution together with agricultural data to derive an appropriate cutoff value. The relevance of agricultural income is integrated into the classification scheme through the differential effect of local agricultural endowments on settlement size. The threshold is chosen such that the size of towns above the cutoff is statistically not influenced by local agricultural endowments, while the size of villages, which is below the threshold, is indeed shaped by them. This new approach is practically demonstrated with an application to the urban system of the nineteenth century in the German region of Saxony. This setting is used to investigate the relevance of a different classification for the development of urbanization over time and Gibrat’s law. The results demonstrate that the underlying classification scheme matters strongly for the conclusions drawn from historical urban data. They also indicate that the use of a common population threshold for a comparative analysis or temporal comparisons in a historical context increases the misclassifications of settlements.     

Social capital as a distinctive feature of Social Economy firms

In recent years, the growing importance in developed countries of the Social Economy sector and the contribution of social capital to regional economic development are being studied in depth. Linking these two fields of research, the aim of the present work is to analyse the social capital endowments of Social Economy firms in comparison to those in traditional profit-maximizing firms. To do so, a literature review will be firstly carried out to clarify both the concept of social capital and, more specifically, its relation with entrepreneurship and social enterprises. In the empirical section, the social capital endowments both of social firms (cooperatives and owned-worker enterprises) and traditional firms are compared using data from two surveys conducted in Andalusia, a lagged Spanish region with long tradition in the Social Economy sector. Results show that social capital endowments measured through cooperation agreements and company links with local suppliers and costumers are higher in cooperatives and worker-owned companies. Therefore, Andalusian authorities must continue with its support policy to these enterprises as a mean to reinforce the regional economic development.     

Ecosystem Service Value and Agricultural Conversion in the Amazon: Implications for Policy Intervention

We explore the welfare implications of agricultural expansion in the Brazilian Amazon by comparing spatially explicit estimates of soybean rents and the value of ecosystem services. Although these estimates are generated from different datasets, models, and estimation techniques, the values are comparable, such that the value of ecosystem services is greater than soybean rents for about 61% of the total area and 24% of the area where soybean rents are positive if protected areas are well enforced. Based on the balance between the benefits and costs of conversion, failure to value ecosystem services reduces total social welfare by 7.13 billion dollars annually relative to an optimum. Policy instruments that internalize the value of ecosystem services via protected lands, land conversion taxes, conservation subsidies, or excise taxes can avoid much of this loss. Regardless of intervention regime, policy makers should be cognizant of the diminishing net benefits of converting natural ecosystems to agriculture. Realizing the final 3.8% requires the conversion of an additional 15% natural ecosystems to soybean production.     

Pipeline management for the acquisition of industrial projects

The management and controlling of the industrial project acquisition process, with its staged, funnel-like structure, has been neglected in empirical research so far—even though an effective acquisition process is crucial for economic success. In addition to profitability, the main goal of industrial companies is to implement a pipeline process that ensures that the pipeline is always filled with acquisition projects and results in a constant stream of orders over time. The projects considered are characterized by complexity, uniqueness, and discontinuity. Based on a large-scale survey among German industrial companies, we describe the industrial project acquisition process, where the projects mentioned above are sold on a non-continuous basis to industrial customers. We assess how the industrial project acquisition process is really structured, whether a sales funnel management is applicable and utilized by sales management to monitor and control this process, and whether a sophisticated sales funnel management contributes to enhanced economic success.     

THE DISTRIBUTION OF INCOME AND WEALTH IN JAPAN

This paper reviews research on the distribution of income and wealth in Japan, identifies sources of data on income and wealth, and describes limitations of these data. Evidence that Japan's poorest income groups are relatively well-off is convincing, but there is less evidence that the overall distribution of income in Japan is more equal than in other OECD countries. Agricultural policy, social welfare policy, the tax system, trends in earnings differentials, and the role of the Japanese family are among the many factors that have shaped Japan's income distribution. The rapid appreciation of the stock market and land prices during the late 1980s led to greater inequality in the distribution of wealth. Rapid population aging is expected to lead to an increase in total national wealth relative to national income which may have an adverse impact on the distribution of income.