Proposition of a structural model for business value creation based on circular business models,innovation, and resource recovery in the pet industry

Based on the assumptions of circular economy, resource recovery, and innovation, the aim of this research is to analyze the relationship between innovation constructs, resource recovery practices, Circular Economy Business Models (CEBMs), and value creation in a fast-growing emerging economy. A set of empirical data from 443 companies in the pet industry were used. In terms of methodology, the study was processed using the SPSS software, using Structural Equation Modeling, with manipulation of primary data. CEBMs demand greater engagement, internalization of initiatives, and synergy with the operating ecosystem of the pet industry. Innovation is present but has the potential for expansion through adherence to the innovation ecosystem and its technological package, partnerships, and relationships so that companies can scale up and create value with the support of resource recovery practices. The results of this study can be useful for companies in the pet industry, as it allows the identification of areas and practices that require their attention to improve organizational performance and create value for the business based on initiatives supported by the assumptions of circular economy and sustainability.     

OPTIMAL GROWTH, GENUINE SAVINGS AND LONG-RUN DYNAMICS

Green accounting theories have shown that negative genuine savings at some point in time imply unsustainability. Consequently, recent studies advocate the use of the genuine savings measure for empirical testing: a negative index implies that sustainability be rejected. However, this criterion cannot ascertain sustainability, because positive current genuine savings do not rule out genuine dissaving in the future. This paper derives a one‐to‐one relationship between the sign of long‐run genuine savings and the limiting condition for sustained utility in the capital‐resource growth model, assuming technical progress and resource renewability. This result suggests to extend the genuine saving method to include a test of the limiting condition: if this condition is empirically rejected, positive current genuine savings are delivering a false message.     

Firms and wage inequality in Central and Eastern Europe

We use large linked employer-employee data to analyze wage inequality patterns in Central and Eastern European (CEE) countries between 2002 and 2014. We show that, unlike in many other advanced economies, wage inequality levels have decreased in almost all CEE countries. These reductions in wage inequality resulted from disproportionately large increases in wages at the bottom of the wage distribution, and from decreases in between-firm wage inequality. We further find that the declines in wage inequality were driven by large wage structure effects that compensated for changes in the composition of workers.     

France in the global economy: a structural approximate dynamic factor model analysis

This study identifies the main shocks that cause fluctuations in French output and their channels of transmission. It uses a large-dimensional structural approximate dynamic factor model. There are three main findings. First, common shocks, especially demand shocks, which seem to originate from the U.S., play an important role in explaining French economic activity. While international trade, relative prices, and foreign direct investment (FDI) flows are the main channels of transmission, the stock market, consumer confidence, and interest rates also matter. Second, France’s integration with the rest of the world has increased over time. Third, there is some tentative evidence of regional components in explaining French output fluctuations; country-specific components also contribute. The predominance of exogenous factors affecting French output, the asymmetry in the transmission of shocks, and France’s participation in a currency area argue for making French goods, services, and labor markets as flexible as possible.     

Opinion convergence in location: A spatial version of the Delphi method

This paper proposes a modified version of the Delphi method, starting from the assumption that in many situations the convergence of opinions can be considered in a spatial context. The Spatial Delphi we suggest is based, like the classical Delphi, on the judgments of experts, and it is useful in the consultations for decision and/or forecast purposes, provided that they concern matters of spatial location. The basis for the questionnaire is a map, on which each expert provides, as answer(s), one or more opinion-points, i.e., locations that, according to their opinion, are best for a specific purpose. We propose a method for narrowing the area of convergence along a multi-step procedure so that the final result of the consultation is a small portion of the initial territory with respect to the initial area considered. Besides a simulation study, we report also a prototype application with a panel of twelve experts.     

Improving the estimation of total factor productivity growth: capital operating time in a latent variable approach

Measuring labor and capital services accurately is essential to obtaining reliable estimates of production functions and total factor productivity (TFP) growth. Using data on the operating time of capital, a series that exists for the French business sector, greatly improves the measurement of effective capital services in production. The ensuing estimation results are consistent with Cobb–Douglas technology under constant returns to scale, with the factor elasticities not statistically different from their income shares. In the same framework, TFP growth is estimated as a latent variable and found to be less volatile than accounting residuals, negatively correlated with employment, and free of cyclicality. It is statistically best estimated as a first-order autoregressive process, with an autoregressive coefficient of 0.95. Total factor productivity growth was estimated to have declined steadily between the mid-1970s and mid-1990s, but the rate of decline has diminished since then.     

Integer programming on domains containing inseparable ordered pairs

Using the integer programming approach introduced by Sethuraman et al. (2003), we extend the analysis of the preference domains containing an inseparable ordered pair, initiated by Kalai and Ritz (1978). We show that these domains admit not only Arrovian social welfare functions “without ties,” but also Arrovian social welfare functions “with ties,” since they satisfy the strictly decomposability condition introduced by Busetto et al. (2015). Moreover, we go further in the comparison between Kalai and Ritz (1978)’s inseparability and Arrow (1963)’s single-peak restrictions, showing that the former condition is more “respectable,” in the sense of Muller and Satterthwaite (1985).     

Relational paths in business network dynamics: Evidence from the fashion industry

This paper addresses the topic of business network dynamics. Starting with a review of the IMP literature, it aims to shed light on potential relational paths by which a firm may reconfigure its business network. To this end, two main emerging paths are described: integration and substitution. Methodologically, the paper presents and discusses the data collected during a longitudinal case analysis of four Italian textile producers. The main implications for business networks stemming from these emerging relational paths are described. In particular, the main findings from the cases analyzed suggest that business network dynamics should be interpreted in terms of the processes of both business network change and consolidation.     

Financial development and economic growth: long‐run equilibrium and transitional dynamics

We analyze the impact of financial development on economic growth. Differently from previous studies that focus mainly on balanced growth path outcomes, we also analyze the transitional dynamics of our model economy by using a finance‐extended Uzawa–Lucas framework where financial intermediation affects both human and physical capital accumulation. We show that, under certain rather general conditions, economic growth may turn out to be non‐monotonically related to financial development (as suggested by the most recent empirical evidence) and that too much finance may be detrimental to growth. We also show that the degree of financial development may affect the speed of convergence, which suggests that finance may play a crucial role in determining the length of the recovery process associated with exogenous shocks. Moreover, in a special case of the model, we observe that, under a realistic set of parameters, social welfare decreases with financial development, meaning that even when finance positively affects economic growth the short‐term costs associated with financial activities more than compensate their long‐run benefits.