External cooperation and entrepreneurial orientation in industrial clusters

ABSTRACT

The aim of this paper is to examine the relationship between external cooperation and entrepreneurial orientation (EO). This relationship is explored in cluster environment, wherein entrepreneurial organizations compete and cooperate simultaneously to pursue opportunities. The following hypothesis is tested: External cooperation is positively correlated with entrepreneurial orientation. The hypothesis is tested with a correlation analysis on a sample of 77 small-sized enterprises operating in the Malopolska region in Poland, wherein several clusters are active. Additionally, the regression analysis is conducted to examine the associations between inter-organizational cooperation and EO dimensions. The findings confirm that external cooperation is positively correlated with EO. This observation is confronted with a pro-competitive approach that is a constitutional element of the entrepreneurship concept. Moreover, the findings show that the correlation between external cooperation and a firm’s performance is stronger than between some other EO dimensions and performance. Additionally, the findings show the important role of relationships between organizations and their clients. In the paper, several remarks for development of the theory are discussed, including the need for incorporating inter-organizational cooperation into a set of entrepreneurial traits and reflecting it in entrepreneurial orientation scales. The findings confirm the importance of that direction of theory development that focuses on inter-organizational collaboration in the context of entrepreneurship.     

The raw material basis of global value chains: allocating environmental responsibility based on value generation

A new approach to allocate environmental responsibility, the ‘value added-based responsibility’ allocation, is presented in this article. This metric allocates total environmental pressures occurring along an international supply chain to the participating sectors and countries according to the share of value added they generate within that specific supply chain. We show that – due to their position in global value chains – certain sectors (e.g. services) and countries (e.g. Germany) receive significantly greater responsibility compared to other allocation approaches. This adds a new perspective to the discussions concerning a fair distribution of mitigation costs among nations, companies and consumers.     

Carbon taxes and the double dividend hypothesis in a recursive-dynamic CGE model for Spain

A carbon tax is potentially a policy that can reduce CO₂ emissions and mitigate climate risks, at lowest economy-wide costs. We develop a dynamic CGE model for Spain to assess the economic and environmental effects of a carbon tax, and test the double dividend (DD) hypothesis. We simulate the impact of three carbon taxes: €10, €20 and €30 per ton of CO₂. For each tax, four ‘revenue recycling’ scenarios are examined: a reduction of taxes on capital, on labor, on value-added tax, and a scenario in which revenues are not recycled. We find a DD for taxes of €10/ton and lower, within five to seven years of implementation. We estimate an annual CO₂ emissions reduction of around 10% with this tax. Under some circumstances, the DD can be achieved for a tax of €20/ton. In any case, recycling revenues to cut pre-existing taxes reduces costs of imposing carbon taxes.     

THE BIAS OF THE MULTIPLIER MATRIX WHEN SUPPLY AND USE TABLES ARE STOCHASTIC

The literature on stochastic input–output (I–O) analysis has paid considerable attention to the bias in the Leontief inverse. This paper extends previous studies by assuming supply and use tables (SUTs rather than I–O tables or input coefficients matrices) to be stochastic. This is a natural starting point because SUTs have become the basic data sources for I–O applications. In a Monte Carlo simulation experiment, a given SUT is randomized in two different ways and the effects are determined for eight different multiplier matrices. The analysis is carried out for Spain, Italy, the Netherlands, Germany and Finland, using their SUTs for 2006. The findings indicate that, in general, biases are statistically significant but negligibly small. This corroborates earlier findings obtained for stochastic I–O tables.     

The entrepreneurial motivation in academia: a multidimensional construct

In this paper we propose a model to analyse the motivation of academic entrepreneurs that comprises six dimensions: personal, relating to the entrepreneurial opportunity, to scientific knowledge, to the availability of resources, to the incubator organization, and to the social environment. The model is tested based on information from a survey administered to 152 Spanish academic entrepreneurs. Our results show that entrepreneurial opportunity is not part of the entrepreneurial motivation, but is of the utmost importance to academic entrepreneurs. Also, we find the scientific knowledge is the main driver of entrepreneurial activity in the academia.     

Why some firms adopt telecommuting while others do not: A contingency perspective

Using a contingency perspective and data from 122 CEOs of Spanish firms, this paper examines what makes a firm likely to adopt telecommuting. We hypothesized that employer adoption of telecommuting would depend on organizational constraints (age and size of the firm), the international composition of the workforce, and the top executives' leadership style. In turn, we argue that firms adopting telecommuting would emphasize outcome‐based control systems. Our empirical evidence showed that telecommuting correlated with small organizational size, a high proportion of international employees, and variable compensation. A contingent reward leadership style at the top moderated the effects of firm age and internationalization on the adoption of telecommuting. © 2009 Wiley Periodicals, Inc.     

Characteristics of Portuguese public‐sector project managers: Toward closing the effectiveness gap

Using a sample of 102 Portuguese public‐sector officials with project management experience, this study examines the characteristics of effective project managers in the Portuguese public sector. Factor‐analysis procedures are used to identify the factors related to areas of knowledge relevant to effective project management. The results appear to stress the increasing importance of people, organizational, and leadership skills in the effective management of today's complex and dynamic projects.     

Structural VAR and financial networks: A minimum distance approach to spatial modeling

In this paper, I interpret a time series spatial model (T-SAR) as a constrained structural vector autoregressive (SVAR) model. Based on these restrictions, I propose a minimum distance approach to estimate the (row-standardized) network matrix and the overall network influence parameter of the T-SAR from the SVAR estimates. I also develop a Wald-type test to assess the distance between these two models. To implement the methodology, I discuss machine learning methods as one possible identification strategy of SVAR models. Finally, I illustrate the methodology through an application to volatility spillovers across major stock markets using daily realized volatility data for 2004–2018.     

Financial information,green certification,government subsidies and green bond credit spreads–evidence from China

In the context of green bonds playing an increasingly vital role in the green financial market, this study selects 61 green bonds issued in China from 2016 to 2021 as samples to examine the factors influencing green bond credit, including financial information and ratings of issuers, green certification, and government subsidies. First and foremost, based on AHP and entropy method, the financial composite index is constructed to evaluate the issuers’ finance. Additionally, the differences in the cost of green bonds issued by state-owned enterprises (SOEs) and semi-enterprises are explored by adding the property rights variable. Empirical results indicate that the issuer’s rating could significantly affect the credit spread. In addition, the green bond credit spreads of SOEs are more competitive than those of semi-enterprises. When the issuer is a SOE, green bond credit spread has a remarkable negative correlation with finance information. Furthermore, green certification and government grants are not the main factors. Finally, the green bond market, crucial to controlling the green financial system, is presented with specific recommendations for its growth in this study.

     

WHY FREE MARKETS SHOULD NOT BE BLAMED FOR THE CURRENT RECESSION

Interventionist thinkers are now claiming intellectual victory, blaming the free‐market system and its ideology for the current economic collapse. We find this thesis untenable, drawing on the Austrian Business Cycle Theory. Instead, we argue that the roots of our present downturn lie in the monetary system, whose institutional structure is far from any free‐market ideal. Moreover, several government policies have contributed to the problems.