This paper investigates the effect of ownership on sustainable development and environmental policy in Italian municipally owned corporations (MOCs) dealing with urban waste management, trying to understand if multiple ownership can generate better performance compared to single ownership and if the presence of private partners could be crucial in this. The research question is answered by analyzing 41 MOCs of the largest Italian cities operating in urban waste management. In this specific sector, public administrations have tried to improve their offer in terms of sustainable development, environmental policy, and efficiency. The paper covers the Italian case study, where urban waste production per capita is higher than the European average figure. The waste cycle management service is operated in Italy at local level through totally publicly owned companies (monoadministration or multiadministration), mixed (public–private) companies, or via a full externalization achieved by means of public tenders. Through a multinomial ordered probit panel, we show that MOCs with multiple owners perform better than those having a single owner and perform much better with the presence of a private partner, confirming those academic findings according to which collaborative arrangements can increase efficiency, do better than public sector bureaucracy, and lower the costs of service provision. The results of this paper can be used by academics, practitioners, and policy makers alike. To the best of our knowledge, this is the only study that applies this perspective to the analysis of the current international waste management scenario with relation to MOCs having multiple ownerships.
The sustainable social enterprises (SEs) literature shows that SEs have to simultaneously pursue economic, social, and environmental aims. However, tensions between these objectives can make this a challenging task and lead towards mission drift. This work investigates if the cultural dimension can forecast the mission drift. We empirically analyze this relationship in three stages. In the first stage, we identify a homogeneous dataset of 287 sustainable SEs from seven EU countries from 2011 to 2020. Then, in the second stage, we apply the data envelopment analysis (DEA) methodology to calculate the efficiency of the SEs. An efficient SE has to simultaneously achieve social, environmental, and economic aims. We calculate a proxy of the mission drift and generate a dichotomous category variable that assigns value 1 to the SE not affected by mission drift, 0 otherwise. In the last stage, we implement the 2SLS logistic regression between the variable that identifies the SEs affected by mission drift and three cultural dimensions: avoidance of uncertainty, masculinity, and short‐term orientation.
This study examines the relationship between corporate social responsibility (CSR) and corporate financial performance (CFP), shedding new light on the lack of academic consensus and prevailing failure to deal with endogeneity in data. To this purpose, the authors recalculate ESG performance starting from the four pillars (economic, environmental, governance and social) provided by Thomson Reuters’ Asset4 database, able to determine a firm’s CSP. We adjust each ESG pillar score accounting for the firm’s sector, size and headquarter geographic area. We empirically test the relationship with a Generalized Method of Moments approach (GMM) in order to tackle the widely disputed endogeneity issues arising in this type of datasets.
Results highlight a positive relationship between CSR, as measured in a tailored manner in this study, and corporate financial performance.
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