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This paper examines the underexplored impact of the procedures in public contracts on market allocation efficiency that are at risk of corruption. We integrated the GMM-SYS estimator with analyses of a balanced panel database of all the provinces in Italy between the period 2013–2021. The use of a high level of spatial granularity in an under-researched context revealed two distinct scenarios. In competitive markets, a more entrepreneurial and less widespread form of corruption emerged which may enhance market efficiency (bottom-up pattern). Conversely, in a context with limited market competition and low institutional quality, corruption indicators may be less useful due to potential pre-bribery behavior (top-down pattern). Our study underscores the capacity of corrupt suppliers to exploit market opportunities and secure selection. We found that corruption risk practices within public contracts have the potential to improve market efficiency, thus rendering them appealing to corrupt suppliers due to their capacity to deliver economic advantages. This also applies to provinces with high-quality governance. Additionally, the paper highlights the limitations of indicators in alternative contexts. The paper has significant implications for policymakers in defining assignation criteria in high-quality contexts, but also offers insights into the effectiveness of grand corruption indicators for academics. • Examines the impact of public contract procedures on market efficiency. • GMM-SYS estimator and innovative matching DID for panel analysis. • Bottom-up corruption in competitive markets, top-down in less competitive ones. • Corrupt suppliers exploit market opportunities, enhancing efficiency. • Offers insights in assignation criteria, and limitation of indicators. [ABSTRACT FROM AUTHOR]

This paper explores the relationship between the presence of organised crime into the local socio-economic fabric and educational outcomes in Southern Italy. For this purpose, we rely on different indices of organized crime, the main of which is the well-established Mafia Presence Index (IPM), a composite indicator capturing manifold dimensions (activities, violence, political, and economic infiltration) of the presence of Mafia -type organizations on the national soil. These indices proxy the (scale of) negative Mafia -type values that permeate a local society and that are likely to hinder educational achievements, distorting the incentives of both the youngsters (and/or their parents) to invest in human capital and the local firms to employ those who decide to make this investment. Furthermore, combining contemporary individual-level educational outcomes with historical data on Mafia infiltration, we control for endogeneity concerns through an IV strategy. We provide evidence that the presence of organised crime at local level significantly decreases the scores achieved by primary school students, undertaking the INVALSI test for literacy in Southern Italy. Our results are robust to the use of different measures of organised crime, to the inclusion of different sets of controls, different subsamples and to relaxing the exclusion restriction in the IV strategy. • We explore the link between organized crime (OC) and education outcomes (EO) in Italy • We claim that OC can hinder EOs by distorting incentives to invest in human capital • We rely on different indices of OC at the local level • We find that an increase in OC leads to a decrease in EOs • Results are robust to different controls, subsamples and to IV strategy [ABSTRACT FROM AUTHOR]

The spread of the Covid-19 pandemic in Italy, in the period March–May 2020, quickly triggered a deep crisis, causing an immediate economic slowdown and consequently a strong contraction in domestic demand and trade. The food supply chain faced severe difficulties, although its anti-cyclical nature allowed for greater resilience compared to other economic sectors. In this framework of ongoing uncertainty, it is important to understand the response of farms to the crisis, and their role in the sustainability of the post-pandemic food supply chain, even for future policy interventions in the short and medium term. The purpose of the paper is to investigate how diversification affected the response of farms to the Covid-19 crisis, and explore whether the changes required by the post-crisis scenario can produce opportunities for their activities. The study investigates a sample of fifteen farms in central Italy through semi-structured interviews, performing a lexicon-based text and sentiment analysis. The results highlight the importance of farm diversification in dealing with the Covid-19 crisis, and emphasise the role of diversified farms for the sustainability of the agri-food system. These results have interesting policy implications, particularly regarding support for the competitiveness of farms by improving sustainable logistics, electronic commerce and exchanges of knowledge and innovations among farmers; these measures should be taken into account to target the future agricultural, rural and food policies, at both national and local level. • The first Covid-19 pandemic wave in March–May 2020 strongly hit the Italian food supply chain. • A direct survey on 15 diversified farms was carried out, through semi-structured interviews. • Text and sentiment analysis were applied to understand how farmers tackled the challenges of the crisis period. • Results stress the importance of farm diversification during the pandemic wave. • Policy interventions to reinforce competitiveness are needed to overcome the crisis. [ABSTRACT FROM AUTHOR]

The spread of the Covid-19 pandemic in Italy, in the period March–May 2020, quickly triggered a deep crisis, causing an immediate economic slowdown and consequently a strong contraction in domestic demand and trade. The food supply chain faced severe difficulties, although its anti-cyclical nature allowed for greater resilience compared to other economic sectors. In this framework of ongoing uncertainty, it is important to understand the response of farms to the crisis, and their role in the sustainability of the post-pandemic food supply chain, even for future policy interventions in the short and medium term. The purpose of the paper is to investigate how diversification affected the response of farms to the Covid-19 crisis, and explore whether the changes required by the post-crisis scenario can produce opportunities for their activities. The study investigates a sample of fifteen farms in central Italy through semi-structured interviews, performing a lexicon-based text and sentiment analysis. The results highlight the importance of farm diversification in dealing with the Covid-19 crisis, and emphasise the role of diversified farms for the sustainability of the agri-food system. These results have interesting policy implications, particularly regarding support for the competitiveness of farms by improving sustainable logistics, electronic commerce and exchanges of knowledge and innovations among farmers; these measures should be taken into account to target the future agricultural, rural and food policies, at both national and local level. • The first Covid-19 pandemic wave in March–May 2020 strongly hit the Italian food supply chain. • A direct survey on 15 diversified farms was carried out, through semi-structured interviews. • Text and sentiment analysis were applied to understand how farmers tackled the challenges of the crisis period. • Results stress the importance of farm diversification during the pandemic wave. • Policy interventions to reinforce competitiveness are needed to overcome the crisis. [ABSTRACT FROM AUTHOR]