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The purpose of this paper is to empirically analyze individual level determinants of Italian secondary school graduates’ educational choices.

The authors rely on data provided by a large survey carried out by the Italian National Institute of Statistics. While previous contributions specifically focus on individual determinants of university enrollment, the authors model graduates’ choice as emerging from a comparison of three alternative options: stop studying in order to enter the job market, continue studying at University and attend a post-secondary professional course. Therefore the multinomial logit estimates enable to define the profiles of high school graduates making different post-secondary educational choices.

On the one hand, the authors find that having a good family background, with highly educated parents who hold prestigious professional positions, is associated to a preference for enrollment at university rather than stopping studying. This correlation is both direct and through the choice of academic-oriented secondary school track. On the other hand, the choice of attending professional courses rather than stopping studying seems to arise mainly from the type of secondary school track attended even if some family background characteristics influence the probability of stop studying instead of attending a professional course. Overall the results show that family background significantly affects post-secondary educational choices.

This paper is different from previous contributions because – more realistically – considers the Italian secondary school graduates as having three alternative options available: put themselves on the job market, continue studying at university or enroll on professional course.

The COVID-19 pandemic, in addition to causing a very serious economic crisis, has slowed the path taken toward achieving gender equality. For example, the closure of third sector activities by governments has meant the loss of many jobs in this female-dominated sector (ILO, 2020; UN, 2020) slowing and hindering the professional careers of many women (Carli, 2020).

The objective of this work is to identify gender differences by analyzing the levels of sustainable development achieved by Italian regions. The Italian case in fact is very peculiar due to its historical territorial gap between the regions of the North (among the most developed) and those of the Center-South, which still show high gender inequalities. A Gender Sustainable Development Index (GSDI) will be constructed through the use of 50 indicators from the Benessere Equo e Sostenibile survey of Istat. The technique used is the stacking method (Landi, Ivaldi, & Testi, 2017; Norman, 2010), which was chosen for its high replicability of results. The results show that only 40% of Italian regions have higher levels of female sustainable development than male sustainable development. Moreover, the regions with the worst levels of both female and male sustainable development are located in the Center-South of the country, confirming the strong territorial gap present within the Italian Peninsula.

The purpose of this study is to validate an explanatory structural equation model for the evaluation of territorial branding tourism policies for local development and its application in cities in Mexico and Colombia.

A sample was calculated for finite populations of residents in the municipalities of Girón Santander, Colombia and El Fuerte, Sinaloa, Mexico, of 125 individuals for each locality, in total, 250 individuals. The study includes three latent variables, which in turn constitute three models (Model 1: State and Public Policies; Model 2: Territorial Brand for Development; Model 3: Local Development) to explain the multiple relationships with the observable variables. The results were analyzed by using IBM AMOS software (SPSSS Extension), using the maximum likelihood method.

Multiple relationships between the variables were evident, with excellent to acceptable indices. Model 1 (CMIN/DF = 1.742; CFI = 0.948; RMSEA = 0.057; PClose = 0.059) Model 2 (CMIN/DF = 1.528; CFI = 0.921; RMSEA = 0.073; PClose = 0.044). Model 3 (CMIN/DF = 3.210; CFI = 0.951); RMSEA = 0.057; PClose = 0.049), obtaining an adequate fit. The correlations between the variables reveal that the tourism policy is weak in both contexts, in its implementation in terms of the participation of residents in decision-making with respect to the management of the policy and in the lack of education and training of collaborators/workers to provide a better tourism service.

It was possible to establish that the measurement model is applicable in the municipalities of the two countries by considering the similarities in tourism policies, as well as the differences (social, cultural, political and economic), but with a need for explicit articulation between the pillars of the territorial brand with the legitimized public policy.

This study contributes to the generation of new knowledge in relation to territorial branding from residents, within the framework of a tourism policy, allowing to establish its limitations in terms of implementation.

The purpose of this paper is to offer a commentary on the implementation of the Guidelines for Crime Prevention through Environmental Design (CPTED) in New Zealand. Published in 2005, the guidelines represented a significant shift in both the appreciation and awareness of CPTED amongst its built environment professionals and those involved in crime prevention. The author refers to a case study from Maraenui, New Zealand, which demonstrates a holistic approach to regeneration through community involvement and decision making.

The paper is an invited opinion piece and comment based upon the specialist experience and viewpoint of the author as an urban designer with an Australasian multi-disciplinary design company. Through the use of a case study, the author discusses creative solutions to reducing crime that has helped to promote and support a more resilient future for Maraenui.

The author explores the realities and challenges to progressing the practice and evaluation of CPTED in New Zealand, and outlines, in his opinion, what actions may impact its future direction and success.

On the basis of their experience, the author argues the need for four key actions that he believes are required to advance CPTED in New Zealand.

This paper deals with analyzing the relationships between the domains of the Sustainable Development Goals (SDGs) and the Missions envisaged by the National Recovery and Resilience Plan (NRRP). Specifically, the authors refer to Mission 2 (Green revolution and ecological transition) and to the statistical indicators related to the M2C1 component (Circular economy and sustainable agriculture).

The numerous data available were analyzed at a regional level using multivariate statistical methodologies (Totally Fuzzy and Relative method) capable of summarizing the various information to evaluate the current situation relating to the “circular economy and sustainable agriculture” component. The presence of multiple updated data allows for the development of a holistic approach to the evaluation of the local government policies in place and to be able to monitor the progress of the subsequent intervention policies of the Italian government.

No Findings.

NRRP represents an opportunity for development for the area, providing for reforms and substantial investments for the promotion of circular economy solutions, the improvement of the capacity for efficient and sustainable waste management, the strengthening of the infrastructures for treatment of waste and separate collection, the reduction of the North/South gap.

This paper aims to study through a comprehensive set of socioeconomic indicators the regional level of well-being achieved in Romania, and monitor the improvements and disparities in well-being after a decade of accession to the European Union.

A dashboard of 20 socioeconomic indicators for measuring nine dimensions of well-being for Romanian counties is proposed. Using the Adjusted Mazziotta-Pareto method are built composite indicators, which allow us to assess the trend of overall welfare scores for each county. The data are collected at the county level, for 42 counties, and each year from 2006 to 2017, from administrative sources.

The overall well-being index has an increasing trend for all counties, but the growth rate varies from one county to another. The economic factors, geographic location and share of the urban population matter. For most counties, the evolution of well-being scores is below that recorded at the country level. Romania has registered significant improvements in health, housing, income and access to public utilities dimensions. The counties are ranked by level of well-being. Some empirical measures suggest a slight tendency of socioeconomic disparities to increase over time.

The paper attempts to fill some gaps in measuring the level and disparities of welfare in a fast-growing emerging economy. The Romanian regional context is to a lesser extent explored in a multidimensional approach, from spatial and temporal points of view.

This paper aims to examine the COVID-19 pandemic’s impacts on the regional progression toward the Sustainable Development Goals (SDGs) through the lens of the adoption of 2030 Agenda by firms from different Italian regions.

Mixed methods were adopted. First, a content analysis was performed on 330 nonfinancial declarations released in the 2019–2021 period by a sample of 110 Italian listed companies from different regional macroareas. Second, regression analyses were run to test the impact of regional localization of businesses on SDGs adoption over pre-/during/post-COVID era.

The regional localization of businesses does not affect the SDGs adoption in the pre-COVID-19 era because Italian firms mainly address social goals. Instead, SDGs adoption is affected by regional localization of businesses both during and post-COVID-19 age, when Northern firms prioritize economic and social goals, whereas Southern firms shift from social to environmental goals.

This study fills the need of considering the subnational specificities in literature on sustainable development by capturing connections between firms, belonging territory, SDGs and COVID-19 crisis.

The purpose of this paper is to examine the impact of the assessment procedure under the European Union Habitats Directive. The wider scope of this procedure together with the lack of detail as to its requirements has originated from an important body of case law from the European Court of Justice. The Court has steadily clarified some of the key matters underlying the procedure. Its case law now represents a significant constraint for development plan and projects affecting Natura 2000 sites.

The methodology is based on the analysis of the directive’s text [Article 6(3) and (4)] in the light of the case law. This paper aims to highlight the relevant findings of the European Court and how they limit the prima facie discretion on the part of the Member States.

The basic findings could be summarised as follows: the environmental assessment procedure under the Habitats Directive represents a strong tool for controlling activities affecting Natura 2000 sites. Unlike the other environmental assessment directives, a negative conclusion concerning their effects precludes any execution. Significant territorial gaps between plans and projects and Natura 2000 sites do not necessarily avoid the carrying out of complete assessments. The conjunction between a general duty to prevent the deterioration of sites and environmental assessments requires that projects authorised before the designation of sites may be subject to this procedure.

The originality of this paper is based on a structured presentation of the key matters surrounding the assessment procedure in the light of the recent case law.

This paper studies social inequality in the vital field of employment in Spain during the crisis period 2009-2014.

Factor analysis is used to build a synthetic index of employment exclusion. The starting information matrix collects data from a wide set of employment variables for all 17 Spanish autonomous communities and the autonomous cities of Ceuta and Melilla. Based on this information, four factors are extracted which explain employment exclusion in different situations of vulnerability, such as unemployment, temporality, poverty or low pay.

In the territorial ranking, Madrid, Basque Country, Aragon and Catalonia show the lowest risk of employment exclusion, whereas Ceuta, Andalusia, Extremadura and Canary Islands show the highest ones.

The main value of this research is that it confirms the need for coordination of public policies in order to foster social and territorial cohesion in Spain.

The objective of this paper is to analyze the relationship between innovation and the development of artificial intelligence (AI) and digital technologies in Europe. The use of digital technologies among European companies is studied through a composite index, while the relationship between innovation and AI is studied through a log-linear regression model. The results of the model have made possible to develop interesting indications for economic and industrial policy.

The use of digital technologies among European companies is studied through a composite index of AI and information technology (ICT) (using the Fair and Sustainable Welfare methodology) with the aim of measuring territorial gaps and to know which European countries are more or less inclined to its use, while the relationship between innovation and AI is studied through a log-linear regression model.

In the paper, two different methodologies were used to analyze the relationship between innovation and the development of digital technologies in Europe. The synthetic indicator made possible to develop a taxonomy between the different countries, the log-linear model made possible to identify and explain the determinants of innovation.

The description of the biunivocal relationship between innovation and AI is a topical and relevant issue that is treated in the paper in an original way using a synthetic indicator and a log-linear model.

本文旨在探討在歐洲、創新與人工智能和數字技術的發展之間的關係。研究人員透過一個綜合指數、去探討歐洲公司之間數字技術的使用狀況。至於創新與人工智能之間的關係, 則以對數線性回歸模型來進行研究。從模型所得的結果, 為我們提供了建議、去訂定適切的經濟和產業政策。

研究人員透過一個人工智能和資訊科技的綜合指數, 去探討歐洲企業之間數字技術的使用狀況 (研究人員使用了公平和可持續福利方法論), 其目標為測量領土差距, 以及確定哪些歐洲國家、大體上傾向於使用數字技術;至於創新與人工智能之間的關係, 則以對數性回歸模型來進行研究。

本文使用了兩個不同的方法、去探討在歐洲、創新與數字技術發展之間的關係。有關的合成指標, 使研究人員可製定一個不同國家間的分類法;而有關的對數線性模型, 則讓研究人員可確立並說明創新的決定因素。

本文使用了合成指標和對數線性模型、去探討創新與人工智能之間的一對一的關係, 這是時下受到關注和適宜的課題;就研究法而言, 本研究確是新穎獨創的。