Search results

The purpose of this paper is to evaluate the international position of Estonia among the member states of the EU and countries closely associated with the EU, from the perspective of the effect of research and development (R & D) policy on innovation activities in the business sector.

Based on existing scientific research literature on the relationships between R & D policy and business sector R & D activities and innovation performance, a set of indicators describing R & D policy measures was created for the business sector. Using principal component analysis (PCA) method, independent robust dimensions of R & D policy were brought out. After eliminating the problem of multicollinearity in R & D policy indicators, robust multiple regression models were conducted to present a comprehensive empirical description of the shaping of business sector R & D and innovation activities in the sample of investigated countries.

Based on the literature, the influences of R & D policy measures on business sector R & D activities and innovation performance were systemised; public R & D policy dimensions were empirically defined; the intensity of R & D policy influence on business sector R & D activities was estimated; the differences between real and prognostic values of business sector performance indicators in Estonia were calculated in order to characterise the efficiency of Estonian R & D policy and the influence of the socioeconomic environment.

The lack of comparable data describing R & D policy and R & D activities and innovation performance in the business sector limits the comprehensiveness of the analysis (i.e. the number of analysed indicators).

The assessment and comparative analysis of the influence of R & D policy components on business sector R & D activities and innovation performance in different countries makes it possible to identify directions for increasing the efficiency of R & D policy under the specific influence of the socioeconomic environment, especially in new member states of the EU.

Using the PCA method significantly increased the robustness of the macro-quantitative description of R & D policy dimensions. By combining the set of new synthetic R & D policy indicators created by the PCA with the multiple regression analysis method, a significant increase in the robustness of model coefficients (i.e. the assessments of influence intensity) was achieved. These robust models create the basis for reliable empirical assessment of the influence of R & D policy and a comparative analysis of the results.

The increasing risk of natural disasters is challenging humanitarian actors to create resilient disaster management systems. However, the role of the private sector in disaster management operations (DMOs) is not as prominent as the role played by (inter)governmental agencies. This article aims to investigate the relationship of collaboration and resilience in disaster management supply networks (DMSNs).

Supply network resilience criteria were defined as robustness, flexibility, velocity and visibility based on the literature review. DMSN capabilities were identified characterising each resilience criterion through the development of the Collaboration–Resilience (COLRES) Analysis Framework for DMSNs. This theoretical model was then applied to an empirical case study in the Philippines using semi-structured interviews for data gathering.

A total of 46 cross-sector collaboration activities were identified across four disaster management phases and linked to the resilience criteria. A causal analysis of each collaboration activity and its outcome was conducted to identify relationships between collaboration types and resilience constructs. Based on these results, patterns were identified, and dependencies between collaboration and resilience were defined. Collective DMSN resilience (DMSNRES) enabled by existing cross-sector collaboration activities was evaluated against a future disaster scenario to identify resilience gaps. These gaps were used to recognise new cross-sector collaboration opportunities, thereby illustrating the continuous process of resilience building.

This research provides new insights on how private sector is involved within a DMOs through collaboration with the government and other NGOs. It augments existing literature on private sector involvement in DMOs where common perception is that the sector is only involved in short-term response and recovery activities. This study finds that the private sector can be operationally involved not just in post-disaster activities, but also in mitigation and preparation phases as well. This then sets a new baseline for further research on private sector involvement within DMOs. As this study provided a novel framework to analyse collaboration activities and its impact to DMSN resilience, future work could be done by applying the model to further cases such as other countries'. DMSNs, or to more specific contexts such as inter-organisational collaborations rather than big sectors. A more detailed assessment method against a future disaster will prove relevance for the model in providing practical insights on how resilience can be built in DMSNs.

This research proposed a novel DMSN collaboration-resilience (COLRES) model (Figure 11) to analyse existing processes in preparation for specific disasters. Practitioners may be able to use this model with the goal of identifying resilience gaps to fill and continuously improve their processes. The model also provides practitioners the lens to improve processes with the perspective on collaboration to complement government and NGO efforts and expertise with those of the private sector. For the private sector perspective, this research provides new insights on how they can be more involved with the community to provide more sustainable and long-term contributions to the society.

With disasters becoming more complex and frequent by the day and as humanitarian actors focus on improving their expertise, the need for every piece of the society to contribute to disaster risk reduction is continuously intensified. This research shows that each sector of the society can take part in disaster management operations to reduce unpredictability, lives impacted and increase speed of response and recovery. Each sector of the society can be of great contribution not only during post-disaster response and recovery but also during pre-disaster mitigation and preparedness phase. As such, this research echoes the call for everyone to be involved in disaster risk reduction and mitigation as a way of life.

This research ultimately finds that cross-sector collaboration builds resilience in DMSNs through capacity building, redundancy sourcing, information reliability and logistics responsiveness. This study shows that the private sector is able to go beyond existing short-term partnerships by participating in the 46 collaboration activities identified across four disaster management phases in order to build resilience in DMSNs.

This article aims to evaluate the entry and exit of companies from local productive structures, with a specific focus on the sectoral complexity of these activities and the complexity of these portfolios. The study focuses on empirically demonstrating the thesis that related economic diversification exacerbates the development gap between more and less complex regions.

The article uses indicators formulated by the economic complexity approach. They allow a relevant descriptive analysis of the economic diversification process in Brazilian micro-regions and provide the foundation for the econometric tests conducted. Through three distinct estimation strategies (OLS, logit, probit), the influence of complexity and relatedness on the entry and exit events of firms from local portfolios is tested.

In all estimated models, the stronger relationship between an activity and a portfolio significantly increases its probability of entering the productive structure and, at the same time, acts as a significant factor in preventing its exit. Furthermore, the results reveal that the complexity of a sector reduces the probability of its specialization in less complex regions while increasing it in more complex regions. On the other hand, sectoral complexity significantly increases the probability of a sector leaving less complex local structures but has no significant effect in highly complex regions.

Due to the data used, the indicators are calculated considering only formal job numbers. Additionally, the tests do not detect the influence of spatial issues. These limitations should be addressed by future research.

The article characterizes a prevailing process of uneven development among Brazilian regions and brings relevant implications, primarily for policymakers. Specifically, for less complex regions, policies should focus on creating opportunities to improve their diversification capabilities in complex sectors that are not too distant from their portfolios.

The article makes an original contribution by proposing an evaluation of regional diversification in Brazil with a focus on complexity, introducing a more detailed differentiation of regions based on their complexity levels and examining the impact of sectoral complexity on diversification patterns within each group.

The purpose of this paper is to analyse the evolution of the world‐wide diffusion, according to industrial sectors of activity, of the ISO 9000 family of quality standards.

Using data provided by the ISO itself, the evolution of the world‐wide diffusion of the ISO 9000 family of standards from 1998 to 2008 is studied. Using two indices of instability, these data are then analysed in terms of individual industrial sectors to assess the heterogeneity of diffusion across different sectors of activity.

The results show that the diffusion of ISO 9001 follows a logistic curve in all sectors, although the current stage of diffusion (in terms of initial stage, expansion stage, and saturation stage) differs between different sectors of activity. The sectors have been classified into three groups according to their possible future evolution.

Because the analysis of prediction is based on mathematical models, the validity of the data is crucial. Two weaknesses are detected in the data: the number of certificates during the transition period 2001‐2003; and the number of certificates in 2008. However, both weaknesses are overcome in the paper.

The paper presents the first study of the heterogeneous diffusion pattern of ISO 9001 in different sectors of activity.

Outsourcing is one of the fastest‐growing and arguably most important areas of business activity. This article examines the differing motivations behind and approaches to outsourcing of public and private sector organisations in the UK, and what they can learn from each other. It compares the experiences of a police force with that of a financial services company and concludes that neither appears to have a monopoly on good practice, but that the private sector could benefit from the public sector’s more structured approach, while the latter could benefit from the more strategic orientation of the private sector.

This work analyzes the economic impact of an economic crisis on consumption in Spanish households, detecting inequalities in household consumption according to the age of the main breadwinner and changes in consumption patterns. In particular, the effects of the financial crisis of 2008 on household consumption are studied and divided according to the main breadwinner's age group to obtain the economic impact of the fall in consumption in young households.

The input–output tables of the Spanish economy during the years 2005 and 2015 and data on household consumption based on age group have been used. Economic impact is estimated through multisector modeling, specifically a demand model expressed in monetary terms. This model allows us to obtain the direct impact on the sectors offering the demanded services and the indirect impact due to increase in intermediate demand from these sectors on the rest of them.

The results obtained show the changes in household consumption and its effects on different productive sectors, highlighting the following sectors: real estate activities, electricity, gas, steam and air conditioning supply, accommodation and food service activities and manufacturing.

This study measures the impact of an economic crisis on the consumption of young households, analyzing all groups of households according to the main breadwinner's age, with the added value of studying the impact of this variation on household consumption and quantifying the positive and negative impact on the different sectors of activity of the Spanish economy.

The health emergency resulting from the SARS-CoV-2 virus is a public health crisis with serious effects on all social dimensions. This chapter has estimated the effects that this pandemic could potentially have on tourism activities in Ecuador. The scenario methodology was the method of choice since it allows analyzing the environment and comparing different internal and external factors, placing them in a future context for the tourism sector. The data were obtained using the following: (1) UNWTO estimates anticipate that the pandemic will cause a decrease in tourist arrivals and income between −50% and −78% across the world; and (2) a simulation of the pandemic's possible impacts on employment, production and taxes that would cause drops of 50%, 70% and 78% in the demand for accommodation and food and beverage services that represent economic activities that are directly related to tourism.

The results confirm that in scenario 1, losses will amount to 1.327 million US dollars; in scenario 2, to 1.600 million USD; while for scenario 3, the country will stop receiving more than 1.700 million USD. Eight sectors of the economy will suffer 95% of the impact on job loss: the food and beverage service stands out from the rest, since 77 out of 10 jobs lost will come from those types of activities. The two other sectors that would suffer significant impacts would be trade and accommodation activities, which account for 8% and 5%, respectively, of the total number of jobs lost.

The purpose of this paper is to analyse the characteristics of women entrepreneurs operating in the informal sector in Mauritius and to investigate the impact of women entrepreneurship on their own livelihoods and that of their families.

Using survey data on 158 women entrepreneurs operating in the informal sector, the authors analyse whether there has been an improvement in the standard of living of women entrepreneurs as a result of their informal entrepreneurial activities.

Findings reveal that the informal sector has provided a self-employment outlet for unemployed and retrenched women in Mauritius. Even if for a majority, their earnings remain low, their informal activity has indeed helped to contribute to their livelihood and household earnings.

Research on informal sector businesses is fraught with limitations, given that these firms operate on the fringes of legality and data are thus a major issue. Hence interviewing owners of informal sector businesses to get relevant data is quite challenging.

The results indicate that informal entrepreneurial activities contribute positively to women's livelihoods, hence policy should be aimed at encouraging women agency even if it is in the informal sector.

The study helps to shed light as to whether entrepreneurship even if it exists in the informal sector helps to improve the living of these women and their families.

This study is innovative as it investigates the livelihood of a vulnerable section of the population, in this case, women entrepreneurs operating in the informal sector. The authors find that the informal sector provides women with higher income when they are married and are more formally educated.

This paper combines the objective information of six mixed-frequency partial-activity indicators with assumptions or beliefs (called priors) regarding the distribution of the parameters that approximate the state of the construction activity cycle. Thus, this paper uses Bayesian inference with Gibbs simulations and the Kalman filter to estimate the parameters of the state-space model, used to design the Imacon.

Unlike other economic sectors of similar importance in aggregate gross domestic product, such as mining and industry, the construction sector lacked a short-term measure that helps to identify its most recent performance.

Indeed, because these priors are susceptible to changes, they provide flexibility to the original Imacon model, allowing for the assessment of risk scenarios and adaption to the greater relative volatility that characterizes the sector's activity.

The classic maximum likelihood method of estimating the monthly construction activity index (Imacon) is rigid to the incorporation of new measures of uncertainty, expectations or different volatility (risks) levels in the state of construction activity. In this context, this paper uses Bayesian inference with 10,000 Gibbs simulations and the Kalman filter to estimate the parameters of the state-space model, used to design the Imacon, inspired by the original works of Mariano and Murasawa (2003) and Kim and Nelson (1998). Thus, this paper consists of a natural extension of the classic method used by Tejada (2006) in the estimation of the old Imacon.

The aim of this chapter is to explore the economic impact of the ICT sector in the Greek economy. In the first stage of this study, the ICT sector is identified as a composite agglomerate of various manufacturing and service industrial sectors of the economy, following its international definition introduced by OECD. Under this concept, we explore the main structural indicators of its business activity and quantify its impact in the Greek economy (in terms of production value, GDP, investment, and employment), utilizing the basic principles of Input-Output analysis. We further investigate the ICT sector’s linkages with other industries as a ‘route’ for technology and innovation diffusion in the Greek production system by approximating the ICT sector as the enabling force for the digital transformation of production in the face of Industry 4.0. The empirical results of this analysis are accompanied by a review of some key qualitative characteristics of the sector and elaborate on major challenges and relevant policy implications that arise.