Transition towards the artificial intelligence via re-engineering of digital platforms: comparing European Member States

Marino, Alfonso; Pariso, Paolo; Picariello, Michele

doi:10.9770/jesi.2022.9.3(21)

Cited by 10 publications

(3 citation statements)

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“…Most scholars study the impact of the digital economy on coordinated urban-rural development from the perspective of the gap between urban-rural income and consumption. Some scholars have noted the importance of digitisation in the public sector and that digital public platforms can provide better and equal access to public services across different sectors, which can reduce divisions and inequalities between countries, the private and public sectors, and urban and rural areas [11,12]. However, the academic community has yet to determine whether the expansion of the digital economy would enable the "digital dividend" and thus promote coordinated urban-rural development or whether it would worsen the "digital divide" and, in that way, inhibit coordinated urban-rural development [13]; their findings are still highly controversial.…”

Section: Introductionmentioning

confidence: 99%

Does the Digital Economy Promote Coordinated Urban–Rural Development? Evidence from China

Cheng

Zheng

2023

Sustainability

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Urban–rural coordination development is a key factor in achieving sustainable development. The research sample consisted of panel data for 30 provinces in China for the period from 2011 to 2020. Our aim was to investigate whether and how the digital economy affects coordinated urban–rural development by using a panel data model, a spatial Durbin model (SDM), and a mediating effects model. The results indicate that (1) the growth of the digital economy has increased the level of coordinated urban–rural development directly and indirectly; (2) the coordinated development of urban and rural areas and the spatial distribution of the digital economy are highly correlated, with eastern regions generally experiencing a high level of agglomeration and central and western regions having a low level of agglomeration; (3) the digital economy can promote coordinated urban–rural development by reducing the income gap between urban and rural areas; and (4) the direct and the spatial promotion effects of digital economy development on coordinated urban–rural development appear to be stronger in the eastern region, insignificant in the central region, and to have a significant direct inhibition, as well as a significant spatial spillover effect, in the western region. This study provides a reference for China and other developing countries similar to China on how to promote coordinated urban and rural development in the development process of the digital economy.

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Section: Introductionmentioning

confidence: 99%

Does the Digital Economy Promote Coordinated Urban–Rural Development? Evidence from China

Cheng

Zheng

2023

Sustainability

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“…For example, scholars such as Li Xing and Ma Xiaojing adopted the steady-state open economic model proposed by Barro and Sala-i-Martin, respectively using a lag of 30 periods [17]. The ratio of the number of employees in state-owned enterprises and the per capita arable land area are used as instrumental variables, and the GMM estimation method is used to solve the endogeneity problem of entrepreneurs [18]. These achievements have greatly promoted the empirical research of entrepreneurial theory, but there are also some shortcomings: first, although there is a great breakthrough in the selection of instrumental variables, the validity of instrumental variables needs to be further explained and confirmed; The analysis of the dynamic economic model only pays attention to the influence of the dependent variable with a lag of one period, which is not consistent with the time interval of entrepreneurs' "destructive innovation" and the status quo of China's economic inertia, which partially affects the explanatory power of the model [19].…”

Section: Introductionmentioning

confidence: 99%

Entrepreneurship cultivation and application modeling of artificial intelligence under the construction of "Three regions and One District" in Anhui Province

Jiang,

Hu,

Dong

2023

Preprint

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As a double border area of eastern and central areas, anhui "duplicity", facing the national development strategy of multiple stacking, cultural historical heritage deep, science and technology innovation ability for many years in the country the first phalanx, transportation network access, the ecological environment is good, in the development of Yangtze river delta integration has obvious comparative advantage. Therefore, Anhui should take the initiative in the integration of the Yangtze River Delta and the high-quality development of the central region. The use and promotion of artificial intelligence technology is a profound educational change in innovation and entrepreneurship education, which better meets the requirements of the combination of theory and practice in innovation and entrepreneurship education, and has broad development prospects and great application value. This paper establishes a complete set of application modeling system of entrepreneurship training based on artificial intelligence technology. The experimental results show that the application model of entrepreneurial cultivation has good prediction performance, and the evaluation model can provide accurate information and decision support, which has a good application prospect.

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“…The human aspect, both in terms of managing the digital transformation, and in terms of government (skills) that must belong to the figure to proceed in the transition aspect, are still poorly considered. Human empathy and the phenomenon of burnout associated with this radical change are not investigated effectively, nor is it investigated the possible social repercussions of the massive use of artificial intelligence and digital technologies in a broad sense (Lee et al, 2020;Marino et al, 2022e). The objective is to monitor those gray areas to identify the corrective factors to be used to avoid the problems.…”

Section: Introductionmentioning

confidence: 99%

Exploring the Economic Recovery of Italy’s Regions Post-COVID-19: A focus on Energy, Services, ICT Opportunities, and the Digital Divide

Marino,

Pariso,

Picariello

2023

IJEEP

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The World is gradually coming out of the COVID-19 emergency and what emerges from the Italian scenario presents two sides of the same coin. A large part of the investments made at this juncture have been distributed directly to the regions. Unfortunately, in the last nine years, the twenty Italian regions have adopted different ITCs and distributed different levels of services and wealth. In doing so, there has been a lack of opportunity and development. The paper aims to understand how the Italian regions have recovered economically by analyzing variables such as services, the digital divide, energy management and the economic inequality. The investigation with a qualitative and quantitative analysis helps to understand these issues for Italian and non-governmental institutions.

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Transition towards the artificial intelligence via re-engineering of digital platforms: comparing European Member States

Cited by 10 publications

References 0 publications

Does the Digital Economy Promote Coordinated Urban–Rural Development? Evidence from China

Does the Digital Economy Promote Coordinated Urban–Rural Development? Evidence from China

Entrepreneurship cultivation and application modeling of artificial intelligence under the construction of "Three regions and One District" in Anhui Province

Exploring the Economic Recovery of Italy’s Regions Post-COVID-19: A focus on Energy, Services, ICT Opportunities, and the Digital Divide

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