An empirical investigation of the relationship between e-government development and the digital economy: the case of Asian countries

The impact of the rural digital economy on China's new-type urbanization

The Chinese government is vigorously implementing the rural revitalization strategy and accelerating the process of new-type urbanization. The rapid development of the rural digital economy has emerged as a new driving force for new-type urbanization. This study aims to explore how the rural digital economy impacts China's new-type urbanization from direct, heterogeneous, and indirect perspectives. Using the provincial-level panel data in China from 2014 to 2022, a mixed-methods approach is employed for the empirical research. The CRITIC and Entropy TOPSIS are used to assess the comprehensive development level and temporal characteristics of the rural digital economy and new-type urbanization. Moreover, a global-local auto-correlation analysis is carried out to depict the spatial distribution of the two variables. Subsequently, a two-way fixed effects model is constructed to verify the direct impact of the rural digital economy on new-type urbanization, as well as its structural and spatial heterogeneity characteristics. Finally, an mediating effect model is established to explore the impact paths through which the rural digital economy impacts new-type urbanization. The results show that the rural digital economy has significantly promoted new-type urbanization. Specifically, rural digital infrastructure, digital transformation of agriculture, agricultural production service informatization have a significant positive effect, while the role of rural life digitization is not significant. The rural digital economy has more significant positive impact on population agglomeration and economic growth, followed by social public service, but has no significant impact on ecological environmental protection and urban-rural coordination. Additionally, the qualitative analysis identifies geographical region, poverty, demographic structure and social equality as notable influencing factors in this impact. Further mechanism analysis result indicates that the rural digital economy impacts new-type urbanization through rural human capital improvement, agricultural economic growth and rural industrial structure upgrading. This research contributes to the existing body of knowledge by providing the practical path of rural development to promote new-type urbanization in the context of the digital economy, also clarifies the weak points and key links in this process. It also highlights the need for further research into the institutional factors that influence this relationship to enhances the policy applicability.

Citizen attitudes towards e-government services during the COVID-19 pandemic: A case in Türkiye

E-government services are essential to societies because they save time, reduce corruption, provide efficient, low-cost, and fast service, increase transparency, and enhance trust in the government. These applications save time, which translates to cost savings by reducing bureaucratic crowds and fatigue and eliminating the need for citizens to travel for offline transactions. This study investigates various factors related to citizens' use of e-government services according to gender differences during and before COVID-19. The microdata set from the Survey on Information and Communication Technology (ICT) Usage in Households conducted by TURKSTAT in 2018 and 2021 was used. Additionally, the binary logistic regression method was employed to analyze these factors. According to the research results, it has been determined that variables such as age, education level, occupation, e-commerce use, internet financial transaction status, number of people in the household, and region are associated with women's use of e-government services during the COVID-19 pandemic. The study found that the significance and impact of these variables on the use of e-government services differ based on the gender of individuals and the periods. The study provides recommendations for IT professionals, staff of the interior ministries, and researchers interested in increasing the use of e-government services. This research may also pioneer efforts to identify priority areas for expanding e-government services.

From bits to green: Unraveling the digital economy's influence on natural resource efficiency

This study explores the impact of the digital economy (DE) on natural resource efficiency (NRE) across 275 Chinese cities between 2011 and 2021. Through a comprehensive empirical analysis, we find that the DE significantly positively affects NRE. A key moderating factor in this relationship is green technological innovation (GTI), focusing on the quality rather than the quantity of green technology. Our study also uncovers regional variations of moderating effect. Additionally, we identify several mechanisms through which the DE contributes to enhanced NRE, including the transformation of industrial structure and improvements in green total factor productivity. A detailed heterogeneity analysis shows that the DE's impact on NRE varies according to city-specific factors such as natural resource endowment, city size, environmental regulations, and administrative levels. These findings provide a more nuanced understanding of how the DE influences NRE at the urban level, contributing to the broader discourse on sustainable development in the digital age. Our research offers policy recommendations and potential pathways for cities to leverage the DE for greater natural resource efficiency.

Structural effects of provincial digital economy on carbon emissions within China: A multi-region input-output based structural decomposition analysis

The digital economy, serving as a new engine to boost China's economic growth, inevitably affects carbon emissions given both its green features and its potential demands for energy inputs. To investigate the province-level impacts of the digital economy on carbon emissions, this study splits the digital industry from the multi-regional input-output table, and adopts a downscale structural decomposition analysis to reveal the technological, structural, and scale effects of the digital economy on carbon emissions. The results show that: (1) the expansion of digital economy increased 186.3 Mt of carbon emissions at the aggregate level during the investigated period (2012-2017) and that, therefore, the direct structural effects of the digital economy played a leading role in emission reduction (-156 Mt); (2) in terms of heterogeneity, most provinces presented a U distribution with the structural mitigation effect at the bottom and highly-developed provinces generated significant negative spillover effects; (3) from a regional coordination perspective, digital production achieved greater carbon emission reductions in the eastern and western areas of the country, while the northeastern and central regions gained environmental benefits via digital applications. The main conclusions thus enhance existent understanding of China's digital economy and low-carbon development, and the paper also proffers corresponding policy recommendations, e.g., accelerating the convergence of digital economy and traditional industries to promote carbon emissions reduction.

The development of new occupation practitioners in China's first-tier cities: A comparative analysis

Owing to the increasingly complex economic environment and difficult employment situation, a large number of new occupations have emerged in China, leading to job diversification. Currently, the overall development status of new occupations in China and the structural characteristics of new occupation practitioners in different cities are still unclear. This study first constructed a development index system for new occupation practitioners from five dimensions (group size, cultural appreciation, salary level, occupation perception, and environmental perception). Relevant data to compare and analyze the development status of new occupation practitioners were derived from the big data mining of China's mainstream recruitment platforms and the questionnaire survey of new professional practitioners which from four first-tier cities and 15 new first-tier cities in China. The results show that the development level of new occupation practitioners in the four first-tier cities is the highest, and the two new first-tier cities, Chengdu and Hangzhou, have outstanding performance. The cities with the best development level of new occupation practitioners in Eastern, Central, and Western China are Shanghai, Wuhan, and Chengdu, respectively. Most new occupation practitioners in China are confident about the future of their careers. However, more than half of the 19 cities are uncoordinated in the five dimensions of the development of new occupation practitioners, especially those cities with middle development levels. A good policy environment and social environment have not yet been formulated to ensure the sustainable development of new occupation practitioners. Finally, we proposed the following countermeasures and suggestions: (1) Establish a classified database of new occupation talents. (2) Implement a talent industry agglomeration strategy. (3) Pay attention to the coordinated development of new occupation practitioners in cities.

Spatio-temporal heterogeneity of the coupling between digital economy and green total factor productivity and its influencing factors in China

The synergy of the digital economy and green total factor productivity (TFP) is the foundation for achieving beneficial outcomes for both the economy and environment. This synergy is also the catalyst for high-quality development and sustainable economic growth in China. The study applied a modified Ellison-Glaeser (EG) index, super-efficiency slacks-based measure (SBM) with a Malmquist-Luenberger (ML) index, coupling coordination degree, and other models to explore the spatiotemporal heterogeneity of the coupling between the digital economy and green TFP from 2011 to 2020 and also analyzed the influencing factors of the coupling. The results show that the coupling between the digital economy and green TFP showed an overall upward trend from imbalance to synergy during the study period. The distribution of the synergistic coupling expanded from point-like to band-like, and there was a significant spreading pattern from the east to the center or west China. The number of cities in a transition state decreased significantly. Spatial jumps, a coupling linkage effect, and evolution in time were prominent. Additionally, the absolute difference among cities expanded. Although coupling in the west experienced the fastest growth rate, the coupling in the east and resource-based cities showed significant benefits. Coupling did not reach an ideal coordinated state, and a neutral interaction pattern remains to be formed. Industrial collaboration, industrial upgrading, government support, economic foundation, and spatial quality all positively impacted the coupling; technological innovation had a lagged effect; and environmental regulation has not reached its full potential. Further, the positive effects of government support and spatial quality performed better in the east and in non-resource-based cities. Due to the optimization of industrial structure, the coupling of the west and resource-based cities achieved better dividends; however, spatial quality needs further improvement. Therefore, the efficient coordination of China's digital economy and green TFP requires a scientific, reasonable, localized, and distinctive approach.

Does the Digital Economy Promote the Reduction of Urban Carbon Emission Intensity?

The impact of the digital economy is increasing, and its environmental effect has attracted more and more attention. The digital economy promotes the improvement of production efficiency and the government's environmental governance capacity, and contributes to the reduction of urban carbon emission intensity. In order to study the impact of digital economy development on urban carbon emission intensity, this paper analyzes the theoretical basis of the digital economy on the reduction of carbon emission intensity, and then, based on the panel data of cities from 2011 to 2019, uses the two-way fixed effect model for empirical testing. The regression results show that the development of the digital economy has promoted the reduction of carbon emission intensity of cities, promoted the green transformation and upgrading of cities, and lays a foundation for China to achieve carbon peaking and carbon neutralization through the improvement of human capital investment and green innovation level. The basic conclusion is robust by changing core explanatory variables, changing samples, replacing regression methods, and shrinking and truncating tests. The impact of the digital economy on urban carbon emission intensity varies with the location, grade and size of the city. Specifically, the development of the digital economy in cities in the eastern and central regions, cities at or above the sub provincial level, large cities and non-resource-based cities has promoted the reduction of urban carbon emission intensity. In terms of resource-based cities, the development of the digital economy in renewable resource-based cities and resource-based cities dominated by iron ore and oil mining has promoted the decline in urban carbon emission reduction intensity.

Dynamic Coupling Trajectory and Spatial-Temporal Characteristics of High-Quality Economic Development and the Digital Economy

This paper takes China’s 2014–2019 provincial data as the observation sample to explore the dynamic coupling law of the digital economy and high-quality economic development. First, using the coupling coordination model, it is found that the coupling coordination degree of the digital economy and high-quality economic growth is on an upward trend, and the coupling coordination degree in the eastern region is higher than that in other regions; then, using Markov chain algorithm, it is found that the coupling coordination degree in the east of region achieves a two-level leap of “antagonism stage-running-in stage-coordination stage”, while the central and western regions accomplish a single level of “antagonism stage-running-in stage” leap. Finally, using the Dagum Gini coefficient decomposition method, it was found that the mean values of inter-regional, intra-regional, and supervariate density differences in coupling coordination contributed 67.60%, 24.03%, and 8.36% to the overall differences, respectively, with highly moderate fluctuations. The general, inter-regional and intra-regional differences all show a decreasing trend, but there is heterogeneity in their corresponding variation characteristics. This paper provides substantial empirical evidence for exploring the inherent laws and provides an essential guarantee for China’s regional economy’s comprehensive, coordinated, and sustainable development.

The key enabling criteria of e-entrepreneurship evolving practices and implementation in Saudi Arabia

Businesses that are entirely conducted online have achieved tremendous success. The system has improved to provide a path for the development of online entrepreneurship where individuals can become founders of online businesses or manage internet-based businesses. There are many research studies from different contexts to understand the importance of E-Entrepreneurship. Unfortunately, not until recently, E-Entrepreneurship business impact and opportunities were not being seriously discussed. Furthermore, the complexity and dynamic flow-process towards adopting E-Entrepreneurship were also ignored. As a result, this study is aimed at examining the adoption of E-Entrepreneurship among Saudi Arabians. Four main variables were conceptualized, "E-entrepreneurship behavioral intention (EBI)", "perceived usefulness (PU)", "social pressure (SP)", and "online transactions (OT)". Quantitative surveys were utilized to test the proposed hypothesis. Furthermore, DEMATEL evaluation analysis was used to find the most important criteria of E-Entrepreneur adoption. The samples of the study are obtained from Saudis. Analysis of the results revealed that all the hypotheses are positively significant and supported. This indicates the influences of all the variables on E-Entrepreneurship Behavioral Intention. DEMATEL results are also consistent with the survey finding. It indicates that "social pressure" in E-Entrepreneurship adoption is the key criteria. The study reveals the important factors that affect E-Entrepreneurship acceptance in Saudi Arabia. The finding of the study significantly implicates E-Entrepreneurship service providers and e-marketers to develop a more complete understanding of the factors that affect the Individual intention to accept E-Entrepreneurship in Saudi Arabia.

Supplementary Information

The online version contains supplementary material available at 10.1007/s43546-021-00110-4.

The Role of E-Governance in Combating COVID-19 and Promoting Sustainable Development: A Comparative Study of China and Pakistan

This study’s aim is to investigate the role of e-governance in combating COVID-19 by integrating the implications of the China–Pakistan Economic Corridor (CPEC). We discuss and analyze the E-Government Development Index (EGDI) reports and rankings issued by the United Nations and big data implications during the COVID-19 pandemic. We used the Origin-pro 2018 application for the analysis and discussion. Overall, China’s EGDI ranking has improved from 74 to 65 out of 193 countries, while Pakistan’s ranking has gradually declined from 137 to 148. 5G and other big data technology and e-governance implications have helped to combat the COVID-19 pandemic. In this pandemic scenario, sustainable socioeconomic development in Pakistan needs significant improvement, similar to what has been done by China. We conclude that CPEC can help combat the COVID-19 pandemic because both countries are working together to mitigate social and economic problems. Pakistan should adapt and learn from the Government of China’s experience of successful and proficient e-governance model of technological advancement. This effort will ensure successful CPEC regional extension and help combat the COVID-19 pandemic to ensure Pakistan’s sustainable development.

How should we understand the digital economy in Asia? Critical assessment and research agenda

By Asian digital economy, we refer to high-tech developments, business and social transformations, and information-driven changes in the region's growth. We discuss its background and foundations, significance in Asia and contribution to removal of historical barriers in traditional business. We assess how new value chains are transforming country-level involvement in worldwide manufacturing and note "smiling curve theory" predictions about the global value chain in Asia for high-tech firms and their economies. The takeaway is that the digital economy in Asian nations involves revamping business processes through technology innovation, government policies for growth, and digital entrepreneurship. We analyze the "digital economy and society index", and attributes of nations, societies and economies, as a basis for framing our ideas. We consider research directions prompted by data analytics and AI, the platform economy, digital trade, fintech innovation, and societal and economic sustainability. We further highlight new issues in light of the COVID-19 pandemic.

A machine learning approach to the digitalization of bank customers: Evidence from random and causal forests

Understanding the digital jump of bank customers is key to design strategies to bring on board and keep online users, as well as to explain the increasing competition from new providers of financial services (such as BigTech and FinTech). This paper employs a machine learning approach to examine the digitalization process of bank customers using a comprehensive consumer finance survey. By employing a set of algorithms (random forests, conditional inference trees and causal forests) this paper identities the features predicting bank customers’ digitalization process, illustrates the sequence of consumers’ decision-making actions and explores the existence of causal relationships in the digitalization process. Random forests are found to provide the highest performance–they accurately predict 88.41% of bank customers’ online banking adoption and usage decisions. We find that the adoption of digital banking services begins with information-based services (e.g., checking account balance), conditional on the awareness of the range of online services by customers, and then is followed by transactional services (e.g., online/mobile money transfer). The diversification of the use of online channels is explained by the consciousness about the range of services available and the safety perception. A certain degree of complementarity between bank and non-bank digital channels is also found. The treatment effect estimations of the causal forest algorithms confirm causality of the identified explanatory factors. These results suggest that banks should address the digital transformation of their customers by segmenting them according to their revealed preferences and offering them personalized digital services. Additionally, policymakers should promote financial digitalization, designing policies oriented towards making consumers aware of the range of online services available.

Impact of intellectual capital on the financing of startups with new business models

Purpose

Financing investments in a knowledge-intensive sector may be more difficult as there is a greater degree of uncertainty and asymmetries of information. This paper aims to examine whether a company’s intellectual capital (human capital, relational capital and structural capital) can serve as a quality signal in the financing of health care startups with new business models.

Design/methodology/approach

The study constructed a manual database using several paid and unpaid databases. This paper collected random data from 204 startups that obtained funding during the 2014–2017 period and used signaling theory to examine the factors that impact access to external financing for Indian health care technology startups.

Findings

This paper found that venture capitalists partly base their financing decisions on the relational capital of the startup represented by startups’ age and the average number of website visits, the presence of a syndicate of investors. Human capital variables and structural variables do not show much significant impact. This paper also find some business models show a negative impact on financing implying that investors are reluctant to invest in new technologies that carry more uncertainty and take a longer time to become profitable.

Research limitations/implications

Before concluding this paper, it is important to acknowledge the limitations of the study and some implications for future research purposes. First, the study is conducted on only 204 startups from India, and as such, it suffers from a small sample size, like many other comparable survey-based studies in entrepreneurship. Second, the results are obtained with respect to data collected from Indian startups and represent the Indian context which limits the generalization on a global level.

Practical implications

The results suggest that years of experience and prior relevant experience, do not actually impact the financing of a new venture. These results are crucial as India has a unique demographic advantage over other countries in relation to age. If young minds are adequately nurtured, this can result in innovation, entrepreneurship and job creation (which still remains as a foremost challenge for India).

Social implications

From a policy perspective, a number of implications emerge from the current study. There is a need for ameliorating the capacity of the education system in providing top-quality support including a greater focus on entrepreneurship courses and to replicate the education delivery model from top foreign institutes. The government should take this opportunity to revive the system of education and follow the methodology of elite institutes and to develop entrepreneurship spirit in other colleges and schools.

Originality/value

Financing the investments of young startups with new business models in knowledge-based sectors may be more difficult. In this paper, this paper demonstrates that startups have to effectively use and manage their intellectual assets to achieve sustainable competitive advantage. The findings of the paper emphasize the role of intellectual capital in securing financing through venture capital.

Digitalization in practice: the fifth discipline advantage

Purpose

The purpose of this paper is to provide advice to organizations on how to become successful in the digital age. The paper revisits Peter Senge’s (1990) notion of the learning organization and discusses the relevance of systems thinking and the other four disciplines, namely, personal mastery, mental models, shared vision and team learning in the context of the current digitalization megatrend.

Design/methodology/approach

This paper is based on content analysis of essays from international organizations, strategy experts and management scholars, and insights gained from the author’s consulting experience. A comparative case study from the health and social sector is also included.

Findings

With the current digitalization megatrend sweeping across the globe, the practice of systems thinking would certainly become more crucial for organizations seeking to develop new digital ecosystems. In addition, the application of the other four disciplines of the learning organization would also help to nurture a digital culture for organizations to stay ahead of the competition.

Practical implications

Organizations and digitalization practitioners could benefit from applying systems thinking to develop digital ecosystems, and the other four disciples to nurture a digital culture.

Originality/value

This paper contributes to the existing literature by offering a relook and justifications on the relevance of the five disciplines, in particular systems thinking, in the present times. It offers advice to organizations on how to become successful as part of the digital transformation journey.

Development level of electronic government services

Purpose

This paper aims to explore the emerging trends of e-government in Pakistan with an empirical investigation of the e-government websites and the services they provide to the citizens of Pakistan. It also investigates the level of development of these e-government websites in the Punjab Web portal. The governments in Asian countries, including Pakistan, have been struggling to switch their services from traditional on-spot services to online services. Focal points of the study are development level of e-government websites, available e-services and quality.

Design/methodology/approach

The e-government Web portal of Punjab province with 38 websites is center of attention in present study. Website’s content analysis method is used to study e-government websites (N= 38) from the Punjab Web portal. It used the “Four-Stage Development Model” for the four stages, namely, “publishing”, “interacting”, “transacting” and “transforming”, to study the phenomena.

Findings

The findings showed that most of the websites on the Web portal were at the first (publishing) and second (interacting) stage of development. For the provision of effective online services, websites need to be on the third (transacting) and fourth (transforming) stage. Only a few websites in the Punjab Web portal were the on transacting and transforming stages providing a mature level of services. In total, 40 different types of services are identified in 38 websites of Punjab e-government Web portal.

Practical implications

E-government, Web portals are developed to give citizens a single, easy access point to several departments’ websites and their services. This baseline study recommends to update e-government websites periodically and put more focus on technological and contextual features to enhance the accessibility and usability of the websites.

Originality/value

This is first empirical study of e-government websites to explore their services and examine existing level of website development in this region.

Exploring the Moderating Effect of Perceived Usefulness on the Adoption of E-Government Services

This study explored the moderating effect of perceived usefulness on the impact of trust in the internet and trust in government on the intention to adopt e-government services. The Technology Acceptance Model (TAM) was used as the theoretical foundation for this study. The results indicated that trust in the internet and trust in government were both significant predictors of the intention to use e-government services. It was also discovered that trust in the internet was a positive determinant of trust in government. Furthermore, the study revealed that while perceived usefulness had a significant moderating effect on the impact of trust in the internet on the intention to use e-government services, it was however not significant in moderating the impact of trust in government on the intention to use. The significant and non-significant moderating effect of perceived usefulness on both the relationship between trust in the internet and trust in government on the intention to use is the unique contribution of this study. The implications of these findings are discussed.