Article
Business
Prasanta Kr Chopdar, Justin Paul, Jana Prodanova
Summary: The Covid-19 pandemic has resulted in changes in consumer shopping behaviors, with fear and news exposure identified as significant factors affecting mobile shopping frequency. Social influence also plays a crucial role in moderating mobile shopping behavior for individuals experiencing smartphone addiction.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2022)
Article
Business
Binbin Yu
Summary: This paper empirically investigates the impact and spatial spillover effect of Internet development on Industrial Green Total Factor Productivity (IGTFP) using the Dynamic Spatial Durbin Model (DSDM) and Chinese panel data. The results show that Internet development significantly promotes improvements to IGTFP in the region and surrounding areas, with the long-term effect being greater than the short-term effect. Mechanism tests indicate that Internet development can promote IGTFP through both industrial structure upgrading and technological innovation, with the intermediary effect of technological innovation being more significant. These research conclusions remain valid after conducting a series of robustness tests, providing empirical evidence for the implementation of the Internet+ action plan and the popularization and application of the industrial Internet in China.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2022)
Article
Business
Shouzhen Zeng, Na Zhang, Chonghui Zhang, Weihua Su, Llopis-Albert Carlos
Summary: This study proposes a multi-criteria decision-making (MCDM) framework combining the self-confidence aggregation approach and social trust network for selecting unmanned ground delivery vehicles (UGDVs) to achieve better applications in community delivery. A multi-criteria comprehensive evaluation system is constructed based on the internal characteristics of UGDVs. A trust propagation and aggregation mechanism is suggested to yield expert weights based on a social trust network. Additionally, a self-confidence Pythagorean fuzzy aggregation operator is proposed to enhance the credibility of the decision results.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2022)
Article
Geography
Yingnan Zhang, Hualou Long, Li Ma, Shuangshuang Tu, Yurui Li, Dazhuan Ge
Summary: China's rural areas have undergone intense restructuring driven by e-commerce, resulting in a new wave of rural rejuvenation. E-commerce has had a significant impact on industry structure, employment patterns, and household economies. Rural elites, technology innovation, resource endowments, and government support have all contributed to this restructuring process.
JOURNAL OF RURAL STUDIES
(2022)
Article
Business
Guangqin Li, Qing Xue, Jiahong Qin
Summary: This study examines the impact of environmental information disclosure on green technology innovation in Chinese cities using the Difference in Difference (DID) method. The results show that environmental information disclosure is likely to promote green technologies, particularly in eastern China. The study also identifies the green innovation environment, pollution charges, and industrial structure as mediator variables, and foreign investment, government education, and technology expenditure as moderator variables.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2022)
Review
Business
Umair Saeed Bhutta, Adeel Tariq, Muhammad Farrukh, Ali Raza, Muhammad Khalid Iqbal
Summary: This review fills the gap in the literature by analyzing factors associated with green bonds and their impact on issuers' fundamental performance measures. It emphasizes the importance of financing for sustainable development and the role of green bonds in funding environmental projects. Additionally, the review highlights the need for a favorable regulatory environment and improvement in disclosure quality to support the growth of green bonds, along with discussing the advantages of green bonds over other financial securities.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2022)
Article
Business
Jun Zhao, Muhammad Shahbaz, Kangyin Dong
Summary: This empirical study investigates the potential impact of energy poverty on green growth in China. The findings suggest that China's green growth index is on a significant upward trend, and the eradication of energy poverty and technological innovation play positive roles in promoting green growth. Furthermore, the study shows that energy poverty eradication not only directly promotes green growth, but also indirectly impacts it through accelerating technological innovation. The research provides policy implications for promoting green growth in China.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2022)
Article
Development Studies
Hongping Yuan, Zheng Wang, Yongwei Shi, Jianli Hao
Summary: This study investigates China's C&D waste minimization system and finds that it is not a dissipative structure, thus unable to form a macroscopic stable and ordered structure through self-organization. Suggestions are proposed to promote the development of the system towards a dissipative structure for more orderly and coordinated system development.
JOURNAL OF ENVIRONMENTAL PLANNING AND MANAGEMENT
(2022)
Article
Business
Zhang Yu, Syed Abdul Rehman Khan, Pablo Ponce, Ana Beatriz Lopes de Sousa Jabbour, Charbel Jose Chiappetta Jabbour
Summary: This research examines the effects of energy poverty, renewable energy consumption, economic activity, and trade freedom on CO2 emissions in developing countries, highlighting the importance of reducing energy poverty for achieving Sustainable Development Goal 7 and reducing CO2 emissions.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2022)
Article
Development Studies
Ahmet Koseoglu, Ali Gokhan Yucel, Recep Ulucak
Summary: The study revealed that economic growth is the main cause of environmental degradation, urbanization has minimal impact on ecological footprint, renewable energy consumption can moderate the ecological footprint, and environment-related technologies have a significant effect in reducing ecological footprint.
SUSTAINABLE DEVELOPMENT
(2022)
Article
Business
Suisui Chen, Hongyan Zhang, Shuhong Wang
Summary: The Chinese government is paying considerable attention to the growing demand for energy and the associated pressure of environmental pollution. Reducing energy intensity and promoting green transformation are important for China's future. Economic growth and trade openness can help reduce energy intensity, with economic growth having a more significant effect. Foreign trade mainly affects energy intensity through exports, while the effect of imports is not significant. There is no significant regional difference in the impact of trade openness and economic growth on energy intensity between the east and west of China. Therefore, the government should actively promote trade openness and economic growth to reduce energy intensity, and strengthen the coordination mechanism of energy control among provinces and regions.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2022)
Article
Business
Margarita Nunez-Canal, Ma de las Mercedes de Obesso, Carlos Alberto Perez-Rivero
Summary: The digital revolution has had a significant impact on education, with the role of educators being crucial in improving student competence in the digital economy. The evolution of digital competence among educators and its relationship with student learning has been carefully studied in this paper. The results show that educators' characteristics, such as their knowledge, training, and attitude toward technology, play a vital role in the learning process.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2022)
Article
Business
Ying Wang, Xiangzheng Deng, Hongwei Zhang, Yujie Liu, Tianxiang Yue, Gang Liu
Summary: This study investigates energy efficiency across provincial regions in China and finds varying levels of efficiency among different areas, as well as confirms the presence of a resource curse at the national level. Additionally, market-based environmental regulations have a positive moderating effect on the relationship between energy endowment and energy efficiency, while command-and-control environmental regulations do not have a significant effect.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2022)
Article
Business
Lei Yan, Nawazish Mirza, Muhammad Umar
Summary: This study assesses the impact of price and policy uncertainties of cryptocurrencies on the investment flows of funds, and finds that these uncertainties have an impact on the investment flows in high carbon funds, while they have no relationship with low emission funds. The results also indicate that the impact tends to be more profound for younger funds.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2022)
Article
Business
Muhammad Farrukh, Nabeel Ansari, Ali Raza, Yihua Wu, Hong Wang
Summary: This study investigates the role of GTL in promoting PEBs through GHRM and also explores the moderating role of environmental knowledge. The findings suggest that GTL significantly predicts employees' PEBs through the mediating role of GHRM and the moderating role of environmental knowledge is confirmed. The study provides a comprehensive understanding of the process and mechanisms that promote PEBs and guide organizational practice.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2022)
Article
Business
Yuling Pan, Feng Dong
Summary: This study focuses on the dynamic evolution and driving factors of new energy development in China, and concludes that there are regional differences in new energy development, with a convergence trend and different driving forces at different stages.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2022)
Article
Business
Xiaozhu Guo, Chao Liang, Muhammad Umar, Nawazish Mirza
Summary: This paper assesses the performance of 4712 fossil and non-fossil fuel investment funds in the Eurozone over eleven years. The findings show that there is no difference in risk-adjusted performance between the two categories. When funds rebalance their portfolios to invest in cleaner firms, performance tends to improve. This suggests that investors can choose low-carbon firms without compromising their investment targets and bottom lines.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2022)
Article
Business
Chien-Chiang Lee, Shuai Qin, Yaya Li
Summary: This paper analyzes the mechanism and heterogeneity of the effects of industrial robot applications on green technology innovation in the global manufacturing sector. The results show that industrial robot applications significantly promote green technology innovation, with the mediating effect of green R&D investment and the moderating effect of environmental regulation. There are industry and regional differences in the green technology innovation effects of industrial robot applications, and the implementation of Industry 4.0 favors the stimulating effects of industrial robots on green technology innovation.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2022)
Article
Geography
Zongfeng Chen, Yansui Liu, Weilun Feng, Yurui Li, Linna Li
Summary: The keys to realizing spatial restructuring in rural areas are the optimization of the spatial pattern of rural settlements and the integration of rural resources. This study used quantitative analysis to examine the spatial distribution characteristics and influencing factors of a rural area. The findings showed that the density of rural settlements was significantly spatially different and that traffic accessibility had a greater impact on the spatial distribution of rural settlements. County-level road development played a crucial role in the optimization of the town-village systems. Therefore, it is recommended to construct a complete transportation network system in order to strengthen the spatial connection between townships and improve the central service functions of towns.
JOURNAL OF RURAL STUDIES
(2022)
Article
Business
Renata Konadu, Gabriel Sam Ahinful, Danquah Jeff Boakye, Hany Elbardan
Summary: This study found a negative relationship between board gender diversity and carbon emissions reduction, with environmental innovation amplifying this relationship, particularly in carbon-intensive industries. Encouraging more gender diversity on boards can enhance corporate governance effectiveness, meeting the needs of a broader range of stakeholders.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2022)
