The present study examines the effects of China’s comprehensive big data pilot zone policy on urban ecological resilience. This is achieved through the utilization of a quasi-natural experiment, employing panel data from 217 prefecture-level cities in China spanning the years 2010 to 2021. The research revealed that China’s extensive policy on big data pilot zones has a notable and favorable influence on the ecological resilience of urban areas. This impact is both constant and subject to variation across different regions. The aforementioned impact is attained by means of progressions in industrial structure and the introduction of innovative green technologies. Furthermore, the strategy exerts a beneficial impact on the ecological resilience of urban areas in adjacent regions by means of spatial spillover effects.

This article describes how economic development has had a significant impact on the environment. County eco-environment coordinated development has contributed to regional coordinated development in China. A support vector machine (SVM) model was constructed to classify and predict coordinated development degrees of the county eco-environment system. In order to improve the discrimination precision of SVM in classification, a Genetic Algorithm (GA) was used to optimize SVM parameters in the solution space. The method was compared with artificial neural network, decision tree, logistic regression and naive Bayesian classifier regarding coordinated development degree of county eco-environment system prediction for Guanzhong urban agglomeration. It found that the method has the best accuracy rate, hit rate, covering rate and lift coefficient. The simulation indicates that the county slowing-down of economic development would not have positive effect on the environment sustainability. GA-SVM provides an effective measurement for region eco-environment system classification and prediction.

This research examines data from eight urban agglomerations in western China from 2003 to 2020 to investigate the impacts of spatial structure changes on economic growth. Using dynamic spatial econometrics, we find that spatial agglomeration has significant effects on the economic growth performance of urban agglomerations in western China. Moreover, the direct effects of three indicators measuring spatial structure—population, industry and land use spatial structure—on economic growth are all directly positive. Moreover, these three spatial structure indicators affect economic growth through mediating variables such as environmental pollution, technological progress, and industrial structure. Further heterogeneity tests reveal that the positive effects of spatial structure on economic growth are increasing and that the positive effects expand from the short term to both the short and long term.

COVID-19 changed working and learning mechanism around the globe. Most of the business, services sectors including education started their functions in online mode. This study investigated the intentions and use behaviors of the students to accept information and mobile technology for the learning processes in Higher Education Institutions (HEIs) in Asian Countries Pakistan, Bangladesh and China. Multi-method was applied to get the objectives of the model using Unified Theory of Acceptance and Use of Technology (UTAUT) model and theory of planned behaviors. Focus Group Discussion from Bangladesh and the case study of China and the cross-sectional data result shows that university student’s acceptance of information system based learning is reasonably well. However, students were feeling anxiety due to load shedding and change in routine, therefore, the result showed negative relation with the intentions to use information system and mobile for online learning. Moreover, the learners also demanded for the implementation IR4.0 in Pakistan and Bangladesh has got full support for online teaching-learning and services like research. Keywords: COVID-19; online Teaching and learning; South Asian Countries, Higher Education; Social and Psychological Safety during COVID-19