The purpose of this paper is to investigate the relationship between carbon dioxide (CO 2 ) emissions, foreign direct investment (FDI), income per capita and energy consumption (EC) in the capital of Vietnam from 1990 to 2015. The empirical results indicate that EC is a major contributor of environmental degradation while FDI marginally contribute to the current status. Moreover, a one-way causality is found to be running from carbon dioxide (CO 2 ) emissions, EC, FDI to income in the long-run. Then, the new empirical findings suggest that municipal government should make urgent regulations to drastically the EC especially for private cars and motorbikes to improve environmental quality in Hanoi.
Summary
The increasingly prevalent use of mobile devices has raised the popularity of mobile applications. Therefore, automated testing of mobile applications has become an extremely important task. However, it is still a challenge to automatically generate tests with high coverage for mobile applications due to their specific nontrivial structure and the highly interactive nature of graphical user interfaces (GUIs). In this paper, we propose a novel automated GUI testing technique for mobile applications, namely, Mobolic. In this approach, tests with high coverage are automatically generated and executed by combining the online testing technique and customated input generation. Employing the online testing technique, Mobolic systematically explores the app GUI without falling in a loop. It generates relevant events “on the fly” that are followed by an immediate execution. In addition, involving the customated input generation, Mobolic automatically generates relevant user inputs such as user‐predefined, concrete, or random ones. We implemented Mobolic and evaluated its performance on 10 real‐world open‐source Android applications. Our experimental results show the effectiveness and efficiency of Mobolic in terms of achieved code coverage and overall exercising time.
The paper examines empirical research on technology spillover effects from foreign invested enterprises (FIEs) to domestic manufacturing and processing firms in the North of Vietnam in 2016-2018 period. The Hausman test demonstrates Fixed Effects Model is suitable for the most-updated panel data. The empirical results indicate that FIEs create a pervasive effect on the productivity of domestic manufacturing and processing firms. However, the technology spillover effect depends on characteristics of domestic enterprise. Accordingly, the capitalization rate and production scale are positively correlated with technology spillover while the technology gap is negatively. This finding is useful for authorities to map out policies for domestic firms to absorb more effectively technology spillover effect from FIEs.
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