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This study aims to clarify the interrelationships among political attitudes, Internet use, and political participation, and to develop a path model in which interrelationships among various concepts can be clarified and modified to provide a more integrated theoretical formulation. The study tested two path models. The first model assumed that demographics lead to political attitudes, then to the political use of the Internet, and eventually to political participation. The second model assumed that political use of the Internet precedes political attitudes, and then attitudes lead to political participation. The results show that the data correspond better to the second model than to the first; political use of the Internet promotes political interest and feelings of trust and efficacy, and makes an individual more likely to participate in campaigns and politics. The paper also discusses directions for future research. (Asian J Commun/NIAS)

AbstractThe relationship between collaborative innovation and innovation efficiency has attracted the attention of researchers in recent years. However, few studies have integrated intra‐regional and inter‐regional collaborative innovations (IRCI) into a unified framework to analyze the overall impact of regional innovation efficiency. To fill this gap, this paper uses an improved Data Envelopment Analysis Model to measure the innovation efficiency of Chinese cities from 2003 to 2016 based on the regional innovation capability. Using the Coupling Coordination Degree Model to measure the degree of intra‐regional collaborative innovation, we constructed a Capability Structure Model to measure the degree of IRCI, then used the Spatial Durbin Model to empirically analyze the influence of intra‐regional and IRCI on regional innovation efficiency. The results show that: (a) both intra‐regional and IRCI promote regional innovation efficiency, but the internal factors are the primary influences on regional innovation efficiency; (b) intra‐regional collaborative innovation not only promotes local regional innovation efficiency but also promotes innovation efficiency in other regions effectively, although its driving effect on the local region is higher than on other regions; (c) there is a time lag in promoting regional innovation efficiency through the cooperation and interaction among innovation in knowledge, technological, industrial, and service, and environment capabilities. The regional innovation capacities can result in good collaborative innovation effects only after a certain period of cooperation.

This research precisely analyzes the delay causes of one of the most delayed hydropower project in Pakistan. In this study, grey relation analysis has been employed which has strong analytical ability, in the process of grey relational analysis calculation, the same weight cannot fully reflect the optimality of evaluation, so we have used the entropy weight method to improve it, at the same time, we have used full information reflected by the evaluation index. The socioeconomic problems which are delaying this project (Diamar‐Basha dam) which include poor resettlement plan for local people, compensation of land, threat of cultural heritage, and ecological impacts of this project. It gives quantitative analysis by taking into account several issues in infrastructural project activities like historical and geographical disputes between local people and Governments, their socioeconomic impacts on affected population due to lack of finance and land use conflicts. The deeper roots behind the excusable delays of construction of the Diamar‐Basha dam are discovered in its true spirit while the putative reasons are decorated how this project get into such a predicament and further delay in construction of dam will make it a mirage project.