A Study of the Impact of Mobile Payment on the Enhancement of Consumption Structure and Pattern of Chinese Rural Households

Amidst China’s economic transition towards high-quality development, the latent potential of the rural consumer market has been significantly unlocked, rendering the evolution of rural household consumption patterns a pivotal area of research. In this paper, we empirically investigate the influence of mobile payment on the transformation of consumption patterns within Chinese rural households, utilizing data from the China Household Finance Survey 2017 and China Household Finance Survey 2019. This study’s findings reveal the following key points: Firstly, mobile payment significantly contributes to the enhancement of the consumption structure within rural households. Secondly, the mechanistic analysis demonstrates that mobile payment plays a pivotal role in alleviating mobility constraints and optimizing the consumption environment, thereby facilitating the improvement of rural households’ consumption patterns. Lastly, the heterogeneity analysis indicates that mobile payment has a more pronounced effect on the upgrading of consumption structures among rural households with older household heads and higher education levels. In light of these findings, this paper suggests advancing the development of mobile payment infrastructure in rural areas, enhancing the proliferation of smartphones in rural regions, and bolstering financial education initiatives within rural communities

A patent based evaluation of technological innovation capability in eight economic regions in PR China

One important indicator of technology innovation capability is the numbers of patents. This paper analyzes the application activities of Chinese patents in the eight economic regions of PR China, covering a time period of 1999-2004. The analysis was classified based on organizations types, subject areas, cooperation and technology distribution. This paper also discusses the relationship between GDP, R&D and the Chinese patent applications in various regions and different organizations.Technology innovation capability Patents Regional analysis Innovation Patent indicators Evaluation China

Building potential patent portfolios: An integrated approach based on topic identification and correlation analysis

&lt;b&gt;Purpose: &lt;/b&gt;This paper suggests a framework to identify important patents for building potential patent portfolios based on patents owned by different assignees so as to highlight the value of individual patents in technology transfer and identify potential collaborators for patent assignees.&lt;br&gt;&lt;br&gt; &lt;b&gt;Design/methodology/approach:&lt;/b&gt; The analysis framework includes the following steps: 1) co-classification analysis based on the International Patent Classification (IPC) codes and Derwent Manual Codes (DMC) to detect sub-tech fields, 2) keyword co-occurrence analysis aiming to understand the core technology information in each patent, and 3) social network analysis used for identifying important technologies and partnerships of key assignees. A case study was conducted with 27,401 chemistry patents filed by a Chinese national research institute.&lt;br&gt;&lt;br&gt; &lt;b&gt;Findings:&lt;/b&gt; The results show that this framework is effective in building potential technological patent portfolios based on patents owned by different assignees and identifying future collaborators for the assignees. This integrated approach based on topic identification and correlation analysis that combines network-based analysis with keyword-based analysis can reveal important patented technologies and their connections and help understand detailed technological information mentioned in patents.&lt;br&gt;&lt;br&gt; &lt;b&gt;Research limitations:&lt;/b&gt; In keywords analysis, only titles and abstracts of patent documents were used and weights of keywords in different parts of the documents were not considered.&lt;br&gt;&lt;br&gt; &lt;b&gt;Practical implications:&lt;/b&gt; The analysis framework provides valuable information for decisionmakers of large institutions which have many patents with broad application prospects.&lt;br&gt;&lt;br&gt; &lt;b&gt;Originality/value:&lt;/b&gt; Different from previous patent portfolio studies based on the use of a combination of patent analysis indicators, this study provides insights into a method of building patent portfolios to discover the potential of individual patents in technology transfer and promote cooperation among different patent assignees.&lt;b&gt;Purpose: &lt;/b&gt;This paper suggests a framework to identify important patents for building potential patent portfolios based on patents owned by different assignees so as to highlight the value of individual patents in technology transfer and identify potential collaborators for patent assignees.&lt;br&gt;&lt;br&gt; &lt;b&gt;Design/methodology/approach:&lt;/b&gt; The analysis framework includes the following steps: 1) co-classification analysis based on the International Patent Classification (IPC) codes and Derwent Manual Codes (DMC) to detect sub-tech fields, 2) keyword co-occurrence analysis aiming to understand the core technology information in each patent, and 3) social network analysis used for identifying important technologies and partnerships of key assignees. A case study was conducted with 27,401 chemistry patents filed by a Chinese national research institute.&lt;br&gt;&lt;br&gt; &lt;b&gt;Findings:&lt;/b&gt; The results show that this framework is effective in building potential technological patent portfolios based on patents owned by different assignees and identifying future collaborators for the assignees. This integrated approach based on topic identification and correlation analysis that combines network-based analysis with keyword-based analysis can reveal important patented technologies and their connections and help understand detailed technological information mentioned in patents.&lt;br&gt;&lt;br&gt; &lt;b&gt;Research limitations:&lt;/b&gt; In keywords analysis, only titles and abstracts of patent documents were used and weights of keywords in different parts of the documents were not considered.&lt;br&gt;&lt;br&gt; &lt;b&gt;Practical implications:&lt;/b&gt; The analysis framework provides valuable information for decisionmakers of large institutions which have many patents with broad application prospects.&lt;br&gt;&lt;br&gt; &lt;b&gt;Originality/value:&lt;/b&gt; Different from previous patent portfolio studies based on the use of a combination of patent analysis indicators, this study provides insights into a method of building patent portfolios to discover the potential of individual patents in technology transfer and promote cooperation among different patent assignees.</div