https://so01.tci-thaijo.org/index.php/CMJE/issue/feedCHIANG MAI UNIVERSITY JOURNAL OF ECONOMICS2024-12-27T11:20:04+07:00Dr.Jirapa Inthisang Trochimjournal.econcmu@gmail.comOpen Journal Systems<p>Chiang Mai University Journal of Economics (CMJE) is a double-blind peer-reviewed journal published by the Faculty of Economics, Chiang Mai University, Thailand which aims to be a channel to report academic progression in the field of economics. It was established in 1996 and has been indexed in the Thai-Journal Citation Index <span style="text-decoration: underline;"><strong>TCI Tier 2</strong></span></p> <p>CMJE publishes original research/academic papers and review articles in 2 issues per year</p> <ul> <li class="show">Issue 1 January – June, published in June</li> <li class="show">Issue 2 July – December, published in December</li> </ul> <p>Since 2020 onward</p> <p>CMJE have been published as a book for any interested, library or institutions and as an online issue at https://www.tci-thaijo.org/index.php/CMJE</p>https://so01.tci-thaijo.org/index.php/CMJE/article/view/274921Industrial Security: China's New Development Framework2024-06-21T00:34:46+07:00Yangcheng Heyangcheng_he@cmu.ac.thJinrui Liyangcheng_he@cmu.ac.thYunxiang Xieyangcheng_he@cmu.ac.thXinyu Huyangcheng_he@cmu.ac.th<p>Based on the concept of China's new development framework, this paper discusses how to build an industrial security system that adapts to the new era. This paper first expounds the concept and importance of industrial security, and then analyzes the key factors of constructing industrial security system from four aspects: demand regime, distribution regime, production scheme and internal and external factors, and selects 20 third-level indicators as the indicators for China's industrial security evaluation. In the evaluation of China's industrial security, the analytic hierarchy process is used to empower the indicators, the quantitative indicators are standardized, and the entropy method and the efficacy analysis method are used to evaluate the relativity of the indicators and the measurement of industrial security, so as to achieve high-quality industrial development and sustainable and healthy economic development.</p> <p><strong>Keywords</strong>: new development framework; industrial security; analytic hierarchy process; entropy method; Analytic hierarchy process</p>2024-12-27T00:00:00+07:00Copyright (c) 2024 CHIANG MAI UNIVERSITY JOURNAL OF ECONOMICShttps://so01.tci-thaijo.org/index.php/CMJE/article/view/276254The Impact of Japan-China's FDI on the Change in Thailand's Industrial Structure2024-09-10T09:40:36+07:00Xuchong Yand21ea301@st.osaka-cu.ac.jp<p>This study selected Thailand's statistical data from 2003 to 2021 and used multiple regression analysis on the impact of Japan's and China's FDI on the change in Thailand's industrial structure. The results of the ridge regression analysis show that Japan's FDI, China's FDI, R&D expenses, and Thailand's labor force are significant. In particular, Japan's FDI has a greater effect on Thailand's industrial structure compared to China's FDI. Additionally, R&D expenses have the largest contribution to the change in Thailand's industrial structure. However, Thailand's labor force has a significant negative impact on the adjustment of Thailand's industrial structure. </p>2024-12-27T00:00:00+07:00Copyright (c) 2024 CHIANG MAI UNIVERSITY JOURNAL OF ECONOMICShttps://so01.tci-thaijo.org/index.php/CMJE/article/view/277412Identifying Participation in A Government Program: Empirical Evidence from Thailand2024-11-11T22:51:35+07:00Dr. Nopphawan Photphisutthiphongnopphawan.p@chula.ac.th<p>A government handout given during the outbreak of the coronavirus aimed to alleviate the expenditure burden and stimulate household consumption spending. However, not all households participated in the program. This study seeks to identify the factors explaining the underserved households in the government program, where a cash handout was specifically transferred into a government application on the recipient's smartphone. Using Thailand’s survey of household expenditure and income in 2021, the results of a Probit Model reveal that economically disadvantaged households were less likely to participate in the consumption stimulus program compared to better-off households. Households with paid internet were more likely to participate in the program, as an internet connection was required to make purchases through the smartphone application. The nexus between age and mobile technology adoption was also examined, underscoring the prominent role of age, particularly in the older-age group. Household heads in their old age were less likely to participate in the government program than those in younger age groups. Additionally, even with paid internet available in the household, elderly household heads still had a lower probability of participating in the government measure than the young counterparts. This could be attributed to the unfamiliarity and unpreparedness of mobile technology adoption among older household heads. Our findings suggest that consumption stimulus measures should be inclusive beyond the multiplier effect to avoid widening inequality. Familiarity with and preparedness for mobile technology adoption, along with network accessibility, should be considered in a digital technology-related policy design, particularly for the elderly households.</p>2024-12-27T00:00:00+07:00Copyright (c) 2024 CHIANG MAI UNIVERSITY JOURNAL OF ECONOMICS