Journal articles on the topic 'Capital Thailand'

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1

Choi, Chaem. "Human Capital Becomes An Important Component In The Performance Of The Islamic Bank Of Thailand." Tamansiswa Management Journal International 4, no. 1 (January 31, 2022): 59–65. http://dx.doi.org/10.54204/tmji/vol412022009.

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We will investigating some function by human capital at performance by Islamic Bank of Thailand.We collect secondary funds from the annual reports of the Thailand’s Islamic Bank. Our investigation using an employee education and training investments data collection from the Thailand’s Bank and Thailand’s Islamic Bank, the Thailand’s Islamic Bank made and reported on employee health investments. and Thailand’s Bank, and an execution by the Thailand’s Islamic Bank and Bank of Thailand. During the time, start from 2006 until 2021. The data that we use are time series also; we make calculation from country by country for comparison also for conclusions derived from our research. Determining some direction from the influence of health investment, education investment, and the performances bythe Islamic Bank of Thailand. We used vector autoregressive analysis. We found that investment in employee health and education in the Islamic Bank of Thailand having some impact to performance of the Thailand’s Islamic Bank and conversely a performance the Thailand’s Islamic having a major beneficial influence as well to investment to human capital to the Thailand’s Islamic Bank with an indication of a positive causal relationship between the performance of Thailand's Islamic Bank by investing in employee health and education in the Islamic Bank of Thailand.
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2

Chambers, Paul. "Khaki Capital and Coups in Thailand and Myanmar." Current History 120, no. 827 (September 1, 2021): 221–26. http://dx.doi.org/10.1525/curh.2021.120.827.221.

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Military-run business activities can turn into an unrestrained form of parasitic capitalism, preying on national economies. The militaries of Thailand and Myanmar have evolved as predatory “khaki capitalist” institutions. Thailand’s military, deriving its legitimacy as guardian of the monarchy, has used that role to justify its accumulation of economic resources. Myanmar’s military, in power for most of the decades since independence, has invoked national security to expand its budget and business interests. Both militaries have repeatedly employed coups to consolidate their economic power, most recently in 2014 in Thailand and 2021 in Myanmar. Fragile democratic governments and international sanctions have proved ineffective in restraining them.
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3

Romprasert, Suppanunta. "Malaysia-Singapore-Thailand Capital Accumulation Growth (MST-CAG)." International Journal of Trade, Economics and Finance 6, no. 2 (April 2015): 85–89. http://dx.doi.org/10.7763/ijtef.2015.v6.448.

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4

Uddin, Md Nasir. "Intergenerational transmission of human capital." Journal of Economic Studies 46, no. 3 (August 2, 2019): 671–80. http://dx.doi.org/10.1108/jes-10-2017-0288.

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Purpose The purpose of this paper is to find the rate of intergenerational transmission of human capital and comparative schooling attainment between lower and higher income families using the labor force survey in Thailand. Design/methodology/approach Instrumental variable (IV) approach has been used in this paper. The author proposed an alternative instrument for parental education to identify the rate of transmission, which is the parents’ cohorts’ mean schooling in their respective provinces. Findings This paper found that the rate of transmission of human capital from father is higher than that from mother in Thailand. For both, the rate of transmission in Thailand is higher than that in the developed countries. In addition, it is found that children from lower income families are getting lesser education than those from higher income families in Thailand. Research limitations/implications This paper is used as an alternative instrument that could solve the endogeneity problem in the literature of intergenerational transmission of human capital. Practical implications The results of rate of transmission can help to make educational policies in countries like Thailand. It also could help the policymakers to evaluate and redesign the student loan scheme (SLS) in Thailand. Originality/value This study is used as an alternative instrument for parental education to identify the rate of transmission in an IV approach. This paper is the first to identify the intergenerational transmission rate in Thailand. In addition, it evaluates Thai SLS in an intergenerational framework.
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5

Falkus, Malcolm, and Suehiro Akira. "Capital Accumulation in Thailand, 1855-1985." Economic History Review 43, no. 3 (August 1990): 526. http://dx.doi.org/10.2307/2596983.

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6

Thippayana, Pornpen. "Determinants of Capital Structure in Thailand." Procedia - Social and Behavioral Sciences 143 (August 2014): 1074–77. http://dx.doi.org/10.1016/j.sbspro.2014.07.558.

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7

Chunhachinda, Pornchai, Maria E. de Boyrie, and Simon J. Pak. "Thailand Capital Flight through Trade with the US During Times of Political and Economic Instability." Review of Pacific Basin Financial Markets and Policies 11, no. 03 (September 2008): 363–87. http://dx.doi.org/10.1142/s0219091508001404.

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This paper investigates capital flight from Thailand to the US through trade misinvoicing during the period from 1990 to 2005. The evidence indicates that capital flight from Thailand to the US, valued over US$16,189 million, had been done through under-invoicing exports to the US rather than over-invoicing imports from the US. The major incentive for the movement of capital is investment, followed by political events in Thailand, and the most significant determinants of capital flight are the US T-bill rate, the deposit rate in Thailand, and the degree of overvaluation of the Thai Baht. Interestingly, the 1997 Asian economic crisis did not play a significant role in the capital movement through trade.
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8

Rusminingsih, Diah, and Lina Damayanti. "The Role Of Financial Literacy On Economic Growth And Human Capital In Thailand." Tamansiswa Accounting Journal International 4, no. 1 (January 31, 2022): 52–57. http://dx.doi.org/10.54204/taji/vol412022008.

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This study looks into the impact of financial literacy with economic growth with human capital in Thailand. This study investigates data at the start point year of 2000 to 2020 to generate "autoregressive vectors" that can be utilize for determine relationship among the variables human capital (HC), Financial Literacy (LC), and economic growth (GDP). We found about the Financial literacy who have significant impact in providing a production boost that have direct impact to economic growth. Financial literacy have important impact about encouraging some development the human capital through human capital investment. So that financial literacy plays a critical role in Thailand's economic and human development.
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9

NGATIMIN, NGATIMIN. "ANALISA KINERJA KEUANGAN PERUSAHAAN ASURANSI YANG TERDAFTAR DI BURSA EFEK INDONESIA, MALAYSIA DAN THAILAND MENGGUNAKAN ANALISIS RASIO DAN RISK BASED CAPITAL." KEBERLANJUTAN 3, no. 2 (October 20, 2018): 869. http://dx.doi.org/10.32493/keberlanjutan.v3i2.y2018.p869-883.

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AbstractTo measure financial performance analysis using ratio analysis in accordance with PSAK 28 which consists of Underwriting Ratio, Loss Ratio, Commission Expense Ratio, Liability to Liquid Asset Ratio, Investment to Technical Reserve Ratio, Net Premium Growth, Own Retention Ratio. Parameter used in Indonesia is Risk Based Capital (RBC) in accordance with Decree of Minister of Finance No. 424 / KMK.06 / 2003. The results of the ratio analysis based on the report of annual report are Underwriting Ratio of Indonesia 24.09%, Malaysia 13.70% and Thailand 12.22%, Loss Ratio Indonesia 44.44%, Malaysia 55.99% and Thailand 60.05% Malaysian Revenue Commission 11.53%, Indonesia 11.99% and Thailand 19.40%, Malaysia Liquidity Ratio 83.45%, Indonesia 55.96% and Thailand 54.42%, Investments to Technical Ratio of Indonesia 685.36% , Thailand 318.18% and Malaysia 93.65%, Net Premium Growth Ratio Indonesia 21.56%, Malaysia 13.29% and Thailand 4.42% and Own Retention Ratio Thailand 851.72%, Malaysia 79.14% and Indonesia 72.12%. While his Risk Base Capital analysis is Thailand 907.58%, Malaysia 920.68% and Indonesia 415.07 Keywords: Financial Statement, Ratio Analysis, Risk Based Capital
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10

Termprasertsakul, Santi, and Prin Seree-amnoui. "Exchange Rate and Capital Flows of Thailand." Journal of Economics, Business and Management 8, no. 2 (2020): 114–18. http://dx.doi.org/10.18178/joebm.2020.8.2.622.

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11

Curran, S. R., F. Garip, C. Y. Chung, and K. Tangchonlatip. "Gendered Migrant Social Capital: Evidence from Thailand." Social Forces 84, no. 1 (September 1, 2005): 225–55. http://dx.doi.org/10.1353/sof.2005.0094.

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12

KRONGKAEW, Medhi. "CAPITAL FLOWS AND ECONOMIC CRISIS IN THAILAND." Developing Economies 37, no. 4 (December 1999): 395–416. http://dx.doi.org/10.1111/j.1746-1049.1999.tb00240.x.

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13

Hewison, Kevin. "The Structure of Banking Capital in Thailand." Asian Journal of Social Science 16, no. 1 (1988): 81–91. http://dx.doi.org/10.1163/080382488x00045.

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14

Qizam, Ibnu, Abdul Qoyum, and Misnen Ardiansyah. "Global Financial Crisis and Islamic Capital Market Integration among 5-ASEAN Countries." Global Review of Islamic Economics and Business 2, no. 3 (February 6, 2015): 207. http://dx.doi.org/10.14421/grieb.2015.023-04.

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Islamic Capital Market is important part of Financial System in ASEAN countries especially in the context of AEC. The objective of this paper is to investigate interconnection long run equilibrium of Islamic Capital Market in ASEAN Countries. Using daily closing price for from September 2007 to October 2012, this study examine five Islamic Capital markets in ASEAN namely Indonesia, Malaysia, Philippines, Singapore and Thailand. This study examines on Integration among these Islamic Capital markets by relies a simple correlation test, Granger causality test and co-integration test using error correction model. This research documents some interesting finding. First, Using Johansen estimation technique, there is co-integration between the considered Islamic indices namely; Indonesia, Malaysia, Philippines, Singapore and Thailand. Second, Since the co-integration exists, granger causality test shows that there is three bi-directional causalities namely; between Malaysia Islamic Capital Market and Singapore Islamic Capital Market; between Thailand Islamic Capital Market and Singapore Islamic Capital Market; and between Singapore Islamic Capital Market and Philippines Islamic Capital Market. However, there is a unidirectional between Indonesia Islamic Market (MCIINA) and Malaysia Islamic Market (MCIMY), MCIINA and Philippines Islamic Market (MCIPhil), MCIINA and Thailand Islamic Market (MCITHAI), it implies that MCIINA affects MCIMY, MCIPhil, and MCIThai but not vice versa. Third, based on VECM suggest that all Islamic indexes are inter-related in the long run that can be explained due to the similarity of structure bring about by its stock as required by shariah in the process stock screening.
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15

Hatane, Saarce Elsye, Naomi Lamiki, and Victoria Stephanie. "Intellectual Capital Disclosure Analysis based on Profitability in Tourism and Hospitality Sector in Indonesia and Thailand." Jurnal Ilmiah Akuntansi 6, no. 2 (January 12, 2022): 471. http://dx.doi.org/10.23887/jia.v6i2.38890.

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This research aims to investigate the level of disclosure of intellectual capital components in tourism and hospitality companies in Indonesia and Thailand. We use intellectual capital components and profitability levels as variables. This research analyzes the differences in the level of disclosure of intellectual capital components between tourism and hospitality companies in Indonesia and Thailand that fall into the category of having high profitability and companies that fall into the category of having low profitability. This research uses One-Sample Kolmogorov-Smirnov Test and Wilcoxon Signed Ranks Test to analyze the data. The results showed significant differences in the disclosure of intellectual capital components in tourism and hospitality companies in Indonesia and Thailand. Human Capital is the component with the highest level of disclosures. Companies classified as having high profitability tend to disclose more about intellectual capital than companies classified as having low profitability.
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16

Agard, Alexis C., and Richie Roberts. "A reenvisioned agricultural system in Thailand: The growth in human capital experienced by agriculturalists after adoption of the sufficiency economic philosophy." Advancements in Agricultural Development 1, no. 3 (September 14, 2020): 14–26. http://dx.doi.org/10.37433/aad.v1i3.67.

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Investments in human capital have been shown to positively influence the development of the agricultural industry in regions across the globe. After the Asian Financial Crisis of 1997, therefore, Thailand’s King Bhumibol Adulyadej (The King) adopted the Sufficiency Economic Philosophy (SEP) that empowered the country through critical investments in human capital, which led to a transformation of its agricultural system. In this case study, we examined Thai agricultural leaders’ reflections on the role of SEP in catalyzing such changes. Findings from this investigation emerged in the form of two investments that Thailand made in human capital through the SEP: (1) education, and (2) the establishment of the Royal Projects. Three outcomes also emerged that represent how growth was experienced in the nation’s agricultural system as a result of such investments: (1) individual development, (2) economic development, and (3) societal development. As a result, this investigation’s findings could help extension professionals diffuse agricultural innovations in ways that align better with the unique values of Thailand while also helping to improve the production of agricultural commodities.
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17

Santosa, Budi. "INTEGRASI PASAR MODAL KAWASAN CINA - ASEAN." Jurnal Ekonomi Pembangunan: Kajian Masalah Ekonomi dan Pembangunan 14, no. 1 (June 1, 2013): 78. http://dx.doi.org/10.23917/jep.v14i1.162.

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This study aims to analyze the level of capital market integration ASEAN and China. Analysis tool used is Vector Error Correction Model (VECM). The results showed that capital markets of Malaysia, Philippines, Singapore, Thailand, and China have a positive effect on Indonesian capital markets, but the Indonesian capital market does not affect the capital markets of other countries. Singapore capital market has a positive effect on capital markets of Indonesia, Malaysia, Thailand, and China, except for the Philippines. China's capital market only affects the capital market in Singapore. Singapore capital market and China have complete integration because both affect each other. Philippine capital market only affects Indonesian capital market. Indonesian capital market is easily influenced by the fluctuation in capital markets in the ASEAN region and China. Singapore capital market is in a strong position. While the Philippine capital market are relatively more segmented.
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18

Gordon, Alec, and Napat Sirisambhand. "Evidence for Thailand's Missing Social History: Thai Women in Old Mural Paintings." International Review of Social History 47, no. 2 (August 2002): 261–75. http://dx.doi.org/10.1017/s0020859002000603.

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With the burning of central Thailand's capital city, Ayudhya, in 1767 and the destruction of virtually all the records kept there by the centralized bureaucracy of that kingdom, and with the Burmese occupation of the north and the devastating years of fighting around 1800 to drive them out, there is virtually no written record left at all for Thailand prior to the nineteenth century. There is a little material on rulers and some of their activities, but for social history the record is nearly blank. Is there then no way to write a social history or a gender history for Thailand?
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19

Dok Mai, Achara. "Impact Of Investment In Human Resources Through Increased Investment In Education And Financial Literacy On Economic Growth In Thailand." Tamansiswa Management Journal International 4, no. 1 (January 31, 2022): 1–7. http://dx.doi.org/10.54204/tmji/vol412022001.

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This study investigates the combined effect of human capital investment through education mechanisms, and financial investment through financial literacy on economic growth in Thailand. During study period is annual at 1995 until 2020. Every data from the world bank. In doing the estimation we do an autoregressive vector estimation. We found that human capital investment and financial capital are equally important. Where the increase in education that creates skilled human beings and has high human capital supported by investment in the real sector and good financial literacy can encourage maximum economic growth in Thailand.
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20

Asada, Hidekatsu. "Effects of Foreign Direct Investment, Trade Openness, and Human Capital Development on the Economic Growth of Thailand." International Journal of Asian Business and Information Management 13, no. 1 (January 1, 2022): 1–14. http://dx.doi.org/10.4018/ijabim.309989.

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Since the early 1990s, emerging East Asian countries have increasingly integrated with the global economy. Thailand is regarded as an exemplar of achieving remarkable economic growth owing to the outward-oriented industrialisation strategy. This study examines the effects of Thailand's outward-oriented industrialisation strategy, which comprises foreign direct investment inflows and trade openness on its economic growth. Further, the analysis sheds light on the absorption capacity of the economy by focusing on human capital development in particular. The empirical analysis, which applies the autoregressive distributed lag approach, reveals that, from 2000 to 2017, trade openness and human capital development contributed positively to Thailand's GDP growth in the long run, while FDI inflows contributed negatively.
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21

Ro, Jae-Bong, and Kyoung-Dong Kwon. "Economic Restructuring and Capital Inflow: Thailand and Korea." East Asian Economic Review 2, no. 4 (December 31, 1998): 75–102. http://dx.doi.org/10.11644/kiep.jeai.1998.2.4.32.

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22

Parnwell, Michael J. G. "Neolocalism and Renascent Social Capital in Northeast Thailand." Environment and Planning D: Society and Space 25, no. 6 (December 2007): 990–1014. http://dx.doi.org/10.1068/d451t.

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23

Ayal, Eliezer B. "Capital Accumulation in Thailand, 1885-1985. Akira Suehiro." Economic Development and Cultural Change 39, no. 3 (April 1991): 681–83. http://dx.doi.org/10.1086/451899.

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Udomsirikul, Prasit, Seksak Jumreornvong, and Pornsit Jiraporn. "Liquidity and capital structure: The case of Thailand." Journal of Multinational Financial Management 21, no. 2 (April 2011): 106–17. http://dx.doi.org/10.1016/j.mulfin.2010.12.008.

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25

INOGUCHI, TAKASHI. "Social Capital in Ten Asian Societies." Japanese Journal of Political Science 5, no. 1 (May 2004): 197–211. http://dx.doi.org/10.1017/s1468109904001379.

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On the basis of seven questions asked in the AsiaBarometer survey conducted by the author in 2003 in ten Asian societies, Uzbekistan, India, Sri Lanka, Myanmar, Thailand, Vietnam, Malaysia, China, Korea and Japan, the author analyzes the key dimensions of social capital, permeating the ten societies, (1) general trust in interpersonal relations, (2) trust in merit-based utility; and (3) trust in social system and comes up with the five groups of societies on the basis of three major dimensions of social capital and comes up with the five groups of societies (1) China and Vietnam, (2) Sri Lanka and Uzbekistan, (3) Malaysia, Myanmar and India, (4) Japan and Korea, and (5) Thailand. Conceptual examinations are also done in relation to the work done by Ronald Inglehart and Christian Weltzel and broad empirical corroborations are noted.
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26

Supachart, Wannakomol. "The Review Analysis of China’s Economic Growth and the Correlations with Thailand’s Economy." Business, Management and Economics Research, no. 56 (June 15, 2019): 86–97. http://dx.doi.org/10.32861/bmer.56.86.97.

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This article was aimed to study the environment and the co-movement of China’s economic growth together with Thailand under economic and macro-finance dimensions by collecting information from academic literatures, global organization reports, and historical data from opened source database such as World Bank, United Nations, International Monetary Fund (IMF), and other relatives. The study found that China’s and Thailand’s economic activities are related particularly in term of trade but the low investment. In fact, services industry has replaced industrial manufacture to be the influent factor on gross domestic product (GDP) in both two countries. Moreover, enhancing to promote world- class capital markets and financial system development in China has drawn attraction from Thailand investors to invest more than a half of Thailand’s direct investment funds in financial firms and activities in China in 2017. In the conclusion, Thailand’s economic growth is still relied on China’s demand for raw materials according to goods and products they have exported to China. The suggestion for Thailand is to create their own technology like China’s development model in order to produce valuable goods and services productivity. And for both countries, China and Thailand should also have to focus on income distribution through other areas outside the city under the principal of economic development to improve the welfare of the population.
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27

Uddin, Md Nasir, and Saran Sarntisart. "Human capital inequality and economic growth: evidence with sub-national data from Thailand." International Journal of Social Economics 46, no. 7 (July 8, 2019): 938–56. http://dx.doi.org/10.1108/ijse-07-2018-0368.

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Purpose The purpose of this paper is to find the effects of human capital inequality on economic growth. Design/methodology/approach Thailand Labor Force Survey has been used to generate provincial average years of schooling and Gini coefficient of years of schooling for the years 1995‒2012. Econometric techniques have been employed to identify the effects of human capital inequality on economic growth. Findings Economic growth is inversely affected by the distribution of human capital in Thailand. The coefficient of human capital inequality suggests that if Gini coefficient increases by 0.01 points, gross provincial product (GPP) decreases by about 2 percentage points in the long run. However, the effect of average years of schooling in GPP is not significant. Research limitations/implications There is a lack of strong theoretical background for the relationship between human capital inequality and economic growth to support the empirical study. Practical implications The findings of the study help to design and evaluate education policies in developing countries like Thailand and other low- and middle-income countries. Originality/value This paper is among the first attempts to analyze the effect of human capital inequality on economic growth with sub-national level annual data. In addition, it considers cross sectional dependence in panel model.
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Intarat, Phianphachong. "From SEZs to Thailand 4.0: Geopolitics of borderlands in the Thai state’s vision." Forest and Society 2, no. 1 (April 26, 2018): 65. http://dx.doi.org/10.24259/fs.v2i1.3600.

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This article uses the case of Thailand’s two economic policies –the border Special Economic Zones and the Thailand 4.0 model, to explore geopolitics of the Thai-Burmese borderland. It also discuss a theoretical gap in accounting the ways in which the state engages with transnational flows of capital and peoples, and proposes to use the concept of ‘border partial citizenship’ to bridge this gap. It argues that the shift in Thailand’s economic policy portrayed the different ways in which the Thai state envisaged its geographical territory in relations to capital and human mobility. In the border SEZ project, the Thai borderland is a site where the state loosened its relationship with its non-subjects. However, while the border regions seem increasingly opening for migrant mobility, the inner core of the Thai geo-body, a geographical territory that embodies nationhood, is proportionately hyper-sanitized by patriotic discourses of the national advancement in knowledge-based economy and the harsh policy toward undocumented migrant population
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Qolbi, Nurul, and Akhmad Syakir Kurnia. "INTRA ASEAN-5 CAPITAL FLOWS: DO THEY REPRESENT NEOCLASSICAL BELIEF OR LUCAS PARADOX?" Buletin Ekonomi Moneter dan Perbankan 18, no. 2 (December 2, 2015): 157–82. http://dx.doi.org/10.21098/bemp.v18i2.521.

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In the neoclassical belief, capital flows downhill from rich to poor countries as a consequence of capital endowment variation. In contrast to the neoclassical belief, Lucas found evidence that capital tends to flow uphill. This paper investigates the intra ASEAN-5 capital flows. Using panel estimation, we found that marginal product of capital, human capital, total factor productivity growth, and the quality of institutions appear as determinants for the capital flow from Indonesia, Malaysia, Philippines, and Thailand to Singapore as a host country. On the contrary, the capital flow from Singapore to other ASEAN countries as host countries is encouraged only by the quality of institutions, human capital as well as per capita GDP. The result shows that Lucas variables emerge as determinants for the uphill and downhill capital flow in ASEAN-5. In the meantime, marginal product of capital that represents neoclassical variable appears as the determinant for uphill capital flow from other ASEAN countries to Singapore. This gives significant insight that Lucas variables emerge as companion to the neoclassical variables in explaining intra ASEAN capital flow
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30

Naknok, Sakchai. "Effect of Fiscal Policy on Human Capital in Thailand." International Journal of Economics and Business Administration IX, Issue 1 (March 1, 2021): 136–58. http://dx.doi.org/10.35808/ijeba/663.

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31

Tandon, Chand. "Capital Control: An Experience of India, Thailand and Malaysia." Review of Professional Management- A Journal of New Delhi Institute of Management 8, no. 1 (June 1, 2010): 1. http://dx.doi.org/10.20968/rpm/2010/v8/i1/92829.

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32

Napompech, Kulkanya. "Determinants of Capital Structure of Small Firms in Thailand." Trends in Applied Sciences Research 8, no. 2 (February 1, 2013): 92–104. http://dx.doi.org/10.3923/tasr.2013.92.104.

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33

Haron, Razali. "Capital structure inconclusiveness: evidence from Malaysia, Thailand and Singapore." International Journal of Managerial Finance 10, no. 1 (January 28, 2014): 23–38. http://dx.doi.org/10.1108/ijmf-03-2012-0025.

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34

Daniere, Amrita, Lois M. Takahashi, and Anchana Naranong. "Social Capital, Networks, and Community Environments in Bangkok, Thailand." Growth and Change 33, no. 4 (September 2002): 453–84. http://dx.doi.org/10.1111/1468-2257.00206.

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35

Pye, Lucian W., and Danny Unger. "Building Social Capital in Thailand: Fibers, Finance, and Infrastructure." Foreign Affairs 78, no. 3 (1999): 150. http://dx.doi.org/10.2307/20049336.

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36

Fazal, Snober, Seemab Gillani, Mariam Amjad, and Zulqarnain Haider. "Impacts of the renewable-energy consumptions on Thailand's economic development: Evidence from Cointegration Test." Pakistan Journal of Humanities and Social Sciences 8, no. 2 (December 31, 2020): 57–67. http://dx.doi.org/10.52131/pjhss.2020.0802.0103.

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Thailand is one of the biggest developing nations of 'Southeast Asia,' economy which use heavy amount of renewable energy. So, this research mainly focuses on the paradigm that examines the effects of renewable energy, and it has combined the nation's economic development predictions. To verify this, time-series data from the year 1990 the up-to-the year 2018 utilized for the examination. The research utilized the (ARDL) Auto-Regressive-Distributive-Lag with Bound test model to confirm the relationship between renewable energy and economic growth in Thailand. Time series data is use in this study so (ADF) Augmented-Dickey-Fuller test apply to check stationary of the variables and further use Granger-causality to check causal association amongst energy and growth. The study's outcomes revealed that the consumption of renewable energy in Thailand combined the nation's economic development predictions up to the range, which is the 1% boost in consumption of renewable energies to increase Thailand's economic development by 0.57 percent. Additionally, a 1 percent boost in capital formation leads towards the rise in economic development by 0.025 percent. However, a 1.70 percent boost in economic development is because of the 1 percent increase in labor efficiency. On the other side, the causality examination showed that the presence of the feedback consequence among consumption of renewable energies also the capital initiate to be bidirectional. Also, their same interpretation was revealed to existed amongst economic development and the capital. The research recommends that there must be some robust measures that help prevent the failure of the renewable energy market internationally between others and domestically.
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37

Taguchi, Hiroyuki. "Macroeconomic Risks in the Greater Mekong Sub-Region." International Journal of Asian Business and Information Management 6, no. 2 (April 2015): 16–32. http://dx.doi.org/10.4018/ijabim.2015040102.

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This paper investigated the macroeconomic risks in the Greater Mekong Sub-region (GMS) from the perspectives of their external balances and monetary policies. The main findings are: 1) especially in Vietnam, the continuous deficit in current account accompanied with the decline in financial-account surplus and foreign reserves has increased economic risks in external balance, which seems to be a quite similar picture to the pre-crisis (1996-97) Thailand; 2) the rising real exchange rate, i.e. the loss of price competitiveness caused by domestic high inflation has been deteriorating the current account, except for Thailand; 3) the domestic high inflation can be attributed to the inability for central bank to manage monetary base against external capital flows through the sterilization, except for Thailand; 4) the clear contrast between the resilience of monetary policy to capital-flow shock in Thailand in 2000-2011 and its fragility in Vietnam in 2000-2011 and Thailand in 1986-1996, was also identified by the impulse response estimation in the analytical framework of VAR model.
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Sahabuddin, Zainal Abidin, and Stevanus Adree Cipto Setiawan. "BALANCE SHEET EFFECT SEBAGAI PENENTU DETERMINAN STRUKTUR MODAL ENAM BURSA EFEK PADA NEGARA-NEGARA ASEAN." Media Riset Akuntansi, Auditing dan Informasi 12, no. 3 (December 18, 2012): 103. http://dx.doi.org/10.25105/mraai.v12i3.603.

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<span>Balance sheet effect is due to the relationship between the external and internal<br /><span>factors. The purpose of this study is to obtain the result: firm size, firm growth, financial <span>risk, asset structure, non debt tax shield on capital structure; influence of internal <span>factors, the influence of internal and external factors of the company’s capital structure. <span>The research was conducted in countries of ASEAN<span>6<span>, namely Indonesia, Malaysia, <span>Philippines, Singapore, Thailand and Vietnam. Unit of analysis of this study is that corporations have huge capitalization in 2008 until 2011. Data analysis using regression method Simultaneous and panels. The results showed: the size of the company has a<br />positive and significant impact on the capital structure for ASEAN6 countries; growth has a negative and significant impact on the capital structure in the country of Malaysia, the Philippines, and Thailand; financial risk has a negative and significant impact on the capital structure in Singapore , asset structure has a positive and significant impact on the capital structure for Singapore, Malaysia, and the Philippines; non-debt tax shield and a significant negative effect on the capital structure for the State of Indonesia<br />and Malaysia, the interest rate has no significant effect on the capital structure in cASEAN 6 countries; foreign exchange rate has a positive and significant effect for the Philippines; rate of inflation on capital structure has a negative and significant impact to the state of Indonesia, the Philippines, and Vietnam while Malaysia, Thailand and Singapore have a positive and significant impact; economic growth on the capital structure has a negative and significant impact to the state of Indonesia, the Philippines, and Vietnam while Negara Malaysia, Thailand and Singapore have a positive and significant impact; contained internal influence on the capital structure for six ASEAN countries; There are internal and external influences on capital structure for ASEAN6<br />countries.<br />Keywords: Balance Sheet Effect, Internal and external factors, and capital structure.<br /></span></span></span></span></span></span></span></span>
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39

Hunjra, Ahmed Imran, Qasim Zureigat, and Rashid Mehmood. "Impact of Capital Regulation and Market Discipline on Capital Ratio Selection: A Cross Country Study." International Journal of Financial Studies 8, no. 2 (April 3, 2020): 21. http://dx.doi.org/10.3390/ijfs8020021.

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We aim to analyze the impact of capital regulation and market discipline on capital to risk-weighted assets ratio. We used the panel data of Asian developing-countries banks for the period from 2009 to 2018. We collected data from the financial statements of 73 banks of Pakistan, Jordan, Indonesia, the Philippines, Saudi Arabia, and Thailand. We used the generalized method of moment (GMM) to analyze the results. We find that capital regulation and market disciplines significantly influence the capital ratio in Asian developing countries.
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40

WICHITSATHIAN, Sareeya. "Capital Policy on Firm's Profitability: A Case of the Thai Agro and Food Industry." GATR Accounting and Finance Review 3, no. 4 (December 11, 2018): 131–38. http://dx.doi.org/10.35609/afr.2018.3.4(5).

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Objective - The objectives of this research include: (1) to identify working capital investment policy and working capital financing policy, (2) to study the effect of working capital investment policy on profitability, and (3) to study the effect of working capital financing policy on profitability. Methodology/Technique - 41 firms in the agro-food industry listed on the Stock Exchange of Thailand are examined in this study. Secondary data was collected and analyzed within a 5-year period between 2013-2017. Findings - The results show that the most frequently employed working capital investment policy is the aggressive approach (46.30%), and the most frequently employed financial policy is the moderate approach (82.90%). According to the inferential statistics, it is concluded that: (1) profitability is significantly affected by the choice of working capital investment policy and a moderate investment policy results in the greatest profitability, and (2) profitability is not affected by the choice of working capital financing policy. Novelty - As a result, firms should focus on the selection of a moderate working capital investment policy when seeking to maximize profits. On the other hand, any type of working capital financing policy (aggressive, conservative, or moderate approach) is appropriate. Type of Paper Empirical Keywords: Working Capital Policy; Profitability; Agro and Food Industry; Thailand. JEL Classification: M10, M40, M41.
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41

Robiyanto and Aldhi Fajar Hartanto. "CONTAGION EFFECT DAN INTEGRASI PASAR MODAL DI KAWASAN ASIA, EROPA DAN AMERIKA." Jurnal Organisasi dan Manajemen 14, no. 1 (March 28, 2018): 1–9. http://dx.doi.org/10.33830/jom.v14i1.138.2018.

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Capital market integration is a very interesting topic to study because it is constantly evolving along with the development of time and conditions that occur in the capital markets in the world. This study examines the integration of capital markets and the contagion effect of capital markets in Asia, Europe and America. This study uses monthly closing data of Jakarta Composite Index (JCI) for Indonesia, (KLCI) for Malaysia, PSE Composite Index (PSE) for Philippines, Straight Times Index (STI) for Singapore, SET Index (SET) for Thailand, NIKKEI 225 for Japan, FTSE 100 for UK, DAX 30 for Germany, CAC 40 for France, IBEX 35 for Spain, Dow Jones for USA during period of January 2012 until December 2016. The result of this research is there is no comovement between capital markets of Indonesia, Malaysia, Philippines, Singapore, Thailand, Japan, UK, Germany, France, Italy, Spain and the United States. Integrasi pasar modal merupakan topik yang masih sangat menarik untuk dikaji karena senantiasa berkembang seiring dengan perkembangan waktu dan kondisi yang terjadi pada pasar modal-pasar modal yang ada di dunia. Penelitian ini mengkaji integrasi pasar modal dan contagion effect dari pasar modal di Asia, Eropa dan Amerika. Penelitian ini menggunakan data penutupan bulanan Indeks Harga Saham Gabungan (IHSG) untuk Indonesia, Kuala Lumpur Composite Index (KLCI) untuk Malaysia, PSE Composite Index(PSE) untuk Filipina, Straight Times Index (STI) untuk Singapura, SET Index (SET) untuk Thailand, NIKKEI 225 untuk Jepang, FTSE 100 untuk Inggris, DAX 30 untuk Jerman, CAC 40 untuk Prancis, IBEX 35 untuk Spanyol, Dow Jones untuk Amerika Serikatselama periode bulan Januari 2012 sampai dengan Desember 2016. Hasil penelitian ini adalah tidak terdapat comovement antara pasar modal Indonesia, Malaysia, Filipina, Singapura, Thailand, Jepang, UK, Jerman, Perancis, Italia, Spanyol, dan Amerika Serikat.
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42

Sulisnaningrum, Ema. "The Role of Human Capital and Technology in Improving Economic Performance in Thailand." Tamansiswa Management Journal International 4, no. 1 (January 31, 2022): 8–12. http://dx.doi.org/10.54204/tmji/vol412022002.

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The purpose of this study is to look at the relationship between human capital, technology, and economic growth in Thailand. Using vector analysis, we examine the causal connections between technology, human capital, and economic growth. This analysis uses secondary data from the World Bank for a yearly period from 1995 to 2020. We found that technology improves human performance where humans themselves have the human capital to work and maintain their work performance. With the existence of technology, the role of human capital is increasingly increasing. Because human capital is also needed in mastering technology and using technology in helping human work. Technology and human capital are two things that reinforce each other in increasing economic growth.
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CHANG, YOUNGHO, ZHENG FANG, and SHIGEYUKI HAMORI. "HUMAN CAPITAL AND ENERGY: A DRIVER OR DRAG FOR ECONOMIC GROWTH." Singapore Economic Review 65, no. 03 (September 28, 2017): 683–714. http://dx.doi.org/10.1142/s0217590817500163.

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This paper examines a causal relationship between energy consumption, human capital and GDP for the ASEAN-5 (namely, Malaysia, Indonesia, Thailand, Singapore and the Philippines) over the period 1965–2011. It differs from the existing energy-growth nexus literature greatly by taking into consideration the role of human capital across countries. Both the single-equation estimation and the Johansen’s cointegration analysis suggest the presence of a long-run relationship among these variables. The exclusion test finds that human capital is a crucial factor in the cointegration space as much as conventional inputs of physical capital; and energy seems to play a less important role when human capital increases, indicating a possible substitution effect between the two variables. Using the Toda–Yamamoto test, it finds no long-run Granger causal link between energy use and economic development in the two net energy-exporter countries Malaysia and Indonesia and the city state Singapore, while in the Philippines economic growth Granger causes energy use and in Thailand a feedback effect is identified. Based on these results, policy implications are drawn.
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44

Yupho, Somrasri, and Xianguo Huang. "Portfolio Capital Flows in Thailand: A Bayesian Model Averaging Approach." Emerging Markets Finance and Trade 50, sup2 (March 2014): 89–99. http://dx.doi.org/10.2753/ree1540-496x5002s206.

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45

Wonglimpiyarat, Jarunee. "Technology Transfer and Commercialization: Venture Capital Financing System of Thailand." Journal of Private Equity 16, no. 1 (November 30, 2012): 42–55. http://dx.doi.org/10.3905/jpe.2012.16.1.042.

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46

Jongwanich, Juthathip, Maria Socorro Gochoco-Bautista, and Jong-Wha Lee. "When are Capital Controls Effective? Evidence from Malaysia and Thailand." International Economic Journal 25, no. 4 (December 2011): 619–51. http://dx.doi.org/10.1080/10168737.2011.636626.

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47

Coelho, Bruno, and Kevin P. Gallagher. "The effectiveness of capital controls: evidence from Colombia and Thailand." International Review of Applied Economics 27, no. 3 (May 2013): 386–403. http://dx.doi.org/10.1080/02692171.2012.734793.

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48

Dufhues, Thomas, Gertrud Buchenrieder, and Nuchanata Munkung. "Social Capital and Market Imperfections: Accessing Formal Credit in Thailand." Oxford Development Studies 41, no. 1 (March 2013): 54–75. http://dx.doi.org/10.1080/13600818.2012.753999.

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49

Detthamrong, Umawadee, Nongnit Chancharat, and Chaiporn Vithessonthi. "Corporate governance, capital structure and firm performance: Evidence from Thailand." Research in International Business and Finance 42 (December 2017): 689–709. http://dx.doi.org/10.1016/j.ribaf.2017.07.011.

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50

Abhakorn, Pongrapeeporn, and Nongnuch Tantisantiwong. "A reexamination of capital controls’ effectiveness: Recent experience of Thailand." Journal of Asian Economics 23, no. 1 (February 2012): 26–38. http://dx.doi.org/10.1016/j.asieco.2011.11.004.

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