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The main objectives of this study were to examine the Lao People’s Democratic Republic (PDR) agricultural exports to the People’s Republic of China (PRC), the tuning of the Agricultural Commodity Frequency Index (ACFI) to non-tariff measures (NTMs), and the coverage ratio of goods to determine the effects of the PRC’s NTMs on Lao PDR’s agricultural exports using a demand export model with a fixed-effect method. The authors found that Lao PDR’s agricultural exports to the PRC increased by an average of 46.91% from 2013 to 2020, covering a total of 51 product codes, comprising six of the most valuable product types (i.e., bananas, corn, tapioca flour, watermelon, sticky rice, and sweet potato) given priority by the PRC. Additionally, from 2013 to 2020, the average ACFI concentration with NTMs was 10.08%, and the average coverage ratio for goods was 14.43%. The results of statistical significance testing at 1% suggest that three factors demonstrated the most significant impact on value: agricultural products facing NTMs in the form of sanitary and phytosanitary (SPS) measures and technical barriers to trade (TBTs), treaties with priority conditions regarding SPSs and priorities for agricultural products, and the real gross domestic product (GDP) of the PRC. Furthermore, a PRC GDP increase of 1% resulted in a 3.1235% impact on Lao PDR exports.

In the Lao People’s Democratic Republic (Lao PRD), the services sector accounts for more than 41% of GDP and more than 80% of total trade (World Bank, 2021). Empirical studies show that most of the services trade occurs in the travel and tourism sectors, accounting for more than 50% of the total services trade in the Lao PDR. The services sector also plays an essential role in the Lao PDR’s wholesale and retail sectors, which employ the most significant number of people across all services sectors. The services trade balance was in a surplus between 1997 and 2011, though in 2012, it entered a significant deficit that continues to the present. This study investigates the link between services trade and economic growth in the Lao PDR, building on a recent analysis of the services trade in various economic and economic growth. The authors use econometric methods such as the autoregressive distributed lag (ARDL) bound test and the Granger causality test to analyze time-series data for the Lao PDR from 1990 to 2019. The econometric results demonstrate the long-run relationship between economic growth and variables related to the services trade. This indicates the government and policymakers of the Lao PDR should invest in infrastructure, particularly in trade facilitation and the liberalization of the services sector, to facilitate the acceleration of economic growth.

This chapter uses a global trade model, supplemented with household survey data, to explore the potential impact of ASEAN trade liberalization on poverty in Cambodia, Lao PDR, Thailand, and Vietnam. Our tentative results suggest that ASEAN liberalization is likely to bring substantial gains to the region and lead to significant reductions in poverty. In a simulation of full removal of intra-ASEAN tariffs, we find 320,000 people are moved out of extreme poverty, with a further 1.4 million lifted above the $2 per day poverty line. Poverty reductions are particularly significant in the case of agricultural and rural diversified households and for Cambodia. Under broader ASEAN+3 and ASEAN+6 liberalizations, we find a similar pattern of poverty reduction and the overall reduction in poverty is much higher.

The late incorporation of Lao PDR in the globalized age as an agricultural producer and exporter has been created through the process of “peasantization” and restructuring of agricultural upland productive area. The chapter discusses the role of the state and cross-border markets through contract farming in three villages in northern Lao PDR. Contrary to the general belief that economic globalization will result in the weakening of the state, the chapter argues that the state still has a significant role to play. Being late in the corporation into the world market, the changes that take place become very intense.

I survey applications of Markov switching models to the asset pricing and portfolio choice literatures. In particular, I discuss the potential that Markov switching models have to fit financial time series and at the same time provide powerful tools to test hypotheses formulated in the light of financial theories, and to generate positive economic value, as measured by risk-adjusted performances, in dynamic asset allocation applications. The chapter also reviews the role of Markov switching dynamics in modern asset pricing models in which the no-arbitrage principle is used to characterize the properties of the fundamental pricing measure in the presence of regimes.

This study aims to investigate the use of discretionary spending, especially by incumbents, to win the election and whether incumbents can take more advantage of such spending than the new local government heads. This study also examines the political monitoring effect in suppressing discretionary spending. By using panel regression on 225 local governments during 2013–2016, the results indicate that political motive positively affects discretionary spending proportion ahead of the election. Following the public choice theory that although local government heads act on the interests of voters, their primary motivation is personal interest. Incumbent’s victory does not affect total discretionary spending and the financial assistance expenditure/transfer but has a significant positive effect on grant and social assistance spending. It generally supports Corruption Eradication Commission’s allegations of “returning the favor” is carried out by elected heads in one year following the election. But, it shows that incumbents are more able to utilize grants and social assistance spending than the new local government heads. Political monitoring from the opposition party has proven to have a direct negative effect on discretionary spending proportion. Tracking of the one year after the election should be done to prevent misuse of discretionary spending for incumbent political interests. The results of this study are expected to provide input to regulators to develop more comprehensive regulation, for example, strict sanctions for violations related to accountability for the use of such funds to limit the opportunistic behavior of the local government heads.

This chapter analyses the how, who, where and why of rapid rise in intra-regional investment by companies from ASEAN since 2009.

The chapter analyses the push and pull factors of intra-regional investment in ASEAN, the resulting patterns of foreign direct investment (FDI) and the accompanying rise of strong regional players.

The region’s FDI landscape is changing in terms of investment sources, players, FDI trends and dynamics of the region. This trend is strongly affected by stepped up efforts by ASEAN governments to encourage their national companies to invest in the region and the influence of the ASEAN Economic Community.

Regional integration and emerging business opportunities are providing an impetus not seen before in driving intra-regional investment. As more ASEAN companies position and prepare for AEC 2015, this intra-regional investment wave is likely to gather force.

The chapter lists the regional and global ‘footprint’ of the top 50 largest ASEAN companies by revenues. The thus identified companies include companies operating in oil and gas, mining, agri-business, telecommunications, food and beverages, manufacturing, banking, power generation, infrastructure, real estate and healthcare services