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This study aims to empirically investigate how difference in social trust explains the heterogeneity of intellectual property right (IPR) protection (proxied by software piracy rate) across countries. Specifically, the authors also examine whether this effect is complementary or substitute to legal and economic factors.

The authors use both ordinary least square and two-stage least square regressions to investigate this effect.

The authors find that there is also a complementary effect between trust and rule of law in reducing the violation of IPRs.

Although the literature by now has documented the solid relationship between trust and the quality of formal institutions, only few studies have explored more specific measures of institutional consequences. Thus, this study is the first study investigating the role of trust, a valuable social capital dimension, on IPR protection.

The purpose of this paper is to employ the computable general equilibrium (CGE) approach to examine how the European–Vietnam Free Trade Agreement (EVFTA) impacts on the Vietnamese economy in the case of the removal of industrial tariffs.

The authors construct a social accounting matrix based on the latest data of the Vietnam input-output Table for the year 2012 and then apply the CGE model to simulate the economic scenarios when the tariff rate of the industrial sector reduces to 0 percent.

The first simulation results demonstrate that the elimination of tariffs in the industrial sector will lead to a 9.13 percent increase in household consumption, together with an increase in the factors of production of the agricultural, industrial and service sectors by 9.61, 9.74 and 8.21 percent, respectively. The EVFTA also causes a deficit in the trade balance because the value of imports increases by 12.54 percent, while exports’ value slightly increases by 2.71 percent. Furthermore, there has been a drop of 2.29 percent in the total government income; nevertheless, social welfare witnesses a gain of 9.13 percent. The second scenario simulation draws crucial attention to policymakers that a small fluctuation in the production tax rate will cause a significant change in the economy.

The reduction of tariff in the industrial sector will increase the social welfare and strengthen the whole economy regarding the growth of household consumption, factors of production and trade value. On the unfavorable side, the EVFTA causes a national budget deficit and puts pressure on domestic production. This paper is a valuable reference for governments and policymakers when they decide to reduce tariffs or adjust production taxes once Vietnam integrates into the world economy.

This study differs from previous research works by utilizing a static CGE model to investigate the impact of removing the industrial tariff on the economy under EVFTA.

The purpose of this paper is to investigate the impacts of investor attention on stock market activity.

The authors employed the Google Search Volume (GSV) Index, a direct and non-traditional proxy for investor attention.

The results indicate a strong correlation between GSV and trading volume – a traditional measure of attention – proving the new measure’s reliability. In addition, market-wide attention increases both stock illiquidity and volatility, whereas company-level attention shows mixed results, driving illiquidity and volatility in both directions.

To the best of the authors’ knowledge, Nguyen and Pham’s (2018) study has been the only previous study identifying investor attention in Vietnam by using GSV as a proxy and examining the impacts of broad search terms about the macroeconomy on the stock market as a whole – on stock indices’ movements. The paper will contribute to this by quantifying GSV impacts on each stock individually.

The purpose of this paper is to estimate a recent trend in climate change and its impact on livelihood of community living in Nam Dinh province, Vietnam. Further, it aims to increase the government attention for adaptation measures by providing awareness of climate change and its negative impacts on livelihood.

For study purpose, cross-sectional and secondary data sets were used. The community perceptions about climate change were recorded by face-to-face interviews of 500 respondents from Nam Dinh province, Vietnam in April 2015 by using a well-structured questionnaire, whereas secondary data were collected from the statistical yearbook of General Statistics Office of Vietnam. To accomplish the study objectives, Cobb–Douglas production function and Likert scale were used to estimate the community perceptions of climate change and impact of climate change on livelihood, respectively.

Results depict that climate change negatively impacted on the productivity of rice and livestock. Particularly, frequently occurring of droughts, floods and salinity intrusion negatively impacted on rice productivity, while livestock productivity is decreased by frequent occurring of flood storms in study area.

The study results suggest a government support is essential to achieve sustainable livelihoods for coastal communities living in the Red River Delta, particularly some adaptation measures in the context of climate change are required in study area.

Across societies, gendered climate response decisions remain top-down and have limited progress because the influenced risk dynamics and their interrelations are not adequately understood. This study aims to address this gap by proposing an interdisciplinary innovative method, called women climate vulnerability (WCV) index, for measuring and comparing a diverse range of risks that threaten to undermine the adaptive capacity and resilience of rural women.

This paper builds on the literature to identify 12 risk categories across physical, economic and political sectors that affect rural women. These categories and attendant 51 risk indicators form the WCV index. A case study in Ben Tre Province (Vietnam) was used to demonstrate the application of the WCV methodology to rural contexts. The authors combined empirical, survey and secondary data from different sources to form data on the indicators. Structured expert judgment was used to address data gaps. Empirical and expert data were combined using a few weighting steps and a comprehensive coding system was developed to ensure objective evaluation.

The WCV assessment results reveal a reasonably worrisome picture of women’s vulnerability in Ben Tre as top highest-likelihood and deepest-impact risks predominate in physical and economic risk sectors. Stability, human security and governance categories have lowest scores, demonstrating a fairly politically favourable condition in the province. The medium risk scores captured in land and infrastructure categories reveal promising determinants of the adaptation of women in this rural province. The results demonstrate the usefulness of the WCV index in collecting bottom-up data, evaluating a wide variety of risks that rural women face and pinpointing priority areas that need to be addressed.

The WCV is systematic, customisable and localised. It combines field research and empirical data through structured expert judgment, thus enables researchers to fill data gaps and to do evidence-based assessment about diverse risk vulnerabilities. By doing so, the WCV index gives critical insights into the challenges that rural women face. This enables local governments to better understand cross-sectoral risks, pinpoint priority areas of action and timely channel funding and policy resources to support women where they need it most.