东南亚国家社交商务与非本土节日消费行为分析——以中国春节为例

在世界范围内,中国春节越来越受消费者欢迎,特别是东南亚消费者会在社交商务中参加中国春节活动。然而,现实中却存在一个矛盾的现象,即一些东南亚消费者春节期间热衷于购买中国商品,而春节过后却抵制中国商品。实证研究发现,东南亚消费者并未完全从态度上偏好中国春节和中国商品,只是出于社交商务的需要才参与中国春节和购买中国商品。东南亚消费者可区分为文化杂食型和节日身份型两个细分市场。其中,文化杂食型消费者包容并喜欢多元文化,会长期偏好中国节日和中国商品;节日身份型消费者仅在中国节日期间会参与中国节日和购买中国商品。这样的结论对指导中国企业实践具有重要价值,首先,为更好地响应“一带一路”倡议,应树立中国品牌意识,在“一带一路”沿线国家培育偏好中国文化和产品的朋友圈,转变消费者态度;其次,为更好地实施“走出去”战略,应在国际市场进行文化杂食和节日身份的细分,对文化杂食型消费者以文化为纽带培育其长期稳定的消费习惯,对节日身份型消费者通过营销策划刺激其消费;其三,为成功进入东南亚市场,对在东南亚运营的社交商务,应侧重培育消费者亲中国文化与产品的态度,并增加其使用社交商务平台的愉悦感。     

Bank diversification and monetary policy

Using bank-level data in Asia, we examine the relationship between the effectiveness of monetary policy and the business diversification of banks. We find that bank diversification enhances the effect of monetary policy.     

Leveraging agriculture for nutrition in South Asia: What do we know,and what have we learned?

Despite significant improvements over recent decades, rates of undernutrition remain high in South Asia, with adverse impacts on morbidity and mortality. Overweight/obesity, among children and adults, is now an additional and major public health concern. While agriculture has the potential to improve nutrition through several pathways, this potential is currently not being realised in the region. The Leveraging Agriculture for Nutrition in South Asia (LANSA) research consortium (2012–2018) set out to improve understanding about how agriculture and related food policies and programs in South Asia (specifically in India, Bangladesh, Pakistan and Afghanistan) can be better conceptualised and implemented in order to enhance impacts on nutrition outcomes, especially those of young children and adolescent girls. This paper provides a snapshot of the agriculture-nutrition nexus in the region, outlines the pathways through which agriculture can influence nutrition outcomes, elaborates on the objectives of the LANSA research consortium within this context, and highlights the core findings of the six papers that form the body of this Special Issue. The paper ends with five key lessons that have emerged from this research, during this decade.     

The impacts of export competition on international technology flows

Knowledge flow is a key to building technological capabilities. This article investigates how competition in international trade affects knowledge flow between countries using patent data and trade data for analysis. The main finding is that export competition in the third market (in our study, the US market) seems to have a positive impact on the flow of knowledge. The findings from this study contribute to the debate on ‘learning-by-exporting’.     

Trade networks and economic fluctuations in Asian countries

The paper presents a new methodology, based on tensor decomposition, to map dynamic trade networks and to assess its strength in forecasting economic fluctuations at different periods of time in Asia. Using the monthly merchandise import and export data across 33 Asian economies, together with the US, EU and UK, we detect the community structure of the evolving network and we identify clusters and central nodes inside each of them. Our findings show that data are well represented by two communities, in which People's Republic of China and Japan play the major role. We then analyze the synchronisation between GDP growth and trade. Furthermore we apply our model to the prediction of economic fluctuations. Our findings show that the model leads to an increase in predictive accuracy, as higher order interactions between countries are taken into account.     

Principles of innovation to build nutrition-sensitive food systems in South Asia

Innovations within global food systems have contributed to the predicament known as the triple burden of malnutrition – the co-existence of hunger and micronutrient deficiency with the diseases of overnutrition, such as obesity, diabetes and hypertension. We use the case of the triple burden in South Asia to demonstrate analytically that innovation is a double-edged sword, with positive and negative potential, rather than a simple good. To achieve the Sustainable Development Goals that target food and nutrition security and sustainable agriculture (e.g. SDGs 2, 3 and 12), the countries of South Asia need more innovation, but, first, they would also benefit from some intelligent reflection about what innovation means, the directions it should take, and its risks and downsides alongside its benefits. In the present juncture, South Asian countries have an opportunity to learn from the experiences of other developing nations, and choose from alternative options to steer their own course. In this paper, we discuss how innovation has contributed to the present situation and ask how alternative kinds of innovation may enable South Asian countries to escape from the triple burden. We describe a conceptual framework that may be useful for thinking about how innovation pathways can be created and directed towards the goal of improving nutritional outcomes in South Asia. The framework draws attention to the direction of socio-technical change, the distribution of technologies and their risks and benefits, and the diversity of possible innovation pathways (STEPS Centre, 2010). We illustrate these points using examples of innovations in the areas of agricultural production, value chain interventions, and policy and institutional reforms.     

Machine Learning and Expert Judgement: Analyzing Emerging Topics in Accounting and Finance Research in the Asia–Pacific

In this paper, we focus on the question to what extent machine learning (ML) tools can be used to support systematic literature reviews. We apply a ML approach for topic detection to analyze emerging topics in the literature—our context is accounting and finance research in the Asia–Pacific region. To evaluate the robustness of the approach, we compare findings from the automated ML approach with the results from a manual analysis of the literature. The automated approach uses a keyword algorithm detection mechanism whereby the manual analysis uses common techniques for qualitative data analysis, that is, triangulation between researchers (expert judgement). From our paper, we conclude that both methods have strengths and weaknesses. The automated analysis works well for large corpora of text and provides a very standardized and non-biased way of analyzing the literature. However, the human researcher is potentially better equipped to evaluate current issues and future trends in the literature. Overall, the best results might be achieved when a variety of tools are used together.     

Political Economy of Regional Integration: The Northeast Asian Model Revisited

It is found that the intra-regional trade share or functional integration plays an important role in the institutionalization of regional integration not only in the European Union (EU) but also in Northeast Asia. The crisis factor, which is measured by the regional economic growth rates, is empirically significant in Northeast Asia but not in the EU. This situation confirms the crisis model for Northeast Asia that emphasizes the stimulating role of crisis for the institutionalization of regional integration. However, the political leadership factor is not empirically significant in Northeast Asia and in the EU, and this finding does not support the political leadership model that emphasizes the facilitating role of political leadership for the institutionalization of regional integration.     

Women’s agricultural work and nutrition in South Asia: From pathways to a cross-disciplinary,grounded analytical framework

In this systematic review, we aim to examine the impact of women’s work in agriculture on maternal and child nutrition in South Asia. Building on previous reviews supported under the Leveraging Agriculture for Nutrition in South Asia (LANSA) consortium, and recent published literature, we include findings from new LANSA research. While mapping literature onto the gender-nutrition pathways linking agriculture to nutrition (Kadiyala et al., 2014), we also point to conceptual and methodological directions for further exploration emerging from our work. Key amongst these are a focus on seasonality, poverty, and gender relations, moving beyond both an exclusive focus on women as a unified and homogenous group, and agriculture as an unchanging and common set of activities and production processes. Our analysis suggests the need for a more contextualised approach, and for a richer cross-disciplinary framework for effectively addressing the ways in which women’s work mediates agriculture’s role in improving child and maternal nutrition in South Asia.