The role of public space in constructing experience capital: A longitudinal analysis in the hotel context

Public space plays a primary role in shaping customers' hospitality experiences. Yet how public space conditions customers' experiential outcomes in accumulating capital for hospitality organizations remains underexplored. Inspired by the theory of psychological ownership, this research presents an in-depth analysis of the impacts of customers' public space experiences on their experiential outcomes using a longitudinal hotel industry dataset merging information from customer surveys, property performance, and surrounding accessibility insights. Findings revealed the positive effects of customers’ public space experiences on their overall service experiences, the perceived value of the experience, revisit intentions, and recommendation intentions. Moreover, hotel class, other customers, and surrounding accessibility were empirically verified as moderators conditioning the positive impact of public space. These findings offer valuable implications for theory and practice that are worthy of further exploration.     

Foreign investment regulation and firm productivity: Granular evidence from Indonesia

When regulating foreign direct investment (FDI), countries often face a trade-off between pursuing national policy interests and suffering efficiency losses due to FDI restrictions. We demonstrate the presence of this trade-off in the case of a protectionist FDI policy in Indonesia. Using a yearly census of Indonesian manufacturing firms from 2000 to 2015, we link product-level changes in binding FDI regulation due to major regulatory tightening to changes in firm-level productivity. Controlling for an extensive set of fixed effects as well as potential political economy drivers of regulation, we show that a tightening of the regulatory environment was successful in reducing foreign capital reliance among regulated firms, and led to increases in FDI among non-regulated firms producing the same product. Despite compensating increases in domestic capital, regulated firms experienced relative productivity losses. This points towards either a less efficient allocation of domestic capital or a general inferiority of domestic capital as compared to foreign investments.     

Factors influencing buying behavior of Lebanese consumers towards fashion brands during economic crisis: A qualitative study

The purpose of this article is to contribute to an understanding of the impact of the Lebanese economic crisis on fashion buying behavior. It uses a qualitative approach by conducting semi-structured interviews with 29 Lebanese consumers. The study reveals that consumer fashion purchases are motivated by emotional, social, and functional drivers. It also indicates that subjective norms, such as societal and cultural values dictate buying behaviors. The findings provide further insights into social media and highlight its influence on shaping trends and making fashion products desirable. The article concludes that Lebanese consumers exhibit impulsive buying behavior, and explains how fashion brands can remain relevant amidst a wrenching economic crisis.     

技术-经济范式赶超机遇与中国创新政策转型

新技术革命为我国带来了新的技术赶超机遇，但也加剧了国家间的技术竞争。“中兴事件”暴露出我国核心技术自主创新能力短板。根据佩蕾丝、弗里曼等对技术革命浪潮的研究，当前我国正处在新旧技术-经济范式转换阶段，处于技术赶超机遇期。美、德两国在19世纪下半叶赶超英国的经验给我国的启示是，以追踪世界新技术-经济范式为导向的创新政策是我国实现技术赶超的必要条件。要抓住技术赶超机遇就必须反思目前我国创新政策缺陷，通过创新政策转型和创新，营造促进民族企业创新的社会经济环境，从而引导创新环境特征转变、促进向世界新技术-经济范式转换并跻身于并跑和领跑行列。因此，加强金融规制、系统性支持民族创新企业、培育民族高技术产业创新集群、加大人力资本投资力度和鼓励人才流动等成为我国创新政策转型的重要内容。     

Solesolevaki as social capital: a tale of a village,two tribes,and a resort in Fiji

This paper advances understanding of the complex and adaptive nature of indigenous Fijian communities involved in tourism. It examines how tourism-related development has set the people of one Fijian village along two separate development pathways, and explores how preferential access to tourism benefits has created disparities within the community. Complex Adaptive Systems theory and Social Capital theory are used to conceptualise how over 40 years of tourism involvement has influenced development within an indigenous Fijian community. The findings argue that indigenous Fijian communities are non-homogeneous entities, which are constantly in transition, responding and adapting integratively to both internal and external changes over time. The findings show that the emergence of new behaviours and ways of life has led to the collapse of the pre-existing systems of social capital. As a response, community members retreated and regrouped, strengthening internal bonds and social capital in their smaller social units, leading to both dependency and opportunity-seeking behaviours among participants. Ultimately, the paper asserts that money alone does not lead to development, but rather tourism and access to a variety of capital do.     

The impacts of value chain upgrading on the export of processed food

Upgrading in global value chains (GVCs) is an important path for developing countries to move along to capture higher benefits. Several qualitative studies of GVCs have identified two main upgrading types: economic (product, process, functional, and inter-sectoral) and social upgrading. The upgrading concept is widespread in productive sectors such as processed food, which has become a key export for developing countries. However, they have confronted multiple product standards required by global buyers. This study uses a case study of Thailand’s processed food exports (TPFEs). Although Thailand is a leading exporter of processed food, the country needs to upgrade in many areas related to production to meet global product standards and requirements. If Thailand fails to comply with global product standards, it will lose its export competitiveness. This study uses a gravity model to evaluate the impact of economic and social upgrading (EUP and SUP) on TPFEs. Our results show that upgrading types are significant in TPFEs, particularly for exports to developed countries. Process upgrading has a negative impact on TPFEs because of increased production costs to comply with product standards. However, process upgrading can lead to increased producers’ and exporters’ knowledge about how to comply with international standards. Consequently, process upgrading exhibits a lagged positive effect on TPFEs.     

Measuring Farm and Market Level Economic Impacts of Improved Maize Production Technologies in Ethiopia: Evidence from Panel Data

While it is often recognised that agricultural technology adoption decisions are intertwined and best characterised by multivariate models, typical approaches to examining adoption and impacts of agricultural technology have focused on single technology adoption choice and ignored interdependence among technologies. We examine farm‐ and market‐level impacts of multiple technology adoption choices using comprehensive household survey data collected in 2010/11 and 2012/13 in Ethiopia. Economic surplus analysis combined with panel data switching endogenous regression models are used to compute the supply shift parameter (K‐shift parameter), while at the same time controlling for the endogeneity inherent in agricultural technology adoption among farmers. We find that our improved technology set choices have significant impacts on farm‐level maize yield and maize production costs, where the greatest effect appears to be generated when various technologies are combined. The change in maize yield and production costs results in an average 26.4% cost reduction per kilogram of maize output (the K‐shift parameter). This increases the producer and consumer surpluses by US$ 140 and US$ 105 million per annum, respectively. These changes in economic surplus help to reduce the number of poor people by an estimated 788 thousand per year. We conclude that deliberate extension efforts and other policies that encourage integration of technologies are important for maize technologies to yield their full potential at both farm and market levels.     

China and international market integration: Evidence from the law of one price in the Middle East and Africa

We model market integration in the Middle East and Africa by analyzing price dispersion and testing the law of one price (LOP) on highly-comparable actual local retail prices of 135 goods and services across 23 countries in the region over the period of 1990–2016. Second-generation panel estimators are applied to four price benchmarks: Regional average, South Africa, China, and US prices. Cross-regional price dispersion diminishes considerably over time up to 2008, particularly for non-tradeables around China price. The test of LOP indicates the percentage of convergent prices is highest in China price benchmark, followed by US, South Africa, and regional average benchmarks. Direct estimation of the convergence speed confirms this order. Overall, the results show evidence of increasing market integration in Middle East and Africa but it appears to be driven by global forces and, especially, the rise of China as a new economic power. The results show that some emerging market economies, such as China, can step up and promote integration while traditional economic powerhouses, such as the USA and UK, disengage from international economic relations.     

Social Capital,Income Diversification and Climate Change Adaptation: Panel Data Evidence from Rural Ethiopia

The choice between specialisation and diversification of income is driven by multiple, interacting factors, such as economies of scale and scope, risk considerations, context, and household characteristics. Using panel data from Ethiopia, we investigate the role of social capital and the covariate risk of climate change and their interaction. We find that households with greater social capital tend to be more specialised, implying that diversification and informal insurance are substitutes in the mitigation of risk. We also find that this effect is significantly weaker in regions more prone to climate change, which is consistent with the average farmer being aware that informal insurance is not an effective protection against risks that affect the entire social network. We use instrumental variable random effects estimation to account for the plausible endogeneity of social capital and we also establish that our results do not depend on the poorest and most constrained individuals in our sample.