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Aiding employment is an important poverty reduction strategy in many countries’ social welfare systems, as this strategy can help empower the recipients with a better living standard, development and social inclusion. The purpose of this paper is to identify the most significant individual and systematic variables for the employment status of low-income groups in urban China.

The data of this study are drawn from “Social Policy Support System for Poverty-stricken Families in Urban and Rural China 2015” report. The Ministry of Civil Affairs of the People’s Republic of China appointed and funded the Institute of Social Science Survey (ISSS) at Peking University to deliver the related project and organize a research team to write the report. Multiple binary logistic regression analysis is adopted to identify both individual and systematic factors that affect the employment status among low-income groups in urban China.

According to the results of the binary logistic regression model, individual factors, including: gender; householder status; education; and self-rated health status, play a significant role in determining the employment status of low-income groups in urban China. Clearly, the impacts of individual factors are more influential to marginal families than to families entitled to receive Basic Living Allowance. In contrast, compared with marginal families, systematic factors are more influential to families entitled to receive Basic Living Allowance.

This study highlights the importance of precise poverty reduction strategy and the issue of “welfare dependence” among low-income groups in urban China. Policy recommendations derived from the findings are hence given, including: the promotion of family-friendly policies; the introduction of a smart healthcare system; the establishment of a Basic Living Allowance adjustment mechanism; and the provision of related social services.

This study aims to explore the good crowding effect among Indian domestic travellers during the COVID-19 pandemic in the context of the city destination. This study uses the framework of social motivation theory to achieve the objective.

This study adopted a qualitative research design by taking the case of Shimla, Himachal Pradesh. Using purposive sampling, semi-structured interviews were conducted with 37 respondents, and themes were drawn manually.

The analysis found four themes that create a good crowding effect among domestic tourists, namely, convenience and price; familiarity and place attachment; social affiliation; and safety. The themes indicated that despite the pandemic, and constant occurrences of new variants, Indian domestic tourists’ on-site attitude towards crowding was favourable.

Firstly, the good crowding effect during the pandemic could have been better understood using empirical data. Secondly, the results cannot be generalized, specifically for developed economies.

This study offers practical implications to destination managers and local administrative bodies for whom achieving sustainability in urban tourism has always been concerning. These include developing infrastructural facilities, encouraging cultural activities in city centres and improving the perception of safety to sustain the good crowding effect.

The affective dimension involved in making a travelling decision played a significant role in the post-pandemic phase. While suppliers needed survival, tourists needed social affiliation and escape from the mandated home isolation due to multiple phases of COVID-19 lockdown in India. This study adds value to society by emphasising that the need for social affiliation among travellers remains intact, and the tourism industry should embrace this transformation.

While most of the pandemic-related studies criticised crowd and tourists’ crowd averting behaviour, this study reported that the good crowding effect could also be an outcome owing to different factors. Therefore, this study offers distinctive nuance of tourists’ behaviour in the post-COVID-19 phase, allowing destination managers and tourism stakeholders to re-think their strategies.

The purpose of this chapter is to demonstrate that, despite the extensive literature on firm-specific advantages (FSAs) and country-specific advantages (CSAs) produced since Rugman’s classic matrix (1981), little progress has been made in empirically operationalizing the second concept.

Through a review of the international business (IB) literature that refers to the CSA concept, we identify the “vagueness” in the usage of this concept. First, we present a concise literature review of the CSA construct, with a link to the “double diamond” theoretical model of Rugman and D’Cruz (1993) and Rugman and Verbeke (1993). Second, we present the results of the bibliographic analysis on the use of the construct by a variety of authors.

We demonstrate the weak conceptual grounding of the CSA concept by reviewing the literature on host-CSAs attracting Chinese overseas foreign direct investment (OFDI). Apart from the fact that various authors use different sources of data, an important reason for contradictory results is the fact that each author tests host-CSA through different indicators. Here, we propose a list of variables and indicators based on the “double diamond” model and test these empirically.

IB researchers should start conducting serious studies on home-CSAs and host-CSAs instrumental to attracting investments, defining clear indicators and using replicable data based on publicly available information. This chapter is the first to show that the concepts developed by Rugman (1981) and expanded by Rugman, A. M. and Verbeke, A. (2008) (Internalization theory and its impact on the field of international business. Research in Global Strategic Management, 14, 155–174) are relevant to advance in the quantitative operationalization of concepts within IB theory.

The relationship between farm size and land productivity is a hotly debated issue in the study of agricultural economics and development economics. The purpose of this paper is to explore the causes leading to the inverse productivity relationship by examining the relationship between farm size and factor inputs.

With a large panel data set of farm households in China during 2010–2011, this study uses the factor demand models to examine the relationship between farm size and per-mu labor and non-labor inputs while employing a stochastic frontier production function in determining the difference of labor efforts in farming operation across farm sizes. Moreover, the models for value-added margins and profits are used to further determine producer behavior of small-size farms.

Results of this study show that, as compared to larger farms, smaller farms not only utilize more labor and non-labor inputs per mu, but also benefit from a higher labor effort. Moreover, smaller farms concentrate more on grain output and cash costs while focusing less on the family labor input costs in an effort to maximize value-added margins rather than profits. The higher yields on smaller farms are thus a result of the utilization of a relatively higher level of labor and non-labor inputs along with skilled-oriented precision farming technology. The inverse productivity relationship is explained by the behavior of small-size producers with employment constraints, leading to smaller farms generating a higher yield than larger farms.

While Sen (1966), Feder (1985), Eswaran and Kotwal (1986) and others have theoretically derived the causal relationship between the incomplete factor markets, especially incomplete labor markets, and the inverse productivity, empirical studies to test the causal relationships are limited. In particular, a solid foundation based on an empirical analysis is lacking when it comes to explaining the inverse productivity in China. Results of this study are expected to have significant policy implications in terms of the understanding of small-size producer behavior and the associated mechanism underlying the inverse relationship between farm size and land productivity.

The purpose of this paper is not only to design a more effective recommendation system for libraries, but also to eliminate many of the weaknesses found in the existing library recommender systems.

A novel library recommender system was designed for English collections by integrating personal ontology model and collaborative filtering model with domain specification.

The trend of the traditional library is evolving toward that of digital library. The personal ontology recommender (PORE) system offers a friendly user interface and provides several personalized services.

This system is only implemented and tested in the Library of National Chung Hsing University in Taiwan.

The paper demonstrates a good methodology to offer an active, effective, and personalized recommendation system for library patrons.

Public–Private Partnerships (PPPs) continue to gain increased attention from the Nigerian government. However, since PPP adoption in the country not all have attained expected outcomes. The purpose of this chapter is to explore PPP implementation practices and implications on contractual expectations of partner organizations. A qualitative approach using data collected from 23 semi-structured interviews with key stakeholders involved in a Road Partnership and in a Transport Partnership in Nigeria was employed. Documentary evidence was also collected. The institutional nature of the PPP environment; bureaucratic practices in government institutions; disruptive actions of external actors and ineffective mitigation of project risks were main challenges faced in the implementation of the Road and Transport Partnerships. This study is based on the opinions and experiences of key stakeholders on PPP implementation practices in Nigeria, and this is most appropriate to elicit data richness. Partner organizations involved in infrastructure PPPs have the obligation to ensure that they are effectively implemented. If partnerships are poorly implemented, there is no reason to expect that the partnership objectives will be achieved, and this is likely to have a negative impact on the collaborative nature of partnership working in fulfilling the contractual obligations. This study is imperative to provide an understanding of challenges inherent in achieving partnership implementation goals in a developing economy. Findings will inform practices within the PPP policy area in the Nigerian context.