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This chapter derives asymptotic properties of the least squares (LS) estimator of the autoregressive (AR) parameter in local to unity processes with errors being fractional Gaussian noise (FGN) with the Hurst parameter H∈(0,1). It is shown that the estimator is consistent for all values of H∈(0,1). Moreover, the rate of convergence is n−1 when H∈[0.5,1). The rate of convergence is n−2H when H∈(0,0.5). Furthermore, the limiting distribution of the centered LS estimator depends on H. When H=0.5, the limiting distribution is the same as that obtained in Phillips (1987a) for the local to unity model with errors for which the standard functional central limit theorem is applicable. When H > 0.5 or when H < 0.5, the limiting distributions are new to the literature. The asymptotic properties of the LS estimator with fitted intercept are also derived. Simulation studies are performed to check the reliability of the asymptotic approximation for different values of sample size.

We take a state-stewardship view on corporate governance and executive compensation in economies with strong political involvement, where state-appointed managers act as responsible “stewards” rather than “agents” of the state.

We test this view on China and find that Chinese managers are remunerated not for maximizing equity value but for increasing the value of state-owned assets.

Managerial compensation depends on political connections and prestige, and on the firms’ contribution to political goals. These effects were attenuated since the market-oriented governance reform.

Economic reform without reforming the human resources policies at the executive level enables the autocratic state to exert political power on corporate decision making, so as to ensure that firms’ business activities fulfill the state’s political objectives.

As a powerful social elite, the state-steward managers in China have the same interests as the state (the government), namely extracting rents that should adhere to the nation (which stands for the society at large or the collective private citizens).

As China has been a communist country with a single ruling party for decades, the ideas of socialism still have a strong impact on how companies are run. The legitimacy of the elite’s privileged rights over private sectors is central to our question.

Chinese executive compensation stimulates not only the maximization of shareholder value but also the preservation of the state’s interests.

Purpose: The study focusses on the systematic review of the greenwashing literature to present the research gaps to researchers for future studies.

Design/methodology/approach: The systematic review has been used to analyse past studies on ‘greenwashing’. The 325 research articles of the previous 10 years (2014–2023) were downloaded from the Scopus-indexed database using the keyword ‘greenwashing’.

The findings: There is a need for a study on greenwashing in developing countries like India. An attempt should be made to analyse the research with a large sample size.

Research limitations: The scope of the data used in this study is limited by the source of retrieval, that is, the Scopus. The current source adequately serves the study’s purpose, as the Scopus database is one of the most significant citation databases. This study analyses data from the years 2014 to 2023 to improve credibility and reduce biases.

Practical implications: The research findings will significantly help researchers, green marketers, and practitioners be aware of the emerging markets of greenwashing and consumers’ rising greenwashing perception of green products.

Originality/value: This study is a novel attempt to explore a better understanding of greenwashing for researchers. The study is original; work has yet to be performed on this topic.

Joon Y. Park is one of the pioneers in developing nonlinear cointegrating regression. Since his initial work with Phillips (Park & Phillips, 2001) in the area, the past two decades have witnessed a surge of interest in modeling nonlinear nonstationarity in macroeconomic and financial time series, including parametric, nonparametric and semiparametric specifications of such models. These developments have provided a framework of econometric estimation and inference for a wide class of nonlinear, nonstationary relationships. In honor of Joon Y. Park, this chapter contributes to this area by exploring nonparametric estimation of functional-coefficient cointegrating regression models where the structural equation errors are serially dependent and the regressor is endogenous. The self-normalized local kernel and local linear estimators are shown to be asymptotic normal and to be pivotal upon an estimation of co-variances. Our new results improve those of Cai et al. (2009) and open up inference by conventional nonparametric method to a wide class of potentially nonlinear cointegrated relations.

With the continuous development of intelligent technologies, knowledge graph, the backbone of artificial intelligence, has attracted much attention from both academic and industrial communities due to its powerful capability of knowledge representation and reasoning. Besides, knowledge graph has been widely applied in different kinds of applications, such as semantic search, question answering, knowledge management, and so on. In recent years, knowledge graph techniques in China are also developing rapidly and different Chinese knowledge graphs have been built to support various applications. Under the background of “One Belt One Road (OBOR)” initiative, cooperating with the countries along OBOR on studying knowledge graph techniques and applications will greatly promote the development of artificial intelligence. At the same time, the accumulated experience of China on developing knowledge graph is also a good reference. Thus, in this chapter, the authors mainly introduce the development of Chinese knowledge graphs and their applications. The authors first describe the background of OBOR, and then introduce the concept of knowledge graph and three typical Chinese knowledge graphs, including Zhishi.me, CN-DBpedia, and XLORE. Finally, the authors demonstrate several applications of Chinese knowledge graphs.

The proceedings of the 17 editions of the conference of the Spanish Association of Scientific Experts in Tourism constitute a valuable archival resource within the research on Spanish tourism. But so far their contents have not been analyzed. The aim of this chapter is to examine the research that has been presented at its conference by means of a bibliometric analysis of the proceedings of 17 editions. The study focuses on the origin of the research (countries, regions, institutions, and authors), as well as its characteristics in terms of themes dealt with, geographical areas researched, methodologies, disciplinary areas, and attitudes toward tourism. Implications for the evolution of the research are discussed in terms of knowledge contributions and the shaping of major tourism research traditions.

In the Western thought tradition, the tourist has not been a subject worthy of intellectual musings and philosophical deliberations. Indeed, the tourist has been portrayed in primarily derisive ways. Nietzsche’s remark, “Tourists—they climb mountains like animals, stupid and perspiring, no one has told them that there are beautiful views on the way,” epitomizes the dominant attitude. Why does the figure of the tourist elicit such negative reactions? Do the sentiments perhaps imply something else, or is the tourist a doppelgänger, not anomalous or marginal but normative—a paradigmatic figure? If so, then what can be said of the poetics and politics of the tourist conceptualized as a paradigmatic subject?

After briefly discussing the two major approaches to the study of tourism (theoretical “why” and practical “how”), and two of their respective protagonists (Tribe and Aramberri), the focus of this chapter turns to the use of paradigms by the former group. First, the meaning of paradigm is explored and examples are provided of paradigms and paradigm shifts in tourism research. However, Aramberri challenges this theoretical position by asserting that such ideological frameworks are not paradigms at all, and are, at best, postmodern mantras. He further argues that such muddled thinking can be overcome once tourism becomes a scientific discipline, a stance firmly rejected by the theoreticians. Thereafter, the use of the word “paradigm” is examined in relation to conferences, research, and shifts, as well as such major tourism perspectives as authenticity, strangerhood, play, and conflict.

This chapter offers a new sustainability-oriented paradigm for cultural and heritage tourism studies: an integrated approach to heritage tourism and heritage conservation based on resilience. Its extensive literature review examines resilience in a range of disciplinary areas, including heritage conservation and tourism studies. An important aim is to “make visible” often neglected parameters in the interactions among social, cultural, economic, and environmental dimensions of heritage conservation and tourism. Within the broader concept of resilience, “cultural resilience” was identified as a crucial bridge between conservation and tourism. The study argues that resilience in general and its cultural forms in particular offer a potentially valuable framework vital for an integrated approach between the two in the common pursuit to manage change and uncertainty in cultural and heritage destinations. The chapter concludes with directions for further development of sustainability-oriented paradigm studies.

Leadership has been an active area of research and practice in China over the past 30 years of economic reform and organizational change. The main purpose of this chapter is to summarize recent progress from leadership research in China and to propose a growth model for Chinese change leadership. There have been three key trends emerging from the recent research and applications under organizational change in China: (1) problem-driven trend emphasizing global leadership context and business practices; (2) high-performance human resources configuration trend integrating key competencies to build up the new work systems for global leadership; and (3) theory-building trend focusing upon the conceptual development for global leadership areas for future research and applications in China. These trends are discussed in connection with organizational change and global entrepreneurship. The recent progresses in leadership research and practice in China indicated that leadership development has become more and more strategic and embedded with the cultural and industrial contexts. A theory of “adaptation-selection-development” (ASD) is proposed for more systematic research and theory development in global leadership research and applications in China. This chapter demonstrates frontier approaches and implications of the ASD framework for global leadership development are highlighted.