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Existing literature shows that corporate investment relationships play an important role in the development of startups. Although startups are relevant sources of innovations, especially those that radically depart from existing technologies, they often have limited access to resources. Corporate investment relationships are relevant to startups because they help them access resources of their corporate partners, especially those that are necessary for innovations to eventually achieve commercial success. This study examines the possibility that these relationships might also affect how startups search for innovations, producing greater alignment with the technologies of incumbents. Investigating this possibility is important because it can partly offset startups' distinctiveness in technological domains of search and accordingly undercut learning opportunities available to incumbents. We argue that, following the formation of a corporate investment relationship, considerations related to capabilities and incentives result in a startup shifting the search for innovations toward technological domains of its corporate partner. We also argue that the radicalness of a startup's innovations and the corporate partner's commercial success exacerbate this search shift. We test these propositions in the context of biotech startups. Our difference-in-differences analysis shows that startups forming corporate investment relationships increase search in the domains of their corporate partners relative to analogous change observed among matching counterfactual startups without such relationships. We discuss implications for understanding of the influences of interorganizational relationships on startups' technological trajectories and on incumbents' learning and adaptation.

When foreign and local firms compete, they face competitors acting quite differently from themselves. Specifically, their ability to engage in timely and frequent actions is influenced by, respectively, the Liability of Foreignness (LoF) and the Liability of Localness (LoL). We explore how the trade-off between LoF and LoL influences the aggressiveness of competitive actions firms take in emerging markets. Specifically, we argue that LoF results in weaker government ties that inhibit the aggressiveness of competitive actions of multinational subsidiaries, while LoL results in weaker technological capabilities that inhibit competitive aggressiveness of domestic firms. We apply structural equation modelling on Chinese survey data to test hypotheses derived from these arguments and find empirical support. Our results shed new light on competitive dynamics in an emerging economy.

The utilization of crop straw biomass resources is highly emphasized by governments and academia in recent decades. Based on the core databases of the literature in China National Knowledge Infrastructure (CNKI) academic journals, CiteSpace software is used to analyze and process the hotspots, and this study proposed the primary coverage and evolutionary trends of research on the utilization of crop straw resources. The thesis proposes the research development trend for improving the institutional mechanism of the utilization of crop straw resources, strengthening technology research and development, exploring the economic model of green cycle agriculture, accelerating the construction of the industrial system, and designing new paths of resource utilization in multiple ways, which helps estimate the development trend of the utilization of crop straw resources and provide inspiration and direction for future research and practices.

Thailand has experienced severe air-quality problems for the past 10 years. Complicating this situation, the Thai government allocates an insufficient budget for the management of air pollution. Using the contingent valuation method, this paper estimates the willingness to pay for air-quality improvement in Thailand to reveal the benefits that people will gain if air-quality improves. The results show that the total benefits from air-quality improvement would be 18.8 billion baht in 2020. The Thai government can use these findings as a guideline to redistribute its budget to address air pollution more effectively.