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The issue of environmental regulation and productivity has received increasing attention among academics, but little research has focused on Chinese firms despite the serious state of pollution in China. This study aimed to fill that gap. Analyzing a sample of firms from 12 Chinese cities, we found that environmental regulation could improve firm productivity, but the responses to environmental regulation differed across industry sectors, firm sizes, and locations. In this paper, we discuss the implications of these responses toward the environmental policy in China.

We compare environmental impacts associated with incoming foreign direct investment versus domestic capital in China. We use aggregate data on Chinese provinces’ economic and pollution indicators to explore the effects of the financial origin of fixed capital. Our simultaneous models consider three prime channels through which these effects work: economic scale, sectoral composition, and pollution intensity. Results show that emissions associated with foreign financed capital are lower than with domestically financed capital for some but not all of the considered types of pollution.

Accompany with the development of economy, the environment becomes deteriorating, especially in developing countries. Many studies found that foreign direct investment (FDI) with the effect of technology spillover would be one of the best ways to solve the environmental problem. By using the model of trade theory distinguishing between environmental and productive technology and separately analyzing the technology spillover effect of these two technologies on reducing environmental pollution in host countries, we find that the pollution problem could be worse if more intensive pollution industrial structure is induced by the environmental technology development. Naturally, this did not mean restraining the development of technology, but rather emphasizing the importance of the regulation and the industrial structure.

The current era is characterized by hyperturbulence, population growth, attention to food security, the need to identify sustainable strategies to reduce pollution and poverty, and the disparity between developed and undeveloped economies. These circumstances force a global paradigm shift based on sustainable practices and processes that put people and the environment at the core of each activity, contributing to sustainable, social, and economic development and promoting well-being in the community.

In this spirit, a strong impulse can derive from the practices of Green Technology, considered here as that set of processes aimed at eco-sustainability that acquire undisputed relevance, especially for emerging economies.

This chapter focuses on the role that Green technology practices exert in generating local well-being in the world's fifth-largest country: Brazil. Dynamic growth and effective social policies lifted millions of people out of poverty in the 2000s, even if socio-economic development varies widely across the country. Brazil is a leading global agricultural, minerals, and oil producer. The natural environment represents the primary source of Brazil's development that deserves to be protected and push firms and citizens to find new sustainable solutions based on green policies. Drawing inspiration from a Brazilian case study, this chapter proposes a set of building blocks that foster sustainable business practices in emerging countries.

The chapter is organized as follows: the first part introduces the concept of green technology practices; the second highlights the opportunities of green technologies; the third focuses on a single case study.

Searching for a job is an important process that influences short- and long-term career outcomes as well as well-being and psychological health. As such, job search research has grown tremendously over the last two decades. In this chapter, the authors provide an overview of prior research, discuss important trends in current research, and suggest areas for future research. The authors conceptualize the job search as an unfolding process (i.e., a process through which job seekers navigate through stages to achieve their goal of finding and accepting a job) in which job seekers engage in self-regulation behaviors. The authors contrast research that has taken a between-person, static approach with research that has taken a within-person, dynamic approach and highlight the importance of combining between- and within-person designs in order to have a more holistic understanding of the job search process. Finally, authors provide some recommendations for future research. Much remains to be learned about what influences job search self-regulation, and how job self-regulation influences job search and employment outcomes depending on individual, contextual, and environmental factors.

The central debate on pollution havens concerns whether the level of environmental regulation in developing countries influences foreign investment location decisions. Most empirical studies are based on aggregate data, while micro-level evidence is relatively lacking in the literature. To fill this research gap, this paper tests for the existence of intracountry pollution havens in China by estimating the determinants of foreign investment flows based on a large firm-level panel dataset. Evidence from this study supports the existence of pollution havens within China in certain industries. However, the sensitivity of foreign investment to environmental regulation varies significantly across industries with different pollution characteristics. Furthermore, when the impact of government subsidies on foreign investment is accounted for, the results show that subsidies can compensate for pollution treatment costs in provinces with stricter environmental regulation.

Sustainability is an emotional issue. It is also an issue that is gaining prominence in organizational agendas. In this chapter, we outline a model to explain how employees perceive change agents working to implement sustainability initiatives in organizations. Using this model, we argue that organizational support for sustainability can influence how employees respond to sustainability messages. We further argue that the intensity of emotions that change agents display, and how appropriate those emotions are within the organizational context, will influence how employees perceive those individuals and the success of their efforts to influence green outcomes.

We extend the Dual Threshold Model of emotions (DTM: Geddes & Callister, 2007) to assess the impact of displays of emotional intensity on achieving sustainability goals. Our model links emotional propriety to change agent success. By exploring variations of the DTM in terms of contextual factors and emotional intensity, our model elaborates on the dynamic nature of emotional thresholds.

Using our framework, change agents may be able to improve their influence by matching the emotional intensity of their messages to the relevant display rules for that organization. That is, change agents who are perceived to express emotion within the thresholds of propriety can enhance their success in implementing green outcomes.

This chapter examines sustainability initiatives at the interpersonal behavior level. We combine aspects of organizational behavior, emotion in organizations, and organizations and the natural environment to create a new model for understanding change agent success in corporate sustainability.

We examine the effect of firm ownership status on three environmentally relevant variables: energy efficiency, toxic emissions, and spending on pollution abatement. Prior research has demonstrated that public firms invest less than private firms and suggests this difference is due pressure from investors to strongly favor short over long-term earnings. We extend this logic to other firm behavior, examining whether publicly owned facilities invest in energy efficiency and pollution reduction differently than privately owned facilities. Using data from the US Census of Manufactures from 1980 to 2009, information on pollution from the Environmental Protection Agency Toxic Release Inventory (TRI) and pollution abatement spending from the Pollution Abatement Costs and Expenditures survey, we find that facilities switching to public ownership are less energy efficient and spend less on pollution abatement than their privately owned counterparts. However, we also find that facilities switching to public ownership have lower toxic emissions than other facilities. We also examine how different sources of external pressures alter these results and find that increased regulatory scrutiny is correlated with increased energy efficiency, toxic emissions, and abatement spending. More concentrated institutional ownership in public firms is associated with lower energy efficiency as is a greater brand focus. These latter results are broadly consistent with the idea that publicly owned firms respond to pressures from investors with a reduced focus on environmentally relevant variables. However, since facilities switching to public ownership have lower toxic emissions, this suggests that there are two competing pressures in publicly owned facilities: cost pressures, consistent with lowered energy efficiency, and public perceptions, consistent with lower toxic emissions, particularly since TRI data became available. In this sense, the combination of ownership and transparency of information appears to influence how firms prioritize different stakeholders.

Strong versions of the Precautionary Principle (PP) require regulators to prohibit or impose technology controls on activities that pose uncertain risks of possibly significant environmental harm. This decision rule is conceptually unsound and would diminish social welfare. Uncertainty as such does not justify regulatory precaution. While they should reject PP, regulators should take appropriate account of societal aversion to risks of large harm and the value of obtaining additional information before allowing environmentally risky activities to proceed.