Purpose/aim: The purpose of this dissertation is to find out the effect of waste disposal on environment and to explore the effect of renewable resources on economy. We use some data to test and verify the existence of effects. Design/methodology/approach: We use our questionnaires to collect data, and analyze the data in statistical tests. We use case studies to find examples to verify the significance of waste classification and renewable resources as well as the problems in main cities of China. Findings: The analysis shows that we need to focus on waste classification education, if we want to apply it in real life. The best way to use renewable resource more widely is to aquire government support. If we can carry out waste classification better, we can make use of more renewable resources. Originality/value: The value of this paper is that we prove that using waste classification and renewable resource can increase economic growth rate and protect the environment. It is also important because economic growth brings about the reduction of environment quality. When the environment quality decreases, the economic level will also decrease.

Crop research has undergone a major transformation in North America and many other parts of the word. The introduction of biotechnology and Intellectual Property Rights (IPR) alter the nature of research products, which in turn changes the structure of the agricultural research industry from perfectly competitive to imperfectly competitive. The implications of these changes are not fully understood. The objective of this thesis is to develop a broader understanding of how biotechnology, changes in IPRs and the resulting changes in industry structure have affected private and public incentives for agricultural research. The specific goals include development of an analytical framework to examine the incentives for private R&D expenditure, and the spillovers between basic and applied research and between private and public firms. To achieve the objective of this study, a stochastic analytical model within an imperfect competitive framework was developed. Specifically, what is developed is a three-stage search/imperfect competition model characterized by two research firms developing and selling differentiated products to producers who are heterogeneous with respect to some attributes. Agricultural research is modeled with explicit recognition of the search process, which allows us to recognize research as a stochastic process with sporadic outcomes and to explicitly model the interaction between basic and applied research. The findings of this study are mainly in the form of propositions. It was shown that basic public research "crowds in" applied private research while applied public research "crowds out" applied private research. The current technology level and the cost of the experimentation negatively affect private investment, while the price of the final product positively affects the private investment. Moreover, it is concluded that, the greater the product heterogeneity, the higher the price charged with the same amount of R&D. Finally, it is shown that the increase in IPR's and the firm's market size has a positive effect on the private firm's amount of R&D investment. The econometric analysis, using data from the canola industry, provides empirical evidence to support the analytical framework and the proposition derived in this study. The study also draws a number of policy implications from the derived propositions.

This dissertation identifies the average treatment effect of state level incentives for hybrid vehicles, identifies individual-level predictors of early adopters, and attempts to understand why states adopt these incentives. These questions are estimated using traditional parametric techniques, logistic regression, difference-in-difference regression, and fixed effects. In particular, this dissertation looks at changes in aggregate demand on two comparison groups: (1) the natural control group, states that did not adopt subsidies, and (2) a constructed control group, states that proposed subsidies during this same time period but did not adopt them. In addition to these parametric models, propensity score matching was used to construct a third comparison group using the models that identified determinants of the policy adoption. These findings were supplemented by exploratory analyses using the individual-level National Household Travel Survey. This multitude of evaluative analyses shows that HOV lane exemptions, if implemented in places with high traffic congestion, were found to impact aggregate demand and an individual's propensity to adopt a hybrid, while traditional incentives had limited impact. These analyses provide insight into why states adopt certain policies and the circumstances in which these incentives are effective. Since people may be motivated by factors other than economic factors, creating effective incentives for energy efficiency technologies may be more challenging than just offsetting the price differential. Instead, customization to the local community's characteristics could help increase the efficacy of such policies.

In the last 30 years, in vitro fertilization (IVF) has created a significant amount of controversy around the world. Within the U.S., policy movement has been limited, occurring primarily at the state level, which has created a fragmented system of rules to manage the technology. However, there appear to be indications that how the issue is presented, and which actors are chosen to be represented in legislation, may impact the passage of policy, thereby also providing a reason for why little policy movement has occurred. In this study, pieces of federal, California and Georgia legislation were examined for the occurrence of differing frames, as identified by the actors presented, in order to determine whether different frames occurred in passed legislation than those found in failed legislation. It was determined that, while actors did not differ significantly between passed and failed legislation, there were some slight differences between actors used at the federal level, as well between the different state levels. Even further, the presentation of actors and their interests did appear to differ slightly between passed and failed legislation.

This study examines the deployment of automated red light camera systems in the state of Texas from 2003 through late 2007. The deployment of new technologies in general, and surveillance infrastructures in particular, can prove controversial and challenging for the formation of public policy. Red light camera surveillance during this period in Texas was increasingly discussed in a variety of public forums, creating a discourse involving many stakeholders and multiple opinions on the use and purpose of red light cameras. Public policy resulted when the Texas legislature, which had traditionally been viewed as hostile to the technology, regulated red light camera systems in 2007. My research examined the language choices made by various discourse communities in their discussion of red light camera systems, and their use of language structures in framing positions that either supported or opposed the cameras. Using Critical Discourse Analysis, I analyzed a corpus of texts that represented the public discussion of red light camera technology in Texas. By examining metaphor constructions used to describe the camera systems, I found that metaphors played an important role in framing arguments for or against the deployment of the cameras. My findings provide insight into the ways that language can be used to engage in a discursive and rhetorical conflict. This study has implications for understanding how technology and surveillance policy can be affected by language choices and rhetorical strategies, and how these choices can frame and influence public policy decisions. / text

published_or_final_version / Public Administration / Master / Master of Public Administration

published_or_final_version / Geography / Doctoral / Doctor of Philosophy

The Best PhD Thesis in the Faculties of Architecture, Arts, Business &Economics, Education, Law and Social Sciences (University of HongKong), Li Ka Shing Prize, 2009-2010 / published_or_final_version / Sociology / Doctoral / Doctor of Philosophy

published_or_final_version / Law / Doctoral / Doctor of Philosophy

published_or_final_version / Politics and Public Administration / Master / Master of Public Administration