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Description中国证券市场一直存在着双重上市公司A、H股价差异现象，这一“同股同权不同价”的现象，长期以来都是国内外学者热议的课题之一。
本文在系统性整理前人研究成果基础上，首先对造成A、H股价差效应的内在逻辑进行了系统梳理，提炼出影响双重上市公司A、H股价格差异的9个潜在因素：信息不对称、需求差异、流动性差异、投机性差异、风险差异、公司治理结构、利率差异、市场强弱差异、汇率预期。其次，本文为各潜在影响因素构建了新的代理变量，建立面板数据模型，从全市场和行业两大视角做了实证分析，验证了影响双重上市公司A、H股价格差异的可能因素，且实证结果均通过了平稳性检验。实证结果显示：全市场视角下，仅公司治理结构和市场强弱差异对A、H价格差异的影响不显著。行业视角下，对于金融行业的双重上市公司而言，影响其A、H股价格差异的因素包括：需求差异、流动性差异、风险差异、市场强弱差异、利率差异；信息不对称、投机性差异、公司治理结构、汇率预期不具有显著影响。而对于非金融行业的双重上市公司而言，影响其A、H股价格差异的因素包括：信息不对称、需求差异、流动性差异、风险差异、投机性差异、市场强弱差异、利率差异、汇率预期；公司治理结构则不是显著的影响因素。
本文在实证分析所得结论的基础上，考虑到当前A、H股市场的现状，提出了加强资本市场双向开放、大力发展以基金为代表的机构投资者、坚定推行股票发行注册制改革、推动金融创新、丰富投资工具等建议。这一研究结果对于推动我国资本市场进一步完善，具有重要的理论与现实意义。
本文在系统性整理前人研究成果基础上，首先对造成A、H股价差效应的内在逻辑进行了系统梳理，提炼出影响双重上市公司A、H股价格差异的9个潜在因素：信息不对称、需求差异、流动性差异、投机性差异、风险差异、公司治理结构、利率差异、市场强弱差异、汇率预期。其次，本文为各潜在影响因素构建了新的代理变量，建立面板数据模型，从全市场和行业两大视角做了实证分析，验证了影响双重上市公司A、H股价格差异的可能因素，且实证结果均通过了平稳性检验。实证结果显示：全市场视角下，仅公司治理结构和市场强弱差异对A、H价格差异的影响不显著。行业视角下，对于金融行业的双重上市公司而言，影响其A、H股价格差异的因素包括：需求差异、流动性差异、风险差异、市场强弱差异、利率差异；信息不对称、投机性差异、公司治理结构、汇率预期不具有显著影响。而对于非金融行业的双重上市公司而言，影响其A、H股价格差异的因素包括：信息不对称、需求差异、流动性差异、风险差异、投机性差异、市场强弱差异、利率差异、汇率预期；公司治理结构则不是显著的影响因素。
本文在实证分析所得结论的基础上，考虑到当前A、H股市场的现状，提出了加强资本市场双向开放、大力发展以基金为代表的机构投资者、坚定推行股票发行注册制改革、推动金融创新、丰富投资工具等建议。这一研究结果对于推动我国资本市场进一步完善，具有重要的理论与现实意义。
ContributorsWang, Huan (Author) / Zhu, Hongquan (Thesis advisor) / Li, Feng (Thesis advisor) / Yan, Hong (Committee member) / Arizona State University (Publisher)
Created2019
Description航天产业属于技术密集型行业，现阶段中国航天的发展需要巨额资金和科研人力资本。传统航天企业内员工相较商业航天企业缺乏创新精神，“搭便车”现象严重，缺乏以创新为内在增长动力的传统航天产业，其发展持续性终究得不到满足。相比而言，国内外的商业航天企业却展现出较强的创新能力。遗憾的是，虽然航天产业的高科技属性决定了科研人员的关键角色，但目前的研究几乎没有系统地研究过不同的体制对航天产业创新的影响机制，而有限的研究也集中在讨论宏观环境对行业创新的影响。本研究将弥补这方面研究的不足，分析传统航天模式与新兴商业航天模式下科研人员创新力差别的内在动因，力求给传统航天产业的发展提供有实际意义的参考和建议。
作者自2008年加入传统航天院所从事科研工作，2014年创立中国第一家商业卫星公司，在实践中充分利用面试知识型员工的机会，并深入访谈了不同职级的科研人员，覆盖了30家商业航天公司（截至2016年上市公司54家），包括来自中国传统航天的科研院所、直属航天企业及新兴商业航天公司300余人。通过多次沟通、邮件往来等方式进一步调查研究，发现不同所有制公司的员工在组织认同度方面存在较为明显的差异。为了系统科学地理解组织认同度在航天行业内如何影响不同体制下的科研人员的创新，本研究采用问卷调查的形式收集了1200份问卷，研究在传统航天及商业航天这两种不同所有制的航天企业中，组织认同度与科研人员创新能力的关系。从实证结果来看，航天产业员工组织认同度会显著影响员工的创新绩效，组织认同度越高的员工其创新能力往往更强，员工创新绩效越高。与此同时，通过进一步研究分析发现，航天产业公司所有权属性的差异在组织认同影响员工创新能力的过程中起着调节作用。具体而言，传统航天企业中的员工，其组织认同度对其员工创新能力影响更小，商业航天公司员工创新能力受到其组织认同度的影响相对较大。
研究结果从某种程度上反映了航天领域不同所有权属性企业所具有的不同的组织文化、组织价值观与组织结构会导致其员工个体组织认同度对其创新行为的影响产生差异。从组织文化的角度出发，商业航天企业其组织文化相对于传统航天企业而言更加自由，对员工创意、创新行为限制更少，这种自由的文化刺激并提高了员工的组织认同度，使得个体创新行为的效果更加显著。另外，从组织价值观的角度而言，商业航天企业员工相对于传统航天企业员工来讲更加看重创新行为的意义，其对员工创新行为的重视使其员工组织认同度对员工取得创新绩效产生了催化作用。最后，从组织结构的角度来看，商业航天企业其管理层相对而言往往更愿意接受企业中员工的创意与创新行为，给员工留下了相当大的创新空间，这种灵活的管理方式从某种程度上也会促进组织认同度对员工创新行为产生影响。
作者自2008年加入传统航天院所从事科研工作，2014年创立中国第一家商业卫星公司，在实践中充分利用面试知识型员工的机会，并深入访谈了不同职级的科研人员，覆盖了30家商业航天公司（截至2016年上市公司54家），包括来自中国传统航天的科研院所、直属航天企业及新兴商业航天公司300余人。通过多次沟通、邮件往来等方式进一步调查研究，发现不同所有制公司的员工在组织认同度方面存在较为明显的差异。为了系统科学地理解组织认同度在航天行业内如何影响不同体制下的科研人员的创新，本研究采用问卷调查的形式收集了1200份问卷，研究在传统航天及商业航天这两种不同所有制的航天企业中，组织认同度与科研人员创新能力的关系。从实证结果来看，航天产业员工组织认同度会显著影响员工的创新绩效，组织认同度越高的员工其创新能力往往更强，员工创新绩效越高。与此同时，通过进一步研究分析发现，航天产业公司所有权属性的差异在组织认同影响员工创新能力的过程中起着调节作用。具体而言，传统航天企业中的员工，其组织认同度对其员工创新能力影响更小，商业航天公司员工创新能力受到其组织认同度的影响相对较大。
研究结果从某种程度上反映了航天领域不同所有权属性企业所具有的不同的组织文化、组织价值观与组织结构会导致其员工个体组织认同度对其创新行为的影响产生差异。从组织文化的角度出发，商业航天企业其组织文化相对于传统航天企业而言更加自由，对员工创意、创新行为限制更少，这种自由的文化刺激并提高了员工的组织认同度，使得个体创新行为的效果更加显著。另外，从组织价值观的角度而言，商业航天企业员工相对于传统航天企业员工来讲更加看重创新行为的意义，其对员工创新行为的重视使其员工组织认同度对员工取得创新绩效产生了催化作用。最后，从组织结构的角度来看，商业航天企业其管理层相对而言往往更愿意接受企业中员工的创意与创新行为，给员工留下了相当大的创新空间，这种灵活的管理方式从某种程度上也会促进组织认同度对员工创新行为产生影响。
ContributorsWang, Yang (Author) / Zhu, Hongquan (Thesis advisor) / Zhang, Anmin (Thesis advisor) / Zheng, Zhiqiang (Committee member) / Arizona State University (Publisher)
Created2019
Description
Recognizing that CEOs are less capable of diversifying their employment risks than shareholders who could diversify their investment risks through portfolio investments, agency theory assumes that CEOs tend to be risk averse compared with shareholders. Based on this assumption, agency theory scholars suggest that to align the risk preference of CEOs with that of shareholders, CEOs need to be closely monitored and have less power. SEC regulators have been adopting the suggestion and accordingly CEO power has been reduced in the past decades. However, the empirical results are mixed and cannot provide solid support for the suggestion that reducing CEO power could lead the CEO to take more risks.
Considering that managerial risk taking is an important issue in strategic management research and agency theory has been widely adopted in academia and business worlds, it is imperative to clarify the mechanism behind the relationship between CEO power and risk taking. My study aims to fill this research gap. In this study I follow agency theory to take an employment security perspective and fully consider how CEOs’ concern about employment security is affected by their power and ownership structure to enrich the understanding of the effects of CEO power and ownership structure on risk taking. I fine-tune the key concept CEO power into the CEO power over board and introduce a key aspect of ownership structure - nontransient investor ownership. I further suggest that CEO power over board and nontransient investor ownership affect CEOs’ employment security and the resulting CEO risk taking. In addition, I consider a set of industry and firm characteristics as the boundary conditions for the effects of CEO power and nontransient investor ownership on CEO risk-taking. This set of industry and firm characteristics include industry complexity, industry dynamism, industry munificence and firm slack.
I test my theory using a large-scale, multi-year sample of U.S. publicly listed S&P 1500 firms between 2001 and 2017. My main hypotheses about the effects of CEO power over board and nontransient investor ownership on CEO risk taking receive strong support.
Considering that managerial risk taking is an important issue in strategic management research and agency theory has been widely adopted in academia and business worlds, it is imperative to clarify the mechanism behind the relationship between CEO power and risk taking. My study aims to fill this research gap. In this study I follow agency theory to take an employment security perspective and fully consider how CEOs’ concern about employment security is affected by their power and ownership structure to enrich the understanding of the effects of CEO power and ownership structure on risk taking. I fine-tune the key concept CEO power into the CEO power over board and introduce a key aspect of ownership structure - nontransient investor ownership. I further suggest that CEO power over board and nontransient investor ownership affect CEOs’ employment security and the resulting CEO risk taking. In addition, I consider a set of industry and firm characteristics as the boundary conditions for the effects of CEO power and nontransient investor ownership on CEO risk-taking. This set of industry and firm characteristics include industry complexity, industry dynamism, industry munificence and firm slack.
I test my theory using a large-scale, multi-year sample of U.S. publicly listed S&P 1500 firms between 2001 and 2017. My main hypotheses about the effects of CEO power over board and nontransient investor ownership on CEO risk taking receive strong support.
ContributorsZhu, Qi (Author) / Shen, Wei (Thesis advisor) / Zhu, David (Thesis advisor) / Certo, Trevis (Committee member) / Arizona State University (Publisher)
Created2019
Description
Despite significant growth in research about supply chain integration, many questions remain unanswered regarding the path to integration and the benefits that can be accrued. This dissertation examines three aspects of supply chain integration in the health sector, leveraging the healthcare context to extend the theoretical boundaries, as well as applying supply chain knowledge to an industry known to be immature in terms of its supply chain practices.
In the first chapter, a supply chain operating model that breaks away from the traditional healthcare supply chain structures is examined. Consolidated Service Centers (CSCs) embody a shared services strategy, consolidating supply chain functions across multiple hospitals (i.e. horizontal integration) and disintermediating several key roles in healthcare supply chains such as the group purchasing organizations and national distributors. Through case studies, key characteristics of CSCs that enable them to reduce the level of supply chain complexity are examined.
The second chapter investigates buyer-supplier relationships in healthcare (i.e. supplier integration), where a high level of distrust exists between hospitals and their suppliers. This context is leveraged to study both enablers and barriers to buyer-supplier trust. The results suggest that contracting counteracts the negative effects of dependence on trust. Furthermore, the study reveals that hospital buyers may, in some situations, perceive dedicated resource investments made by suppliers as trust barriers, associating such investments with supplier upselling and entrenchment tactics. This runs contrary to how dedicated investments are perceived in most other industries.
In the third chapter, the triadic relationship between the hospital, supplier, and physician is taken into consideration. Given their professional autonomy and power, physicians commonly undermine hospital efforts in supply base rationalization and standardization. This study examines whether physician-hospital integration (i.e. customer integration) can drive physicians towards supply selection practices that align with the hospital’s sourcing strategies and ultimately result in better supply chain performance. This study utilizes theory on agency triads and professionalism and tests hypotheses through a random effects regression model applied to data about hospital financial performance and physician-hospital arrangements.
In the first chapter, a supply chain operating model that breaks away from the traditional healthcare supply chain structures is examined. Consolidated Service Centers (CSCs) embody a shared services strategy, consolidating supply chain functions across multiple hospitals (i.e. horizontal integration) and disintermediating several key roles in healthcare supply chains such as the group purchasing organizations and national distributors. Through case studies, key characteristics of CSCs that enable them to reduce the level of supply chain complexity are examined.
The second chapter investigates buyer-supplier relationships in healthcare (i.e. supplier integration), where a high level of distrust exists between hospitals and their suppliers. This context is leveraged to study both enablers and barriers to buyer-supplier trust. The results suggest that contracting counteracts the negative effects of dependence on trust. Furthermore, the study reveals that hospital buyers may, in some situations, perceive dedicated resource investments made by suppliers as trust barriers, associating such investments with supplier upselling and entrenchment tactics. This runs contrary to how dedicated investments are perceived in most other industries.
In the third chapter, the triadic relationship between the hospital, supplier, and physician is taken into consideration. Given their professional autonomy and power, physicians commonly undermine hospital efforts in supply base rationalization and standardization. This study examines whether physician-hospital integration (i.e. customer integration) can drive physicians towards supply selection practices that align with the hospital’s sourcing strategies and ultimately result in better supply chain performance. This study utilizes theory on agency triads and professionalism and tests hypotheses through a random effects regression model applied to data about hospital financial performance and physician-hospital arrangements.
ContributorsAbdulsalam, Yousef J (Author) / Schneller, Eugene S (Thesis advisor) / Gopalakrishnan, Mohan (Committee member) / Maltz, Arnold (Committee member) / Dooley, Kevin (Committee member) / Arizona State University (Publisher)
Created2016
Description
By collecting and analyzing more than two million tweets, U.S. House Representatives’ voting records in 111th and 113th Congress, and data from other resources I study several aspects of adoption and use of Twitter by Representatives. In the first chapter, I study the overall impact of Twitter use by Representatives on their political orientation and their political alignment with their constituents. The findings show that Representatives who adopted Twitter moved closer to their constituents in terms of political orientation.
By using supervised machine learning and text mining techniques, I shift the focus to synthesizing the actual content shared by Representatives on Twitter to evaluate their effects on Representatives’ political polarization in the second chapter. I found support for the effects of repeated expressions and peer influence in Representatives’ political polarization.
Last but not least, by employing a recently developed dynamic network model (separable temporal exponential-family random graph model), I study the effects of homophily on formation and dissolution of Representatives’ Twitter communications in the third chapter. The results signal the presence of demographic homophily and value homophily in Representatives’ Twitter communications networks.
These three studies altogether provide a comprehensive picture about the overall consequences and dynamics of use of online social networking platforms by Representatives.
By using supervised machine learning and text mining techniques, I shift the focus to synthesizing the actual content shared by Representatives on Twitter to evaluate their effects on Representatives’ political polarization in the second chapter. I found support for the effects of repeated expressions and peer influence in Representatives’ political polarization.
Last but not least, by employing a recently developed dynamic network model (separable temporal exponential-family random graph model), I study the effects of homophily on formation and dissolution of Representatives’ Twitter communications in the third chapter. The results signal the presence of demographic homophily and value homophily in Representatives’ Twitter communications networks.
These three studies altogether provide a comprehensive picture about the overall consequences and dynamics of use of online social networking platforms by Representatives.
ContributorsMosuavi, Seyedreza (Author) / Gu, Bin (Thesis advisor) / Vinzé, Ajay S. (Committee member) / Shi, Zhan (Michael) (Committee member) / Arizona State University (Publisher)
Created2016
Description
In two independent and thematically connected chapters, I investigate consumers' willingness to pay a price premium in response to product development that entails prosocial attributes (PATs), those that allude to the reduction of negative externalities to benefit society, and to an innovative participatory pricing design called 'Pay-What-You-Want' (PWYW) pricing, a mechanism that relinquishes the determination of payments in exchange for private goods to the consumers themselves partly relying on their prosocial preferences to drive positive payments. First, I propose a novel statistical approach built on the choice based contingent valuation technique to estimate incremental willingness to pay (IWTP) for PATs that accounts for consumer heterogeneity, dependence in the decision making processes, and incentive compatibility. I validate the approach by estimating IWTP for a variety of PATs and contrast the theoretical and managerial benefits of using the proposed approach over extant techniques used in the literature for this purpose. Second, I propose a general and flexible statistical modeling framework for estimating PWYW payments that exceed zero. It relies on the joint estimation of three types of consumer decision processes namely, the consumer propensity to default to an explicit price recommendation, the propensity to pay a least legitimate price, and the payment of a freely-chosen non-zero payment. Of particular interest is the model's ability to account for a wide variety of design constraints such as the setting of price bounds, explicit price recommendations, and the provision of a menu of discrete prices to choose from. I validate the approach by estimating PWYW payments for a variety of products such as music licenses, snacks, and sports tickets. I specifically examine and report the differential impact of three managerially controllable variables namely, 'payment anonymity', 'information on payment recipients' and 'information of product value/quality'.
ContributorsChristopher, Ranjit M (Author) / Wiles, Michael (Thesis advisor) / Ketcham, Jonathan (Committee member) / Park, Sungho (Committee member) / Arizona State University (Publisher)
Created2016
Description
This study seeks to develop a framework that can help firms in China’s guarantee industry to better identify and prevent risk when they offer guarantee services to small and medium-sized enterprises (SME). With the continuously increasing demands of SME financing, the guarantee industry has developed rapidly in China. Meanwhile, the turmoil in global financial markets and the significant slowdown of global economy have started to have a negative impact on China’s economy, increasing the risk exposure of China’s guarantee industry. In this context, risk identification and prevention becomes the core competence of a guarantee company. Based on a review of the existing research, two in-depth case studies, and the author’s personal experiences in this industry, this paper does not only provide a comprehensive list of the risks that guarantee firms face in China but also measures for risk identification and prevention.
This thesis is organized as follows. First, I provide a brief description about the emergence and development of China’s guarantee industry, as well as its current status. Next, I explain what kinds of risks faced by guarantee firms in China that influence their performance and survival, and summarize the various external and internal risk factors. I also conduct one in-depth case analysis to illustrate how a guarantee firm can better identify the risks it is exposed to. Next, on the basis of another in-depth case analysis, I develop a framework that can help guarantee firms to systematically develop effective measures of risk identification and prevention. I conclude with a discussion of this study’s implications for guarantee firms and the regulatory governmental agencies in China.
This thesis is organized as follows. First, I provide a brief description about the emergence and development of China’s guarantee industry, as well as its current status. Next, I explain what kinds of risks faced by guarantee firms in China that influence their performance and survival, and summarize the various external and internal risk factors. I also conduct one in-depth case analysis to illustrate how a guarantee firm can better identify the risks it is exposed to. Next, on the basis of another in-depth case analysis, I develop a framework that can help guarantee firms to systematically develop effective measures of risk identification and prevention. I conclude with a discussion of this study’s implications for guarantee firms and the regulatory governmental agencies in China.
ContributorsWu, Daorong (Author) / Shen, Wei (Thesis advisor) / Liu, Jun (Thesis advisor) / Chang, Chun (Committee member) / Arizona State University (Publisher)
Created2016
Description
With the fast development of Chinese capital market, an increasing number of institutions and retail investors invest through professional managers. The key to evaluating investment manager’s skill and performance persistence largely lies in portfolio style research and attribution analysis.
The current dissertation takes advantage of a unique dataset, uncover hidden investment style and trading behavior, understanding their source of excess returns, and establishing a more comprehensive methodology for evaluating portfolio performance and manager skills.
The dissertation focuses on quantitative analysis. Highlights three most important aspects. Investment style determines the systematic returns and risks of any portfolio, and can be assessed ex-ante; Transaction can be observed and modified during the investment process; and return attribution can be implemented to evaluate portfolio (managers), ex-post. Hence, these three elements make up a comprehensive and logical investment process.
Investment style is probably the most important factor in determining portfolio returns. However, Chinese investment managers are under constant pressure to follow the market trend and shift style accordingly. Therefore, accurately identifying and predicting each manager’s investment style proves critically valuable.
In addition, transaction data probably provides the most reliable source of information in observing and evaluating an investment manager’s style and strategy, in the middle of the investment process.
Despite the efficacy of traditional return attribution methodology, there are clear limitations. The current study proposes a novel return attribution methodology, by synthesizing major portfolio strategy components, such as risk exposure adjustment, sector rotation, stock selection, altogether. Our novel methodology reveals that investment managers do not obtain much abnormal returns through risk exposure adjustment or sector rotation. Instead, Chinese investment managers seem to enjoy most of their excess returns through stock selection.
In addition, we find several interesting patterns in Chinese A-share market: 1). There is a negative relationship between asset under management (AUM) and investment performance, beyond certain AUM threshold; 2). There are limited benefits from style switching in the long run; 3). Many investment managers use CSI 300 component stocks as portfolio ballast and speculate with CSI500 and Medium-and-Small board component stocks for excess returns; 4). There is no systematic negative relationship between portfolio turnover and investment performance; despite negative relationship within certain sub-samples and sectors; 5). It is plausible to construct out-performing portfolios with style index funds and ETFs.
The current dissertation takes advantage of a unique dataset, uncover hidden investment style and trading behavior, understanding their source of excess returns, and establishing a more comprehensive methodology for evaluating portfolio performance and manager skills.
The dissertation focuses on quantitative analysis. Highlights three most important aspects. Investment style determines the systematic returns and risks of any portfolio, and can be assessed ex-ante; Transaction can be observed and modified during the investment process; and return attribution can be implemented to evaluate portfolio (managers), ex-post. Hence, these three elements make up a comprehensive and logical investment process.
Investment style is probably the most important factor in determining portfolio returns. However, Chinese investment managers are under constant pressure to follow the market trend and shift style accordingly. Therefore, accurately identifying and predicting each manager’s investment style proves critically valuable.
In addition, transaction data probably provides the most reliable source of information in observing and evaluating an investment manager’s style and strategy, in the middle of the investment process.
Despite the efficacy of traditional return attribution methodology, there are clear limitations. The current study proposes a novel return attribution methodology, by synthesizing major portfolio strategy components, such as risk exposure adjustment, sector rotation, stock selection, altogether. Our novel methodology reveals that investment managers do not obtain much abnormal returns through risk exposure adjustment or sector rotation. Instead, Chinese investment managers seem to enjoy most of their excess returns through stock selection.
In addition, we find several interesting patterns in Chinese A-share market: 1). There is a negative relationship between asset under management (AUM) and investment performance, beyond certain AUM threshold; 2). There are limited benefits from style switching in the long run; 3). Many investment managers use CSI 300 component stocks as portfolio ballast and speculate with CSI500 and Medium-and-Small board component stocks for excess returns; 4). There is no systematic negative relationship between portfolio turnover and investment performance; despite negative relationship within certain sub-samples and sectors; 5). It is plausible to construct out-performing portfolios with style index funds and ETFs.
ContributorsZhan, Yuyin (Author) / Gu, Bin (Thesis advisor) / Wang, Jiang (Thesis advisor) / Wang, Tan (Committee member) / Arizona State University (Publisher)
Created2016
Description
It is well understood that innovation drives productivity growth in agriculture. Innovation, however, is a process that involves activities distributed throughout the supply chain. In this dissertation I investigate three topics that are at the core of the distribution and diffusion of innovation: optimal licensing of university-based inventions, new variety adoption among farmers, and consumers’ choice of new products within a social network environment.
University researchers assume an important role in innovation, particularly as a result of the Bayh-Dole Act, which allowed universities to license inventions funded by federal research dollars, to private industry. Aligning the incentives to innovate at the university level with the incentives to adopt downstream, I show that non-exclusive licensing is preferred under both fixed fee and royalty licensing. Finding support for non-exclusive licensing is important as it provides evidence that the concept underlying the Bayh-Dole Act has economic merit, namely that the goals of university-based researchers are consistent with those of society, and taxpayers, in general.
After licensing, new products enter the diffusion process. Using a case study of small holders in Mozambique, I observe substantial geographic clustering of new-variety adoption decisions. Controlling for the other potential factors, I find that information diffusion through space is largely responsible for variation in adoption. As predicted by a social learning model, spatial effects are not based on geographic distance, but rather on neighbor-relationships that follow from information exchange. My findings are consistent with others who find information to be the primary barrier to adoption, and means that adoption can be accelerated by improving information exchange among farmers.
Ultimately, innovation is only useful when adopted by end consumers. Consumers’ choices of new products are determined by many factors such as personal preferences, the attributes of the products, and more importantly, peer recommendations. My experimental data shows that peers are indeed important, but “weak ties” or information from friends-of-friends is more important than close friends. Further, others regarded as experts in the subject matter exert the strongest influence on peer choices.
University researchers assume an important role in innovation, particularly as a result of the Bayh-Dole Act, which allowed universities to license inventions funded by federal research dollars, to private industry. Aligning the incentives to innovate at the university level with the incentives to adopt downstream, I show that non-exclusive licensing is preferred under both fixed fee and royalty licensing. Finding support for non-exclusive licensing is important as it provides evidence that the concept underlying the Bayh-Dole Act has economic merit, namely that the goals of university-based researchers are consistent with those of society, and taxpayers, in general.
After licensing, new products enter the diffusion process. Using a case study of small holders in Mozambique, I observe substantial geographic clustering of new-variety adoption decisions. Controlling for the other potential factors, I find that information diffusion through space is largely responsible for variation in adoption. As predicted by a social learning model, spatial effects are not based on geographic distance, but rather on neighbor-relationships that follow from information exchange. My findings are consistent with others who find information to be the primary barrier to adoption, and means that adoption can be accelerated by improving information exchange among farmers.
Ultimately, innovation is only useful when adopted by end consumers. Consumers’ choices of new products are determined by many factors such as personal preferences, the attributes of the products, and more importantly, peer recommendations. My experimental data shows that peers are indeed important, but “weak ties” or information from friends-of-friends is more important than close friends. Further, others regarded as experts in the subject matter exert the strongest influence on peer choices.
ContributorsFang, Di (Author) / Richards, Timothy J. (Thesis advisor) / Bolton, Ruth N (Committee member) / Grebitus, Carola (Committee member) / Manfredo, Mark (Committee member) / Arizona State University (Publisher)
Created2015
Description
This paper studies the dynamic relationship between the pricing of Alternative Asset Management products and macroeconomic variables. It does so using an index of Alternative Asset Management products, employing a VAR framework and examining the implied impulse response functions. I find a bivariate causal relation between the expected rate of return on Alternative Asset Management products and the growth rate of industrial value added. I also find that the CPI, the yield on one-year national debt, the weighted average yield of bond repurchases in interbank bond market, and the one-year loan interest rate can influence the expected return rate of Alternative Asset Management products. An analysis of the variance decomposition suggests that macroeconomic variables have a different impacts on forecast errors variance.
ContributorsHuang, Jianxian (Author) / Wahal, Sunil (Thesis advisor) / Chang, Chun (Thesis advisor) / Lee, Peggy (Committee member) / Arizona State University (Publisher)
Created2016