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学术前沿 | 你知道吗?在数据分析领域,农经学者是最早一批“吃螃蟹的人”

启研学社 三农大数据 2022-12-31

启研学社由知名学者担任学术顾问,高校师生与企研数据科学团队联合组建,以大数据资源及相关技术助力中国学术与智库研究为宗旨的研究组织。团队当前的主要目标是挖掘经济社会大数据资源在学术和智库领域的应用价值,开展学术大数据治理研究,以及探索大数据分析技术融入中国经济社会研究的可行进路。


本文来源: Agricultural Economics as a Poster Child of Applied Economics: Big Data & Big Issues
作者:DAVID ZILBERMAN
翻译说明:(1)本(系列)论文翻译稿由启研学社实习生完成,旨在帮助本科生或低年级研究生交流经验研究的方法;(2)本翻译稿仅用于学习交流,请勿用于商业目的。


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Agricultural economists have embodied the notions of applied economics for a long time. They have used economic principles to address real-world problems, integrating economics and scientific knowledge.Applied economics tends to be multidisciplinary and develop applied concepts, theories, and tools. Some, like human capital, diffusion of innovation, contingent valuation, and numerous numerical and econometric techniques have spread throughout economics. Agricultural economic research has been data intensive, and improved information technologies strengthen this tendency. Yet data without theory is of limited use and coevolution of theory and data are essential. Empirical analysis should incorporate quantitative information as well as narratives. We are challenged to understand the coevolution of business, supply chains, and technology, and how they are affected by policies and affect markets. Research should integrate agriculture, energy, and the environment and develop tools to analyze and regulate the emerging bio-economy integrating biotech and infotech.

Key words: Big data;bio-economy;theory;relevance
摘要:一直以来,农业经济学家的研究体现了应用经济学的理念。他们使用经济学原理并融合经济学和科学知识来解决现实世界存在的问题。应用经济学往往涉及多门学科,并且发展了应用概念、理论以及工具。一些诸如人力资本、创新扩散、条件价值评估以及许多数理和计量经济学工具都已遍布整个经济学领域。农业经济学的研究经常会使用数据,随着信息技术水平不断提高,这种趋势正在不断加强。但是没有理论的数据在使用上会受到限制,因此理论与数据协同发展是非常有必要的实证分析应当包括定量信息论述分析。我们正面临着商业、供应链和技术共同发展的挑战,以及它们如何受到政策的影响以及对市场的影响。学术研究应将农业、能源和环境结合起来,并开发工具来分析和规范融合生物技术和信息技术的新兴生物经济


1.关于农业经济学,我们需要了解什么?


向下滑动查看更多One of the major questions I have been asked is this: What are the distinguishing features of applied economics—why are we a separate field? What I will try to say here is that we are part of economics but we have a unique emphasis and to understand it, we need to understand the history of agricultural economics and its evolution within economics. I will provide a historical overview of some of the major themes and contributions of agricultural economics, and then address it to some of the major challenges we have today. To what extent do we emphasize big data and databased analysis? Our emphasis on theory? What type of methodologies do we use for our empirical analysis? And what emphasis do we put on the development of methods versus addressing big problems? Economics spun off of philosophy, and Adam Smith himself was a professor of moral philosophy at Glasgow University (Rae 1895). Initially, economics was a study of household management, and it was not until the late eighteenth century that it took on its current meaning. Economists aimed to understand the working of the economy and its moral implications. With the theory in mind that “The laws of Nature are written in the language of mathematics,” according to Galileo, the logic and tools of mathematics have been applied to understand the behavior of the economy and actors in it. This has resulted, for example, in the general equilibrium theory of Arrow and Debreu and in Nash’s game theory. Economic theory generated some basic propositions. For example, under what conditions competitive markets are socially optimal, and the principles of relative advantage, which have often guided political agendas. Once economic concepts were refined, economists started to apply them to assess and predict the behavior of economic agents and market outcomes. Over time, a wide array of applied economics disciplines has emerged. While economics per se was deductive— aiming to identify basic rules and principles by logical thinking—applied economics tends to be inductive and problem-oriented. Agricultural economics was among the first and largest applied economics disciplines—it applied economic principles to problems with farm management and agricultural policies and relied on knowledge from life science disciplines like agronomy and biology. Other applied economic disciplines include labor economics and environmental economics, among others. Macroeconomics has originated as an applied economics discipline from John Maynard Keynes. As a practitioner in the market, Keynes realized that certain economic functions (consumption and behavior) follow patterns that were not predicted by classical economics. And in particular, he realized that markets, like the labor market, do not clear, and thus lead to unemployment. As a good applied economist, he developed a theory based on his observations, which became macroeconomics.
我经常会被问到这样一个问题:应用经济学显著的特征是什么——为什么会有不同的领域?我想在这里说的是,我们(农业经济学)是经济学的一部分,但是我们有一个需要了解的独特重点,即农业经济学的历史及其在经济学中的演变。我将对一些有关农业经济学主要的主题和贡献进行历史回顾,然后针对我们今天临的一些主要挑战进行探讨。那么我们要在多大程度上强调大数据和基于数据的分析呢?是基于我们对理论的重视程度吗? 我们应当使用何种方法论来进行实证分析?与解决重大问题相比,我们对于方法的发展又该重点关注什么呢?
经济学从哲学中衍生出来,亚当·斯密(Adam Smith)本人是格拉斯哥大学(Rae,1895)的道德哲学教授。最初,经济学研究的是家庭管理,直到18世纪末它才开始具备自己的特色经济学家致力于了解经济的运作方式及其道德含义。伽利略说,要牢记“自然法则是用数学语言写成的”这一理论,因此我们已经把逻辑和数学工具用于理解经济行为以及做出某种行为的人。例如,Arrow和Debreu的一般均衡理论以及Nash的博弈论是在运用数学的基础上产生的。
经济学理论产生了一些基本命题。例如,竞争性市场和通常用来指导政治议程的相对优势法则在什么条件下对社会是最优的。一旦我们对经济概念进行细化,经济学家便开始将其应用于评估和预测经济主体的行为以及市场结果。随着时间的流逝,各种各样的应用经济学学科出现。尽管经济学本身是演绎性的(旨在通过逻辑思维识别基本规则和原则),但应用经济学却往往是归纳性的和以问题为导向的农业经济学是应用经济学学科中第一批也是最大的学科之一,它将经济学原理应用于农场管理和农业政策问题,并依赖于如农学和生物学等生命科学学科的知识。其他应用经济学学科包括了劳动经济学和环境经济学等等。宏观经济学自约翰·梅纳德·凯恩斯提出的时候就是一门应用经济学学科。作为市场的从业者,凯恩斯意识到某些经济功能(消费和行为)遵循的是古典经济学无法预测的模式。特别是,他意识到一些市场(如劳动力市场)并没有得到出清,从而导致失业。作为一名出色的应用经济学家,凯恩斯根据自己的观察提出了一种理论,后来成为宏观经济学。

2.农业经济学与经济学是如何演变的?

(The Evolution of Agricultural Economics and Economics)


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Most classical theorists lived in a world where agriculture was the dominant industry, and therefore introduced theory based on a competitive equilibrium that characterized agriculture. In a way, classical economics is actually agricultural economics. The discipline of agricultural economics started from the merger of two fields—farm management and farm economics (Runge 2006). From the beginning, agricultural economics emphasized a few micro elements: guiding farmers on land use allocation, production decisions, and marketing. On a macro-level, this field attempted to understand the peculiar behavior of the farm sector, in particular to make sense of the farm crises and poverty, etc. From its onset, agricultural economics was empirical and data-oriented, and some of the early applications of statistical techniques in economics were on agricultural problems. As in the example of Keynes, where real world observations led to real applied theories, one of the features of agricultural economics is that, similar to macroeconomics, observations and attempts to understand real-life patterns have resulted in new theoretical and conceptual developments that really change economics as a whole. Thus, while it may seem that in economics there is a division of labor between general economic theorists who develop basic principles and tools and applied economists who use them, in reality, the relationship is more complex. There is the mainstream of economic theory that has basic rules and principles, and applied fields that integrate economics with specific areas of the realworld. Applied fields may combine principles of economics with principles of other disciplines, but these sub-fields are major contributors to mainstream economic theory and practice. Agricultural economics has a very successful record of changing the way economists think and work. Agricultural economists were among the first to pursue and analyze microdata and interact with economics agents as they developed their analysis. To some extent, agricultural economists have emphasized big data even before big data was “cool.” The work of Cochrane (1979) provides a perspective on agricultural policy in the United States and in general. Cochrane views the history of U.S. agriculture as a process of economic development with a few distinct stages. First, the early period consisting of the seventeenth to early eighteenth century is characterized by the search for appropriate technologies. There followed a period of expansion and increase in land base between 1750–1890. Cochrane suggests that, during this period, major policies that affected agriculture were those of homesteading that provided farmers with an incentive to settle with private property rights, as well as public policies that built infrastructure like the railroads, which allowed for major settlements. This was followed by a period of intensification from 1890 to the present. Again, government support of research and investment in infrastructure, for example water projects, were the key to the agricultural development of this period. Cochrane’s work suggests that the growth and success of U.S. agricultural policies was a result of complementarity between private sector entrepreneurship and public sector investment in research and infrastructure and the provision of private property rights. But this period resulted in unintended consequences, including excess supply as well as environmental externalities. The combination of an expanding agricultural land-base and increased productivity resulted in large volumes of cheap food that resulted in low farm incomes. Production on marginal land and excessive use of chemicals resulted in the deterioration of land resources and water quality. Addressing these problems were some of the major challenges of agricultural policies in the twentieth century. The first paper published in the American Economic Review was by a female agricultural economist, K. Coman (1911), which analyzed the economic impacts of water rights systems that were the result of government development and reclamation policies in the early period of U.S. agriculture. The field of agricultural policy, which investigates the “macro” of agricultural economics, has evolved to address economic challenges in managing agricultural and resource sectors in developed and developing countries, and to address issues of trade in development. In parallel to the policy analysis, there has been much emphasis on solving economics and management at the farm- and agribusiness-level.Most classical theorists lived in a world where agriculture was the dominant industry, and therefore introduced theory based on a competitive equilibrium that characterized agriculture. In a way, classical economics is actually agricultural economics. The discipline of agricultural economics started from the merger of two fields—farm management and farm economics (Runge 2006). From the beginning, agricultural economics emphasized a few micro elements: guiding farmers on land use allocation, production decisions, and marketing. On a macro-level, this field attempted to understand the peculiar behavior of the farm sector, in particular to make sense of the farm crises and poverty, etc. From its onset, agricultural economics was empirical and data-oriented, and some of the early applications of statistical techniques in economics were on agricultural problems. As in the example of Keynes, where real world observations led to real applied theories, one of the features of agricultural economics is that, similar to macroeconomics, observations and attempts to understand real-life patterns have resulted in new theoretical and conceptual developments that really change economics as a whole. Thus, while it may seem that in economics there is a division of labor between general economic theorists who develop basic principles and tools and applied economists who use them, in reality, the relationship is more complex. There is the mainstream of economic theory that has basic rules and principles, and applied fields that integrate economics with specific areas of the realworld. Applied fields may combine principles of economics with principles of other disciplines, but these sub-fields are major contributors to mainstream economic theory and practice. Agricultural economics has a very successful record of changing the way economists think and work. Agricultural economists were among the first to pursue and analyze microdata and interact with economics agents as they developed their analysis. To some extent, agricultural economists have emphasized big data even before big data was “cool.” The work of Cochrane (1979) provides a perspective on agricultural policy in the United States and in general. Cochrane views the history of U.S. agriculture as a process of economic development with a few distinct stages. First, the early period consisting of the seventeenth to early eighteenth century is characterized by the search for appropriate technologies. There followed a period of expansion and increase in land base between 1750–1890. Cochrane suggests that, during this period, major policies that affected agriculture were those of homesteading that provided farmers with an incentive to settle with private property rights, as well as public policies that built infrastructure like the railroads, which allowed for major settlements. This was followed by a period of intensification from 1890 to the present. Again, government support of research and investment in infrastructure, for example water projects, were the key to the agricultural development of this period. Cochrane’s work suggests that the growth and success of U.S. agricultural policies was a result of complementarity between private sector entrepreneurship and public sector investment in research and infrastructure and the provision of private property rights. But this period resulted in unintended consequences, including excess supply as well as environmental externalities. The combination of an expanding agricultural land-base and increased productivity resulted in large volumes of cheap food that resulted in low farm incomes. Production on marginal land and excessive use of chemicals resulted in the deterioration of land resources and water quality. Addressing these problems were some of the major challenges of agricultural policies in the twentieth century. The first paper published in the American Economic Review was by a female agricultural economist, K. Coman (1911), which analyzed the economic impacts of water rights systems that were the result of government development and reclamation policies in the early period of U.S. agriculture. The field of agricultural policy, which investigates the “macro” of agricultural economics, has evolved to address economic challenges in managing agricultural and resource sectors in developed and developing countries, and to address issues of trade in development. In parallel to the policy analysis, there has been much emphasis on solving economics and management at the farm- and agribusiness-level.

大多数古典理论家生活在农业作为主导产业的世界中,因此他们引入了以农业为特征、以竞争均衡为基础的理论。在某种程度上,古典经济学实际上就是农业经济学。农业经济学的学科始于两个领域的合并:农场管理和农场经济学(Runge,2006)。从一开始,农业经济学就强调一些微观要素:指导农民进行土地用途分配、生产决策和市场营销
在宏观层面上,农业经济学试图理解农业部门的特殊行为,特别是了解农业危机和贫困等问题。从一开始,农业经济学就以实证和数据为导向,而统计技术在经济学中的一些早期应用就是关于农业问题。就像凯恩斯的例子一样,对现实世界的观察导致了实际的应用理论,农业经济学的特征之一是,其类似于宏观经济学,对现实生活模式的观察和理解导致了新的理论和概念的发展,这真正改变了整个经济学的发展。因此,尽管在经济学中,一般经济学理论家和应用经济学家的分工趋于分化(前者对基本原理和工具进行发展,而后者使用基本原理和工具),但实际上,这当中的关系更为复杂。主流的经济理论具有基本规则和原则,其应用领域将经济学与现实世界的特定领域结合在一起。
应用领域可以将经济学原理与其他学科的原理结合起来,但是这些子领域是为主流经济学理论和实践服务的。农业经济学成功地记录了经济学家思维和工作方式的改变。农业经济学家是最早一批从事微观数据分析的学者,并在发展分析过程中与经济主体进行互动,在某种程度上,农业经济学家甚至在大数据流行之前就已经强调了大数据。
Cochrane(1979)的工作为美国和一般的农业政策提供了一个观察视角。Cochrane认为美国农业的发展历史体现了经济发展的过程,它有几个不同的阶段。
首先是从17世纪到18世纪初的早期阶段,这一阶段的特征是寻找合适的技术
随后在1750年至1890年之间,土地基础面积出现了扩张和增长。Cochrane建议,在此期间,影响农业的政策主要是能够激励农民解决私有财产权问题的定居政策以及建立铁路等基础设施的公共政策,这些基础设施可以成为主要的定居点。
随后是从1890年到现在的一段强化时期。同样,政府对研究的支持和对基础设施(例如水利项目)的投资支持是这一时期农业发展的关键。Cochrane的研究表明,美国农业政策的成功是私营部门企业家精神公共部门在基建方面的投资以及提供私有财产权之间互补性的结果。但这一时期的发展也导致了意想不到的后果,包括供应过剩以及环境外部性问题。农业土地基础的扩大和生产力的提高共同导致大量廉价食品的出现,从而降低了农业收入边际土地上的过度生产和化学药品的过度使用导致了土地资源和水质的恶化。
解决这些问题是农业政策在20世纪面临的主要挑战。一位女性农业经济学家K.Coman(1911)在《美国经济评论》上发表了第一篇论文该论文分析了水权制度的经济影响,这是美国农业早期政府发展和开垦政策的结果。农业政策研究领域的角色,已经从研究农业经济学“宏观”部分,发展为应对发达国家和发展中国家农业和资源部门所面临的经济挑战,以及在发展过程中面临的贸易问题。在进行政策分析的同时,学者们一直非常重视农场和农业综合企业经济管理问题的解决方案。






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