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第1行： − 此词条暂由小竹凉翻译，翻译字数共2432，AvecSally审校，带来阅读不便，请见谅。+ + + + − {{Other uses|Product space}}+ − {{Original research|date=April 2019}} − [[File:TheProductSpace.png|thumb|right|200px|upright=3|'''The Product Space''' is a network representation of the relatedness or proximity between products traded in the global market. The network exhibits heterogeneity and a core-periphery structure: the core of the network consists of metal products, machinery, and chemicals, whereas the periphery is formed by fishing, tropical, and cereal agriculture. The clusters of products in this space bear a striking resemblance to Leamer's product classification system.'''产品空间'''是在全球市场上交易的产品之间关系或接近程度的网络表示。该网络表现出异质性和核心-外围结构: 网络的核心由金属产品、机械和化学品组成，而外围则由渔业、热带和谷物农业组成。这个领域的产品集群与利默的产品分类方案有着惊人的相似之处。]]+ − The Product Space is a network representation of the relatedness or proximity between products traded in the global market. The network exhibits heterogeneity and a core-periphery structure: the core of the network consists of metal products, machinery, and chemicals, whereas the periphery is formed by fishing, tropical, and cereal agriculture. The clusters of products in this space bear a striking resemblance to Leamer's product classification system. − 产品空间是指在全球市场上交易的产品之间关系或接近程度所组成的网络。该网络表现出异质性和一个有核心的外围结构: 网络的核心是由金属产品、机械产品和化学品组成，而外围则由渔业、热带和谷物农业组成。产品所组成的集群与利默的产品分类方案有着惊人的相似之处。+ + + − '''The Product Space''' is a network that formalizes the idea of relatedness between products traded in the global economy. The network first appeared in the July 2007 issue of [[Science (journal)|''Science'']] in the article "The Product Space Conditions the Development of Nations,"<ref>C.A. Hidalgo, B. Klinger, A.-L. Barabási, R. Hausmann, ''Science'' '''317''' (2007).</ref> written by [[Cesar A. Hidalgo]], Bailey Klinger, [[Ricardo Hausmann]], and [[Albert-László Barabási]]. The Product Space network has considerable implications for [[economic policy]], as its structure helps elucidate why some countries undergo steady [[economic growth]] while others become [[economic stagnation|stagnant]] and are unable to develop. The concept has been further developed and extended by [[The Observatory of Economic Complexity]], through visualizations such as the Product Exports Treemaps and new indexes such as the [[economic complexity index|Economic Complexity Index (ECI)]], which have been condensed into the Atlas of Economic Complexity.<ref>{{cite web|title=OEC - Books|url=http://atlas.media.mit.edu/publications/|publisher=atlas.media.mit.edu|accessdate=16 August 2016}}</ref> From the new analytic tools developed, Hausmann, Hidalgo and their team have been able to elaborate [[Economic forecasting|predictions of future economic growth]]. − The Product Space is a network that formalizes the idea of relatedness between products traded in the global economy. The network first appeared in the July 2007 issue of Science in the article "The Product Space Conditions the Development of Nations," written by Cesar A. Hidalgo, Bailey Klinger, Ricardo Hausmann, and Albert-László Barabási. The Product Space network has considerable implications for economic policy, as its structure helps elucidate why some countries undergo steady economic growth while others become stagnant and are unable to develop. The concept has been further developed and extended by The Observatory of Economic Complexity, through visualizations such as the Product Exports Treemaps and new indexes such as the Economic Complexity Index (ECI), which have been condensed into the Atlas of Economic Complexity. From the new analytic tools developed, Hausmann, Hidalgo and their team have been able to elaborate predictions of future economic growth. − '''产品空间'''是一个将全球经济中交易的产品之间相关性正式化的概念网络。该网络最早出现在2007年7月的'''<font color="#ff8000">《科学》</font>'''杂志上， '''<font color="#ff8000">塞萨尔·A·希达尔戈 Cesar a. Hidalgo</font>'''，Bailey Klinger，'''<font color="#ff8000">里卡多·豪斯曼 Ricardo Hausmann</font>''' 和 '''<font color="#ff8000">阿尔伯特·拉兹洛·巴拉帕西 albert-lászló Barabási</font>''' 撰写的文章《产品空间条件下国家的发展》中。产品空间网络对'''<font color="#ff8000">经济政策 economic policy</font>'''有相当大的影响，因为其结构有助于说明为什么一些国家具有稳定的'''<font color="#ff8000">经济增长 economic growth</font>'''，而另一些国家'''<font color="#ff8000">停滞不前 stagnant</font>'''，无法发展。这一理念进一步发展和扩展成了'''<font color="#ff8000">经济复杂性观察站 The Observatory of Economic Complexity</font>''' ，通过产品出口树状图等可视化数据和新的指数如'''<font color="#ff8000">经济复杂度指数 Economic Complexity Index (ECI)</font>'''等，后发展成经济复杂度地图集。基于新开发的分析工具，Hausmann，Hidalgo 和他们的团队已经能够详细'''<font color="#ff8000">预测未来的经济增长 predictions of future economic growth</font>'''。+ − − − − ==Background== − 背景 − − Conventional [[economic development]] theory has been unable to decipher the role of various product types in a country's economic performance.<ref>A. Hirschman, ''The Strategy of Economic Development'' (Yale University Press, New Haven, CT, 1958).</ref><ref>P. Rosenstein-Rodan, ''Econ. J'' '''53''', 202 (1943).</ref><ref>K. Matsuyama, ''J. Econ. Theory'' '''58''', 317 (1992).</ref> Traditional ideals suggest that [[industrialization]] causes a “spillover” effect to new products, fostering subsequent growth. This idea, however, had not been incorporated in any formal [[economic model]]s. The two prevailing approaches explaining a country's economy focus on either the country's relative proportion of capital and other productive factors<ref>E. Heckscher, B. Ohlin, ''Heckscher-Ohlin Trade Theory,'' H. Flam, M. Flanders, Eds. (MIT Press, Cambridge, MA, 1991).</ref> or on differences in technological capabilities and what underlies them.<ref>P. Romer, ''J Polit. Econ.'' '''94''', 5 (1986).</ref> These theories fail to capture inherent commonalities among products, which undoubtedly contribute to a country's pattern of growth. The Product Space presents a novel approach to this problem, formalizing the intuitive idea that a country which [[export]]s bananas is more likely to next export mangoes than it is to export jet engines, for example. − − Conventional economic development theory has been unable to decipher the role of various product types in a country's economic performance. Traditional ideals suggest that industrialization causes a “spillover” effect to new products, fostering subsequent growth. This idea, however, had not been incorporated in any formal economic models. The two prevailing approaches explaining a country's economy focus on either the country's relative proportion of capital and other productive factors or on differences in technological capabilities and what underlies them. These theories fail to capture inherent commonalities among products, which undoubtedly contribute to a country's pattern of growth. The Product Space presents a novel approach to this problem, formalizing the intuitive idea that a country which exports bananas is more likely to next export mangoes than it is to export jet engines, for example. − − 传统的'''<font color="#ff8000">经济发展 economic development</font>'''理论无法解释各种产品类型在一个国家中经济的表现。传统观点认为，'''<font color="#ff8000">工业化 industrialization</font>'''会对新产品产生“溢出”效应，从而促进后续增长。然而，这个想法并没有被纳入任何正式的'''<font color="#ff8000">经济模型 economic model</font>'''。解释一个国家的经济，要么侧重于该国资本和其他生产要素的相对比例，要么侧重于技术能力的差异及其基础。这些理论都没有抓住产品之间固有的共性，而这些产品之间的联系往往都会影响一个国家经济的增长。产品空间的建立提出了一个解决这个问题的新方法，很直观地想，例如，一个经常出口香蕉的国家很可能会出口芒果，而不是喷气式发动机。 − − − − ===The forest analogy=== − 森林类比 − − The idea of the Product Space can be conceptualized in the following manner: consider a product to be a tree, and the collection of all products to be a forest. A country consists of a set of firms—in this analogy, monkeys—which exploit products, or here, live in the trees. For the monkeys, the process of growth means moving from a poorer part of the forest, where the trees bear little fruit, to a better part of the forest. To do this, the monkeys must jump distances; that is, redeploy (physical, human, and institutional) capital to make new products. Traditional economic theory disregards the structure of the forest, assuming that there is always a tree within reach. However, if the forest is not homogeneous, there will be areas of dense tree growth in which the monkeys must exert little effort to reach new trees, and sparse regions in which jumping to a new tree is very difficult. In fact, if some areas are very deserted, monkeys may be unable to move through the forest at all. Therefore, the structure of the forest and a monkey's location within it dictates the monkey's capacity for growth; in terms of economy, the topology of this “product space” impacts a country's ability to begin producing new goods. − − The idea of the Product Space can be conceptualized in the following manner: consider a product to be a tree, and the collection of all products to be a forest. A country consists of a set of firms—in this analogy, monkeys—which exploit products, or here, live in the trees. For the monkeys, the process of growth means moving from a poorer part of the forest, where the trees bear little fruit, to a better part of the forest. To do this, the monkeys must jump distances; that is, redeploy (physical, human, and institutional) capital to make new products. Traditional economic theory disregards the structure of the forest, assuming that there is always a tree within reach. However, if the forest is not homogeneous, there will be areas of dense tree growth in which the monkeys must exert little effort to reach new trees, and sparse regions in which jumping to a new tree is very difficult. In fact, if some areas are very deserted, monkeys may be unable to move through the forest at all. Therefore, the structure of the forest and a monkey's location within it dictates the monkey's capacity for growth; in terms of economy, the topology of this “product space” impacts a country's ability to begin producing new goods. − − ==Building the Product Space== − 构建产品空间 − − There exists a number of factors that can describe the relatedness between a pair of products: the amount of [[capital (economics)|capital]] required for production, technological sophistication, or inputs and outputs in a product's value chain, for examples. Choosing to study one of these notions assume the others are relatively unimportant; instead, the Product Space considers an outcome-based measure built on the idea that if a pair of products are related because they require similar institutions, capital, infrastructure, technology, etc., they are likely to be produced in tandem. Dissimilar goods, on the other hand, are less likely to be co-produced. This [[a posteriori]] test of similarity is called “proximity.” − − There exists a number of factors that can describe the relatedness between a pair of products: the amount of capital required for production, technological sophistication, or inputs and outputs in a product's value chain, for examples. Choosing to study one of these notions assume the others are relatively unimportant; instead, the Product Space considers an outcome-based measure built on the idea that if a pair of products are related because they require similar institutions, capital, infrastructure, technology, etc., they are likely to be produced in tandem. Dissimilar goods, on the other hand, are less likely to be co-produced. This a posteriori test of similarity is called “proximity.” − − 有许多要素可以描述一对产品之间的关系: 例如，生产所需的'''<font color="#ff8000">资本 capital</font>'''数量，技术复杂程度，或者产品价值链中的投入和产出。选择研究其中一个概念，假定其他概念相对不重要; 相对的，产品空间考虑一种基于结果的衡量方法，这种方法的基础是，如果一对产品因为需要相似的机构、资金、基础设施、技术等而相互关联，那么它们很可能是一起生产的。另一方面，不同种类的产品则不太可能共同生产。这种相似性的后验测试被称为“邻近度”。 − − + − 邻近度的概念 − The Product Space quantifies the relatedness of products with a measure called [[Proxemics|proximity]]. In the above tree analogy, proximity would imply the closeness between a pair of trees in the forest. Proximity formalizes the intuitive idea that a country's ability to produce a product depends on its ability to produce other products: a country which exports apples most probably has conditions suitable for exporting pears: the country would already have the soil, climate, packing equipment, refrigerated trucks, agronomists, phytosanitary laws, and working trade agreements. All of these could be easily redeployed to the pear business. These inputs would be futile, however, if the country instead chose to start producing a dissimilar product such as copper wire or home appliances. While quantifying such overlap between the set of markets associated with each product would be difficult, the measure of proximity uses an outcome-based method founded on the idea that similar products (apples and pears) are more likely to be produced in tandem than dissimilar products (apples and copper wire).+ − The Product Space quantifies the relatedness of products with a measure called proximity. In the above tree analogy, proximity would imply the closeness between a pair of trees in the forest. Proximity formalizes the intuitive idea that a country's ability to produce a product depends on its ability to produce other products: a country which exports apples most probably has conditions suitable for exporting pears: the country would already have the soil, climate, packing equipment, refrigerated trucks, agronomists, phytosanitary laws, and working trade agreements. All of these could be easily redeployed to the pear business. These inputs would be futile, however, if the country instead chose to start producing a dissimilar product such as copper wire or home appliances. While quantifying such overlap between the set of markets associated with each product would be difficult, the measure of proximity uses an outcome-based method founded on the idea that similar products (apples and pears) are more likely to be produced in tandem than dissimilar products (apples and copper wire). − 产品空间用一种称为'''<font color="#ff8000">邻近度 proximity</font>'''的度量方法来量化产品之间的相关性。在上面的树的类比中，邻近度意味着森林中两棵树之间的接近程度。一个国家生产一种产品的能力取决于它生产其他产品的能力，临近度直觉得认为——一个出口苹果的国家最有可能拥有适合出口梨的条件：这个国家已经有了合适的土壤、气候、包装设备、冷藏卡车、农艺学家、植物卫生法和工作贸易协定。所有这些都可以很容易地重新部署到运营梨的业务上。然而，如果该国转而选择生产铜线或家用电器等不同产品，这些投入将是徒劳的。虽然量化与每种产品相关的一系列市场之间的重叠是很困难的，但衡量邻近程度使用的是一种基于成果的方法，其基本思想是，类似产品(苹果和梨)比不同产品(苹果和铜线)更有可能同时生产。 + + − The RCA is a rigorous standard by which to consider competitive exportation in the global market. In order to exclude marginal exports, a country is said to export a product when they exhibit a Revealed Comparative Advantage (RCA) in it. Using the Balassa<ref>B. Balassa, ''The Review of Economics and Statistics'' '''68''', 315 (1986).</ref> definition of RCA, ''x(c,i)'' equals the value of exports in country ''c ''in the ''i''th good.+ − The RCA is a rigorous standard by which to consider competitive exportation in the global market. In order to exclude marginal exports, a country is said to export a product when they exhibit a Revealed Comparative Advantage (RCA) in it. Using the Balassa definition of RCA, x(c,i) equals the value of exports in country c in the ith good. − − RCA 是一个严格的标准，用以考虑在全球市场的竞争性出口。为了将边际出口排除在外，一个国家如果出现显示比较优势，就称之为出口。使用巴拉萨对RCA的定义，x(c,i)等于c国在第i货物中的出口价值。 第75行：
第42行： + − If the RCA value exceeds one, the share of exports of a country in a given product is larger than the share of that product in all [[global trade]]. Under this measure, when ''RCA(c,i)'' is greater than or equal to 1, country c is said to export product ''i''. When ''RCA(c,i)'' is less than 1, country ''c'' is not an effective exporter of ''i''. With this convention, the proximity between a pair of goods ''i'' and ''j'' is defined in the following way:+ − If the RCA value exceeds one, the share of exports of a country in a given product is larger than the share of that product in all global trade. Under this measure, when RCA(c,i) is greater than or equal to 1, country c is said to export product i. When RCA(c,i) is less than 1, country c is not an effective exporter of i. With this convention, the proximity between a pair of goods i and j is defined in the following way:+ − 如果RCA评估值超过1，一个国家在某一产品中的出口份额就大于该产品在'''<font color="#ff8000">全球贸易 global trade</font>'''中的份额。根据这一措施，当 RCA(c，i)大于或等于1时，国家 c 被称为出口产品 i。当 RCA(c，i)小于1时，c 国不是有效的出口国。根据这个惯例，一对货物 i 和 j 之间的接近度定义如下: − <math>\phi_{i,j} = \min\{\Pr(\text{RCA} x_i \geq 1 \mid \text{RCA} x_j \geq 1), \Pr(\text{RCA} x_j \geq 1 \mid \text{RCA} x_i \geq 1)\}</math>+ + + − <math>\phi_{i,j} = \min\{\Pr(\text{RCA} x_i \geq 1 \mid \text{RCA} x_j \geq 1), \Pr(\text{RCA} x_j \geq 1 \mid \text{RCA} x_i \geq 1)\}</math> − − − − <math>\Pr(\text{RCA}_i \geq 1 \mid \text{RCA}_j \geq 1)</math> is the conditional probability of exporting good ''i'' given that you export good ''j''. By considering the minimum of both conditional probabilities, we eliminate the problem that arises when a country is the sole exporter of a particular good: the conditional probability of exporting any other good given that one would be equal to one for all other goods exported by that country. − − <math>\Pr(\text{RCA}_i \geq 1 \mid \text{RCA}_j \geq 1)</math> is the conditional probability of exporting good i given that you export good j. By considering the minimum of both conditional probabilities, we eliminate the problem that arises when a country is the sole exporter of a particular good: the conditional probability of exporting any other good given that one would be equal to one for all other goods exported by that country. − − 当给定出口商品j时，<math>\Pr(\text{RCA}_i \geq 1 \mid \text{RCA}_j \geq 1)</math>是出口商品i的条件概率。通过考虑这两个条件概率的最小值，我们消除了当一个国家是某种商品的唯一出口国时出现的问题: 出口任何其他商品的条件概率对于该国出口的所有其他货物都为1 − − ===Source data=== − 数据来源 − − The Product Space uses international trade data from Feenstra, Lipset, Deng, Ma, and Mo's ''World Trade Flows: 1962-2000'' dataset,<ref>R.R. Feenstra, H.D. Lipsey, A. Ma, H. Mo, ''HBER Work. Pap 11040'' (2005).</ref> cleaned and made compatible through a [[National Bureau of Economic Research]] (NBER) project. The dataset contains exports and imports both by country of origin and by destination. Products are disaggregated according to the Standardized International Trade Code at the four-digit level (SITC-4). Focusing on data from 1998-2000 yields 775 product classes and provides for each country the value exported to all other countries for each class. From this, a 775-by-775 matrix of proximities between every pair of products is created.[[File:ProductSpaceMatrices.png|thumb|right|upright=2|'''A.''' The Product Space matrix sorted by SITC4 classification. '''B.''' The Product Space hierarchically sorted reveals modularity and that 775 products are actively traded. A.按 SITC4分类排序的乘积空间矩阵。B.产品空间按层次分类揭示了模块性，775种产品被积极交易。]] − − The Product Space uses international trade data from Feenstra, Lipset, Deng, Ma, and Mo's World Trade Flows: 1962-2000 dataset, cleaned and made compatible through a National Bureau of Economic Research (NBER) project. The dataset contains exports and imports both by country of origin and by destination. Products are disaggregated according to the Standardized International Trade Code at the four-digit level (SITC-4). Focusing on data from 1998-2000 yields 775 product classes and provides for each country the value exported to all other countries for each class. From this, a 775-by-775 matrix of proximities between every pair of products is created.A. The Product Space matrix sorted by SITC4 classification. B. The Product Space hierarchically sorted reveals modularity and that 775 products are actively traded. − − 产品空间使用来自 Feenstra、 Lipset、 Deng、 Ma 和 Mo 的世界贸易流动: 1962-2000数据集的国际贸易数据，清洗并且兼容'''<font color="#ff8000">国家经济研究局 National Bureau of Economic Research</font>'''(NBER)的项目。数据集包含了起源国和目的地的进口数据和出口数据。产品按照《标准化国际贸易守则》的四位数分类(SITC-4)。以1998-2000年的数据为重点，得出了775个产品类别，并为每个国家提供了每个类别向所有其他国家出口的价值。由此，得到了每对产品之间的775 * 775的相似度矩阵。A.按 SITC4分类排序的乘积空间矩阵。B.产品空间按层次分类揭示了模块性，775种产品被积极交易。 − − ===Matrix representation=== − 矩阵表示 − − Each row and column of this matrix represents a particular good, and the off-diagonal entries in this matrix reflect the proximity between a pair of products. A visual representation of the proximity matrix reveals high modularity: some goods are highly connected and others are disconnected. Furthermore, the matrix is sparse. Five percent of its elements equal zero, 32% are less than 0.1, and 65% of the entries are below 0.2. Because of the sparseness, a network visualization is an appropriate way to represent this dataset. − − Each row and column of this matrix represents a particular good, and the off-diagonal entries in this matrix reflect the proximity between a pair of products. A visual representation of the proximity matrix reveals high modularity: some goods are highly connected and others are disconnected. Furthermore, the matrix is sparse. Five percent of its elements equal zero, 32% are less than 0.1, and 65% of the entries are below 0.2. Because of the sparseness, a network visualization is an appropriate way to represent this dataset. + − ==The Product Space network== − 产品空间网络 − − A network representation of the proximity matrix helps to develop intuition about its structure by establishing a visualization in which traditionally subtle trends become easily identifiable. − − A network representation of the proximity matrix helps to develop intuition about its structure by establishing a visualization in which traditionally subtle trends become easily identifiable. + − + − + − 最大生成树 − − The initial step in building a network representation of product relatedness (proximities) involved first generating a network framework. [[File:ProductSpaceMST.png|thumb|left|upright=2|The maximum spanning tree represents the first step in visualizing the Product Space network.最大生成树表示可视化产品空间网络的第一步。]]Here, the maximum spanning tree (MST) algorithm built a network of the 775 product nodes and the 774 links that would maximize the network's total proximity value. − − The initial step in building a network representation of product relatedness (proximities) involved first generating a network framework. The maximum spanning tree represents the first step in visualizing the Product Space network.Here, the maximum spanning tree (MST) algorithm built a network of the 775 product nodes and the 774 links that would maximize the network's total proximity value. − − ===Network layout=== − 网络布局 − − [[File:ProductSpaceFDSL.png|thumb|left|upright=2|The force-directed spring layout above includes the links from the MST and any edge with a proximity greater than 0.55. To achieve the final Product Space design, the dense clusters were manually untangled and attributes were added in terms of node/link size and color.上面的力定向弹簧布局包括来自MST的连接和任何邻近度大于0.55的边缘。为了实现最终的产品空间设计，手动拆解相对稠密的集群，并根据节点/链接的大小和颜色为其添加属性。]] The basic "skeleton" of the network is developed by imposing on it the strongest links which were not necessarily in the MST by employing a threshold on the proximity values; they chose to include all links of proximity greater than or equal to 0.55. This produced a network of 775 nodes and 1525 links. This threshold was chosen such that the network exhibited an average degree equal to 4, a common convention for effective [[network visualization]]s. With the framework complete, a force-directed spring algorithm was used to achieve a more ideal network layout. This algorithm considers each node to be a charged particle and the links are assumed to be springs; the layout is the resulting equilibrium, or relaxed, position of the system. Manual rearranging untangled dense clusters to achieve maximum aesthetic efficacy. − − The force-directed spring layout above includes the links from the MST and any edge with a proximity greater than 0.55. To achieve the final Product Space design, the dense clusters were manually untangled and attributes were added in terms of node/link size and color. The basic "skeleton" of the network is developed by imposing on it the strongest links which were not necessarily in the MST by employing a threshold on the proximity values; they chose to include all links of proximity greater than or equal to 0.55. This produced a network of 775 nodes and 1525 links. This threshold was chosen such that the network exhibited an average degree equal to 4, a common convention for effective network visualizations. With the framework complete, a force-directed spring algorithm was used to achieve a more ideal network layout. This algorithm considers each node to be a charged particle and the links are assumed to be springs; the layout is the resulting equilibrium, or relaxed, position of the system. Manual rearranging untangled dense clusters to achieve maximum aesthetic efficacy. + + − ===Node and link attributes=== − 节点和链接属性 − − A system of colors and sizing allows for simultaneous assessment of the network structure with other covariates. The nodes of the Product Space are colored in terms of product classifications performed by Leamer<ref>E. Leamer, ''Sources of Comparative Advantage: Theory and Evidence'' (MIT Press, Cambridge, MA, 1984).</ref> and the size of the nodes reflects the proportion of money moved by that particular industry in world trade. The color of the links reflects the strength of the proximity measurement between two products: dark red and blue indicate high proximity whereas yellow and light blue imply weaker relatedness. − A system of colors and sizing allows for simultaneous assessment of the network structure with other covariates. The nodes of the Product Space are colored in terms of product classifications performed by Leamer and the size of the nodes reflects the proportion of money moved by that particular industry in world trade. The color of the links reflects the strength of the proximity measurement between two products: dark red and blue indicate high proximity whereas yellow and light blue imply weaker relatedness.+ + − 颜色和大小与其他协变量同时影响着网络的结构。产品空间的节点按照 Leamer 执行的产品分类进行着色，节点的大小反映了该特定行业在世界贸易中的货币流动比例。链接的颜色反映了两个产品间接近度测量的强度: 暗红色和蓝色表示高邻近度，而黄色和浅蓝色表示较弱的关联度。 + − There are also other types of classifications applied to the Product Space methodology,<ref>J. Romero, E. Freitas, G. Britto, C. Coelho (2015). The great divide: the paths of industrial competitiveness in Brazil and South Korea (No. 519). Cedeplar, Universidade Federal de Minas Gerais.</ref> as the one proposed by Lall<ref>S. Lall, "The Technological structure and performance of developing country manufactured exports, 1985‐98." Oxford development studies 28.3 (2000): 337-369.</ref> which classificates the products by technological intensity.+ − − There are also other types of classifications applied to the Product Space methodology, as the one proposed by Lall which classificates the products by technological intensity. − − 还有其他类型的分类适用于产品空间方法论，如拉尔提出的按技术强度对产品进行分类的方法。 − − − 乘积空间的性质 − − − In the final Product Space visualization, it is clear that the network exhibits heterogeneity and a core-periphery structure: the core of the network consists of metal products, machinery, and chemicals, whereas the periphery is formed by fishing, tropical, and cereal agriculture. On the left side of the network, there is a strong outlying cluster formed by garments and another belonging to textiles. At the bottom of the network, there exists a large electronics cluster, and at its right mining, forest, and paper products. The clusters of products in this space bear a striking resemblance to Leamer's product classification system, which employed an entirely different methodology. This system groups products by the relative amount of capital, labor, land, or skills needed to export each product. − − In the final Product Space visualization, it is clear that the network exhibits heterogeneity and a core-periphery structure: the core of the network consists of metal products, machinery, and chemicals, whereas the periphery is formed by fishing, tropical, and cereal agriculture. On the left side of the network, there is a strong outlying cluster formed by garments and another belonging to textiles. At the bottom of the network, there exists a large electronics cluster, and at its right mining, forest, and paper products. The clusters of products in this space bear a striking resemblance to Leamer's product classification system, which employed an entirely different methodology. This system groups products by the relative amount of capital, labor, land, or skills needed to export each product. − − − − − The Product Space also reveals a more explicit structure within product classes. Machinery, for example, appears to be naturally split into two clusters: heavy machinery in one, and vehicles and electronics in the other. Although the machinery cluster is connected to some capital-intensive metal products, it is not interwoven with similarly classified products such as textiles. In this way, the Product Space presents a new perspective on product classification. − − The Product Space also reveals a more explicit structure within product classes. Machinery, for example, appears to be naturally split into two clusters: heavy machinery in one, and vehicles and electronics in the other. Although the machinery cluster is connected to some capital-intensive metal products, it is not interwoven with similarly classified products such as textiles. In this way, the Product Space presents a new perspective on product classification. − ==Dynamics of the Product Space== − 产品空间的动力学 − The Product Space network can be used to study the evolution of a country's productive structure. A country's orientation within the space can be determined by observing where its products with RCA>1 are located. The images at right reveal patterns of specialization: the black squares indicate products exported by each region with RCA>1. [[File:ProductSpaceLocalization.png|frame|right|Localization of the productive structure for different regions of the world. The products for which the region has an RCA > 1 are denoted by black squares.世界不同地区生产结构的本地化。区域 RCA > 1的乘积用黑色方块表示。]] It can be seen that [[industrialized countries]] export products at the core, such as machinery, chemicals, and metal products. They also, however, occupy products at the periphery, like textiles, forest products, and animal agriculture. East Asian countries exhibit advantage in textiles, garments, and electronics. Latin America and the Caribbean have specialized in industries further towards the periphery, such as mining, agriculture, and garments. Sub-Saharan Africa demonstrates advantage in few product classes, all of which occupy the product space periphery. From these analyses, it is clear that each region displays a recognizable pattern of specialization easily discernible in the product space.+ + + − The Product Space network can be used to study the evolution of a country's productive structure. A country's orientation within the space can be determined by observing where its products with RCA>1 are located. The images at right reveal patterns of specialization: the black squares indicate products exported by each region with RCA>1. Localization of the productive structure for different regions of the world. The products for which the region has an RCA > 1 are denoted by black squares. It can be seen that industrialized countries export products at the core, such as machinery, chemicals, and metal products. They also, however, occupy products at the periphery, like textiles, forest products, and animal agriculture. East Asian countries exhibit advantage in textiles, garments, and electronics. Latin America and the Caribbean have specialized in industries further towards the periphery, such as mining, agriculture, and garments. Sub-Saharan Africa demonstrates advantage in few product classes, all of which occupy the product space periphery. From these analyses, it is clear that each region displays a recognizable pattern of specialization easily discernible in the product space. − 产品空间网络可以用来研究一个国家生产结构的演变。一个国家在空间内的方向可以通过观察其 RCA > 1的产品所处的位置来确定。右边的图像显示了专业化模式: 黑色方块表示每个地区出口的产品 RCA > 1。世界不同地区生产结构的本地化。区域 RCA > 1的乘积用黑色方块表示。可以看出，'''<font color="#ff8000">工业化国家 industrialized countries</font>'''出口核心产品，如机械，化学品和金属产品。同时，它们也占据了周边产品，如纺织品、森林产品和畜牧业。东亚国家在纺织品、服装和电子产品方面表现出优势。拉丁美洲和加勒比地区专门从事边缘产业，如采矿、农业和服装业。撒哈拉以南非洲在少数几个产品类别中展示了优势，而这些产品类别都占据了产品空间的边缘。从这些分析中可以清楚地看出，每个区域都显示出一个在产品空间中容易识别的专业化模式。+ − − − − − 经验推广 − − The same methods can be used to observe a country's development over time. By using the same conventions of visualization, it can be seen that countries move to new products by traversing the Product Space. Two measures quantify this movement through the Product Space from unoccupied products (products in which a given country has no advantage) to occupied products (products in which that country has an RCA>1). Such products are termed “transition products.” − − The same methods can be used to observe a country's development over time. By using the same conventions of visualization, it can be seen that countries move to new products by traversing the Product Space. Two measures quantify this movement through the Product Space from unoccupied products (products in which a given country has no advantage) to occupied products (products in which that country has an RCA>1). Such products are termed “transition products.” − − − The "density" is defined as a new product's proximity to a given country's current set of products: − − The "density" is defined as a new product's proximity to a given country's current set of products: − − <math>\omega_j^k = \frac{ {\displaystyle \sum_i x_i \phi_{ij} } }{ {\displaystyle\sum_i \phi_{ij} } }</math> + − A high density reflects that a country has many developed products surrounding the unoccupied product j. It was found that products which were not produced in 1990 but were produced by 1995 (transition products) exhibited higher density, implying that this value predicts a transition to an unoccupied product. The “discovery factor” measurement corroborates this idea: − − A high density reflects that a country has many developed products surrounding the unoccupied product j. It was found that products which were not produced in 1990 but were produced by 1995 (transition products) exhibited higher density, implying that this value predicts a transition to an unoccupied product. The “discovery factor” measurement corroborates this idea: − − 一个较高的密度反映出一个国家一个国家围绕未使用的产品j有许多已开发的产品。研究发现，1990年没有生产但1995年生产的产品(过渡产品)密度较高，这意味着这一数值预示着向无人使用的产品过渡。“发现因素”测量证实了这一观点: − − <math>H_j = \frac{ {\displaystyle \sum_{k=1}^T \omega_j^k / T} }{ {\displaystyle \sum_{k=T+1}^N \omega_j^k / (N - T)} }</math> − − − <math>H_j</math> reflects the average density of all countries in which the ''j''th product was a transition product and the average density of all countries in which the ''j''th product was not developed. For 79% of products, this ratio exceeds 1, indicating that density is likely to predict a transition to a new product. − − <math>H_j</math> reflects the average density of all countries in which the jth product was a transition product and the average density of all countries in which the jth product was not developed. For 79% of products, this ratio exceeds 1, indicating that density is likely to predict a transition to a new product. 第231行：
第111行： − + − 模拟推广 − − The impact of Product Space's structure can be evaluated through simulations in which a country repeatedly moves to new products with proximities above a given threshold. At a threshold of proximity equal to 0.55, countries are able to diffuse through the core of the Product Space but the speed at which they do so is determined by the set of initial products. By raising the threshold to 0.65, some countries, whose initial products occupy periphery industries, become trapped and cannot find any near-enough products. This implies that a country's orientation within the space can in fact dictate whether the country achieves economic growth. − − The impact of Product Space's structure can be evaluated through simulations in which a country repeatedly moves to new products with proximities above a given threshold. At a threshold of proximity equal to 0.55, countries are able to diffuse through the core of the Product Space but the speed at which they do so is determined by the set of initial products. By raising the threshold to 0.65, some countries, whose initial products occupy periphery industries, become trapped and cannot find any near-enough products. This implies that a country's orientation within the space can in fact dictate whether the country achieves economic growth. − − ==Future work== − 未来的工作 − Although the dynamics of a country's orientation within the network has been studied, there has been less focus on changes in the network topology itself. It is suggested that "changes in the product space represent an interesting avenue for future work."<ref>C.A. Hidalgo, B. Klinger, A.-L. Barabási, R. Hausmann, ''Science'' '''317''' 485 (2007).</ref> Additionally, it would be interesting to explore the mechanisms governing countries' economic growth, in terms of acquisition of new capital, labor, institutions, etc., and whether the co-export proximity of the Product Space is truly an accurate reflection of similarity among such inputs.+ + − Although the dynamics of a country's orientation within the network has been studied, there has been less focus on changes in the network topology itself. It is suggested that "changes in the product space represent an interesting avenue for future work." Additionally, it would be interesting to explore the mechanisms governing countries' economic growth, in terms of acquisition of new capital, labor, institutions, etc., and whether the co-export proximity of the Product Space is truly an accurate reflection of similarity among such inputs. − 虽然一个国家在网络中的动态定位已经被研究过，但是对于网络拓扑本身的变化却没有那么多的关注。有人建议，“产品空间的变化为未来的工作提供了一个有趣的途径。”此外，我们还应探讨各国经济增长的管理机制，如获得新的资本、劳动力、机构等，以及产品空间的共同出口是否真正反映了这些投入之间的相似性。+ + − == See also == − * [[Complexity economics]] 复杂度经济学+ + − * [[List of countries by economic complexity]] 按经济复杂度分列的国家名单 − ==References== − {{Reflist}}+ + + + + + + + − {{DEFAULTSORT:Product Space}}+ − [[Category:International trade theory]]+ − Category:International trade theory − 范畴: 国际贸易理论+ + − == 编者推荐 == − ===集智文章推荐=== − ====[https://swarma.org/?p=20326 Nature通讯：经济复杂性新算法，利用产品多样性衡量国家经济水平]====+ − “调和不同的审视经济复杂性的视角”一文，通过二分网络，提出了计算经济复杂性的新方法，该方法能反映出一国出口产品的多样性，同时具有了可解释性。+ − <noinclude> − <small>This page was moved from [[wikipedia:en:The Product Space]]. Its edit history can be viewed at [[产品空间/edithistory]]</small></noinclude>+ − +
无编辑摘要
{{#seo:
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|description=是在全球市场上交易的产品之间关系或接近程度的网络表示。
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[[File:TheProductSpace.png|thumb|right|200px|upright=3|'''产品空间'''是在全球市场上交易的产品之间关系或接近程度的网络表示。该网络表现出异质性和核心-外围结构: 网络的核心由金属产品、机械和化学品组成，而外围则由渔业、热带和谷物农业组成。这个领域的产品集群与利默的产品分类方案有着惊人的相似之处。]]
'''产品空间 Product Space'''是指在全球市场上交易的产品之间关系或接近程度所组成的网络。该网络表现出异质性和一个有核心的外围结构: 网络的核心是由金属产品、机械产品和化学品组成，而外围则由渔业、热带和谷物农业组成。产品所组成的集群与利默的产品分类方案有着惊人的相似之处。
产品空间是一个将全球经济中交易的产品之间相关性正式化的概念网络。该网络最早出现在2007年7月的《Science》杂志上，由Cesar a. Hidalgo，Bailey Klinger，Ricardo Hausmann和albert-lászló Barabási四人撰写的文章《产品空间条件下国家的发展 The Product Space Conditions the Development of Nations》中。<ref>C.A. Hidalgo, B. Klinger, A.-L. Barabási, R. Hausmann, ''Science'' '''317''' (2007).</ref>产品空间网络对经济政策有相当大的影响，因为其结构有助于说明为什么一些国家具有稳定的经济增长，而另一些国家停滞不前，无法发展。这一理念进一步发展和扩展成了经济复杂性观察站 The Observatory of Economic Complexity，通过产品出口树状图等可视化数据和新的指数如[[经济复杂度指数 Economic Complexity Index (ECI)]]等，后发展成经济复杂度地图集。<ref>{{cite web|title=OEC - Books|url=http://atlas.media.mit.edu/publications/|publisher=atlas.media.mit.edu|accessdate=16 August 2016}}</ref>基于新开发的分析工具，Hausmann，Hidalgo和他们的团队已经能够详细预测未来的经济增长。
==背景==
传统的经济发展理论无法解释各种产品类型在一个国家中经济的表现。<ref>A. Hirschman, ''The Strategy of Economic Development'' (Yale University Press, New Haven, CT, 1958).</ref><ref>P. Rosenstein-Rodan, ''Econ. J'' '''53''', 202 (1943).</ref><ref>K. Matsuyama, ''J. Econ. Theory'' '''58''', 317 (1992).</ref>传统观点认为，工业化会对新产品产生“溢出”效应，从而促进后续增长。然而，这个想法并没有被纳入任何正式的经济模型。解释一个国家的经济，要么侧重于该国资本和其他生产要素的相对比例，<ref>E. Heckscher, B. Ohlin, ''Heckscher-Ohlin Trade Theory,'' H. Flam, M. Flanders, Eds. (MIT Press, Cambridge, MA, 1991).</ref>要么侧重于技术能力的差异及其基础。<ref>P. Romer, ''J Polit. Econ.'' '''94''', 5 (1986).</ref>这些理论都没有抓住产品之间固有的共性，而这些产品之间的联系往往都会影响一个国家经济的增长。产品空间的建立提出了一个解决这个问题的新方法，很直观地想，例如，一个经常出口香蕉的国家很可能会出口芒果，而不是喷气式发动机。
===用森林类比===
产品空间的概念可以由以下方式解释: 如果将一个产品视为一棵树，将所有产品的集合视为一片森林。一个国家则可以想象成y由一片片森林组成的庄园，而生活在里面的猴子负责使用产品——树上的果子。对于猴子来说，生存意味着从森林中较为贫瘠的地方搬到森林中较富饶的地方。为了达到这个目的，猴子们必须在森林中跳跃迁徙; 也就是说，重新调配(物理、人力和机构)资本来生产新产品。传统的经济理论往往忽视了森林的结构，认为总有一棵树伸手可及。然而，如果森林是不均匀的，就会有树木生长茂密的地区，在这里猴子不必费多大力气就能够找到新的树木，而在树木稀少的地区，跳到一棵新的树上是非常困难的事情。事实上，如果一些地区非常贫瘠，猴子可能根本无法穿越森林。因此，森林的结构和猴子在森林中的位置决定了猴子的生长能力; 就经济而言，这种“产品空间”的拓扑结构会影响一个国家生产新产品的能力。
产品空间的概念可以由以下方式解释: 如果将一个产品视为一棵树，将所有产品的集合视为一片森林。一个国家则可以想象成y由一片片森林组成的庄园，而生活在里面的猴子负责使用产品——树上的果子。对于猴子来说，生存意味着从森林中较为贫瘠的地方搬到森林中较富饶的地方。为了达到这个目的，猴子们必须在森林中跳跃迁徙; 也就是说，重新调配(物理、人力和机构)资本来生产新产品。传统的经济理论往往忽视了森林的结构，认为总有一棵树伸手可及。然而，如果森林是不均匀的，就会有树木生长茂密的地区，在这里猴子不必费多大力气就能够找到新的树木，而在树木稀少的地区，跳到一棵新的树上是非常困难的事情。事实上，如果一些地区非常贫瘠，猴子可能根本无法穿越森林。因此，森林的结构和猴子在森林中的位置决定了猴子的生长能力; 就经济而言，这种“产品空间”的拓扑结构会影响一个国家生产新产品的能力。
===The concept of ‘proximity’===
==构建产品空间==
有许多要素可以描述一对产品之间的关系: 例如，生产所需的资本数量，技术复杂程度，或者产品价值链中的投入和产出。选择研究其中一个概念，假定其他概念相对不重要; 相对的，产品空间考虑一种基于结果的衡量方法，这种方法的基础是，如果一对产品因为需要相似的机构、资金、基础设施、技术等而相互关联，那么它们很可能是一起生产的。另一方面，不同种类的产品则不太可能共同生产。这种相似性的后验测试被称为“邻近度”。
===邻近度===
产品空间用一种称为'''邻近度 proximity'''的度量方法来量化产品之间的相关性。在上面的树的类比中，邻近度意味着森林中两棵树之间的接近程度。一个国家生产一种产品的能力取决于它生产其他产品的能力，临近度直觉得认为——一个出口苹果的国家最有可能拥有适合出口梨的条件：这个国家已经有了合适的土壤、气候、包装设备、冷藏卡车、农艺学家、植物卫生法和工作贸易协定。所有这些都可以很容易地重新部署到运营梨的业务上。然而，如果该国转而选择生产铜线或家用电器等不同产品，这些投入将是徒劳的。虽然量化与每种产品相关的一系列市场之间的重叠是很困难的，但衡量邻近程度使用的是一种基于成果的方法，其基本思想是，类似产品(苹果和梨)比不同产品(苹果和铜线)更有可能同时生产。
RCA 是一个严格的标准，用以考虑在全球市场的竞争性出口。为了将边际出口排除在外，一个国家如果出现显示比较优势，就称之为'''出口'''。使用Balassa<ref>B. Balassa, ''The Review of Economics and Statistics'' '''68''', 315 (1986).</ref>对RCA的定义，''x(c,i)''等于''c ''国在第''i''货物中的出口价值。
<math>\text{RCA}_{c,i}=\frac{{x(c,i)}/{\sum_i x(c,i)}}
<math>\text{RCA}_{c,i}=\frac{{x(c,i)}/{\sum_i x(c,i)}}
如果RCA评估值超过1，一个国家在某一产品中的出口份额就大于该产品在全球贸易中的份额。根据这一措施，当''RCA(c,i)''大于或等于1时，国家''c''被称为出口产品 ''i''。当 ''RCA(c,i)''小于1时，''c''国不是有效的出口国。根据这个惯例，一对货物 ''i''和''j''之间的接近度定义如下:
:<math>\phi_{i,j} = \min\{\Pr(\text{RCA} x_i \geq 1 \mid \text{RCA} x_j \geq 1), \Pr(\text{RCA} x_j \geq 1 \mid \text{RCA} x_i \geq 1)\}</math>
当给定出口商品''j''时，<math>\Pr(\text{RCA}_i \geq 1 \mid \text{RCA}_j \geq 1)</math>是出口商品''i''的条件概率。通过考虑这两个条件概率的最小值，我们消除了当一个国家是某种商品的唯一出口国时出现的问题: 出口任何其他商品的条件概率对于该国出口的所有其他货物都为1
===数据来源===
[[File:ProductSpaceMatrices.png|thumb|right|upright=2|A.按 SITC4分类排序的乘积空间矩阵。B.产品空间按层次分类揭示了模块性，775种产品被积极交易。]]
产品空间使用来自 Feenstra、 Lipset、 Deng、 Ma 和 Mo 的世界贸易流动: 1962-2000数据集的国际贸易数据，清洗并且兼容国家经济研究局(NBER)的项目。数据集包含了起源国和目的地的进口数据和出口数据。产品按照《标准化国际贸易守则》的四位数分类(SITC-4)。以1998-2000年的数据为重点，得出了775个产品类别，并为每个国家提供了每个类别向所有其他国家出口的价值。由此，得到了每对产品之间的775 * 775的相似度矩阵。A.按 SITC4分类排序的乘积空间矩阵。B.产品空间按层次分类揭示了模块性，775种产品被积极交易。
===矩阵表示===
这个矩阵的每一行和每一列都代表一个特定的商品，这个矩阵中的非对角线项反映了一对产品之间的接近程度。邻近矩阵的可视化表示显示了高度模块化: 一些商品高度连接，而其他商品是不连接的。此外，这个矩阵是稀疏的。5% 的元素等于0,32% 小于0.1,65% 的条目小于0.2。由于数据集的稀疏性，网络可视化是一种比较合适的数据集表示方法。
这个矩阵的每一行和每一列都代表一个特定的商品，这个矩阵中的非对角线项反映了一对产品之间的接近程度。邻近矩阵的可视化表示显示了高度模块化: 一些商品高度连接，而其他商品是不连接的。此外，这个矩阵是稀疏的。5% 的元素等于0,32% 小于0.1,65% 的条目小于0.2。由于数据集的稀疏性，网络可视化是一种比较合适的数据集表示方法。
==产品空间网络==
邻近矩阵的网络表示通过建立传统微妙趋势易于识别的可视化来帮助发展对其结构的直观理解。
邻近矩阵的网络表示通过建立传统微妙趋势易于识别的可视化来帮助发展对其结构的直观理解。
===最大生成树===
===Maximum spanning tree===
[[File:ProductSpaceMST.png|thumb|left|upright=2|最大生成树表示可视化产品空间网络的第一步。]]
构建产品相关性(邻近性)网络表示的第一步为生成一个网络框架。此处，最大生成树(MST)算法建立了一个网络的775个产品节点和774个链接，将网络的总邻近值最大化。
构建产品相关性(邻近性)网络表示的第一步为生成一个网络框架。此处，最大生成树(MST)算法建立了一个网络的775个产品节点和774个链接，将网络的总邻近值最大化。
===网络布局===
[[File:ProductSpaceFDSL.png|thumb|left|upright=2|上面的力定向弹簧布局包括来自MST的连接和任何邻近度大于0.55的边缘。为了实现最终的产品空间设计，手动拆解相对稠密的集群，并根据节点/链接的大小和颜色为其添加属性。]]
上面的力定向弹簧结构包括来自MST的连接和任何邻近度大于0.55的边缘。为了实现最终的产品空间设计，手动拆解相对稠密的集群，并根据节点/链接的大小和颜色为其添加属性。该网络的”骨架”是最强链接形成的，这些最强链接不局限于中心MST，也会选择包括大于或等于0.55的所有邻近链接。这产生了一个由775个节点和1525个链接组成的网络。阈值的选择使得网络的平均度等于4，这是一个已知的有效的'''<font color="#ff8000">网络可视化 network visualization</font>'''的常见规则。随着框架的完成，用一个力导向的弹簧算法实现更理想的网络布局。该算法将每个节点视为带电粒子，并假定每个连杆为弹簧，布局为系统的平衡位置或松弛位置。手动重新排列整齐的密集集群，以获得最大的美学效果。
上面的力定向弹簧结构包括来自MST的连接和任何邻近度大于0.55的边缘。为了实现最终的产品空间设计，手动拆解相对稠密的集群，并根据节点/链接的大小和颜色为其添加属性。该网络的”骨架”是最强链接形成的，这些最强链接不局限于中心MST，也会选择包括大于或等于0.55的所有邻近链接。这产生了一个由775个节点和1525个链接组成的网络。阈值的选择使得网络的平均度等于4，这是一个已知的有效的'''<font color="#ff8000">网络可视化 network visualization</font>'''的常见规则。随着框架的完成，用一个力导向的弹簧算法实现更理想的网络布局。该算法将每个节点视为带电粒子，并假定每个连杆为弹簧，布局为系统的平衡位置或松弛位置。手动重新排列整齐的密集集群，以获得最大的美学效果。
===节点和链接属性===
颜色和大小与其他协变量同时影响着网络的结构。产品空间的节点按照 Leamer 执行的产品分类进行着色，节点的大小反映了该特定行业在世界贸易中的货币流动比例。<ref>E. Leamer, ''Sources of Comparative Advantage: Theory and Evidence'' (MIT Press, Cambridge, MA, 1984).</ref>链接的颜色反映了两个产品间接近度测量的强度: 暗红色和蓝色表示高邻近度，而黄色和浅蓝色表示较弱的关联度。
还有其他类型的分类适用于产品空间方法论，<ref>J. Romero, E. Freitas, G. Britto, C. Coelho (2015). The great divide: the paths of industrial competitiveness in Brazil and South Korea (No. 519). Cedeplar, Universidade Federal de Minas Gerais.</ref>如Lall<ref>S. Lall, "The Technological structure and performance of developing country manufactured exports, 1985‐98." Oxford development studies 28.3 (2000): 337-369.</ref>提出的按技术强度对产品进行分类的方法。
==乘积空间的性质==
==Properties of the Product Space==
在最终的产品空间可视化中，网络表现出异质性和一个有核心的外围结构：网络的核心由金属产品、机械产品和化学品组成，而外围则由渔业、热带和谷物农业组成。在网络的左侧，有一个由服装产品形成的强大的外围簇，另一边属于纺织产业。在网络的底部，有一个大型的电子集群，在它的右边是采矿、森林和纸张产品。这一领域的产品集群与利默的产品分类方案有着惊人的相似之处，后者采用了一种完全不同的方法。该系统根据出口每种产品所需的资本、劳动力、土地或技能的相对数量对产品进行分组。
在最终的产品空间可视化中，网络表现出异质性和一个有核心的外围结构：网络的核心由金属产品、机械产品和化学品组成，而外围则由渔业、热带和谷物农业组成。在网络的左侧，有一个由服装产品形成的强大的外围簇，另一边属于纺织产业。在网络的底部，有一个大型的电子集群，在它的右边是采矿、森林和纸张产品。这一领域的产品集群与利默的产品分类方案有着惊人的相似之处，后者采用了一种完全不同的方法。该系统根据出口每种产品所需的资本、劳动力、土地或技能的相对数量对产品进行分组。
产品空间还更明确揭示了产品的类别结构。例如，机械很自然地分为两类: 一类是重型机械，另一类是车辆和电子设备。虽然机械集群与一些资本密集型金属产品相关联，但它并未与类似分类的产品(如纺织品)交织在一起。这样，产品空间为产品分类提供了一个新的视角。
产品空间还更明确揭示了产品的类别结构。例如，机械很自然地分为两类: 一类是重型机械，另一类是车辆和电子设备。虽然机械集群与一些资本密集型金属产品相关联，但它并未与类似分类的产品(如纺织品)交织在一起。这样，产品空间为产品分类提供了一个新的视角。
==产品空间的动力学==
[[File:ProductSpaceLocalization.png|frame|right|世界不同地区生产结构的本地化。区域 RCA > 1的乘积用黑色方块表示。]]
产品空间网络可以用来研究一个国家生产结构的演变。一个国家在空间内的方向可以通过观察其 RCA > 1的产品所处的位置来确定。右边的图像显示了专业化模式: 黑色方块表示每个地区出口的产品 RCA > 1。可以看出，工业化国家出口核心产品，如机械，化学品和金属产品。同时，它们也占据了周边产品，如纺织品、森林产品和畜牧业。东亚国家在纺织品、服装和电子产品方面表现出优势。拉丁美洲和加勒比地区专门从事边缘产业，如采矿、农业和服装业。撒哈拉以南非洲在少数几个产品类别中展示了优势，而这些产品类别都占据了产品空间的边缘。从这些分析中可以清楚地看出，每个区域都显示出一个在产品空间中容易识别的专业化模式。
===经验推广===
===Empirical diffusion===
同样的方法也可以用来观察一个国家的发展。通过使用相同的可视化惯例，可以看到各国通过遍历产品空间转向新的产品。有两种措施量化这种通过产品空间从未使用的产品(某一国家没有优势的产品)到占用的产品(该国具有 RCA > 1的产品)的流动。这些产品被称为“过渡产品”
同样的方法也可以用来观察一个国家的发展。通过使用相同的可视化惯例，可以看到各国通过遍历产品空间转向新的产品。有两种措施量化这种通过产品空间从未使用的产品(某一国家没有优势的产品)到占用的产品(该国具有 RCA > 1的产品)的流动。这些产品被称为“过渡产品”
“密度”的定义是指一种新产品接近某一国家当前的产品类集:
“密度”的定义是指一种新产品接近某一国家当前的产品类集:
:<math>\omega_j^k = \frac{ {\displaystyle \sum_i x_i \phi_{ij} } }{ {\displaystyle\sum_i \phi_{ij} } }</math>
:<math>\omega_j^k = \frac{ {\displaystyle \sum_i x_i \phi_{ij} } }{ {\displaystyle\sum_i \phi_{ij} } }</math>
一个较高的密度反映出一个国家一个国家围绕未使用的产品j有许多已开发的产品。研究发现，1990年没有生产但1995年生产的产品(过渡产品)密度较高，这意味着这一数值预示着向无人使用的产品过渡。“发现因素”测量证实了这一观点:
:<math>H_j = \frac{ {\displaystyle \sum_{k=1}^T \omega_j^k / T} }{ {\displaystyle \sum_{k=T+1}^N \omega_j^k / (N - T)} }</math>
:<math>H_j = \frac{ {\displaystyle \sum_{k=1}^T \omega_j^k / T} }{ {\displaystyle \sum_{k=T+1}^N \omega_j^k / (N - T)} }</math>
<math>H_j</math>反映了以第j项产品为过渡产品的所有国家的平均密度和未开发第j项产品的所有国家的平均密度。对于79% 的产品来说，这个比率超过了1，这表明该密度值可能预示着向新产品的过渡。
<math>H_j</math>反映了以第j项产品为过渡产品的所有国家的平均密度和未开发第j项产品的所有国家的平均密度。对于79% 的产品来说，这个比率超过了1，这表明该密度值可能预示着向新产品的过渡。
===Simulated diffusion===
===模拟推广===
产品空间结构的影响可以通过一个国家中某产品的邻近程度在阈值周围的波动来模拟评估。在邻近度为0.55的临界值时，各国能够扩散经过产品空间的核心，但扩散的速度取决于初始产品集。通过将门槛提高到0.65，一些最初的产品占据周边产业的国家陷入困境，找不到任何接近足够的产品。这意味着一个国家在产品空间范围内的定位事实上可以决定该国是否实现经济增长。
产品空间结构的影响可以通过一个国家中某产品的邻近程度在阈值周围的波动来模拟评估。在邻近度为0.55的临界值时，各国能够扩散经过产品空间的核心，但扩散的速度取决于初始产品集。通过将门槛提高到0.65，一些最初的产品占据周边产业的国家陷入困境，找不到任何接近足够的产品。这意味着一个国家在产品空间范围内的定位事实上可以决定该国是否实现经济增长。
==未来的工作==
虽然一个国家在网络中的动态定位已经被研究过，但是对于网络拓扑本身的变化却没有那么多的关注。有人建议，“产品空间的变化为未来的工作提供了一个有趣的途径。”<ref>C.A. Hidalgo, B. Klinger, A.-L. Barabási, R. Hausmann, ''Science'' '''317''' 485 (2007).</ref>此外，我们还应探讨各国经济增长的管理机制，如获得新的资本、劳动力、机构等，以及产品空间的共同出口是否真正反映了这些投入之间的相似性。
==另见==
* [[复杂经济学]]
==参考文献==
{{Reflist}}
== 编者推荐 ==
[[File:李红刚：经济金融系统复杂性.png|300px|thumb|[https://campus.swarma.org/course/945 李红刚：经济金融系统复杂性]]]
===集智文章===
====[https://swarma.org/?p=20326 Nature通讯：经济复杂性新算法，利用产品多样性衡量国家经济水平]====
“调和不同的审视经济复杂性的视角”一文，通过二分网络，提出了计算经济复杂性的新方法，该方法能反映出一国出口产品的多样性，同时具有了可解释性。
===集智课程===
====[https://campus.swarma.org/course/2844 复杂性经济学与经济复杂系统研究]====
经济是一个具有无比庞大的并发行为的复杂系统。市场、价格、产业、交易合约和制度，全都形成于这些并发行为中，并最终形成了经济的总体表现或聚合模式。
目前的复杂经济学研究一般基于复杂系统思维，使用多主体建模、复杂网络、统计物理和其它学科、以及大数据分析等思想方法工具，去研究一些传统经济学有意忽视或难以处理的社会经济问题。
该课程是对复杂经济学读书会总结.
====[https://campus.swarma.org/course/945 李红刚：经济金融系统复杂性]====
该课程主要介绍经济金融系统复杂性的独特表现以及经济金融系统复杂性研究的基本思想和主要方法，并简要介绍本科研小组在金融市场演化行为以及金融机构系统性风险研究方面的典型工作。
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