Global Changes in Trade: Data Collection and Analysis

9320817 Feenstra过去几十年来，全球贸易的快速增长推动了世界经济增长，并导致发展中国家和发达经济体的转型。 了解国际贸易的来源，以及政策对贸易的影响，仍然是学术界和政府调查的一个重要课题。 这项研究的关键是关于贸易流量和贸易其他方面的大型数据集，这些数据集跨越国家、行业和时间，不仅跨越这些国家，而且在国家、行业和时间之间具有可比性。 不幸的是，研究人员并不容易获得这种类型的数据。 每个国家都为自己的目的收集贸易数据，特别是关税征收和其他贸易条例的管理。 每个国家的制度都不同，并随着时间的推移而变化。 即使联合国根据国际贸易标准分类（SITC）的连续版本收集许多国家的数据，也不能产生长期一致或符合美国或联合国行业分类的数据。 其结果是，每个交易研究都涉及沉重的费用，以及时间和精力的投资，以操纵这些极其庞大的数据集，并将其转化为分析有用的形式。 这些时间和精力的支出是重叠和重复的，但尽管研究人员和资助研究的机构所涉及的费用，很少有结转或分享信息，许多努力被浪费了。 该项目的目的是建立、汇集和协调关于国际贸易和关于决定贸易流动的国家商品和工业特点的大量数据集，并广泛提供。 该项目将以机器可读的形式提供关于美国进出口、世界贸易、世界价格、国家资源供应和工业投入的注释良好和方便的贸易集。 关于国家资源供应的数据尤其令人兴奋。 它可以成为研究国际贸易模式和全球环境变化的关键数据源。 这些数据也被用来研究资本主义与社会主义经济增长的决定因素。 现有的数据集载有1958年至1975年三年期间34个国家按用途（可耕地、牧场）和气候区区分的贸易流量和土地等资源特点的数据。 这些数据以出版形式存在，使其数据库中的国家数目从34个扩大到90多个，每年覆盖到现在。

9320817 Feenstra The rapid rise in global trade during the past decades has fueled world growth, and led to a transformation of developing and developed economies alike. Understanding the sources of international trade, and the impact of policy on trade, continues to be an important topic of academic and government inquiry. Essential to this study are large data sets on trade flows and other aspects of trade that span countries, industries and time, and not only span them but are comparable across countries, industries, and time. Unfortunately, data of this type are not readily available to researchers. Each country collects trade figures for its own purposes, particularly tariff collection and the administration of other trade regulations. Each country's system is different, and has changed over time. Even the collection of many countries' data by the UN according to successive versions of the Standard International trade Classification (SITC) does not produce data that are consistent over time or that fit the industry classifications of the United States or the United Nations. The result is that each trade study involves heavy expenses, and investments of time and effort to manipulate these extremely large data sets and ;put them in analytically useful forms. These expenditures of time and effort are overlapping and duplicative, but despite the expenses involved for researchers and agencies that finance research, there is little carryover or sharing of information, and much effort is wasted. The purpose of this project is to construct, assemble and concord a number of large data sets on international trade and on country commodity and industry characteristics that determine trade flows, and make them widely available. The project will provide well-annotated and convenient trade sets in machine readable form on U.S. imports and exports, world trade, world prices, country resource supplies, and industry inputs. The data on country resource supplies is especially exciting. It could be come a key data source for the study of international trade patterns and global environmental change. These data have also been used to study the determinants of growth in capitalist versus socialist economies. The existing data set contains data on trade flows and such resource characteristics as land differentiated both by use (arable, pasture) and by climatic area for 34 countries in three year intervals from 1958 to 1975. The data exist in published form to permit the number of countries int his database to be expanded from 34 to over 90 with annual coverage to the present.