Data for: TFP Bioeconomy Impact post Covid-19 on agricultural economy

Panel Data describe the six region of the world as output using six inputs: Value Agriculture (<em>VA</em>it) represents the Output where the bioeconomy (residual biomass) is integrated. Crop and livestock statistics are recorded for 278 products, covering the following categories: 1) crops primary, 2) crops processed, 3) live animals, 4) livestock primary (Galanakis <em>et al</em>., 2022; Mahari <em>et al.</em>, 2022). Land use (<em>LU</em>it) represents the input 1, Land use indicates the socioeconomic use of land (for example, agriculture, forestry, recreation or residential use). In particular it defines a number of services such as agriculture, forestry, industry, transport, housing and other services that use land as a natural and/or an economic resource. This variable can affect the level of technological innovation, which can contribute to the improvement of TFP in the bioeconomy (Egenolf <em>et al</em>., 2022; Rahman <em>et al.</em>, 2022). Unit Capital Stock (<em>UCS</em>it) represents the input 2, can affect the changes of technological innovation. It can also be described as the difference between gross capital stock and consumption of fixed capital (Scandizzo, 2022; Nakamya, 2022). Annual population (<em>AP</em>it) represents input 3, can affect the changes of technical efficiency, in conditions of Covid-19 affected the working market (Ronzon <em>et al</em>., 2022; Zhao <em>et al</em>., 2022). Trade Indices (<em>TI</em>it) represents input 4, can affect the changes of technological innovation. It includes re-exports. According to the FAO methodology, the quantity of food and agricultural exports included in the FAOSTAT database is expressed in terms of weight (tonnes) for all commodities except for live animals which are expressed in units (heads); poultry, rabbits, pigeons and other birds are expressed in thousand units (Rahman <em>et al.</em>, 2022; Huang <em>et al.,</em> 2022). Consumer Prices, Food Indices (2015 = 100) (<em>CPFI</em>it) represents input 5, can affect the changes of technological innovation. Consumer Price Indices measure the price change between the current and reference periods of an average basket of goods and services purchased by households (Egenolf <em>et al</em>., 2022; Ronzon <em>et al</em>., 2022).

本面板数据以全球六大区域为产出对象，采用以下六项输入变量展开分析：农业产出（Value Agriculture, VA）_it：表征融入生物经济（残余生物质）的产出水平。该数据集收录了278种农畜产品的统计数据，涵盖以下类别：1）初级农作物、2）加工农作物、3）活体动物、4）初级畜牧产品（Galanakis et al., 2022; Mahari et al., 2022）。土地利用（Land Use, LU）_it为第一类输入变量，表征土地的社会经济用途（例如农业、林业、休闲或住宅用地），具体定义了以土地作为自然和/或经济资源的各类服务场景，包括农业、林业、工业、交通、住房及其他服务业。该变量可影响技术创新水平，进而助力生物经济全要素生产率（Total Factor Productivity, TFP）的提升（Egenolf et al., 2022; Rahman et al., 2022）。单位资本存量（Unit Capital Stock, UCS）_it为第二类输入变量，可影响技术创新的变化，亦可表述为总资本存量与固定资本消耗之差（Scandizzo, 2022; Nakamya, 2022）。年度人口（Annual Population, AP）_it为第三类输入变量，可影响技术效率的变化，在新冠疫情影响劳动力市场的背景下尤为显著（Ronzon et al., 2022; Zhao et al., 2022）。贸易指数（Trade Indices, TI）_it为第四类输入变量，可影响技术创新的变化，包含转口贸易。根据联合国粮食及农业组织（Food and Agriculture Organization of the United Nations, FAO）的统计方法，FAOSTAT数据库中收录的食品与农产品出口量，除活体动物以头数为单位、家禽、兔、鸽及其他鸟类以千只为单位外，其余商品均以重量（吨）计量（Rahman et al., 2022; Huang et al., 2022）。食品消费者价格指数（以2015年为基期，基数为100，Consumer Prices, Food Indices, CPFI）_it为第五类输入变量，可影响技术创新的变化。消费者价格指数用于衡量家庭购置的一篮子商品与服务的当期价格相较于基期的变动幅度（Egenolf et al., 2022; Ronzon et al., 2022）。