Analysis on Bioeconomy’s Contribution to GDP: Evidence from Japan
Analysis on Bioeconomy’s Contribution to GDP: Evidence from Japan
复制标题
生物经济对GDP的贡献分析：来自日本的证据
DOI：
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发表时间：
2019
期刊：
影响因子：
3.9
通讯作者：
Bertha Ada Danso
中科院分区：
文献类型：
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作者：
Xuezhou Wen;Daniel Quacoe;Dinah Quacoe;K. Appiah;Bertha Ada Danso
本研究分析了7个生物经济部门，旨在建立国内生产总值（GDP）的主要贡献部门，并确定生物经济与日本国民经济的未来关系。我们使用了世界投入产出数据库（WIOD）、国际可再生能源署（IRENA）和世界银行集团的数据进行分析。首先，我们使用主成分分析（PCA）技术来确定对国民经济做出重大贡献的生物经济部门。通过PCA我们发现，我们分析的所有生物经济部门对国民经济的贡献几乎一致且显著。我们还发现林业和木材部门是对生物经济贡献最大的部门。我们使用自回归分布滞后（ARDL）界限检验来证明生物经济与国内生产总值（GDP）之间存在短期和长期关系。最后利用向量误差修正格兰杰因果关系模型建立了生物经济与GDP在长期而非短期内的双对偶关系。
This study analyzes seven bioeconomy sectors with the aim of establishing the leading contributing sectors to gross domestic product (GDP), and also determines the future relationship between bioeconomy and the national economy in Japan. We use data from World Input–Output Database (WIOD), International Renewable Energy Agency (IRENA), and the World Bank Group for this analysis. First, we use principal component analysis (PCA) techniques to identify the bioeconomy sectors that contribute significantly to the national economy. We find through the PCA that all the bioeconomy sectors that we analyzed contribute almost uniformly and significantly to the national economy. We also find forestry and wood sectors to be the most significant contributing bioeconomy sectors. We use the autoregressive distributed lag (ARDL) bounds test to prove the existence of short-run and long-run relationships between bioeconomy and gross domestic product (GDP). We finally use the vector error correction Granger causality model to establish a bicausality between bioeconomy and GDP in the long-run, but not in the short-run.