School of Economics and Statistics, Guangzhou University, Guangzhou, China.
School of Management, Guangzhou University, Guangzhou, China.
J Environ Manage. 2023 Dec 1;347:119147. doi: 10.1016/j.jenvman.2023.119147. Epub 2023 Sep 28.
In recent decades, Technology and Innovation (TI) have shown tremendous potential for improving agricultural productivity and environmental sustainability. However, the adoption and implementation of TI in the agricultural sector and its impact on the environment remain limited. To gain deeper insights into the significance of TI in enhancing agricultural productivity while maintaining environmental balance, this study investigates 21 agriculture-dependent Asian countries. Two machine learning techniques, LASSO (Least Absolute Shrinkage and Selection Operator) and Elastic-Net, are employed to analyze the data, which is categorized into three regional groups: ASEAN (Association of Southeast Asian Nations), SAARC (South Asian Association for Regional Cooperation), and GCC (Gulf Cooperation Council). The findings of this study highlight the heterogeneous nature of technology adoption and its environmental implications across the three country groups. ASEAN countries emerge as proactive adopters of relevant technologies, effectively enhancing agricultural production while simultaneously upholding environmental quality. Conversely, SAARC countries exhibit weaker technology adoption, leading to significant fluctuations in environmental quality, which in turn impact agricultural productivity. Notably, agricultural emissions of NO (nitrous oxide) and CO (carbon dioxide) in SAARC countries show a positive association with agricultural production, while CH (methane) emissions have an adverse effect. In contrast, the study reveals a lack of evidence regarding technological adoption in agriculture among GCC countries. Surprisingly, higher agricultural productivity in these countries is correlated with increased NO emissions. Moreover, the results indicate that deforestation and expansion of cropland contribute to increased agricultural production; however, this expansion is accompanied by higher emissions related to agricultural activities. This research represents a pioneering empirical analysis of the impact of TI and environmental emission gases on agricultural productivity in the three aforementioned country groups. It underscores the imperative of embracing relevant technologies to enhance agricultural output while concurrently ensuring environmental sustainability. The findings of this study provide valuable insights for policymakers and stakeholders in formulating strategies to promote sustainable agriculture and technological advancement in the context of diverse regional dynamics.
近几十年来,技术创新(TI)在提高农业生产力和环境可持续性方面展现出巨大潜力。然而,农业部门对 TI 的采用和实施及其对环境的影响仍然有限。为了更深入地了解 TI 在提高农业生产力的同时保持环境平衡的重要性,本研究调查了 21 个依赖农业的亚洲国家。我们使用了两种机器学习技术,LASSO(最小绝对收缩和选择算子)和弹性网络,对数据进行分析,数据分为三个地区组:东盟(东南亚国家联盟)、南盟(南亚区域合作联盟)和海湾合作委员会(海湾合作委员会)。本研究的结果强调了技术采用及其对三个国家群体环境影响的异质性。东盟国家作为相关技术的积极采用者脱颖而出,有效地提高了农业生产,同时保持了环境质量。相比之下,南盟国家的技术采用较弱,导致环境质量的显著波动,从而对农业生产力产生影响。值得注意的是,南盟国家的农业一氧化二氮(N2O)和二氧化碳(CO2)排放与农业生产呈正相关,而甲烷(CH4)排放则呈负相关。相比之下,本研究没有发现海湾合作委员会国家在农业方面采用技术的证据。令人惊讶的是,这些国家较高的农业生产力与较高的一氧化二氮排放有关。此外,研究结果表明,森林砍伐和耕地扩张有助于提高农业生产;然而,这种扩张伴随着与农业活动相关的更高排放。本研究代表了对上述三个国家群体中 TI 和环境排放气体对农业生产力影响的开创性实证分析。它强调了采用相关技术来提高农业产出的同时,确保环境可持续性的必要性。本研究的结果为政策制定者和利益相关者提供了有价值的见解,为制定在不同区域动态背景下促进可持续农业和技术进步的战略提供了参考。