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Advancements in technology and innovation for sustainable agriculture: Understanding and mitigating greenhouse gas emissions from agricultural soils.
Qayyum, Muhammad; Zhang, Yanping; Wang, Mansi; Yu, Yuyuan; Li, Shijie; Ahmad, Wasim; Maodaa, Saleh N; Sayed, Shaban R M; Gan, Jiawei.
Afiliação
  • Qayyum M; School of Economics and Statistics, Guangzhou University, Guangzhou, China. Electronic address: qayyum2494@gmail.com.
  • Zhang Y; School of Management, Guangzhou University, Guangzhou, China. Electronic address: zhangyanping213@163.com.
  • Wang M; School of Innovation and Entrepreneurship, Guangzhou University, Guangzhou, China. Electronic address: wangmansi@163.com.
  • Yu Y; Department of Economics and Finance, City University of Hong Kong, China. Electronic address: yuyuanyu2-c@my.cityu.edu.hk.
  • Li S; School of Economics, Nankai University, Tianjin City, China. Electronic address: lshijie@foxmail.com.
  • Ahmad W; School of Economics and Statistics, Guangzhou University, Guangzhou, China. Electronic address: wasimtouseef@hotmail.com.
  • Maodaa SN; Department of Botany and Microbiology, College of Science, King Saud University, P.O. Box 2455, Riyadh, 11451, Saudi Arabia.
  • Sayed SRM; Department of Botany and Microbiology, College of Science, King Saud University, P.O. Box 2455, Riyadh, 11451, Saudi Arabia.
  • Gan J; School of Management, Guangzhou University, Guangzhou, China.
J Environ Manage ; 347: 119147, 2023 Dec 01.
Article em En | MEDLINE | ID: mdl-37776793
ABSTRACT
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 N2O (nitrous oxide) and CO2 (carbon dioxide) in SAARC countries show a positive association with agricultural production, while CH4 (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 N2O 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.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Gases de Efeito Estufa Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Gases de Efeito Estufa Idioma: En Ano de publicação: 2023 Tipo de documento: Article