The spatiotemporal dynamic evolution and influencing factors of agricultural green total factor productivity in Southeast Asia (ASEAN-6)

Salman Hamid (), Qingqing Wang () and Ke Wang ()
Additional contact information
Salman Hamid: Beijing Institute of Technology
Qingqing Wang: Beijing Institute of Technology
Ke Wang: Beijing Institute of Technology

Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, 2025, vol. 27, issue 1, No 87, 2469-2493

Abstract: Abstract The assessment of agricultural green total factor productivity (GTFP) is indispensable for simultaneous increase in production efficiency and eco-environmental performance to enhance regionally coordinated sustainable green development of agriculture. In this context, considering undesirable output of carbon emissions in the total factor framework, this is a pioneer research to analyze the spatiotemporal dynamic evolution and several influencing factors of agricultural GTFP in six Southeast Asian (ASEAN-6) countries by adopting the global Malmquist–Luenberger productivity index, which can overcome the infeasibility issue and the panel quantile regression, which can overcome limitations of the conventional regression approaches, that is, the distribution of the error terms and sensitivity to outliers. The empirical results indicate: (a) agricultural GTFP increased during 2000–2019 signifying a sustainable route for agricultural green development at regional level; (b) the higher the level of green technology, the higher would be the possibility of agricultural GTFP improvement; therefore, green technological innovation was the sole contributor whereas green technical efficiency restrict agricultural GTFP; (c) four out of six countries had achieved technological progress with significant increase in their innovative capabilities whereas five out of six countries had stagnant technical efficiency; (d) all the influencing factors of agricultural GTFP had a heterogenous affect across different quantiles. The endowment structure and regional opening demonstrated the highest significant favorable impact across the lower and the higher green productive countries. In contrast, agricultural carbon intensity had a highly significant heterogeneous inhibitory impact whereas agricultural energy intensity had increasing inhibitory impact from the lower to the higher green productive countries. The essential strategies to improve agricultural GTFP in ASEAN-6 countries include encouraging regionally coordinated agricultural development, strengthening technological advancements, promoting production efficiency in terms of green development, optimizing production structure, mutual recognition and expansion of agricultural opening-up level, and minimizing energy and carbon intensity of agriculture sector.

Keywords: Green total factor productivity (GTFP); Global malmquist–luenberger (GML) productivity index; Panel quantile regression; Influencing factors; Agriculture sector; ASEAN-6 (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s10668-023-03975-7 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:endesu:v:27:y:2025:i:1:d:10.1007_s10668-023-03975-7

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/10668

DOI: 10.1007/s10668-023-03975-7

Access Statistics for this article

Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development is currently edited by Luc Hens

More articles in Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().