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Dynamic Linkage between Aging, Mechanizations and Carbon Emissions from Agricultural Production
Lili Guo1, Yuting Song1, Shuang Zhao1
1College of Economics, Sichuan Agricultural University, Chengdu 611130, China.
Summary
Global population aging significantly impacts agricultural carbon emissions. While aging and mechanization increase emissions short-term, aging
Area of Science:
- Environmental Science
- Agricultural Economics
- Demography
Background:
- Global population aging is a significant demographic trend with ecological implications.
- Limited research exists on the specific impact of aging populations on agricultural carbon emissions.
- China's agricultural sector, historically small-scale, faces labor scarcity due to aging.
Purpose of the Study:
- To investigate the long-term effects of population aging and agricultural mechanization on agricultural carbon emissions in China.
- To construct a policy framework for sustainable agricultural development considering demographic shifts.
- To provide insights for environmental and ecological protection strategies.
Main Methods:
- Utilized data from 30 Chinese provinces between 2000 and 2019.
- Employed econometric models including Fully Modified General Least Squares (FMOLS), Dynamic General Least Squares (DOLS), and Panel Vector Autoregression (PVAR).
- Applied Granger causality tests to establish causal relationships between aging, mechanization, and agricultural carbon emissions.
Main Results:
- Population aging is identified as a Granger cause for both agricultural carbon emissions and mechanization.
- A bidirectional causal relationship exists between agricultural carbon emissions and mechanization.
- In the short term, both aging and mechanization contribute to agricultural carbon dioxide emissions.
- Long-term analysis reveals a significantly negative impact of aging on agricultural mechanization.
Conclusions:
- Aging population dynamics influence agricultural practices and their environmental footprint.
- Mechanization's role in agricultural carbon emissions is complex, with short-term increases but long-term mitigation potential influenced by aging.
- Findings suggest that managing the aging workforce can lead to improved environmental outcomes in agriculture.
- The study provides a basis for informed government agricultural policy formulation to address climate change and demographic shifts.
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