2023
DOI: 10.1016/j.ecolmodel.2023.110501
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Modelling the impact of climate change and advanced agricultural technologies on grain output: Recent evidence from China

Abbas Ali Chandio,
Dicle Ozdemir,
Yuansheng Jiang
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Cited by 8 publications
(5 citation statements)
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“…According to the results of the Cragg-Donald Wald F statistic and the Lagrange multiplier (LM) statistic, the selection of the instrumental variable passes the weak instrumental variable test and the nonidentifiable test, suggesting that the selected instrumental variable is reasonable and effective. The second-stage regression results in Column (2) show that the estimated coefficient of digital finance is still significant, demonstrating that after controlling for endogeneity issues, digital finance can still promote an increase in rice production, further confirming Hypothesis 1.…”
Section: Endogeneity Testmentioning
confidence: 58%
See 3 more Smart Citations
“…According to the results of the Cragg-Donald Wald F statistic and the Lagrange multiplier (LM) statistic, the selection of the instrumental variable passes the weak instrumental variable test and the nonidentifiable test, suggesting that the selected instrumental variable is reasonable and effective. The second-stage regression results in Column (2) show that the estimated coefficient of digital finance is still significant, demonstrating that after controlling for endogeneity issues, digital finance can still promote an increase in rice production, further confirming Hypothesis 1.…”
Section: Endogeneity Testmentioning
confidence: 58%
“…Similarly, the results in Column (2) show that digital finance has a significant positive impact on farmers' willingness to participate in insurance. First, in the context of promoting the development of digital finance, farmers can more easily access risk management education through mobile internet, improve their own risk management awareness, and increase their willingness to participate in insurance [47].…”
Section: Analysis Of the Mechanisms Of Actionmentioning
confidence: 80%
See 2 more Smart Citations
“…Based on Chinese official statistics, the development of agricultural science and technology has been vigorously promoted with unprecedented intensity, and the contribution rate of agricultural science and technology increased from 52% in 2010 to 60% in 2020. The growth of "green" productivity in China's agricultural sector is mainly driven by innovation in planting technology, efficient resource use, and pollutant treatment (Liu and Feng, 2019;Huang et al, 2022;Chandio et al, 2023c). Since 2000, the Chinese government has boosted its investment in agricultural research and has listed the key goals of domestic agricultural R&D projects, including adapting to climate change, increasing production, conserving resources, and reducing environmental pollution (Zhang et al, 2013).…”
Section: Benchmark Regression Resultsmentioning
confidence: 99%