Climate Change Risk and Green Low-Carbon Development in Agriculture: Evidence from China on the Regulatory Role of Agricultural Insurance and Spatial Spillover Effects

Climate Change Risk and Green Low-Carbon Development in Agriculture: Evidence from China on the Regulatory Role of Agricultural Insurance and Spatial Spillover Effects

<p dir="ltr">This study uses panel data from 31 provinces in China for the period 2003–2023. The specific data sources and processing methods are as follows:</p><ol><li><b>Climate Risk Data</b><br>The climate risk index is calculated using the data...

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Номзүйн дэлгэрэнгүй
Үндсэн зохиолч:	ZHAOYANG LU (21957038) (author)
Бусад зохиолчид:	NAN LI (22678883) (author), HAILONG FENG (22678886) (author), JIANGLAI DONG (22678906) (author), DIAO GOU (22678910) (author), MING XU (22678888) (author)
Хэвлэсэн:	2025
Нөхцлүүд:	Sustainable agricultural development climate change risks green and low-carbon development of agriculture agricultural insurance spatial spillover effect spatial durbin model
Шошгууд:	Шошго нэмэх Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!

Ижил төстэй зүйлс

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Agricultural vulnerability to pollinator declines in each municipality across Brazil, considering the 2019 harvest.
-н: Willams Oliveira (21442562)
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Total agricultural production value of leading crops in the 2019 harvest across all Brazilian municipalities.
-н: Willams Oliveira (21442562)
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Supplementary data
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Estimated total production value, economic value of pollination (EVP) for the entire country and within each biome domain. Values refer to the leading crops in the 2019 harvest. <sup>1</sup>Source: IBGE.
-н: Willams Oliveira (21442562)
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Results of the generalized linear mixed model (GLMM) using a Tweedie distribution (log link). The response variable is the vulnerability to pollinator decline. Estimates (β), standard errors, z-values, and p-values and 95% confidence intervals (CI, low – high) are shown. Significance levels were assessed at P < 0.05.
-н: Willams Oliveira (21442562)
Хэвлэсэн: (2025)

Results of the generalized linear mixed model (GLMM) using a Tweedie distribution (log link). The response variable is the economic value of pollination. Estimates (β), standard errors, z-values, and 95% confidence intervals (CI, low – high) p-values are shown. Significance levels were assessed at a P < 0.05 threshold.
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Economic value of pollination (EVP) (A) and vulnerability to pollinator declines (B) across Brazilian biomes excluding soybean.
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Хэвлэсэн: (2025)

Economic value of pollination (EVP) (A) and vulnerability to pollinator declines (B) across Brazilian biomes including soybean.
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Хэвлэсэн: (2025)

Correlation between municipal scale vulnerability to pollinator declines excluding soybean cultivation and Human Development Index (HDI), Gross Domestic Product (GDP), Human footprint, Habitat loss, and Proportion of low-income farmers.
-н: Willams Oliveira (21442562)
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Correlation between municipal scale vulnerability to pollinator declines including soybean cultivation and Human Development Index (HDI), Gross Domestic Product (GDP), Human footprint, Habitat loss, and Proportion of low-income farmers.
-н: Willams Oliveira (21442562)
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Correlation between the municipal economic value of pollination excluding soybean and Human Development Index (HDI), Gross Domestic Product (GDP), Human footprint, Habitat loss, and Proportion of low-income farmers.
-н: Willams Oliveira (21442562)
Хэвлэсэн: (2025)

Correlation between the municipal economic value of pollination including soybean and Gross Domestic Product (GDP), Human Development Index (HDI), Habitat loss, Farm size, Human footprint, and Proportion of low-income farmers.
-н: Willams Oliveira (21442562)
Хэвлэсэн: (2025)

The economic value of pollination in each municipality across Brazil, considering the 2019 harvest.
-н: Willams Oliveira (21442562)
Хэвлэсэн: (2025)

Relationship between the proportion of low-income farmers and (A) the economic value of pollination (EVP) and (B) the vulnerability associated with pollinator dependence across six Brazilian biomes, with soybean excluded.
-н: Willams Oliveira (21442562)
Хэвлэсэн: (2025)

Relationship between the proportion of low-income farmers and (A) the economic value of pollination (EVP) and (B) the vulnerability associated with pollinator dependence across six Brazilian biomes, with soybean included.
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-н: Fee Nanett Trau (16734722)
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Number of samples available and used for analysis for each water body and the FFGs.
-н: Fee Nanett Trau (16734722)
Хэвлэсэн: (2025)

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