清晨好,您是今天最早来到科研通的研友!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您科研之路漫漫前行!

Agricultural insurance and pesticides selection in China: traditional or green?

农业 选择(遗传算法) 中国 杀虫剂 控制论 业务 计算机科学 自然资源经济学 经济 人工智能 地理 生态学 生物 考古
作者
Zhuang Zhang,You Hua Chen
出处
期刊:Kybernetes [Emerald (MCB UP)]
被引量:1
标识
DOI:10.1108/k-11-2023-2284
摘要

Purpose Numerical literature shows that agricultural insurance can affect pesticide investments, but few of them are devoted to explain how agricultural insurance affects farmers’ selection on green or traditional pesticides. This paper aims to develop a theoretical model about how agricultural insurance influences on green pesticides selections and tests our conclusions by using the data from China land economic survey (CLES) from 2020 to 2021. Design/methodology/approach We employ probit model to capture the effects of agricultural insurance on green pesticides adoption. Findings We indicate that green pesticides have a stronger effect on stabilizing yield and increasing income than traditional pesticides, but there are still risks disturbing farmers’ decisions on green pesticides usage. By providing premium subsidies after the farmers are affected by natural risk, agricultural insurance improves the farmers’ expected income and encourages farmers to use green pesticides. Further, we further confirm these conclusions by considering different scenarios such as climate risks, farmers’ entrepreneurship and credit constraints. We find that the effects are more salient if croplands are under higher natural risks and, farmers are equipped with entrepreneurship and formal credit. This paper implies that the agricultural insurance decoupled with green technologies also have salient positive effects on agricultural pollution control. Originality/value The potential contributions of this paper can be outlined in three aspects in detail. Firstly, this paper aims to revel the effects of agricultural insurance on pesticide selection by structuring a general theoretical model. By using the CLES data from 2020 to 2021, we confirm that agricultural insurance increases the probability for adopting green pesticides. Secondly, this paper discusses the effects of farmers’ characteristics on the results and finds that if farmers have entrepreneurship, the effects of agricultural insurance on green pesticide usage will be more salient. Thirdly, it uncovers some practices in China, which will supply experiences for other developing countries. For example, this paper further demonstrates that “insurance + credit” plan the present Chinese government carried out will be an important measure for strengthening effects of agricultural insurance on green pesticides usage. Moreover, it shows that decouple agricultural policies will also guide farmers to use green technologies eventually if the technologies are reliable and farmers can afford.

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
10秒前
13秒前
V_I_G完成签到 ,获得积分10
15秒前
minnie完成签到 ,获得积分10
16秒前
22秒前
专注的觅云完成签到 ,获得积分10
25秒前
怪怪完成签到,获得积分10
29秒前
Nene完成签到 ,获得积分20
33秒前
38秒前
xxfsx应助kzxhql采纳,获得10
41秒前
xxfsx应助kzxhql采纳,获得10
41秒前
1分钟前
Funnymudpee发布了新的文献求助10
1分钟前
1分钟前
MTF完成签到 ,获得积分10
1分钟前
2分钟前
2分钟前
Eileen完成签到 ,获得积分0
2分钟前
合不着完成签到 ,获得积分10
2分钟前
2分钟前
3分钟前
3分钟前
3分钟前
3分钟前
3分钟前
3分钟前
量子星尘发布了新的文献求助10
4分钟前
4分钟前
4分钟前
4分钟前
天玄发布了新的文献求助10
5分钟前
5分钟前
5分钟前
天玄发布了新的文献求助10
5分钟前
5分钟前
糟糕的翅膀完成签到,获得积分10
6分钟前
cy0824完成签到 ,获得积分10
6分钟前
6分钟前
披着羊皮的狼完成签到 ,获得积分10
6分钟前
6分钟前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Iron toxicity and hematopoietic cell transplantation: do we understand why iron affects transplant outcome? 2000
List of 1,091 Public Pension Profiles by Region 1021
Teacher Wellbeing: Noticing, Nurturing, Sustaining, and Flourishing in Schools 1000
A Technologist’s Guide to Performing Sleep Studies 500
EEG in Childhood Epilepsy: Initial Presentation & Long-Term Follow-Up 500
Latent Class and Latent Transition Analysis: With Applications in the Social, Behavioral, and Health Sciences 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5482509
求助须知:如何正确求助?哪些是违规求助? 4583305
关于积分的说明 14389165
捐赠科研通 4512439
什么是DOI,文献DOI怎么找? 2472945
邀请新用户注册赠送积分活动 1459144
关于科研通互助平台的介绍 1432624