Analysis of the Influencing Factors and Increasing Paths of Farmers’ Income in Miyun Ecological Conservation Area

doi:10.11923/j.issn.2095-4050.cjas2021-0046

Abstract

Abstract:

The Ecological Conservation Area (ECA) of Beijing is not only an important protective screen for the ecological safety of Beijing, but a significant foundation for local social-economic development. Its development requires balancing the relationship of ecological protection and economic development. Miyun District, located in the northeast of Beijing as an ECA, was taken for case study. In this study, farmers’ income data change from 2006 to 2018 was analyzed, and indicators of agroforestry water expenditure, the regional GDP, cultivated land area, etc., were selected to construct the evaluating system for correlation analysis and multiple linear regression analysis, aiming to explore the indicators’ impacts on farmers’ income. The results showed that the per capita income of farmers had an upward trend and was positively correlated with five indicators such as agroforestry water expenditure and regional GDP, and was negatively correlated with total agricultural machinery power consumption and other indicators. To promote the coordinated development of ecological economy in ecological conservation areas, the study puts forward some adaptive income increasing strategies, such as strengthening the infrastructure construction, increasing the investment in human capital, promoting industrial transformation and upgrading and improving the ecological compensation mechanism.

Key words: ecological conservation area, farmers’ income, influencing factors, factor analysis, Miyun District

CLC Number:

XIE Mingyi, XU Guangcai, SHAO Weiming, ZHANG Yanfang. Analysis of the Influencing Factors and Increasing Paths of Farmers’ Income in Miyun Ecological Conservation Area[J]. Journal of Agriculture, 2022, 12(10): 94-100.

Figures/Tables 8

References 20

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	指标	计量单位	代表符号
被解释变量	农民人均收入	元	Y
解释变量	农林水务支出	万元	S₁
	农业机械总动力	kW	S₂
	地区生产总值	万元	S₃
	耕地面积	hm²	S₄
	农村用电量	kW/h	S₅
	农村劳动力数量	万人	S₆
	农林牧渔业总产值	万元	S₇
	恩格尔系数	%	S₈
	农业人口比重	%	S₉

	指标	计量单位	代表符号
被解释变量	农民人均收入	元	Y
解释变量	农林水务支出	万元	S₁
	农业机械总动力	kW	S₂
	地区生产总值	万元	S₃
	耕地面积	hm²	S₄
	农村用电量	kW/h	S₅
	农村劳动力数量	万人	S₆
	农林牧渔业总产值	万元	S₇
	恩格尔系数	%	S₈
	农业人口比重	%	S₉

	Y	S₁	S₂	S₃	S₄	S₅	S₆	S₇	S₈	S₉
Y	1	0.992**	-0.954**	0.996**	-0.633*	0.961**	0.832**	0.275	-0.911**	-0.986**
S₁	0.992**	1	-0.921**	0.992**	-0.628*	0.956**	0.806**	0.251	-0.888**	-.978**
S₂	-0.948**	-0.921**	1	-0.946**	0.485*	-0.936**	-0.902**	-0.177	0.883**	0.928**
S₃	0.998**	0.992**	-0.946**	1	-0.615*	0.958**	0.831**	0.282	-0.892**	-0.984**
S₄	-0.598*	-0.628*	0.485*	-0.615*	1	-0.487*	-0.206	-0.715**	0.694**	0.685**
S₅	0.955**	0.956**	-0.936**	0.958**	-0.487*	1	0.901**	0.075	-0.812**	-0.910**
S₆	0.829**	0.806**	-0.902**	0.831**	-0.206	0.901**	1	-0.19	-0.664**	-0.753**
S₇	0.263	0.251	-0.177	0.282	-0.715**	0.075	-0.19	1	-0.419	-00.396
S₈	-0.898**	0-.888**	0.883**	-0.892**	0.694**	-0.812**	-0.664**	-0.419	1	0.927**
S₉	-0.984**	-0.978**	0.928**	-0.984**	0.685**	-0.910**	-0.753**	-0.396	0.927**	1

	Y	S₁	S₂	S₃	S₄	S₅	S₆	S₇	S₈	S₉
Y	1	0.992**	-0.954**	0.996**	-0.633*	0.961**	0.832**	0.275	-0.911**	-0.986**
S₁	0.992**	1	-0.921**	0.992**	-0.628*	0.956**	0.806**	0.251	-0.888**	-.978**
S₂	-0.948**	-0.921**	1	-0.946**	0.485*	-0.936**	-0.902**	-0.177	0.883**	0.928**
S₃	0.998**	0.992**	-0.946**	1	-0.615*	0.958**	0.831**	0.282	-0.892**	-0.984**
S₄	-0.598*	-0.628*	0.485*	-0.615*	1	-0.487*	-0.206	-0.715**	0.694**	0.685**
S₅	0.955**	0.956**	-0.936**	0.958**	-0.487*	1	0.901**	0.075	-0.812**	-0.910**
S₆	0.829**	0.806**	-0.902**	0.831**	-0.206	0.901**	1	-0.19	-0.664**	-0.753**
S₇	0.263	0.251	-0.177	0.282	-0.715**	0.075	-0.19	1	-0.419	-00.396
S₈	-0.898**	0-.888**	0.883**	-0.892**	0.694**	-0.812**	-0.664**	-0.419	1	0.927**
S₉	-0.984**	-0.978**	0.928**	-0.984**	0.685**	-0.910**	-0.753**	-0.396	0.927**	1

KMO与Bartlett检验
Kaiser-Meyer-Olkin 测量取样适当性	0.803
Bartlett的球形检验大约卡方	184.630
df	36
显著性(Sig.)	0.000