Project leader: Shengyu Peking University Modern Agricultural College

Start and end time of the project: May 31, 2018 - May 31, 2020

Project Description:

The goal of this study was to use China Family Panel Studies (CFPS) 2014-2017, China National Rural Survey (CNRS) 2000 and 2008, and China Rural Development Survey (CRDS) 2005, 2008, 2012 and 2016, and to combine The nationwide air and space remote sensing (GIS) data systematically examines the impact of urban development on rural non-agricultural employment and income structure, and analyzes the factors that promote or hinder farmers' participation in non-agricultural employment in the process of urbanization.

This topic is intended to carry out research work in the following aspects:

Describe the status and trends of urbanization, agricultural production, and rural labor employment and income in various regions of China. Using the China Family Panel Studies (CFPS), China National Rural Survey (CNRS) and China Rural Development Survey (CRDS) data, the agricultural production model, especially rural employment and income changes, from time to time and across A systematic description of the regional perspective, analysis of its development status, trends and regional characteristics.

It measures the trend and characteristics of urbanization and cross-regional development in China since the reform and opening up, and its gravitational impact on rural development and rural employment. Based on the use of national space remote sensing (GIS) data and NASA's nightlight data to quantitatively measure the state of urban development above the scale; use direct distance and spatial distance to calculate the direct and indirect gravitational impact of cities on rural areas; systemic measures And analyze the changing trends and characteristics of the degree of urban development (ie, urban gravity) with urban development above the scale.

Quantitative analysis of the relationship between urbanization and farmers' production patterns, farmers' non-agricultural employment decisions, and farmers' income. Using regression analysis tools to study the direct and indirect effects of urban gravity on the transformation of agricultural production mode, rural labor non-agricultural employment decision-making and income level; decomposition of urban gravity and rural labor structure, analysis of urbanization on rural labor market and rural labor employment and The channels of income impact; decompose the rural employment methods and analyze the differences in the impact of urbanization on different types of employment.