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The past four decades have witnessed unprecedented economic growth and rapidly rising food demand in China. This paper provides an introduction to readers with useful information summarising the development of China's agricultural sector and the transformation of its rural economy over the 40 years of economic reform. It is, however, impossible to cover all aspects of this recent and rich history in a single journal special issue. Nevertheless, we are of the view that these papers address the most fundamentally important and insightful topics including: land reform and rural development; technology progress and productivity growth; changing food consumption patterns; rural education and human capital accumulation; and poverty alleviation. [ABSTRACT FROM AUTHOR]

Rainfall fluctuations are the major threats caused by climate change. This paper analyses the impact of seasonal rainfall fluctuations on rural poverty using panel data for 992 counties, which are located in humid zone in the south of China from 2000 to 2018. The findings are as follows: (1) Rainfall fluctuations significantly affect rural poverty, specifically, increased rainfall significantly alleviates rural poverty in the dry season, but aggravates rural poverty in the rainy season. (2) The effect of rainfall fluctuations on rural poverty is significantly heterogeneous in different regions. (3) Rainfall fluctuations put low‐income areas at greater risk of returning to poverty. (4) The mechanism through which rainfall fluctuations affect rural poverty is agricultural production, and market regulation can mitigate the shock of rainfall fluctuations. Our research provides policy implications for developing countries to address the risks of poverty from climate change. [ABSTRACT FROM AUTHOR]

COVID-19 has caused major disruptions to agricultural supply chains around the world. Researchers and policy-makers are interested in identifying means to reduce the disruptive effects caused by the pandemic. We investigate the impacts of COVID-19 on the operation of e-commerce stores (in short, e-stores) specialising in agricultural inputs. The difference-in-differences method (DID) is employed to estimate the causal relationship between COVID-19 and online sales of agricultural inputs using data from 54,244 agricultural input e-stores registered in 118 prefecture-level cities across 15 provinces and hosted on two major Chinese e-commerce platforms. The results show that COVID-19 led to a substantial growth in monthly sales of agricultural input e-stores, and this growth of online sales varied across store scales and by types of agricultural inputs. In particular, e-stores selling seeds and seedlings experienced a larger growth in sales than stores selling agricultural machinery and implements, and the mid-and larger-scaled e-stores experienced more growth of sales than micro-and small-scaled e-stores. Further analysis reveals that the growth of online sales of agricultural inputs was driven mainly by an increase in the quantity of customer orders (QCO). The findings of this paper underscore the importance of e-commerce in ensuring the resilience of the agricultural supply chain during the pandemic period. [ABSTRACT FROM AUTHOR]

This paper explores the situation of women left behind in villages when men out-migrate for work and what it implies for gender relations in rural China. It is based on questionnaire survey data that covers 400 left-behind women and extensive interviews in 10 rural communities. It reveals how the women take on multiple family responsibilities including mainly family care and agricultural production, and how they maintain their marital relationships in the context of a long separation. The discussion argues that even though the women's unpaid work becomes visible due to the absence of men in family life, there is a reaffirmation and reinforcement of gender traditions; women are more solidified in the unpaid and low-paid field of work in this new era of rural social transition in China. Moreover, separated married life has made women more vulnerable. In the end, it points to the fact that rural women are experiencing a new and deeper form of exploitation of their labour. Thus they are among those paying a heavy price for the development in China. [ABSTRACT FROM AUTHOR]

An agricultural production function is estimated using a Chinese county-level dataset along with associated geographic information. County-specific output-input elasticities are computed using the geographically weighted regression (GWR) and mapped with the geographical information system (GIS). A comparison of the ordinary least squares and GWR estimates confirms that allowing spatial variation in the parameters improves model fit of the agricultural production function, and provides valuable insights into the relative importance of inputs in different regions. Moran's indices reveal the spatial dependence of output per unit of land, and four inputs across regions. Mappings of GWR estimates help to detect a few clusters of high output-input elasticities: for labour in the Northeast, North, Southwest and Northwest China, for land in the Central and Southwest, for mechanical power in the North, Northwest and coastal area of the East and South and for fertiliser in the East. The county-specific scale elasticities suggest constant return to scale is likely to hold in the Central, East, Southwest and South. [ABSTRACT FROM AUTHOR]

The overall aim of the present paper is to better understand the evolution of tubewell ownership in the North China Plain, especially focusing on the factors that determine ownership and its effect on production. Based on a random sample of 30 villages in three counties in the Hai River Basin, our results show that collectively owned tubewells have been gradually privatised. The analyses demonstrate that increasing water and land scarcity and policy intervention (mainly fiscal and financial subsidies for tubewell investment) leads to the observed shifts in tubewell ownership patterns. The results also show that the privatisation of tubewells has affected cropping patterns in the North China Plain. When villages shift towards private tubewells, farmers move into more water-sensitive and high-value crops. Privatisation, however, has no negative effect on crop productivity in the present sample. Importantly, the evolution of tubewell ownership in the villages studied does not accelerate the fall of the groundwater table. [ABSTRACT FROM AUTHOR]

Agricultural producer cooperatives are of great significance to the development of agricultural productivity and can provide improved economic welfare benefits to farmers. However, such organizations have not been well-developed in China. While China's new Cooperatives Law of 2007 has generated interest among scholars, very few empirical analyses have focused on the role of cooperatives in China's agricultural sector. The main objective of this study is to investigate the determinants of farmers' perception and their decision to participate in cooperatives, using a unique dataset from recently collected survey data of farming households in China's Jilin Province. The empirical results from probit and logit regression models suggest that educational attainment, risk comfort level, farm expansion, operational costs, geographic location and crop types are significant factors that influence producers' perception of cooperatives, as well as their participation behavior. [ABSTRACT FROM AUTHOR]

Land consolidation (LC) is regarded as a useful tool to improve agricultural production. Measuring the effect of LC on agricultural production (ELCAP) is helpful for the planning of LC activities. In the past, it is difficult to measure ELCAP at regional level due to the lack of field observation, the change of crop planting structure, and high cost of sample collection. Satellite data have large coverage and high spatiotemporal resolution for vegetation observation, which can provide a new idea for estimating ELCAP at regional level. This study aims to build a novel assessment framework to quantitatively investigate ELCAP by developing several satellite‐based metrics. In addition, this study also explored the characteristics of ELCAP using the method of spatial autocorrelation and the geographical detector method in 1,281 LC areas in China. Our results show that agricultural productivity in more than 90% of total LC areas shows an increasing trend during 2001–2016. LC could play the positive but limited effects on agricultural production, and its productivity‐boosting effect (64.87% of total LC areas) is greater than its stability‐improving effect (46.53% of total LC areas). The spatial agglomeration of ELCAP is weak (Moran's I < 0.06), which may be resulted from the differences in field conditions and natural‐social–economic situations across LC areas. The interaction between several factors has a greater effect on the ELCAP than each of these factors. Methodology in this study provides a new and useful framework for evaluating ELCAP, and results can be used to guide the planning of LC activities. [ABSTRACT FROM AUTHOR]