Do large-scale agricultural entities achieve higher livelihood levels and better environmental outcomes than small households? Evidence from rural China.

There is an ongoing debate about the type or scale of agriculture that should be most encouraged. This study explores the differences in livelihood levels and outcomes between new agricultural business entities (NABEs) and traditional small households. We applied the analytical tools of a sustainable livelihood framework and a multiple linear regression model to describe the determinants of livelihood outcomes of 105 NABEs and 119 traditional small households in two typical areas around the Sichuan Basin in China.

Moderate operation scales of agricultural land under the greenhouse and open-field production modes based on DEA model in mountainous areas of southwest China.

The identification of the moderate scale of agricultural land was recognized as one of the key measures promoting sustainable agriculture development. However, due to the research gap in mountainous areas, new agricultural business entities (NABE) in these areas usually either refer to the plain area or simply pursue large scale, resulting in low production efficiency and even posing a threat to their sustainable survival. In this study, the Data Envelopment Analysis (DEA) model and Tobit regression model tools were employed to quantitatively reveal the moderate scale and key driving factors of agricultural land under the scale operation modes of greenhouse and open-field types.

Defining Household Typologies Based on Cropland Use Behaviors for Rural Human-Environment Systems Simulation Research: A Case Study in Southwest China.

The dynamics of rural human-environment systems in developing countries have increasingly been attracting attention. Agent-based modeling (ABM) is a valuable simulation tool for detecting complex feedback loops in rural human-environment systems with a 'bottom-up' approach. However, such models require the prerequisite analysis of household typology to simulate households' decision-making process, where a gap exists between having accurate classification criteria and a simplified modeling framework.