In the 1990s and 2000s, soybean farming grew sharply, particularly in states located in Brazil’s mid-west region. To curb deforestation, the Federal Government implemented command and control policies and, at the same time, soy-buying companies and Civil Society Organizations implemented the Soy Moratorium. This paper focused on the major role of these initiatives in decreasing soybean farming in areas deforested after 2006 and their importance in achieving this result. We considered rich database deforestation, and soybean planted area based on highly detailed remote sensing images, combined with explanatory variables of different sources, forming a panel data of 287 municipalities over 8 years. Spatial panel data models are implemented to avoid any spatial correlation problems and to analyze relationships through regional units and time. The results confirm that lower deforestation rates in the biome laid the foundation for reducing soybean farming in the Amazon biome. However, since 2008, when the Soy Moratorium was launched, there was a structural decline in this relationship that was decisive for a decoupling of soybean farming from deforestation. Therefore, government programs to reduce deforestation made room for a new environment for agricultural expansion in line with Brazilian law and environmental commitments. The Soy Moratorium reinforced this new order, and this production chain became a case study on public and private governance, given its importance in reducing soybean farming in deforested areas after the cut-off date. These public and private effects stress the importance of coordinated actions to achieve efficient results, especially in a large social and environmentally complex region as the Brazilian Amazon, to halt biodiversity degradation and increase participation in value added markets.

在1990年代和2000年代，大豆种植急剧增长，特别是在巴西中西部地区的州。为了遏制森林砍伐，联邦政府实施了命令和控制政策，与此同时，大豆购买公司和民间社会组织也实施了大豆禁令。本文着重介绍了这些举措在减少2006年后森林砍伐地区的大豆种植中的主要作用及其在实现这一结果中的重要性。我们考虑了丰富的数据库森林砍伐和基于高度详细的遥感图像的大豆种植面积，并结合了不同来源的解释变量，形成了8年中287个城市的面板数据。实施空间面板数据模型是为了避免任何空间相关性问题，并通过区域单位和时间来分析关系。结果证实，该生物群落中较低的森林砍伐率为减少亚马逊生物群落中的大豆种植奠定了基础。但是，自从2008年大豆禁令启动以来，这种关系出现了结构性下降，这对大豆种植与森林砍伐之间的脱钩具有决定性的作用。因此，根据巴西法律和环境承诺，政府减少森林砍伐的计划为农业扩张的新环境创造了空间。大豆禁令馆加强了这一新秩序，该生产链成为公共和私人治理的案例研究，因为它在截止日期之后对减少森林砍伐地区的大豆种植十分重要。这些公共和私人效应强调了采取协调行动以取得有效成果的重要性，