## 1 Introduction  
With the highlight of a few questions, such as the acceleration of the economic globalization process and increasing agricultural investment pace, conducting a full and systematic analysis of the host country's agricultural climate has become the first and foremost issue in the process of outbound investment [1]. The concept of \"investment climate\" was first proposed in 1968, which marked the rise of investment climate research to a theoretical level. Since then, relevant research has focused on applied evaluation, but few specific studies have been conducted on agricultural investment climate alone. World Bank defined investment climate as a set of location-specific components forming the openings and motivating climate for firms to grow [2]. According to relevant literature, it has been demonstrated that the investment climate plays a vital role in the growth of both economy and enterprise [3; 4; 5; 6; 7]. [PERSON] and [PERSON] analyzed the agricultural investment climate components in terms of political stability, legal barriers, market opportunities, economic development achievements, physical barriers, cultural integration, geographical and cultural gaps, and constructed a comprehensive evaluation index system [8]. [PERSON] divided the agricultural risk index system into seven significant risks: institutional risk, production risk, market risk, financing risk, currency risk, legal risk, and personal risk [9]. Relevant literature shows that the industrial climate's systematic analysis of the host country is mostly based on the PEST theory proposed by [PERSON] and [PERSON], which mainly focuses on the external climate. The macro-climate refers to the various macro factors that may affect the regular operation of an industry or an enterprise, which are generally considered from four aspects: political (P), economic (E), social (S), and technological (T) [10; 11; 12]. The macro influencing factors are transferred with different targets, which need to be \"customized\". The literature also provides a consensus that a favorable investment climate could benefit an enterprise's growth. On the contrary, an adverse investment climate endangers the enterprise's growth [13; 14]. Due to the influence of intricate geopolitical patterns of CEE countries [15], agricultural enterprises may encounter unexpected compound risks in the process of direct investment in this area. Therefore, this theory is conducive for enterprises to understand the nature of the outbound climate and evaluate the sustainability of CEE countries' agricultural investment climate. Over an extended period, due to the uncertainty and ambiguity of regional investment climatical factors, scholars mainly adopt the principal component analysis method [16; 17; 18], fuzzy comprehensive evaluation method [19; 20; 21], gray correlation [22], and other methods to research on investment climate evaluation [23; 24; 25]. However, the above methods have two major common problems: Firstly, these methods are static models, which obtain investment indexes by collecting and extracting a large amount of data and relevant information. Therefore, the model itself lacks the adaptability of information and memory functions. When the factors affecting the investment climate change, such methods are difficult to function, so their effectiveness is significantly reduced. In order to improve the evaluation's accuracy, the variables or parameters need to be adjusted based on variable data or information, or even need to reconstruct the evaluation model. On the other hand, this type of approach is highly subjective. The method is primarily influenced by the experts' knowledge or investors' subjective experience. The global investment climate is ever-changing, and the influencing factors are involved, making it challenging to ensure the accuracy and objectivity of every subjective decision.