## 6 Conclusions  
Since the residential location environment and regional characteristics are closely related, it is necessary to make an effort to understand the vacant houses that occur \begin{table}
\begin{tabular}{c c c} \hline \hline
**Classification** & **Variables** & **Spatial Error Regression Model (SEM)** \\ \hline \multirow{6}{*}{Characteristics of population demographic} & Population & \(-0.005\) \\ \cline{2-3}  & Population of the elderly over 65 & \(0.049\)*** \\ \cline{2-3}  & Number of people receiving the National & \(0.044\)*** \\ \cline{2-3}  & Basic Living Security Allowance & \(0.044\)*** \\ \cline{2-3}  & Net migration & \(-0.011\) \\ \cline{2-3}  & Standardized mortality ratio & \(0.383\)* \\ \hline \multirow{6}{*}{Characteristics of industry and economy} & Number of businesses & \(-0.042\)*** \\ \cline{2-3}  & Number of employees & \(-0.002\) \\ \cline{2-3}  & Fluctuation rate of land price & \(-8.971\)* \\ \cline{1-1} \cline{2-3}  & Housing supply ratio & \(-0.001\) \\ \cline{1-1} \cline{2-3}  & Total in-migration & \(0.029\)*** \\ \cline{1-1} \cline{2-3}  & Total out-migration & \(1.132\)*** \\ \hline \hline \end{tabular} Note: *** \(p<0.001\), *** \(p<0.01\), * \(p<0.05\).  
\end{table} 
Table 4: _Cont._naturally in the process of idle housing in the local context. Against this background, this study looked at the effect of regional characteristics on the occurrence of abandoned houses from various angles, focusing on the cause of the occurrence of abandoned houses in Gyeongsangnam-do. First, the spatial error model showed a better goodness of fit through spatial effect. This indicated that the distribution and occurrence of housing abandonment had spatial correlation, forming spatial clusters with similar areas and becoming impacted by the factors influencing housing abandonment. Therefore, it seems necessary to take into account regional characteristics in enacting additional ordinances and implementing management policies in areas where abandoned houses are concentrated. Second, the physical and environmental factors that this study investigated in depth were found to have an impact on the increase of housing abandonment. To be specific, we found that housing abandonment was very likely to occur with houses that were located in areas with poor environmental conditions or poor accessibility, such as in the vicinity of rivers and wastewater treatment facilities, near boundaries of administrative divisions, and at the boundaries of rivers. As for housing abandonment in the areas with poor environmental and topographic conditions, it is imperative to establish measures to demolish them, except for redeemable cases for redevelopment or residential purposes through remodeling, reconstruction, or expansion. Currently, due to the status of abandoned houses that constitute private property and the infringement of private property, it is not easy to demolish or remodel the abandoned houses that wreak havoc on the neighboring area. Abandoned houses that negatively affect the surrounding area should be turned into public lots or maintained to prevent them from diminishing the landscape and land value. Based on this, local governments need to not only decide the order of priority for maintaining abandoned houses based on wide and diverse perspectives, but also establish detailed policies and strategic plans. A number of studies have confirmed the following as methods to support the activation of abandoned houses. First, establishment of a field-based survey and information-sharing system; second, establishment of an abandoned house maintenance plan and provision of a support system; third, the promotion and spread of pilot projects related to abandoned house maintenance; fourth, policies related to laws and systems, such as establishing a system foundation for abandoned houses [23; 38; 39]. Third, with regard to demographic, industrial, and economic factors, we found that the houses in areas with a large elderly population were likely to be abandoned.