## 3 Index System Screening
### Finalizing the Index System  
#### 3.2.1 Questionnaire Survey  
The questionnaire was designed to test the preliminary indicators of the RCI development level, in particular from the angle of reasonability and operability. The questionnaires consist of twenty-five indicators with a 5-point Likert scale (1--can be ignored or not important; 2--somewhat important; 3--important; 4--very important; and 5--extremely important). Six-hundred survey questionnaires were distributed to personnel in construction companies as well as to government regulators of construction industry. In the first part of the questionnaire, respondents were asked to answer questions about their job title and years of construction industrialization project experience. In the second part, they were asked to make their own judgments on the indicators of RCI development level according to experience. This survey was conducted from September to November 2015. Finally, 152 completed responses were received. The respondent rate was 25.3%, consistent with the criterion of 20-30% for questionnaire surveys in engineering management studies [41]. Table 4 presents the profile of the data collected via the questionnaires.  
\begin{table}
\begin{tabular}{c c c c} \hline \hline
**Respondents’ Characteristics** & **Description** & \(N\) & \% \\ \hline \multirow{3}{*}{Construction companies (\(N=67\))} & Senior manager & 35 & 52.2 \\  & Project manager & 21 & 31.3 \\  & Project engineer & 11 & 16.5 \\ \hline \multirow{3}{*}{Government regulators (\(N=85\))} & Leader & 62 & 72.9 \\  & Staff & 23 & 27.1 \\ \hline \multirow{3}{*}{Years of experience (\(N=152\))} & \textless{5} & 19 & 12.5 \\  & 5–9 & 31 & 20.4 \\ \cline{1-1}  & 10–20 & 74 & 48.7 \\ \cline{1-1}  & \textgreater{}20 & 28 & 18.4 \\ \hline \multirow{3}{*}{Regions (\(N=152\))} & Jiangsu Province & 91 & 59.9 \\ \cline{1-1}  & Zhejiang Province & 17 & 11.2 \\ \cline{1-1}  & Shanghai & 14 & 9.2 \\ \cline{1-1}  & Others & 30 & 19.7 \\ \hline \hline \end{tabular}
\end{table}
Table 4: Profile of the data collected from the questionnaires.  
\begin{table}
\begin{tabular}{c c c} \hline \hline
**Target Layer** & **Dimension Layer** & **Index Layer** \\ \hline \multirow{6}{*}{Regional construction industrialization development level} & \multirow{3}{*}{\
\begin{tabular}{c} Technical dimension (A1) \\ \end{tabular} } & Application of modular design (A11); Application of standardized products (A12); Application of prefabricated part (A13); Proportion of finished \\  & & housing (A14); Application of information technology (A15); Ratio of new \\  & & buildings assemblage (A16); Application of “four new techniques” (A17); 3D printing technology (A18). \\ \cline{2-3}  & Economic & Labor productivity (A21); Regional per capita GDP (A22); Building \\  & \multirow{3}{*}{
\begin{tabular}{c} Economic materials prices index (A23); The construction industry output value’ share \\ of GDP (A24); Investment in fixed assets of construction and installation \\ engineering (A25). \\ \end{tabular} } \\  & & Application of clean energy (A31); The saving rate of building energy \\  & & consumption (A32); Number of green buildings (A33); The utilization of \\  & & land resources (A34). \\ \cline{2-3}  & Enterprise & Number of regional construction company (A41); Number of the national \\  & & industrial bases (A42); The value of newly signed contracts (A43); Number \\  & & of the employees in the regional construction industry (A44). \\ \cline{2-3}  & Development & The rate of urbanization (A51); Market competition intensity (A52); \\  & & Support rate of the masses (A53); Regional per capita housing area (A54). \\ \hline \hline \end{tabular}
\end{table}
Table 3: Preliminary index system of development level evaluation.