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Research Article

Understanding policy evolution using institutional grammar: net metering policies in the United States

ORCID Icon, ORCID Icon, ORCID Icon & ORCID Icon
Received 16 Nov 2023, Accepted 13 Mar 2024, Published online: 22 Apr 2024

Figures & data

Table 1. Selection criteria and cases.

Table 2. Coding example from Illinois.

Figure 1. Coding approach.

Figure 1. Coding approach.

Table 3. Syntactic elements calibrated in constitutive rules.

Table 4. Syntactic elements calibrated in regulative rules.

Figure 2. Change in policy extent over time.

Figure 2. Change in policy extent over time.

Figure 3. Policy maintenance, additions, and termination in words over time.

Figure 3. Policy maintenance, additions, and termination in words over time.

Figure 4. Constitutive and regulative Maintenance, additions, termination, and calibration over time.

Figure 4. Constitutive and regulative Maintenance, additions, termination, and calibration over time.

Figure 5. Rule type maintenance, additions, termination, and calibration over time.

Figure 5. Rule type maintenance, additions, termination, and calibration over time.

Table A1. Timing and total count of policy amendment for each state.

Table A2. Descriptive statistics of additions, terminations, and calibrations across states.

The counts above represent the changes observed in the policies and do not account for maintained statements. Total identifies the total number of statements that fall into the respective category across all amendments for each state; mean and St. Dev. represent the mean and standard deviation for the change observed in each amendment.

Table A3. Examples of constitutive syntactic elements.

Table A4. Examples of regulative syntactic elements.