The best econometric strategy for an empirical research paper on renewable energy, concentrated on Solar and Geothermal.

Question

I want to assess the impact of commissioning solar plants of 20 MW or more in US counties on revenue and expenditure.

Answer 1

For estimating the fiscal impact of commissioning utility-scale solar plants, I would consider a staggered difference-in-differences approach with an event-study design. This would allow you to compare county revenues and expenditures before and after commissioning against suitable comparison counties, while accounting for differences in commissioning dates.

You would also want to consider construction-period effects, local tax incentives, and whether revenues accrue to county governments or other taxing jurisdictions.

One possible extension involves Productive Value–Productive Power (PV-PP), a mathematical framework I’ve developed for analyzing productive systems.

Conventional econometrics can estimate the immediate fiscal effects. PV-PP offers an additional perspective: how does the investment change a county’s longer-term productive capacity?

For example, increased tax revenue might improve infrastructure, workforce capabilities, fiscal resilience, or future economic opportunities. Conversely, an investment could increase current revenues while creating dependencies or reducing alternative productive uses of local resources.

PV-PP distinguishes value received from changes in the capacity to generate and sustain future value. It could provide a useful framework for interpreting these broader consequences once the initial econometric results are established.

Framework overview: https://amundsenlance.github.io/pvpp-framework/

Comments

Hi Lance,

This is an excellent reply. I am a little bit wondering about the possibility of  extension involves Productive Value–Productive Power (PV-PP), a mathematical framework  that you’ve developed for analyzing productive systems.  How can I know this? It's very interesting, in this case my outcome variables will be additional one (Productive Value). Right?

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Hi Iqbal,

I’m glad you found the idea interesting.

One clarification: Productive Value (PV) would not necessarily be an additional outcome variable. The framework distinguishes Productive Value—the value realized through productive interactions—from Productive Power (PP), which concerns the capacity to generate and sustain future value.

For your solar-plant study, I would retain county revenues and expenditures as your primary outcome variables.

A PV-PP extension could then examine whether commissioning a solar plant changes the county’s underlying productive capacity. Possible additional outcomes might include infrastructure development, workforce capabilities, economic diversification, and fiscal resilience.

For example, increased tax revenue represents an immediate fiscal benefit, but whether that revenue strengthens the county’s future productive capacity is a separate question.

Importantly, PV-PP is a theoretical framework, not a ready-made econometric estimator or a validated county-level index. We would need to define measurable indicators and test them empirically.

I’ve recently published a book, Selfish Cooperation, which presents the broader theory underlying PV-PP. It examines productive systems, value exchange, capabilities, and their evolution through interactions across economic and social settings. You may find some useful ideas there for extending your research.

Selfish Cooperation (book):
https://zenodo.org/records/23828040

PV-PP Framework overview:
https://amundsenlance.github.io/pvpp-framework/

I’d be interested in discussing how these concepts might be operationalized for your research, particularly after you’ve established your initial econometric model.

Best regards,
Lance