Beyond the Nameplate: What Renewable Capacity Targets Do and Do Not Buy in Developing Economies

Installed renewable capacity is the leading indicator of energy-transition efforts, yet its conversion into realized generation is rarely estimated directly. This study estimates that rate in a panel of 118 developing and emerging economies over 2001–2023, treating proportional conversion, a unit coefficient, as a testable benchmark. In the preferred two-way fixed-effects specification, non-hydro renewable generation per person rises with one-year-lagged capacity per person, both in log(1 + x) form, at a rate of 1.042 (standard error, SE = 0.029), statistically indistinguishable from proportional conversion (test of unit coefficient, p = 0.148); the pure log–log elasticity among positive observations is lower, 0.845 (SE = 0.039). The estimate is stable under country-specific trends (0.924, SE = 0.046) and fixed technology shares (1.025, SE = 0.029), and a distributed lag in exact first differences shows that generation responds mainly to the current and previous year’s capacity changes, with a cumulative response of 1.070 (SE = 0.044). Higher lagged capacity is associated with a 3.630 percentage-point rise in the renewable output share (SE = 0.813) and a 3.258 percentage-point fall in the fossil share (SE = 0.771). Governance interactions are small and fragile under multiple-testing correction, and Poisson and pure log–log checks address the units-sensitivity of log(1 + x) estimates. Conditional on lag structure and functional form, deployment statistics are informative about realized generation and fossil substitution, whereas broader institutional and development gains remain unconfirmed.

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Publication Details

Journal
Econometrics
Published
2026-10-13
DOI
https://doi.org/10.3390/econometrics14040051
Primary Topic
Energy, Environment, Economic Growth
Type
article
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article

Beyond the Nameplate: What Renewable Capacity Targets Do and Do Not Buy in Developing Economies

Muna Husain
Econometrics
Energy, Environment, Economic Growth
article

Beyond the Nameplate: What Renewable Capacity Targets Do and Do Not Buy in Developing Economies

Muna Husain
article en

Abstract

Installed renewable capacity is the leading indicator of energy-transition efforts, yet its conversion into realized generation is rarely estimated directly. This study estimates that rate in a panel of 118 developing and emerging economies over 2001–2023, treating proportional conversion, a unit coefficient, as a testable benchmark. In the preferred two-way fixed-effects specification, non-hydro renewable generation per person rises with one-year-lagged capacity per person, both in log(1 + x) form, at a rate of 1.042 (standard error, SE = 0.029), statistically indistinguishable from proportional conversion (test of unit coefficient, p = 0.148); the pure log–log elasticity among positive observations is lower, 0.845 (SE = 0.039). The estimate is stable under country-specific trends (0.924, SE = 0.046) and fixed technology shares (1.025, SE = 0.029), and a distributed lag in exact first differences shows that generation responds mainly to the current and previous year’s capacity changes, with a cumulative response of 1.070 (SE = 0.044). Higher lagged capacity is associated with a 3.630 percentage-point rise in the renewable output share (SE = 0.813) and a 3.258 percentage-point fall in the fossil share (SE = 0.771). Governance interactions are small and fragile under multiple-testing correction, and Poisson and pure log–log checks address the units-sensitivity of log(1 + x) estimates. Conditional on lag structure and functional form, deployment statistics are informative about realized generation and fossil substitution, whereas broader institutional and development gains remain unconfirmed.

EconometricsVol. 14(4)
Kuwait University (KW)
Openalex Percentile: Top 8%
Energy, Environment, Economic Growth
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