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This paper empirically assesses energy efficiency (EE) adoption among firms by examining the factors that drive investment in EE in the Onitsha plastic cluster, South-East, Nigeria.

Self-administered questionnaires were delivered to the selected enterprises. A total of 450 questionnaires were administered of which 423 were certified valid and used for the analysis. A Heckit model was developed and estimated.

Gender, firm size, Joneses effect and expected cost reduction benefits are the significant determinants of EE investment. However, firm structure, government incentives, regulatory requirements and reduction of carbon emission are insignificant drivers of EE investment decisions in the Onitsha plastic cluster.

This paper presents a foremost attempt at analysing the determinants of energy investment in a cluster in Nigeria.

This study aims to assess financial development and debt status impact on energy efficiency in Nigeria as a developing economy.

This study combined the autoregressive distributed lag (ARDL), fully modified ordinary least squares and canonical cointegration regression analytical methods to estimate the parameters for energy efficiency policy recommendations. Secondary data between 1990 and 2020 were used for the analysis.

The result confirms the long-run nexus between energy efficiency, financial development and total debt stock. Furthermore, the ARDL estimates for this study’s key variables show that financial development promotes energy efficiency in the short run but hinders long-run energy efficiency. Total debt stock limits energy efficiency in Nigeria in short- and long-run periods.

The limitation of this study is that the scope is limited to Nigeria as a developing economy. The need to support energy efficiency projects is a global call requiring cross-country analysis. Despite this study’s focus on Nigeria, it provides useful insights that can guide energy efficiency policy through the financial sector and debt management.

The financial sector must ensure the availability of long-term credit facilities to clean energy investors. The government must maintain a sustainable debt profile to pave the way for capital expenditure on clean energy projects that promote energy efficiency.

The environmental consequences of energy intensity are being felt globally, with the developing countries most vulnerable. The cheapest way to curb these consequences is to promote energy efficiency to reduce the disastrous effect. Driving energy efficiency requires investment in energy-efficient technology but the challenge for developing economies, i.e. Nigeria’s funding, remains challenging amid a blotted debt profile. This becomes crucial to investigate how financial sector development and debt management can accelerate energy-efficient investments in Nigeria.

This study presents an economic investigation of the entrepreneurship practise of the Igbos of South-Eastern Nigeria. It is intended to deepen entrepreneurial development and employment generation in the country. This study also provides empirical support to situate the Igbo entrepreneurship model (IEM) among existing entrepreneurship literature, particularly for research in developing countries.

The study adopts a quantitative approach to examine 1,187 responses carefully drawn from the Onitsha and Nnewi business clusters in Anambra state. In addition to descriptive demonstrations, the Propensity Score Matching (PSM) technique is employed to estimate the effects of treatment on the treated by pairing treatment and control units with similar attributes on the propensity score and other likely covariates. Specifically, the PSM is used to perform a counterfactual analysis of the effect of the entrepreneurship model on business outcomes by examining participants and non-participants in the IEM.

The key findings of the study indicate that entrepreneurs who participated in the IEM have higher business survival rate, business growth rate and access to trade and informal credit, while non-IEM entrepreneurs have better access to formal credit source than the IEM graduates.

Generalisation of results can be limited since the study is based on responses of samples drawn from two clusters (Onitsha and Nnewi) in Anambra State, South-East Nigeria. The clusters, though situated in Igbo land, are not the only Igbo business locations in the South-East region and the rest of the country. However, with the larger number of the respondents and synchronisation with existing literature in this subject area guarantee the robustness and applicability of the study findings.

The novelty of this study rests on its pioneering attempt to empirically examine how the IEM can drive entrepreneurial development in Nigeria. The authors also distil lessons for evidenced-based replication of the model to provide a sustainable employment channel for the country. The study posits, among other things, that the IEM can be a veritable approach for enterprise development and youth employment in Nigeria.

Given the ever-growing fiscal commitments of Nigeria and her chequered history of electricity generation and distribution, the fortunes of the energy sector in the country have been affected by the prevalence of energy poverty. Government policies such as public capital expenditure (PCE) present a crucial option for reducing energy poverty in Nigeria, providing the purpose of this study.

To investigate the relationship between government capital spending and five distinct energy poverty proxies, this research applies the Bayer–Hanck cointegration system and the auto-regressive distributed lag (ARDL) bound test.

The findings indicate that public capital spending in Nigeria worsens energy poverty by reducing access to electricity, urban electrification, renewable energy consumption and renewable electricity generation, with a positive but insignificant influence on rural electrification.

This inquiry presents a pioneering investigation of the nexus between PCE and energy poverty in Nigeria. Also, aside from the variables of energy poverty adopted by existing studies, this study incorporates renewable energy consumption and renewable electricity output with implications for energy poverty and sustainable development.