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on Project, Program and Portfolio Management |
| By: | Fatima Zahrae Tair; Youssef Samihi (UIT - Université Ibn Tofaïl) |
| Abstract: | Abstract: The transition to renewable energy (RE) is now a global necessity to mitigate climate change and reduce greenhouse gas emissions. Despite declining technology costs, private investment in RE projects remains constrained by multiple barriers. While previous research has identified numerous barriers to renewable energy investment, most studies have focused on individual categories of barriers or specific national contexts. Consequently, there is still limited evidence providing an integrated assessment of the relative importance of different barrier dimensions and comparing their prevalence between developed and developing countries. This study addresses this gap through a systematic synthesis of the existing literature. Using the PRISMA methodology, this study systematically reviews 26 peer-reviewed articles indexed in Scopus and Web of Science to identify and synthesize the barriers limiting private investment in renewable energy projects. The identified barriers were grouped into six dimensions: economic and financial, governance and institutional, market-related, geographical and ecological, technological, and sociocultural. The review shows that governance and institutional barriers are the most frequently reported, appearing in 77% of the selected studies (20/26), followed by economic and financial barriers (69%, 18/26), market-related barriers (62%, 16/26), sociocultural barriers (58%, 15/26), technological barriers (54%, 14/26), and geographical and ecological barriers (46%, 12/26). The comparison also highlights clear differences between economic contexts. Developing countries are primarily constrained by limited access to finance, weak institutional capacity, and restricted investment resources, whereas developed countries more frequently face challenges related to regulatory complexity, market design, and public acceptance of renewable energy projects. These findings suggest that policies aimed at mobilizing private investment should be tailored to national contexts by combining stable regulatory frameworks, targeted financial instruments, and stronger institutional support to accelerate the deployment of renewable energy. |
| Keywords: | Q20, P48, P28, PRISMA JEL Classification : O13, systematic review, barriers, private investment, renewable energy, renewable energy private investment barriers systematic review PRISMA JEL Classification : O13 P28 P48 Q20 |
| Date: | 2026 |
| URL: | https://d.repec.org/n?u=RePEc:hal:journl:hal-05773820 |
| By: | Francielly Hedler Staudt (UFSC - Universidade Federal de Santa Catarina = Federal University of Santa Catarina [Florianópolis]); Eliana de Jesus Lopes (UFSC - Universidade Federal de Santa Catarina = Federal University of Santa Catarina [Florianópolis]); Ana Carolina Corrêa (UFSC - Universidade Federal de Santa Catarina = Federal University of Santa Catarina [Florianópolis]); Marina Bouzon (UFSC - Universidade Federal de Santa Catarina = Federal University of Santa Catarina [Florianópolis]); Maria Di Mascolo (G-SCOP - Laboratoire des sciences pour la conception, l'optimisation et la production - CNRS - Centre National de la Recherche Scientifique - UGA - Université Grenoble Alpes - Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology - UGA - Université Grenoble Alpes, G-SCOP_DOME2S - Design, Engineering and Operation Management of Systems and Services - G-SCOP - Laboratoire des sciences pour la conception, l'optimisation et la production - CNRS - Centre National de la Recherche Scientifique - UGA - Université Grenoble Alpes - Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology - UGA - Université Grenoble Alpes) |
| Abstract: | Paper aims: To provide a framework for Supply Chain Control Tower (SCCT) implementation, based on socio-technical systems, innovation adoption, and organizational information processing theories. The framework outlines seven key implementation phases, associated with eleven challenges and fifteen critical success factors (CSF) Originality: There are few studies to support SCCT implementation. This work proposes the integration of challenges faced by large multinational companies with the recent literature to develop a framework for the accomplishment of Control Towers (CT). Research method: Convergent Mixed Methods research is deployed. A scoping literature review and the content analysis of qualitative interviews in three large multinational companies are gathered to perform the analyses. Main findings: There are gaps between theory and practice, particularly regarding objectives, capabilities, and organizational areas involved in SCCT projects. The study identifies information misalignment across departments as a primary driver of Control Tower adoption. Also, the end-to-end SC monitoring and machine learning tools often emerge as a secondary initiative within SCCT projects. Implications for theory and practice: SCCT definition, capabilities and implementation steps are presented. The proposed framework can be used by practitioners to assess their internal readiness, identify and mitigate common adoption barriers, and strategically align SCCT with the CSFs goals. |
| Keywords: | Logistics 4, Digital transformation, Technology implementation, Socio-technical systems, Control tower |
| Date: | 2026 |
| URL: | https://d.repec.org/n?u=RePEc:hal:journl:hal-05760594 |
| By: | Haonan Li (Graduate School of Economics, Waseda University); Yasuyuki Todo (Graduate School of Economics, Waseda University, and Research Institute of Economy, Trade and Industry) |
| Abstract: | Existing measures of geopolitical risk are country-level and assume that all investors face the same risk in a given destination. This paper constructs a directional, bilateral geopolitical risk index that captures how the domestic media of each source country report on geopolitical conflicts involving each destination country. Using GDELT news data, the index covers more than 200 source and destination countries at a monthly frequency. We combine the index with project-level data on greenfield FDI and product-level trade data, and exploit variation across source countries for the same destination and period while controlling for destination-specific shocks. Source countries whose media place greater emphasis on a destination's geopolitical risk subsequently announce more greenfield projects there: a one-standard-deviation increase in the index is associated with a 7% increase in new projects. This suggests that firms may read such coverage as a signal of future market-access frictions and localize production in advance. Consistent with this interpretation, the association is concentrated in projects serving the host market and in sectors that depend on local demand, and is absent among politically aligned country pairs. By contrast, higher risk coverage is followed by a short-lived decline in imports, driven by severe conflicts, while exports do not respond. |
| Keywords: | geopolitical risk, media, foreign direct investment, trade, GDELT |
| JEL: | F14 F21 F23 |
| Date: | 2026–10 |
| URL: | https://d.repec.org/n?u=RePEc:wap:wpaper:2615 |
| By: | Joseph E. Aldy; Michael W. Toffel; Alison J. Ong; Lavender Yang |
| Abstract: | Many large, publicly-traded companies adopt voluntary greenhouse gas emission reduction commitments in the presence of a fragmented public policy landscape. To explore the potential emission implications of such commitments, we develop a framework for understanding how firms’ voluntary emission targets interact with carbon pricing, regulatory mandates, subsidies, and heterogeneous policies across political jurisdictions. This analysis highlights the difficulty of distinguishing incremental voluntary emission abatement from policy-induced emission reductions. We introduce the Salata Institute Corporate Climate Targets Database, which we produced from public domain reports published by Russell 3000 firms over 2000-2024. The database documents the growth, form, scope, and sectoral distribution of voluntary greenhouse gas emission targets, including net-zero, carbon-neutral, carbon-reduction, energy-related, and qualitative commitments. Comparing this database with CDP, a non-profit organization formerly known as the Carbon Disclosure Project and the most common source of corporate emission targets used in the research literature, reveals substantial omissions in their survey-based data, especially in recent years. We show that voluntary corporate targets often mirror government-established goals and public policies, and some firms benchmark their internal carbon prices to existing carbon taxes and emission trading systems. The paper concludes by outlining empirical challenges and future research needs for evaluating the emission impacts of voluntary commitments. |
| JEL: | M48 Q54 Q58 |
| Date: | 2026–10 |
| URL: | https://d.repec.org/n?u=RePEc:nbr:nberwo:35869 |
| By: | Stijn Van Nieuwerburgh |
| Abstract: | Artificial intelligence is driving a large expansion in data center capacity, power infrastructure, and specialized computing equipment. We estimate that a 1 GW AI campus costs about $41 billion. A 188 GW U.S. buildout completed by 2032 would require total investment of nearly$9 trillion and amount to annual investment of 3.2 percent of GDP over 2025–2032. As hyperscaler capital expenditures outgrow internal cash flow, financing is shifting toward leases, joint ventures, project debt, private credit, securitization, and special-purpose vehicles. These structures expand funding capacity but also raise asset-level leverage, obscure contingent obligations, and expose investors to tenant concentration, technological obsolescence, execution delays, and uncertain residual values. |
| JEL: | E01 E22 G1 G31 R33 |
| Date: | 2026–10 |
| URL: | https://d.repec.org/n?u=RePEc:nbr:nberwo:35865 |