This study examines the extent to which existing foreign direct investment (FDI) theories apply to Chinese investment in the Belt and Road Initiative (BRI) countries. This is important because existing explanations of Chinese outward FDI (OFDI) generally make scant reference to these theories. By using OFDI data for BRI countries between 2003 and 2017, we tested hypothesizes applicable to existing theories by using both pooled ordinary least squares (PLOS) and stochastic frontier analysis (SFA) methods. The results show that a large part of the existing theories apply to Chinese OFDI. Chinese OFDI is likely to choose countries with big market size, abundant natural resources, cheap unskilled labor, stable politics, good infrastructure, high trade cost and high investment cost. These positive findings notwithstanding, they do not invalidate the alternative factors cited by commentators which have not been subject to direct testing, which may require the use of qualitative analytical approaches.

Empirical evidence demonstrates that market-driven carbon trading scheme (ETS) is a crucial instrument for China to control environmental pollution. Based on the panel data of China’s 283 prefecture-level cities from 2006 to 2017, this research investigated the transmission mechanism, direct and indirect effects of ETS on carbon emission intensity (CEI) using difference-in-differences (DID) model, propensity-score-matched difference-in-differences (PSM-DID) model at national, regional, and local levels (cities with different industrial characteristics). The results demonstrated the mediating effects of total energy consumption, energy consumption structure, and industrial structure upgrading in the incentive role of ETS on CEI reduction. Moreover, ETS directly and effectively reduced CEI at the national level, while the spatial heterogenous effects were identified at regional and local levels, which emphasises the necessity and importance of unified carbon trading market establishment and classified governance.

Purpose: The objective of this paper is to investigate the impact of institutional quality, foreign direct investment (FDI) inflows and human capital development on Indonesia’s poverty rate.Design/methodology/approach: The quantile regression on data ranging from 1984 to 2019 was used to capture the relationship between the impact of the independent variables (FDI inflows, institutional quality and human capital development) on Indonesia’s poverty rate at different quantiles of the conditional distribution.Findings: The empirical results reveal that low-quantile institutional quality is detrimental to poverty eradication, whereas FDI inflows and human capital development are significant at higher quantiles of distribution. This implies that higher-value FDI and advanced human capital development are critical to lifting Indonesians out of poverty.Practical implications: Policymakers should prioritise strategies that advance human capital development, create an enticing investment climate that attracts high-value investments and improve institutional quality levels.Originality/value: This study contributes to the existing literature because, compared to previous studies that focussed on estimating the conditional mean of the explanatory variable on the poverty rate. It rather provides a more comprehensive understanding of the quantiles of interest of FDI inflows and institutional quality on the Indonesian poverty rate, allowing for more targeted policies.Peer review: The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-09-2023-0733