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This paper aims to discuss the roles of social protection in reducing and facilitating climate-induced migration. Social protection gained attention in the international climate negotiations with the establishment of the Warsaw International Mechanism for Loss and Damage. Yet, its potential to address migration, considered as a key issue in the loss and damage debate, has not been sufficiently explored. This paper aims at identifying key characteristics of social protection schemes which could effectively address climate-induced migration and attempts to derive recommendations for policy design.

Based on the existing literature, the paper links empirical evidence on the effects of social protection to climate-related drivers of migration and the needs of vulnerable populations. This approach allows conceptually identifying characteristics of effective social protection policies.

Findings indicate that social protection can be part of a proactive approach to managing climate-induced migration both in rural and urban areas. In particular, public work programmes offer solutions to different migration outcomes, from no to permanent migration. Benefits are achieved when programmes explicitly integrate climate change impacts into their design. Social protection can provide temporary support to facilitate migration, in situ adaptation or integration and adaptation in destination areas. It is no substitution for but can help trigger sustainable adaptation solutions.

The paper helps close research gaps regarding the potential roles and channels of social protection for addressing and facilitating climate-induced migration and providing public support in destination, mostly in urban areas.

The purpose of this paper is to present a high accuracy path following method for low-cost fixed-wing UAVs.

The original vector field (VF) algorithm is condensed. A spatial integration mechanism is added to the existing VF and nonlinear guidance law, aiming to decrease steady-state cross-track-error and cope with long-term disturbance.

Numerical simulations show the proposed method could diminish steady-state cross-track-error effectively. Test flights show the proposed method is applicable on low-cost fixed-wing UAVs.

The path following accuracy shown in simulations and test flights indicates the proposed method could be deployed in scenarios including inflight rendezvous, formation, trafficway take-off and landing.

This paper provides an improved high-accuracy path following method for low-cost fixed-wing UAVs.

Employer branding is a topic that has gained relevance in the organisational world. Currently, organisations need to differentiate themselves, and one of their biggest challenges is the search and retention of talent. One of the factors that have been associated with attracting talent is employer branding. However, studies that explore the relationship between this, corporate reputation and the intention to apply for a job are scarce. As such, this study aims to analyse the mediating role of corporate reputation in the relationship between employer branding and the intention to apply for a job offer.

To achieve the goals, data were collected from 225 Portuguese adults. The response rate was 75%. Based on a survey, respondents reported their perceptions of employer branding of a specific organisation, and they rated the organisation’s reputation and their intention to apply to that organisation.

The results showed that employer branding (interest value; social value; economic value; development value; application value) positively influenced an organisation’s corporate reputation, which, in turn, increased an individual’s intention to apply for an employment offer in that organisation.

The present study is a contribution to the literature on employer branding, as it reinforced the importance that employer branding and corporate reputation play in the intention of applying for a job offer.

The purpose of this paper is to focus on measuring financial inclusion (FI) level for the developing countries.

By using a two-stage principal component analysis method, we construct a composite FI index to measure the degree of FI. Data are collected through secondary sources including World Bank and IMF reports for the period 2012–2018.

We have built an overall FI index which is considered as a comprehensive measure of FI, a useful tool for policymaking and policy evaluation. Comparison with other studies shows that our FI index corroborates with them.

Building a good FI measurement method is important for developing countries. It helps to assess and compare the level of FI of each country and between countries together, made easily and accurately.

This study emphasizes the important role of FI in the economy. From there, an FI solution is integrated into the construction and calculation of its impact on other factors. This will help policymakers to take effective measures to increase FI levels to achieve sustainable economic growth.

The purpose of this paper is to evaluate the interest rate (IR) sensitivity of output and prices in developing economies with different levels of financial inclusion (FI) for the period 2007Q1–2017Q4.

By using the PCA method to construct an FI index for each country, the author divides the sample into two groups (high and low FI levels). Then, with panel vector autoregressions on per group estimated to assess the strength of the impulse response of output and prices to IR shock.

The findings show that the impact of an IR shock on output and inflation is greater in economies with a higher degree of FI.

The finding indicates the link between FI and the effectiveness of IRs as a monetary policy tool, thereby helping Central banks to have a clearer goal of FI to implement their monetary policy.

This study emphasizes the important role of FI in the economy. From there, an FI solution is integrated into the construction and calculation of its impact on monetary policy, improving the efficiency of monetary policy transmission, contributing to price stability and sustainable growth.

Forestry carbon sink (FCS) is not only an important measure to deal with the current global climate change but also an effective way to build an ecological civilization. As an important form of implementation of FCS, the afforestation and reforestation projects under the clean development mechanism (CDM A/R) have important functions such as ecological protection and economic growth. This paper aims to evaluate the short-term and long-term impact of CDM on the county economy and its impact mechanism.

This paper first uses propensity score matching to match the county (treatment group). Second, this paper uses difference in difference to estimate the net effect of CDM A/R project on county economic development to reduce estimation error. Finally, the impact mechanism of implementing CDM A/R project on county economic development was tested.

The CDM A/R project has significantly promoted the development of real gross domestic product (GDP) and per capita real GDP in the region. Because of the long project cycle, this promotion is not immediate in the short term and has an obvious hysteresis effect. The longer the implementation time, the greater the promotion of the local economy will develop. The results are robust after the robustness test that uses the single-difference method. The CDM A/R project has promoted local economic growth by optimizing the local industrial structure, increasing the regional capital stock and raising the regional government’s fiscal revenue and expenditure.

This paper provides a critical overview of the relationship between clean development mechanism and local economic development.