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This paper aims to present the Difference-in-Differences (DiD) method in an accessible language to a broad research audience from a variety of management-related fields.

The paper describes the DiD method, starting with an intuitive explanation, goes through the main assumptions and the regression specification and covers the use of several robustness methods. Recurrent examples from the literature are used to illustrate the different concepts.

By providing an overview of the method, the authors cover the main issues involved when conducting DiD studies, including the fundamentals as well as some recent developments.

The paper can hopefully be of value to a broad range of management scholars interested in applying impact evaluation methods.

The research objective of this paper is to investigate the direct and indirect impacts of green finance on agricultural carbon total factor productivity (ACTFP) within the framework of the carbon peaking and carbon neutrality (dual carbon) goals, while also identifying the driving factors through an exponential decomposition of ACTFP, aiming to provide policy recommendations to enhance financial support for low-carbon agricultural development.

In this paper, the Global Malmquist Luenberger (GML) Index method was employed to analyze and decompose the ACTFP, while the direct and spillover effects of China’s green finance pilot policy (GFPP) on ACTFP were assessed using the difference-in-differences (DID) method and the spatial differences-in-differences (SDID) method, respectively.

After the implementation of the GFPP, the ACTFP in the pilot area has experienced significant improvement, with the enhancement of technical efficiency serving as the main driving force. In addition, the GFPP exhibits a positive low-carbon spatial spillover effect, indicating it benefits ACTFP in both the pilot and adjacent areas.

Within the framework of the dual carbon goals, the paper highlights agriculture as a significant carbon emitter. ACTFP is assessed by considering the agricultural carbon emission factor as the sole non-desired output, and the impact of the GFPP on ACTFP is investigated through the DID method, thereby providing substantial validation of the hypotheses inferred from the mathematical model. Subsequently, the spillover effects of GFPP on ACTFP are analyzed in conjunction with the spatial econometric model.

This study aims to construct an evaluation system for farmers’ livelihood capital in minority areas and evaluate the impact of relocation in response to climate change on farmers’ livelihood capital.

According to the characteristics of Yunnan minority areas, the livelihood capital of farmers in minority areas is divided into natural, physical, financial, social, human and cultural capital. The improved livelihood capital evaluation system measures farmers’ livelihood capital from 2015 to 2021. The net impact of relocation on farmers’ livelihood capital was separated using propensity score matching and the difference-in-difference (PSM-DID) method.

The shortage of livelihood capital makes it difficult for farmers to resist climate change, and the negative impacts of climate change further aggravate their livelihood vulnerability and reduce their livelihood capital. Relocation has dramatically increased the livelihood capital of farmers living in areas with poor natural conditions by 15.67% and has enhanced their ability to cope with climate change and realise sustainable livelihoods.

An improved livelihood capital evaluation system is constructed to realise the future localisation and development of livelihood capital research. The PSM-DID method was used to overcome endogeneity problems and sample selection bias of the policy evaluation methods. This study provides new ideas for academic research and policy formulation by integrating climate change, poverty governance and sustainable livelihoods.

The purpose of this paper is to assess the impact of Literacy Boost Project Model implemented by World Vision on reading skills of early grade students in Ethiopia. It intended to examine whether the intervention contributed to improving students’ achievement in reading comprehension.

Difference in difference with propensity score matching impact estimation model was used in the study. Baseline and end line data collected by World Vision Ethiopia in four districts in Oromia region, where the project had been operational, were used for the research. A total of 1,418 students (685 control and 733 intervention) were selected using random sampling technique and assessed based on the core reading skill components.

The result of the analysis indicated significant improvement in the core reading skills of treated students. The ultimate outcome of reading comprehension skill from the previous evaluation was found inflated. Variables related to the home literacy environment and community activities were found significantly impacting the students reading achievement.

Policies and strategies intended to improve the quality of education, particularly the reading skills of early grade students, in the study area and scaling up the literacy boost project to areas with similar context, thus should give due attention to the variables related to the home literacy environment and community activities.

This study is important in providing valuable information on early grade education quality improvement interventions, especially to development practitioners and policymakers to make informed decisions regarding education sector reform and development in the study area.

Considering the substantial benefits derived from the use of Building Information Modeling (BIM) in construction projects, governments and its related sectors have introduced mandatory policies requiring the use of BIM. However, little is known about the impact of mandatory policies on BIM-based project performance. Therefore, the purpose of this paper is to provide a systematical understanding on the impact of policy interventions on the implementation practice of innovative technologies.

This paper utilizes the propensity score matching and difference in differences (PSM-DID) method to investigate the impact of policy interventions on BIM-based project performance. Using the panel data collected from 2015 to 2021 in the Hong Kong construction industry, this paper explores the impact of the first mandatory BIM policy on the BIM-based project performance of three key stakeholders.

The subjective BIM performance and BIM return on investment (ROI) have significantly improved after implementing the mandatory BIM policy. The promotion effect of mandatory BIM policy on BIM-based project performance gradually increases over time. Moreover, the promotion effect of mandatory BIM policy on BIM performance shows significant heterogeneity for different stakeholders and organizations of different sizes.

This study examined the impact of policy interventions on BIM-based project performance. The research findings can provide a holistic understanding of the potential implications of innovative mandatory policy in performance improvement and offer some constructive suggestions to policymakers and industry practitioners to promote the penetration of BIM in the construction industry.

This paper analyzes the effect of the Belt and Road Initiative (BRI) on firm green innovation upgrading using data on Chinese firms between 2009 and 2021.

The author adopts the staggered difference-in-difference (DID) method to estimate regressions, treating the proposal of the BRI in 2013 as a policy shock. Our analysis yields few findings.

The author yields few findings. First, the BRI can significantly promote Chinese firms green innovation upgrading. Specifically, the BRI can promote firm green innovation upgrading by 0.9%. Second, the BRI mainly promotes firms green innovation upgrading by promoting firms to increase green entrepreneurship, cooperative innovation and environmental investment. Finally, the BRI has a greater impact on the green innovation upgrading of firms in the digital industrialization industry rather than digital industry and firms with low pollution emissions rather than firms with high-pollution emissions. This research indicates that the BRI is not only an important platform for sustainable development and also an important opportunity for green entrepreneurship.

First, due to the low quality of data and the lack of detailed information on some firms' patents owned after 2018, fully applying data of all years for regression was not possible. Second, the author did not construct a theoretical model to explore the impact of the BRI on green innovation upgrading of firms from the perspective of outward foreign direct investment (OFDI), which is also the direction of future research. Finally, there are still some unexplored mechanisms of the BRI on firms green innovation upgrading, which should be further explored in the future.

First, from the micro perspective, the author measures the quality of firms' green patents, further measuring the firms' green innovation upgrading. Second, the author discusses the impact of the BRI on firm green innovation upgrading with the method of staggered DID, so that the policy effect of the BRI can be more accurately evaluated. Third, the author comprehensively analyzes the mechanism of cooperative innovation and green infrastructure investment, as well as analyzing the heterogeneity from the perspective of industry digital transformation and firm pollution emissions. Lastly, the author provides specific paths for firms to make high-quality investment from the green BRI construction.

A number of states have recently either adopted, or have considered adopting, combined reporting accounting for state income tax purposes. Proponents claim that this policy increases state revenues by obviating certain tax panning techniques, while critics claim this policy causes firms to avoid locating in a state, or to downsize. There has been mixed empirical evidence to support either position. The purpose of this paper is to provide more convincing empirical evidence, which is enabled by a new dataset.

The study uses regression analysis and a new dataset available through Dun & Bradstreet. The analysis employs a firm-specific, difference-in-differences design which controls for trends and specifically identifies multistate firms which might be affected by combined reporting. Specifically, the study examines the economic impacts of the recent adoption of combined reporting by four states in terms of sales and employment changes, moves, births, and deaths. The theoretical scope of the paper uses the economics literature on location choice, combined with traditional tax optimization concepts from the accounting and economics literature.

The results suggest that combined reporting does in fact reduce investment in a state in terms of employment and births, deaths, and moves, and this effect is largest for in-state-based firms. From a policy perspective, this may imply that (ceteris paribus) there is an incentive for firms to move their headquarters/major operations out of combined reporting states and into separate reporting states. Given the recent trend for states to adopt combined reporting, the findings may be important. While imposition of combined reporting may increase state tax revenues, states should also consider that such policies may hurt locally based firms and reduce employment, much more so than for out-of-state-based firms. While firms’ location/expansion decisions are clearly also a function of nontax factors, the results here are broadly consistent with literature reviews which conclude that state business taxes do have an impact on business decision-making.

In addition to contributing to the literature on the economic effects of combined reporting for state income tax purposes, this study also introduces the tax research community to a newly available dataset from Dun and Bradstreet that contains precise locational firm and establishment data for public and private firms, as well as data on births, deaths, and moves. The data allows clear identification of firms that are multistate, as well as affiliate information (including exact name and location of parent); type of legal entity; employment; sales; CEO minority information; government contract data; import/export status; foreign ownership; credit data from D&B and Paydex; and other useful data.

The purpose of this study is to investigate market reaction to corporate governance reform pronouncements on board diversity in Kenyan listed firms.

An event study was performed using 240 days pre-event period and an event period that consisted of 25 days pre and 25 days post the March 2016 board diversity reforms announcement in Kenya. The difference in differences (DiD) method was also used for cause–effect analysis for two years before and three years after the March 2016 board diversity reforms announcement. The outcome variable was firm value, whereas the treatment and control groups were Kenyan listed firms and deposit-taking credit unions, respectively.

The event study method found cumulative abnormal returns after the date of the board diversity reforms announcement to be positive and significant. The DiD methods found a positive and significant market reaction to the March 2016 board diversity reforms announcement in Kenya.

This study was limited by the secondary data that was collected and analyzed from financial statements and stock price data from the Nairobi Securities Exchange (NSE). Financial statements have the disadvantage of being affected by the judgment and estimates of their preparers or accountants.

Emerging markets like the NSE are vulnerable to market manipulation by insiders. Efficient stock markets are known to attract more investors who are interested in a trustworthy stock price determination mechanism. The Capital Market Authority should thus continue implementing corporate governance reforms aimed at improving the efficiency of the NSE and the trustworthiness of stock prices therein. The continued reforms thus imply better value for money for the NSE investors.

This study makes an important contribution to literature by combining an event study and DiD analysis to assess market reaction to board diversity reform announcements in emerging markets of sub-Saharan Africa which is a concept that has not been researched before. Past studies have used event studies to investigate the efficiency status of stock markets in sub-Saharan Africa, whereas the current study used an additional method of DiD and hence contributed to literature.

Adolescent pregnancy stands as a societal challenge, compelling young individuals to prematurely discontinue their education. Conversely, an expansion of high school education can potentially diminish rates of adolescent pregnancy, given that educational attainment stands as the foremost risk factor influencing sexual initiation, the use of contraceptive methods during initial sexual encounters and fertility. The aim of this paper is to analyze the impact of the implementation of the public educational policy introducing full-time schools (FTS) for high schools in the state of Ceará, Brazil, on early pregnancy rates.

Using the difference-in-differences method with multiple time periods, we measured the average effect of this staggered treatment on the treated municipalities.

The main result indicates a reduction of 0.849 percentage points in the teenage pregnancy rate. Concerning dynamic effects, the establishment of FTS in treated municipalities results in a 1.183–1.953 percentage point decrease in teenage pregnancy rates, depending on the timing of exposure. We explored heterogeneous effects within socioeconomically vulnerable municipalities, yet discerned no impact on this group. Rigorous tests confirm the robustness of the results.

This paper aims to contribute to: (1) the consolidation of research on the subject, given the absence of such research in Brazil to the best of our knowledge; (2) the advancement and analysis of evidence-based public policy and (3) the utilization of novel longitudinal data and methodology to evaluate adolescent pregnancy rates.

The Belt and Road Initiative (BRI) is the most comprehensive and substantial international cooperation platform, creating a new market influenced by economic and political factors. In this paper, the authors aim to examine whether and how the BRI impacts the Chinese enterprises' corporate environmental responsibility (CER).

Based on China's listed firms' database from 2011 to 2018, the authors use the PSM-DID method, an econometrics method combined with propensity score matching (PSM) and difference-in-differences (DID), to conduct causal inference between the BRI and Chinese enterprises' CER and conduct a series of robustness analyses. Moreover, the authors explore the mechanisms underlying the main effect from both market and non-market perspectives.

The results suggest that the BRI significantly increases Chinese enterprises' CER. Further analyses show that market competition and government support are two possible mechanisms through which the BRI has an effect on the enterprises' CER.

The research study supplements existing work on the environmental effects of the BRI at a microlevel and adds to the literature on the drivers of CER. The findings offer valuable insights into governments and scholars by demonstrating that CER is a crucial tool for Chinese enterprises to gain a competitive advantage in the increasingly competitive markets along the BRI.