Construction corrupts: empirical evidence from a panel of 42 countries

Kyriacou, Andreas P.; Muinelo‐Gallo, Leonel; Roca‐Sagalés, Oriol

doi:10.1007/s11127-015-0297-0

Cited by 26 publications

(12 citation statements)

References 68 publications

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“…This means that the decrease of government intervention in the market contributes to the decrease of SESR, SSCCR, SER and SCR, which could improve the CSR efficiency. Corruption is more likely to occur in the construction industry in the context of high government intervention [ 88 ], and firms are likely to adopt the rent-seeking behavior rather than the corporate environmental and charitable behavior to obtain more benefits in corrupt context [ 89 ], leading to the company’s lack of incentive to improve the CSR efficiency. Therefore, to improve CSR efficiency of construction companies, the government should weaken its intervention in the market.…”

Section: Resultsmentioning

confidence: 99%

Implementation Efficiency of Corporate Social Responsibility in the Construction Industry: A China Study

Wang

Lai

Song

et al. 2018

IJERPH

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Corporate social responsibility (CSR), as companies’ commitment to the sustainable development of the whole society, is an important approach for construction companies to respond to the emerging social and environmental issues. As the improvement of CSR efficiency leads to the reduction of CSR cost, CSR efficiency is becoming increasingly prominent for construction companies. In this research, the three-stage data envelopment analysis (DEA) model is adopted to analyze the CSR efficiency of Chinese construction companies in the period of 2012–2016. The findings of this research are as follows: (1) the efficiency of the Chinese construction companies in fulfilling CSR has not yet reached an optimal level; (2) the effect of institutional factors on CSR efficiency is complex and non-linear; and (3) the improvement of the CSR efficiency in the Chinese construction industry relies on both optimizing the institutional environment and enhancing the management capacity of CSR efficiency. These findings can not only provide empirical evidence for the government to formulate targeted policy-making regarding marketization to promote construction companies’ efficient commitment of CSR, but also provide construction company managers a valuable reference to benchmarking the CSR efficiency to help them find self-improvement ways to improve CSR efficiency performance.

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Section: Resultsmentioning

confidence: 99%

Implementation Efficiency of Corporate Social Responsibility in the Construction Industry: A China Study

Wang

Lai

Song

et al. 2018

IJERPH

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“…These include property taxes on agricultural land (1), on motor vehicles (10), and on transfers of real estate ownership (7). The latter variable is related to the construction sector, traditionally associated to corruption (Kyriacou et al, 2015). Some of these categories refer to national tax revenues that are transferred to municipalities, as in the case of taxes from export of industrialized products (4).…”

Section: Interpreting the Predictionsmentioning

confidence: 99%

A Machine Learning Approach to Analyze and Support Anti-Corruption Policy

2021

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Can machine learning support better governance? In the context of Brazilian municipalities, 2001-2012, we have access to detailed accounts of local budgets and audit data on the associated fiscal corruption. Using the budget variables as predictors, we train a tree-based gradientboosted classifier to predict the presence of corruption in held-out test data. The trained model, when applied to new data, provides a prediction-based measure of corruption that can be used for new empirical analysis or to support policy responses. We validate the empirical usefulness of this measure by replicating and extending some previous empirical evidence on corruption issues in Brazil. We then explore how the predictions can be used to support policies toward corruption. Our policy simulations show that, relative to the status quo policy of random audits, a targeted policy guided by the machine predictions could detect almost twice as many corrupt municipalities for the same audit rate. Similar gains can be achieved for a politically neutral targeting policy that equalizes audit rates across political parties.

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“…According to the study of Yin et al, the best policy means to support OFDI is to relax regulatory policy and introduce supervision and service policies [21]. Moreover, investment in transport infrastructure involves the government's decision-making on large, complicated projects with uncertain standards, which is extremely susceptible to government corruption [22,23]. Considering tangibility and visibility of transportation investment, politicians participating in the election may be influenced by politics, and thus their investment efficiency is not optimal [24].…”

Section: Literature Reviewmentioning

confidence: 99%

Evaluation of Chinese Transport Infrastructure Investment Performance in Countries along the Belt and Road Initiative

Liu

Jin

et al. 2021

Mathematical Problems in Engineering

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Since the launch of the Belt and Road Initiative (BRI) in 2013, Chinese enterprises have invested heavily in transport infrastructure projects. In order to better promote Chinese overseas transport infrastructure investment (TII) and avoid additional risks, it is necessary to scientifically assess the performance of Chinese TII in countries along the BRI and explore the promotion path of Chinese TII performance. For this reason, we used a superefficient slacks-based measurement (SE-SBM) model to calculate Chinese TII performance based on 5 dimensions, including political environment, economic environment, institutional environment, humanistic environment, and social environment. These 5 dimensions were divided into 14 indicators, and we used quantification with indirect data to quantify all indicators. Then, according to the performance value of selected countries, we classified them into high-, medium-, and low-performance areas. Next, combined with the scale of returns and the shadow price of input indicators, we provided the promotion measures of each performance area. Our analysis generates valuable measures to reduce TII risks and better promote the connectivity of countries along the BRI.

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Construction corrupts: empirical evidence from a panel of 42 countries

Cited by 26 publications

References 68 publications

Implementation Efficiency of Corporate Social Responsibility in the Construction Industry: A China Study

Implementation Efficiency of Corporate Social Responsibility in the Construction Industry: A China Study

A Machine Learning Approach to Analyze and Support Anti-Corruption Policy

Evaluation of Chinese Transport Infrastructure Investment Performance in Countries along the Belt and Road Initiative

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