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The change in CEO pay after their firms make large corporate investments is examined. Whether the change in CEO pay is a beneficial practice or harmful practice to firms is investigated.

A sample of firms that make large corporate investments is identified. For this sample, we identify the change in CEO pay before and after the investment, and we also measure the pay-for-size sensitivity of these investing firms.

For firms that make large corporate investments, CEOs get significantly more option grants when their firms’ stock returns are negative after the investments and these investing CEOs get more option grants than noninvesting CEOs.

The present study suggests that firms may have to increase CEO pay after large corporate investments to encourage investment. However, the results may also be consistent with an agency cost explanation. Future research should try to distinguish between the two explanations.

The study reveals a potential way to prevent CEOs from underinvesting.

The study provides important insights to shareholders on how to encourage CEOs to get their firms to invest, and on how to view CEO pay increases after their firms invest.

The purpose of this paper is to examine the impact of changes in farm economic conditions and macroeconomic trends on US farm capital expenditures between 1996 and 2013.

A synthetic panel is constructed from Agricultural Resource Management Survey (ARMS) data. A dynamic system GMM regression model is estimated for farms as a whole and separately within farm typology categories. The use of farm typologies allows for comparison of the relative magnitudes of these estimates across farms by farm sales level and the operator’s primary occupation.

Changes in gross farm income levels, tax depreciation rates, and interest rates have a significant impact on crop farm investment, while changes in output prices, net cash farm income levels, tax depreciation rates, and farm specialization levels have significant impacts on livestock farm capital investment. The relative significance and magnitudes of these impacts differ within farm typologies. Significant differences include a greater responsiveness to change in tax policy variables for residential crop farms, greater responsiveness to changes in output prices and debt to asset ratios for intermediate livestock farms, and larger changes in commercial crop and livestock farm investment given equivalent changes in farm sales or the returns to investment.

These findings are of interest to agricultural economists when constructing farm investment models and employing pseudo panel methods, to those in the agricultural equipment and manufacturing sector when constructing models to manage inventories and plan for production needs across regions and over time, to those involved in drafting tax policy and evaluating the potential impacts of tax changes on agricultural investment, and for those in the agricultural lending sector when designing and executing agricultural capital lending programs.

This study uniquely identifies differences in the level of investment and the magnitude of investment responsiveness to changes in farm economic conditions and macroeconomic trends given differences in income levels and primary operator occupation. In addition, this study is one of the few which utilizes ARMS data to study farm capital investment. Utilizing ARMS data provides a rich panel data set, covering producers across many different crop production types and regions. Finally, employing pseudo panel construction methods contributes to efforts to effectively employ cross-sectional data and dynamic models to study farm behavior across time.

This study examines green investment reforms carried out in Bangladesh. The reform process curated significant changes by promoting green investment and fostering the adoption of risk management (RM) rationalities. This study’s focus is on revealing changes in behaviour and explaining how RM can act as an effective generator of climate change mitigation practices.

Building on Foucault's concept of governmentality, the authors apply a “green governmentality” interpretive lens to analyse interviews and documentary evidence, adopting a qualitative case study approach. The authors explore how green governmentality generates RM rationalities and techniques to induce policies and practices within banks and financial institutions (FIs) for climate change mitigation purposes.

The findings provide valuable insights into the reform process and influence of RM rationalities in the context of environmental concerns. The authors find that the reforms and creation of RM rationalities affect the management of climate mitigation practices within banks and FIs and identify the processes through which the RM techniques are transformed as climate concerns are emphasised. The authors illustrate green governmentality as persuasive strategies, which have generated specific ways of seeing climate change reality and new ways of inserting RM into organisational activities, through the green governmentality effects they created. These reforms made climate change actionable and governable through the production of RM rationalities, supported by accounting conceptualisations and processes.

The insights from this study can assist with how we act upon questions of climate change from an RM perspective. Governments, policymakers and regulators who develop climate change-related laws, regulations and policies can draw on these insights to help foster green governmentality for climate change mitigation actions informed by RM practices.

This study offers insights into how climate change is not simply a biophysical reality but a site of power-knowledge dynamics where RM rationalities are constructed, and accounting processes are transformed. The authors show the application of RM and accounting efforts to change investment practices and how changes were encouraged and promoted by using regulation as a persuasive force on knowledgeable subjects rather than a repressive or oppressive power. The analytic power of green governmentality can be applied to increase understanding of how RM rationality contribute to the creation of useful conceptualisations of climate change and provide insights into how organisations respond to green governmentality.

This paper aims to explore the increasing role of financialisation on investment decisions in the power generation industry in Great Britain (GB). Such decisions affect society, and the relative role of financialisation in these macro-levels decisions has not been explored from a historical perspective.

The paper draws on historical material and interview data. Specifically, we use an approach inspired by institutional sociology drawing on elements of Scott’s (2014) pillars of institutions. Applying concepts stemming from regulative and normative pressures, we explore changes in investments over the analysis period to determine forces which institutionalised practices – such as accounting – into investment in power generation.

Investments in electricity generation have different levels of public and private participation. However, the common logics that underpin such investment practices provide an important understanding of political-economics and institutional change in the UK. Thus, the heightened use of accounting in investment has been, to some extent, a contributory factor to the power supply problems now faced by the British public.

This paper contributes to prior literature on the effects of financialisation on society, adding power generation/energy supply to the many societal level issues already explored. It also provides brief but unique insights into the changing nature of the role of accounting in an industry sector over an extended timeframe.

Economic theories on structural change focus on factors such as fluctuations in relative prices and income growth. In addition, China’s reform and opening up has also been accompanied by increasing openness, significant fluctuations in investment rates, and frictions in the labor market. Existing literature lacks a unified theoretical framework to assess the relative importance of all these determinants. The paper aims to discuss these issues.

To incorporate all of the potential determinants of China’s structural change, the authors build a two-country four-sector neoclassical growth model that embeds the multi-sector Eaton and Kortum (2002) model of international trade, complete input-output structure, non-homothetic preference and labor market frictions. The authors decompose the sectoral employment shares into six effects: the Baumol, Engel, investment, international trade, factor intensity and labor market friction effects. Using the data of Chinese economy from 1978 to 2011, the authors perform a quantitative investigation of the six determinants’ effects through the decomposition approach and counterfactual exercises.

Low-income elasticity of demand, high labor intensity, and the existence of the switching costs are the reasons for the high employment share in the agricultural sector. Technological progress, investment and international trade have comparatively less influence on the proportion difference of employment in the three sectors.

Therefore, to examine the impact on China’s structural change, in addition to Baumol effect and the Engel effect, it is also necessary to consider the impact of three more factors: international trade, investment and switching costs. Therefore, the authors decompose the factors that may influence China’s structural change into the Baumol, Engel, investment, international trade, factor intensity effect and switching cost effects. The authors evaluate these six effects using the decomposition approach and counterfactual exercises.

Despite the availability of methods and techniques designed to assist with predictive and retrospective evaluation of ICT initiatives, management continues to struggle to perform meaningful evaluations, and the measurement of ICT investment payoff remains a challenge. A recurring problem associated with failed ICT‐based investment is poor change management. This paper aims to focus on the value of understanding the change management aspects of ICT investments.

A framework was developed from a study of the change management literature. An empirical investigation involving a qualitative case study approach was then conducted in order to assess the efficacy of the framework during the evaluation process.

Business benefit from ICT is likely only when ICT investment is accompanied by appropriate change management skills. The study highlights the particular importance of communication, championing and change agency, resources, and the project timescale.

Results were generated from a single case study. It is also acknowledged that it is unclear what impact (if any) a parallel project had on the project under investigation.

The paper highlights the value of effective change management, placing particular emphasis on effective communication during all stages of a project.

The paper explicitly employs change management techniques in order to identify potential problem areas. It recommends longitudinal research be conducted in order to employ the framework during both ex ante and ex post evaluation for a single initiative.

Japanese regional banks have actively expanded their overseas business in emerging markets, and this topic is quite important for regional banks that have confronted severe business environments over the decades. An aging population suppresses long-term increases in loan demands, and stagnant economic conditions lead to lowered interest rates in the medium-term. Overseas business is a promising business field for regional banks, but recent developments have not been investigated in detail.

This chapter examines overseas investments using data from regional banks’ financial reports. Our sample comprises 44 regional banks without overseas branches, and a research period from FY2011 to FY2015. We demonstrate different overseas business patterns among regional banks. This investigation uses X-means clustering, which is nonhierarchical, as this method automatically presents an optimal number of clusters, and sorts regional banks into their appropriate clusters.

The X-means clustering method indicates five business patterns among regional banks. This also characterizes respective clusters and demonstrates that medium-sized banks actively develop security investments, which increases overseas business’s contributions to profits. Meanwhile, small banks cannot expand overseas investments, which differ from other banks. These banks must seek other business models to compensate for this decline in their earning power.