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Corporations, as key contributors of greenhouse gas emissions, have been increasingly scrutinized by governments and stakeholders. Corporations have been asked to disclose their carbon-related information. This study investigates public corporate carbon disclosure, an imperative communication channel between firms.

This study uses generalized estimation equation models with a longitudinal panel data of 311 listed firms in the China A-share stock index from 2010 to 2020. This study collected firm-level data from the Carbon Disclosure Project survey, the China Stock Market and Accounting Research, and the National Economic Research Institute of China. Stata was used as the primary statistic software in empirical analyses.

This study finds that compared to state-owned enterprises (SOEs), private firms are more willing to disclose carbon information under legitimate environmental pressure, and firms in highly distorted factor-markets are reluctant to disclose carbon information. This study finds that factor-distortion markets further moderate ownership and lead private firms in highly distorted factor-markets to behave like SOEs by significantly reducing their carbon disclosures.

This study intends to contribute to the corporate carbon disclosure literature by adding important institutional determinants to the conversation in the context of China.

We extend the Jones (1971) analysis of the effects of distortions in 2×2 trade models to the case of a two-sector dynamic general equilibrium model of a small open economy with capital accumulation. We do a comparative steady state analysis for the effect of policy changes on factor prices and the capital stock, and examine the dynamics of the system in the neighborhood of the steady state. We also show that the system will have multiple equilibria when value and physical factor intensity rankings of the sectors do not agree.

This paper aims to explore the impact of domestic market fragmentation on the innovation performance of enterprises and its mechanism from the perspective of market segmentation, a government behavior with Chinese characteristics.

In order to verify the theoretical hypothesis proposed in the previous article, that is, whether domestic market fragmentation can effectively improve the innovation performance of enterprises, this paper bases on the data of listed companies from 2010 to 2016, empirically testing the theoretical hypothesis by constructing a measurement model.

Domestic market fragmentation has a significant inhibitory effect on enterprise innovation performance. Domestic market fragmentation has heterogeneous effects on innovation performance of enterprises and regions. It is undeniable that domestic market fragmentation does have a certain support effect on state-owned enterprises but the support effect is achieved by distorting regional resource allocation and creating an unfair market environment.

Firstly, this paper explores the impact mechanism of domestic market fragmentation on corporate innovation performance from the perspective of market segmentation, a government behavior with Chinese characteristics, so as to expand and enrich the relevant research on enterprise innovation. Secondly, from the perspective of corporate innovation performance, this paper provides new evidence for the “curse effect” of domestic market fragmentation. Thirdly, this paper tries to shake the domestic market fragmentation support theory from the perspective of distortion effect brought by the “hand of support” of domestic market fragmentation.

This paper aims to theoretically find out whether investments could close the formal-informal wage gap in India.

The paper builds a general equilibrium model of a developing economy with a large informal sector and a capital-intensive formal sector with sector-specific capital and incorporates endogenous demand.

With homothetic preferences, a small initial wage premium and elastic relative demand, investment in the formal sector is likely to close the wage gap, but the gap persists with non-homothetic preferences. However, investment in the informal sector is unlikely to close the wage gap with either type of preferences.

Though labour market distortions in developing economies leading to a formal-informal wage gap are well-documented in the development literature, little attention has been given to the question of whether such a gap would close over time.

This study aims to motivate the reality that experiential investigation of immiserizing growth has not been performed at large. The key objective of the study is to analyse the empirical existence of immiserizing growth in the real world.

Theory of revealed preferences has been implemented for welfare movement by using Laspeyres and Paasche quantity index and for empirical estimations, logistic regression has been applied. The study established panel data of the world’s largest trading nations, including the USA, China, France, Germany, UK, Italy, Japan, the Netherland and Canada. Annual time series data for an extensive time period covering from 1981 till 2017 have been used.

Findings of the Laspeyres and Paasche index reveal that out of nine countries immiserizing growth prevails in five nations and those are Italy, Canada, the Netherland, UK and Japan. The results of panel logistic regression verify the significance of terms of trade on immiserizing growth in all included countries. Separate logistic regression has also been performed on all the five countries from which Italy, Canada, the Netherland exhibit significant results.

This study is a pioneer attempt towards the concept of immiserizing growth. Considering the fact that immiserizing growth is viewed by the majority of the scholars as a theoretical notion, this study attempts to investigate analytically the existence of immiserizing growth with real data set. The impact of terms of trade deterioration on the welfare of the world’s largest trading nations has been focused on the research which is in compliance with the concept of Bhagwati (1958).

Prior studies have confirmed market segmentation as an important shackle to China's macroeconomy upgrade, but the systematic analysis of microenterprise upgrade remains inadequate. This paper aims to investigate the nonlinear impact of market segmentation on microenterprise upgrade.

The price method was applied to calculate China's provincial market segmentation, including commodity, capital, labor and energy. The generalized method of moments was employed to examine the nonlinear impact of market segmentation on the upgrading of manufacturing enterprises based on microenterprise data from 2003 to 2019.

First, China’s heterogeneous market segmentations have been significantly reduced. Macroeconomics and policies are critical factors in market integration. Second, there is an inverted U-shaped relationship between China’s total market segmentation and the upgrading of manufacturing enterprises. Third, the relationship between the commodity market segmentation, labor market segmentation, energy market segmentation and manufacturing enterprises' upgrade is shown as an inverted U-shaped. Nevertheless, the relationship between the capital market segmentation and upgrading of manufacturing enterprises exhibits a U-shape.

The impact of market segmentation on the upgrading of manufacturing enterprises in China performs nonlinearly. An inverted U-shaped relationship exists between market segmentation in commodity, labor and energy and the upgrading of manufacturing enterprises, while a U-shaped relationship prevails between capital market segmentation and the upgrading of manufacturing enterprises.

This study aims to focus on the role of labor regulation and credit market imperfections, in addition to that of factor endowments, in determining capital intensities in Indian manufacturing.

The paper considers an alternative approach to identifying the effects of India ' s labor regulations on industrial performance. In particular, the paper uses a measure of the stringency of labor regulations across countries – one that is completely independent of the India-specific measures used by earlier studies – and examines its relationship with capital intensities across manufacturing industries. Additionally, since labor regulations are unlikely to be the only reason for imperfections in factor markets, the paper also examines whether and to what extent capital market imperfections affect capital intensities across manufacturing industries. The paper then presents a case study that seeks to ascertain whether actual capital intensities prevailing in Indian manufacturing in major industry groups from 1989 to 1996 were larger than predicted capital intensities for these industry groups based on relative factor demand functions estimated for the USA (a country with relatively less restrictive labor laws and a more developed financial system) evaluated at Indian wages. Finally, the paper uses a recently available dataset to compare capital intensities in Indian and Chinese manufacturing to investigate the behavior of these two emerging Asian economies since 1980, when they started out with relatively similar socio-economic conditions.

The paper finds that India uses more capital-intensive techniques of production in manufacturing than countries at similar levels of development (and similar factor endowments), including China. For a majority of manufacturing industries, labor freedom and capital market development are, in addition to factor endowments, important determinants of capital intensity of production techniques used. Results reveal that, controlling for factor prices, India specializes in more capital-intensive varieties within broad industry groups relative to the USA, a more capital-abundant economy.

To the best of the authors ' knowledge, such a study has not been done for any other country. The paper sheds light on the important issue regarding the use of capital-intensive techniques in manufacturing in India, which is a labor-abundant country. The role of labor regulation has been extensively debated and the paper also investigates its role along with the role played by credit market imperfections.

The collection of essays in this volume provides fairly comprehensive analyses of contemporary theoretical and policy issues in international trade. As technological revolution eliminates communications costs and the countries gear towards more open trade regimes through negotiations at the WTO, the world effectively gets smaller. The evolution of research in trade theory and policy has closely followed the trends in global economy. Issues such as how trade affects distribution of income across and within nations, generates resources for growth, leads to bilateral and multilateral cooperation and conflicts, and many others have been picked up and analyzed systematically in various chapters of this volume. Before we go into the details of the relevant sections and constituent chapters, it is worthwhile to emphasize two special features of this volume.

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.