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This paper aims to measure and compare agricultural total factor productivity (TFP) growth in China and India and relates TFP growth in each country to policy milestones and investment in agricultural research.

TFP is measured using a non‐parametric Malmquist index which allows the decomposition of TFP growth into its components: efficiency and technical change.

Comparing TFP growth in China and India it is found that efficiency improvement played a dominant role in promoting TFP growth in China, while technical change has also contributed positively. In India, the major source of productivity improvement came from technical change, as efficiency barely changed over the last three decades, which explains lower TFP growth than in China. Agricultural research has significantly contributed to improve agricultural productivity in both China and India. Even today, returns to agricultural R&D investments are very high, with benefit/cost ratios ranging from 20.7 to 9.6 in China and from 29.6 to 14.8 in India.

The applied methodology and the comparison between TFP growth patterns contribute to a better understanding of the consequences that the different approaches to agricultural reform followed by China and India had on the performance of agriculture in both countries.

The recent high food price and volatility, as well as economic recession, have reversed the last decade's progress in reducing hunger and poverty. This aim of this paper is to conduct a factor and sequential typology analysis to identify groups of countries categorized according to five measures of food security.

The recent high food price and volatility, as well as economic recession, have reversed the last decade's progress in reducing hunger and poverty. This paper conducts a factor and sequential typology analysis to identify groups of countries categorized according to five measures of food security – consumption, production, imports, distribution, and agricultural potential – by using indicators from 175 countries. The analysis first identifies five distinct food security groups, measured by the levels of nutrient intake, and then further splits these groups based on indicators of food production, trade security, and agricultural potential.

The results suggest that the terms of “developing country” or “low income country” can be inaccurate in the discussion of food security because they are too general and can actually mask the extreme heterogeneity in different aspects of food security. The results also indicate that different responses are needed by different types of food‐insecure countries to address their unique food and economic challenges.

The typology of food security and linkage between agricultural potential and food security contribute to a better understanding of the effectiveness of different policy interventions under a country's unique conditions.

China and India have made significant strides in transforming their agricultural sectors to cut hunger and poverty for the masses through improved agricultural productivity. Given limited land and shift of labor to non-agricultural sector, increasing productivity will continue to be central in agricultural growth in the twenty-first century. The purpose of this paper is to provide comparative analysis of the agricultural total factor productivity (TFP) growth in the two countries. It complements existing literature by examining the evolution and drivers of TFP at disaggregated sub-national level. Richer data allows a deeper understanding of the nature and drivers of TFP growth in the two countries.

This paper applies different analytical framework to address different research questions using data since 1980. China study estimates a parametric output-based distance function using a translog stochastic frontier function. Productivity growth index and its multiple components are calculated using parameters derived from the parametric approach to identify the characteristics of technology such as structural bias. India study first applies data envelopment analysis to estimate the aggregate productivity growth index, technical change (TC), and efficiency change. Next productivity indexes by for traditional crops are estimated using growth accounting framework at state level. Finally, a panel regression links TFP on its determinants.

Several common themes emerge from this comparative study. Faced with similar challenges of limited resources and growing demand, improving productivity is the only way to meet long-term food security. Agriculture sector has performed impressively with annual TFP growth beyond 2 percent in China and between 1 and 2 percent in India since the 1980s. The TFP growth is mainly propelled by technological advance but efficiency had been stagnant or even deteriorated. This study provides a granular picture of within country heterogeneity: fast growth in the North and Northeast part of China, South and East of India.

The study suggests some possible policy interventions to improve agricultural productivity, including investment in agricultural R & D to create advanced production technology, effective extension programs and supportive policies to increase efficiency, and diversification from staple crops for sector-wide growth. The India study suggests certain policies may not be contributing much to productivity growth in the long run due to a negative impact on environment. Further studies are needed to expand the productivity analysis to take into consideration of the negative externalities to the society. Data enhancement to account for quality-adjusted inputs could improve the estimation of productivity growth.

Each country study reveals certain prospects of the agricultural sector and production technology. China analysis statistically confirms the existence of technical inefficiency and technology progress, suggests the translog form is appropriate to capture the production technology and satisfies conditions stipulated in theoretical models. The results indicate TC does not influence the contribution of output or input to the production process. India study pinpoints the lagging productivity growth of traditional crops, which still derives growth from input expansion. Although different states benefited from different crops, sector-wide productivity gain is primarily the result of diversification to high-value crops and livestock products.

The main objectives of collective forest tenure reform in China are to stimulate rural households to invest in forestry management, protect the ecosystem and improve their livelihood. By constructing the unbalanced panel data of household investment, this study discusses the dynamic changes and influencing factors of household investment, which will lay a foundation for further research and provide a reference for decision-making.

Based on 3,500 samples from rural households in the provinces of Fujian, Hunan, Yunnan, Shaanxi, Jiangxi, Gansu, and Liaoning collected during field investigations from 2010 to 2015, this study conducts an empirical analysis of the household investment in forestry management and its factors with nonbalanced panels.

According to the analysis, the average investment in forestry management per household from 2010 to 2015 fluctuates greatly; the age of the householder, increased forestry area, subsidies, joining professional cooperatives, and forest tenure mortgage show positive effects on achieving the objectives.

The discussions are drawn from the study that supporting policies such as the forest tenure transfer system, professional cooperatives, financial services and subsidies should be further improved to sustain a positive in the forestry industry.

The challenge of unforeseen uncertainties in exploratory projects requires the lead firm in a project alliance to effectively manage exploratory co-innovation. The purpose of this paper is to investigate the types of capabilities a lead firm required in exploratory projects and how these capabilities enable the exploratory innovation of the project alliance.

A multiple-case study was done to provide empirical evidence for the rationale of the capabilities of the lead firm. The provided analysis used abductive reasoning of two typical exploratory projects in China.

This paper identifies two types of capabilities: innovation-related capabilities and network-related capabilities. Furthermore, a process model of the capabilities of the lead firm is developed that enables exploratory co-innovation in a project alliance. The capabilities of the lead firm input varied at four different stages.

Innovation-related capabilities and network-related capabilities could form the foundation for the lead firm in an exploratory project alliance. This will enable an exploratory co-innovation and collaboratively overcome the barriers of exploratory projects.

Although exploratory project attracts extensive attention for its unique characteristics and universal value, there is limited amount of research on the context of joint exploratory projects. This study starts from the role of lead firm in an exploratory project alliance, contributes toward the comprehension of the link between the lead firm’s capabilities and the process of exploratory co-innovation. The findings will be of value in supporting the management of exploratory innovation in a project alliance.

Total factor productivity (TFP) has become a prominent concept in agriculture economics and policy over the last three decades. The main aim of this paper is to obtain a detailed picture of the field via bibliometric analysis to identify research streams and future research agenda.

The data sample consists of 472 papers in several bibliometric exercises. Citation and collaboration structure analyses are employed to identify most important authors and journals and track the interconnections between main authors and institutions. Next, content analysis based on bibliographic coupling is conducted to identify main research streams in TFP.

Three research streams in agricultural TFP research were distinguished: TFP growth in developing countries in the context of policy reforms (1), TFP in the context of new challenges in agriculture (2) and finally, non-parametric TFP decomposition based on secondary data (3).

This research indicates agenda of future TFP research, in particular broadening the concept of TFP to the problems of policy, environment and technology in emerging countries. It provides description of the current state of the art in the agricultural TFP literature and can serve as a “guide” to the field.

This study aims to examine the timing of the disclosure of a firm’s environmental certification. In general, certifications comply with signaling and legitimacy theories and serve to bolster a firm’s reputation, financial performance and valuation, among other benefits. However, when a firm finds itself facing a reputational threat, it is unclear whether disclosing a recent certification would provide those same benefits or be perceived by investors as “greenwashing” or a disingenuous distraction from the threat.

This study is based on a case and survey the authors developed that is supported in methodology and approach by past academic work.

The findings suggest that in the short term, the disclosure of the certification benefits the firm regardless of the current reputational environment, good or bad. More specifically, investors view the certification as a benefit (rather than an attempt to distract) even when its disclosure was immediately proceeded by a reputational threat.

This study is limited by the population of survey respondents from which the authors collected data and their internal predispositions and biases.

This work is applicable to firms that have engaged in certifications or are considering such certifications as well as firms that provide certification services. The study is also relevant to stakeholders and consumers of information related to certifications.

This study is operationalized through the use of a case and survey the authors developed. The research question the authors attempt to answer is derived from a question raised in the literature. The authors are unaware of any other study that addresses this question.