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Purpose The climate change effects on agricultural output in different regions of the world and have been debated in the literature of emerging economies. Recently, the agriculture sector has influenced globally through climate change and also hurts all sectors of economies. This study aims to examine and explore the impact of global climate change on agricultural output in China over the period of 1982-2014. Design/methodology/approach Different unit root tests including augmented Dickey–Fuller, Phillips–Perron and Kwiatkowski, Phillips, Schmidt and Shin are used to check the order of integration among the study variables. The autoregressive distributed lag (ARDL) bounds testing approach to cointegration and the Johansen cointegration test are applied to assess the association among the study variables with the evidence of long-run and short-run analysis. Findings Unit root test estimations confirm that all variables are stationary at the combination of I(0) and I(1). The results show that CO2 emissions have a significant effect on agricultural output in both long-run and short-run analyses, while temperature and rainfall have a negative effect on agricultural output in the long-run. Among other determinants, the land area under cereal crops, fertilizer consumption, and energy consumption have a positive and significant association with agricultural output in both long-run and short-run analysis. The estimated coefficient of the error correction term is also highly significant. Research limitations/implications China’s population is multiplying, and in the coming decades, the country will face food safety and security challenges. Possible initiatives are needed to configure the Chinese Government to cope with the adverse effects of climate change on agriculture and ensure adequate food for the growing population. In concise, the analysis specifies that legislators and policy experts should spot that the climate change would transmute the total output factors, accordingly a county or regional specific and crop-specific total factor of production pattern adaptation is indorsed. Originality/value The present empirical study is the first, to the best of the authors’ knowledge, to investigate the impact of global climate change on agricultural output in China by using ARDL bounds testing approach to cointegration and Johansen cointegration test.

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PurposeIn the developing countries, formal credit has dominant role for the development of agriculture sector. It increases the farmer's purchasing power for better farm inputs and agricultural technology for high crop productivity. The main purpose of this study is to examine the influence of socioeconomic characteristics of smallholder farmers for credit demand in Sindh, Pakistan.Design/methodology/approachA cross-sectional data set randomly collected from 90 smallholder farmers in Thatta district, Sindh, Pakistan, is examined. Descriptive statistics, correlation and the OLS regression method were used to demonstrate the important factors affecting the demand for formal credit.FindingsThe results revealed that formal education, experience of farming, landholding size, road access and extension contacts positively and significantly influenced the demand for formal credit.Originality/valueThis study is the first, to the best of authors' knowledge, to demonstrate the influence of various socioeconomic characteristics of smallholder farmers on demand for formal credit in Sindh, Pakistan. It also illustrates the imperative contribution to the literature regarding credit access and demand to improve the agricultural productivity.

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